--- _id: '570' abstract: - lang: eng text: Additive manufacturing (AM) has matured rapidly during the last years due to the advancement of AM machines and materials. Nevertheless, the widespread adoption of AM is still challenged by producing parts with reliable quality. The aim of this paper is t o introduce a first approach to apply in-situ monitoring for quality evaluation of produced parts. Based on the monitored data, a model is developed, in order to predict the quality of ready built parts. author: - first_name: Eva full_name: Scheideler, Eva id: '61522' last_name: Scheideler - first_name: Andrea full_name: Huxol, Andrea id: '43559' last_name: Huxol - first_name: Franz-Josef full_name: Villmer, Franz-Josef id: '14290' last_name: Villmer citation: ama: 'Scheideler E, Huxol A, Villmer F-J. Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, eds. Production Engineeringand Management. Publication series in direct digital manufacturing . Lemgo; 2017:89-100.' apa: Scheideler, E., Huxol, A., & Villmer, F.-J. (2017). Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models. In E. Padoano, F.-J. Villmer, & Department of Production Engineering and Management (Eds.), Production Engineeringand Management (pp. 89–100). Lemgo. bjps: Scheideler E, Huxol A and Villmer F-J (2017) Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models. In Padoano E, Villmer F-J and Department of Production Engineering and Management (eds), Production Engineeringand Management. Lemgo, pp. 89–100. chicago: Scheideler, Eva, Andrea Huxol, and Franz-Josef Villmer. “Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models.” In Production Engineeringand Management, edited by Elio Padoano, Franz-Josef Villmer, and Department of Production Engineering and Management, 89–100. Publication Series in Direct Digital Manufacturing . Lemgo, 2017. chicago-de: 'Scheideler, Eva, Andrea Huxol und Franz-Josef Villmer. 2017. Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models. In: Production Engineeringand Management, hg. von Elio Padoano, Franz-Josef Villmer, und Department of Production Engineering and Management, 89–100. Publication series in direct digital manufacturing . Lemgo.' din1505-2-1: 'Scheideler, Eva ; Huxol, Andrea ; Villmer, Franz-Josef: Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models. In: Padoano, E. ; Villmer, F.-J. ; Department of Production Engineering and Management (Hrsg.): Production Engineeringand Management, Publication series in direct digital manufacturing . Lemgo, 2017, S. 89–100' havard: 'E. Scheideler, A. Huxol, F.-J. Villmer, Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineeringand Management, Lemgo, 2017: pp. 89–100.' ieee: E. Scheideler, A. Huxol, and F.-J. Villmer, “Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models,” in Production Engineeringand Management, Pordenone, Italy, 2017, no. 1, pp. 89–100. mla: Scheideler, Eva, et al. “Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models.” Production Engineeringand Management, edited by Elio Padoano et al., no. 1, 2017, pp. 89–100. short: 'E. Scheideler, A. Huxol, F.-J. Villmer, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineeringand Management, Lemgo, 2017, pp. 89–100.' ufg: 'Scheideler, Eva et. al. (2017): Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models, in: Elio Padoano et. al. (Hgg.): Production Engineeringand Management (=Publication series in direct digital manufacturing ), Lemgo, S. 89–100.' van: 'Scheideler E, Huxol A, Villmer F-J. Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, editors. Production Engineeringand Management. Lemgo; 2017. p. 89–100. (Publication series in direct digital manufacturing ).' conference: end_date: 2017-09-29 location: Pordenone, Italy name: Proceedings7th International Conference start_date: 2017-09-28 corporate_editor: - Department of Production Engineering and Management - Hochschule Ostwestfalen-Lippe date_created: 2019-02-18T09:46:43Z date_updated: 2023-03-15T13:50:01Z department: - _id: DEP1306 editor: - first_name: Elio full_name: Padoano, Elio last_name: Padoano - first_name: Franz-Josef full_name: Villmer, Franz-Josef last_name: Villmer issue: '1' keyword: - Nondestructive quality control - Predictive analytics - Metal model - Additive manufacturing language: - iso: eng main_file_link: - open_access: '1' url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf oa: '1' page: 89-100 place: Lemgo publication: Production Engineeringand Management publication_identifier: isbn: - 978-3-946856-01-6 publication_status: published related_material: link: - relation: contains url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf series_title: 'Publication series in direct digital manufacturing ' status: public title: Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models type: conference user_id: '45673' year: 2017 ... --- _id: '573' abstract: - lang: eng text: Additive manufacturing (AM) technologies have not only revolutionized product development and design by enabling rapid prototyping. They also gained influence on production in general, mainly because of their direct manufacturing capabilities. In the context of Industry 4.0 and the related process automation, innovative and advanced production technologies with completely new approaches are required [1]. AM technologies contribute to this with their advantages like freedom of design, cost efficient product individualization, and functional integration. On the other hand, AM still shows shortcomings in exploiting its full potential. Most current AM technologies are only applicable for manufacturing with singular materials. In particular, opportunities for processing of optically or electrically conductive materials are still missing. This paper contributes to the advancement of additive manufacturing of two different material variants or even two completely different materials. A special focus is laid on producing a part that combines mechanical with optical or electrical functionalities in one process step. The ultimate goal is to integrate sensor functionalities into an AM object, e.g. strain gauges. Extrusion processes, predominantly Fused Layer Modeling (FLM), are preferred in this research due to their mechanically simple machine setup in which additional functional materials can be adapted easily to the build process. In a first step, the general manufacturability has been evaluated. Thereafter, the resulting optical transmission properties have been analyzed. Especially the attenuation has to remain below a threshold value to accomplish a minimum signal-to-noise ratio. author: - first_name: Patrick full_name: Ehlert, Patrick id: '62091' last_name: Ehlert - first_name: Oliver full_name: Stübbe, Oliver id: '51864' last_name: Stübbe orcid: https://orcid.org/0000-0001-7293-6893 - first_name: Franz-Josef full_name: Villmer, Franz-Josef id: '14290' last_name: Villmer citation: ama: 'Ehlert P, Stübbe O, Villmer FJ. Investigation on the Direct Manufacturing of Waveguides and Sensors Using FLM Technology. In: Padoano E, Villmer FJ, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, eds. Production Engineering and Management. Publication series in direct digital manufacturing . ; 2017:127-136.' apa: Ehlert, P., Stübbe, O., & Villmer, F.-J. (2017). Investigation on the Direct Manufacturing of Waveguides and Sensors Using FLM Technology. In E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, & Hochschule Ostwestfalen-Lippe (Eds.), Production Engineering and Management (Issue 1, pp. 127–136). bjps: Ehlert P, Stübbe O and Villmer F-J (2017) Investigation on the Direct Manufacturing of Waveguides and Sensors Using FLM Technology. In Padoano E et al. (eds), Production Engineering and Management. Lemgo, pp. 127–136. chicago: Ehlert, Patrick, Oliver Stübbe, and Franz-Josef Villmer. “Investigation on the Direct Manufacturing of Waveguides and Sensors Using FLM Technology.” In Production Engineering and Management, edited by Elio Padoano, Franz-Josef Villmer, Department of Production Engineering and Management, and Hochschule Ostwestfalen-Lippe, 127–36. Publication Series in Direct Digital Manufacturing . Lemgo, 2017. chicago-de: 'Ehlert, Patrick, Oliver Stübbe und Franz-Josef Villmer. 2017. Investigation on the Direct Manufacturing of Waveguides and Sensors Using FLM Technology. In: Production Engineering and Management, hg. von Elio Padoano, Franz-Josef Villmer, Department of Production Engineering and Management, und Hochschule Ostwestfalen-Lippe, 127–136. Publication series in direct digital manufacturing . Lemgo.' din1505-2-1: 'Ehlert, Patrick ; Stübbe, Oliver ; Villmer, Franz-Josef: Investigation on the Direct Manufacturing of Waveguides and Sensors Using FLM Technology. In: Padoano, E. ; Villmer, F.-J. ; Department of Production Engineering and Management ; Hochschule Ostwestfalen-Lippe (Hrsg.): Production Engineering and Management, Publication series in direct digital manufacturing . Lemgo, 2017, S. 127–136' havard: 'P. Ehlert, O. Stübbe, F.-J. Villmer, Investigation on the Direct Manufacturing of Waveguides and Sensors Using FLM Technology, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.), Production Engineering and Management, Lemgo, 2017: pp. 127–136.' ieee: P. Ehlert, O. Stübbe, and F.-J. Villmer, “Investigation on the Direct Manufacturing of Waveguides and Sensors Using FLM Technology,” in Production Engineering and Management, Pordenone, Italy, 2017, no. 1, pp. 127–136. mla: Ehlert, Patrick, et al. “Investigation on the Direct Manufacturing of Waveguides and Sensors Using FLM Technology.” Production Engineering and Management, edited by Elio Padoano et al., no. 1, 2017, pp. 127–36. short: 'P. Ehlert, O. Stübbe, F.-J. Villmer, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.), Production Engineering and Management, Lemgo, 2017, pp. 127–136.' ufg: 'Ehlert, Patrick/Stübbe, Oliver/Villmer, Franz-Josef: Investigation on the Direct Manufacturing of Waveguides and Sensors Using FLM Technology, in: Padoano, Elio u. a. (Hgg.): Production Engineering and Management, Lemgo 2017 (Publication series in direct digital manufacturing ),  S. 127–136.' van: 'Ehlert P, Stübbe O, Villmer FJ. Investigation on the Direct Manufacturing of Waveguides and Sensors Using FLM Technology. In: Padoano E, Villmer FJ, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, editors. Production Engineering and Management. Lemgo; 2017. p. 127–36. (Publication series in direct digital manufacturing ).' conference: end_date: 2017-09-29 location: Pordenone, Italy name: Proceedings7th International Conference start_date: 2017-09-28 corporate_editor: - Department of Production Engineering and Management - Hochschule Ostwestfalen-Lippe date_created: 2019-02-18T11:16:07Z date_updated: 2024-04-19T12:58:56Z department: - _id: DEP1306 - _id: DEP5020 - _id: DEP5000 - _id: DEP6020 editor: - first_name: Elio full_name: Padoano, Elio last_name: Padoano - first_name: Franz-Josef full_name: Villmer, Franz-Josef id: '14290' last_name: Villmer extern: '1' issue: '1' keyword: - Additive manufacturing - Embedded optical waveguides - Electrical conductors - Embedded systems - FLM technology - Sensors language: - iso: eng main_file_link: - open_access: '1' url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf oa: '1' page: 127-136 place: Lemgo publication: Production Engineering and Management publication_identifier: isbn: - 978-3-946856-01-6 publication_status: published quality_controlled: '1' related_material: link: - relation: contains url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf series_title: 'Publication series in direct digital manufacturing ' status: public title: Investigation on the Direct Manufacturing of Waveguides and Sensors Using FLM Technology type: conference user_id: '51864' year: '2017' ... --- _id: '574' abstract: - lang: eng text: The increasing industrial digitization is the driver for the fast emergence of many industrial smart products. To stay competitive, the manufacturing companies of these smart products need to optimize their internal lifecycleprocesses. Mainly, they have to converge the software and hardware lifecycleprocesses. However, even if this strategic necessity has been recognized, manufacturing companies struggle to develop and implement a roadmap of such convergence.Starting point for the realization of harmonized lifecycle processes are processmodels describing process activities and the underlying data models. This research addresses the latter one and aims to create a generic lifecycle data model. The research team created and evaluated such data model referring to development artifacts such as requirements, parts or test cases and to lifecycle artifacts such as revisions, versions and baselines. The generic lifecycle management model was evaluated by a practical development of a smart product. By this, the research provides a valuable result to maintain and increase the competitiveness of manufacturing companies. author: - first_name: Andreas full_name: Deuter, Andreas id: '62088' last_name: Deuter - first_name: Andreas full_name: Otte, Andreas id: '51466' last_name: Otte - first_name: Marcel full_name: Ebert, Marcel id: '52288' last_name: Ebert citation: ama: 'Deuter A, Otte A, Ebert M. Extending the Sliced V-Model to Smart Product Development. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, eds. Production Engineering and Management. Lemgo; 2017:115-125.' apa: Deuter, A., Otte, A., & Ebert, M. (2017). Extending the Sliced V-Model to Smart Product Development. In E. Padoano, F.-J. Villmer, & Department of Production Engineering and Management (Eds.), Production Engineering and Management (pp. 115–125). Lemgo. bjps: Deuter A, Otte A and Ebert M (2017) Extending the Sliced V-Model to Smart Product Development. In Padoano E, Villmer F-J and Department of Production Engineering and Management (eds), Production Engineering and Management. Lemgo, pp. 115–125. chicago: Deuter, Andreas, Andreas Otte, and Marcel Ebert. “Extending the Sliced V-Model to Smart Product Development.” In Production Engineering and Management, edited by Elio Padoano, Franz-Josef Villmer, and Department of Production Engineering and Management, 115–25. Lemgo, 2017. chicago-de: 'Deuter, Andreas, Andreas Otte und Marcel Ebert. 2017. Extending the Sliced V-Model to Smart Product Development. In: Production Engineering and Management, hg. von Elio Padoano, Franz-Josef Villmer, und Department of Production Engineering and Management, 115–125. Lemgo.' din1505-2-1: 'Deuter, Andreas ; Otte, Andreas ; Ebert, Marcel: Extending the Sliced V-Model to Smart Product Development. In: Padoano, E. ; Villmer, F.-J. ; Department of Production Engineering and Management (Hrsg.): Production Engineering and Management. Lemgo, 2017, S. 115–125' havard: 'A. Deuter, A. Otte, M. Ebert, Extending the Sliced V-Model to Smart Product Development, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2017: pp. 115–125.' ieee: A. Deuter, A. Otte, and M. Ebert, “Extending the Sliced V-Model to Smart Product Development,” in Production Engineering and Management, Pordenone, Italy, 2017, no. 1, pp. 115–125. mla: Deuter, Andreas, et al. “Extending the Sliced V-Model to Smart Product Development.” Production Engineering and Management, edited by Elio Padoano et al., no. 1, 2017, pp. 115–25. short: 'A. Deuter, A. Otte, M. Ebert, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2017, pp. 115–125.' ufg: 'Deuter, Andreas et. al. (2017): Extending the Sliced V-Model to Smart Product Development, in: Elio Padoano et. al. (Hgg.): Production Engineering and Management, Lemgo, S. 115–125.' van: 'Deuter A, Otte A, Ebert M. Extending the Sliced V-Model to Smart Product Development. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, editors. Production Engineering and Management. Lemgo; 2017. p. 115–25.' conference: end_date: 2017-09-29 location: Pordenone, Italy name: Proceedings 7th International Conference start_date: 2017-09-28 corporate_editor: - Department of Production Engineering and Management - Hochschule Ostwestfalen-Lippe date_created: 2019-02-18T11:34:36Z date_updated: 2023-03-15T13:50:01Z department: - _id: DEP1306 - _id: DEP7022 editor: - first_name: Elio full_name: Padoano, Elio last_name: Padoano - first_name: Franz-Josef full_name: Villmer, Franz-Josef last_name: Villmer issue: '1' keyword: - PLM - ALM - Systems Engineering - VDI guideline 2206 language: - iso: eng main_file_link: - open_access: '1' url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf oa: '1' page: 115-125 place: Lemgo publication: Production Engineering and Management publication_identifier: isbn: - 978-3-946856-01-6 publication_status: published related_material: link: - relation: contains url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf status: public title: Extending the Sliced V-Model to Smart Product Development type: conference user_id: '62088' year: 2017 ... --- _id: '575' abstract: - lang: eng text: Additive manufacturing technologies can provide cost and time advantages in mold making, compared to traditional approaches. Nevertheless, their applicability is not yet completely proven, especially in terms of surface finishing. The aim of this research work is to create perfect mold inserts by Selective Laser Melting (SLM) and to optimize surface quality. Therefore a process is developed to reduce the effort of surface quality optimization including a high flexibility in design. The tested process shows that simple and affordable methods can lead to usable molds with only minor restrictions in terms of appearance. Due to the initial reduction of layer thicknesses and distinct settings of laser melting parameters, the surface smoothness is significantly enhanced during the SLM building process. Subsequently blasting, manual grinding, as well as polishing operations, enable a selective smoothening of the surface up to a polished finish. As a result, the built tool parts can be used instantly for injection molding. author: - first_name: O. full_name: Elstermeyer, O. last_name: Elstermeyer - first_name: Franz-Josef full_name: Villmer, Franz-Josef id: '14290' last_name: Villmer citation: ama: 'Elstermeyer O, Villmer F-J. SLM Based Tooling for Injection Molding - Focus on Reduced Effort in Surface Quality Optimization. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, eds. Production Engineering and Management. Publication series in direct digital manufacturing . Lemgo; 2017:101-113.' apa: Elstermeyer, O., & Villmer, F.-J. (2017). SLM Based Tooling for Injection Molding - Focus on Reduced Effort in Surface Quality Optimization. In E. Padoano, F.-J. Villmer, & Department of Production Engineering and Management (Eds.), Production Engineering and Management (pp. 101–113). Lemgo. bjps: Elstermeyer O and Villmer F-J (2017) SLM Based Tooling for Injection Molding - Focus on Reduced Effort in Surface Quality Optimization. In Padoano E, Villmer F-J and Department of Production Engineering and Management (eds), Production Engineering and Management. Lemgo, pp. 101–113. chicago: Elstermeyer, O., and Franz-Josef Villmer. “SLM Based Tooling for Injection Molding - Focus on Reduced Effort in Surface Quality Optimization.” In Production Engineering and Management, edited by Elio Padoano, Franz-Josef Villmer, and Department of Production Engineering and Management, 101–13. Publication Series in Direct Digital Manufacturing . Lemgo, 2017. chicago-de: 'Elstermeyer, O. und Franz-Josef Villmer. 2017. SLM Based Tooling for Injection Molding - Focus on Reduced Effort in Surface Quality Optimization. In: Production Engineering and Management, hg. von Elio Padoano, Franz-Josef Villmer, und Department of Production Engineering and Management, 101–113. Publication series in direct digital manufacturing . Lemgo.' din1505-2-1: 'Elstermeyer, O. ; Villmer, Franz-Josef: SLM Based Tooling for Injection Molding - Focus on Reduced Effort in Surface Quality Optimization. In: Padoano, E. ; Villmer, F.-J. ; Department of Production Engineering and Management (Hrsg.): Production Engineering and Management, Publication series in direct digital manufacturing . Lemgo, 2017, S. 101–113' havard: 'O. Elstermeyer, F.-J. Villmer, SLM Based Tooling for Injection Molding - Focus on Reduced Effort in Surface Quality Optimization, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2017: pp. 101–113.' ieee: O. Elstermeyer and F.-J. Villmer, “SLM Based Tooling for Injection Molding - Focus on Reduced Effort in Surface Quality Optimization,” in Production Engineering and Management, Pordenone, Italy, 2017, no. 1, pp. 101–113. mla: Elstermeyer, O., and Franz-Josef Villmer. “SLM Based Tooling for Injection Molding - Focus on Reduced Effort in Surface Quality Optimization.” Production Engineering and Management, edited by Elio Padoano et al., no. 1, 2017, pp. 101–13. short: 'O. Elstermeyer, F.-J. Villmer, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2017, pp. 101–113.' ufg: 'Elstermeyer, O./Villmer, Franz-Josef (2017): SLM Based Tooling for Injection Molding - Focus on Reduced Effort in Surface Quality Optimization, in: Elio Padoano et. al. (Hgg.): Production Engineering and Management (=Publication series in direct digital manufacturing ), Lemgo, S. 101–113.' van: 'Elstermeyer O, Villmer F-J. SLM Based Tooling for Injection Molding - Focus on Reduced Effort in Surface Quality Optimization. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, editors. Production Engineering and Management. Lemgo; 2017. p. 101–13. (Publication series in direct digital manufacturing ).' conference: end_date: 2017-09-29 location: Pordenone, Italy name: Proceedings7th International Conference start_date: 2017-09-28 corporate_editor: - Department of Production Engineering and Management - Hochschule Ostwestfalen-Lippe date_created: 2019-02-18T11:16:07Z date_updated: 2023-03-15T13:50:01Z department: - _id: DEP1306 editor: - first_name: Elio full_name: Padoano, Elio last_name: Padoano - first_name: Franz-Josef full_name: Villmer, Franz-Josef last_name: Villmer issue: '1' keyword: - Tool making - Direct rapid tooling - Additively manufactured molds - Selective laser melting - Additive manufacturing process chain - Post-processing language: - iso: eng main_file_link: - open_access: '1' url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf oa: '1' page: 101-113 place: Lemgo publication: Production Engineering and Management publication_identifier: isbn: - 978-3-946856-01-6 publication_status: published related_material: link: - relation: contains url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf series_title: 'Publication series in direct digital manufacturing ' status: public title: SLM Based Tooling for Injection Molding - Focus on Reduced Effort in Surface Quality Optimization type: conference user_id: '45673' year: 2017 ... --- _id: '576' abstract: - lang: eng text: Due to a high level of competition in automotive industry, it is essentially important for automotive companies to develop innovative strategies and technologies in production and logistics. Postponement of production difference, i.e., customer individualized demand has been considered as an innovative strategy and more or less implemented in the production process, mostly before and during the final assembly. This paper proposed the concept of postponing the individualization of some components after the assembly. The idea is to use the idle times especially during the distribution process when vehicles are accumulated to generate big transportation batches or the follow-up transport does not start immediately. The individualization is carried out in specially realized workshops. Objectives of the approach are to reduce variations in the manufacturing, to shorten delivery times and to give consumers the ability to reorder individual components shortly before delivery. This kind of postponement of individualization induces the requirement of redesigning the logistics network, which means the selection of workshop locations and the new selection of the suppliers for the individualized components. To reach this aim, a software tool has been developed. In the tool, the data required in the logistics network such as suppliers and workshop potential locations are managed in a MySQL database and the optimization of the network is achieved by the especiallydeveloped non-dominated sorting genetic algorithm-II (NSGA-II). The design and development of the solution individuals and the fitness functions, which are the most important elements of a genetic algorithm, are based on the mathematical model of the logistics network design with product late individualization. Different scenarios are considered and generated to examine the applicability of the methodology in automotive practice. The optimization model and the heuristics of genetic algorithm are validated through the Pareto solutions for different scenarios. author: - first_name: Li full_name: Li, Li id: '58482' last_name: Li citation: ama: 'Li L. Optimization of Automotive Logistics Network with Late Product Individualization. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, eds. Production Engineering and Management. Publication series in direct digital manufacturing . Lemgo; 2017:139-150.' apa: Li, L. (2017). Optimization of Automotive Logistics Network with Late Product Individualization. In E. Padoano, F.-J. Villmer, & Department of Production Engineering and Management (Eds.), Production Engineering and Management (pp. 139–150). Lemgo. bjps: Li L (2017) Optimization of Automotive Logistics Network with Late Product Individualization. In Padoano E, Villmer F-J and Department of Production Engineering and Management (eds), Production Engineering and Management. Lemgo, pp. 139–150. chicago: Li, Li. “Optimization of Automotive Logistics Network with Late Product Individualization.” In Production Engineering and Management, edited by Elio Padoano, Franz-Josef Villmer, and Department of Production Engineering and Management, 139–50. Publication Series in Direct Digital Manufacturing . Lemgo, 2017. chicago-de: 'Li, Li. 2017. Optimization of Automotive Logistics Network with Late Product Individualization. In: Production Engineering and Management, hg. von Elio Padoano, Franz-Josef Villmer, und Department of Production Engineering and Management, 139–150. Publication series in direct digital manufacturing . Lemgo.' din1505-2-1: 'Li, Li: Optimization of Automotive Logistics Network with Late Product Individualization. In: Padoano, E. ; Villmer, F.-J. ; Department of Production Engineering and Management (Hrsg.): Production Engineering and Management, Publication series in direct digital manufacturing . Lemgo, 2017, S. 139–150' havard: 'L. Li, Optimization of Automotive Logistics Network with Late Product Individualization, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2017: pp. 139–150.' ieee: L. Li, “Optimization of Automotive Logistics Network with Late Product Individualization,” in Production Engineering and Management, Pordenone, Italy, 2017, no. 1, pp. 139–150. mla: Li, Li. “Optimization of Automotive Logistics Network with Late Product Individualization.” Production Engineering and Management, edited by Elio Padoano et al., no. 1, 2017, pp. 139–50. short: 'L. Li, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2017, pp. 139–150.' ufg: 'Li, Li (2017): Optimization of Automotive Logistics Network with Late Product Individualization, in: Elio Padoano et. al. (Hgg.): Production Engineering and Management (=Publication series in direct digital manufacturing ), Lemgo, S. 139–150.' van: 'Li L. Optimization of Automotive Logistics Network with Late Product Individualization. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, editors. Production Engineering and Management. Lemgo; 2017. p. 139–50. (Publication series in direct digital manufacturing ).' conference: end_date: 2017-09-29 location: Pordenone, Italy name: Proceedings7th International Conference start_date: 2017-09-28 corporate_editor: - Department of Production Engineering and Management - Hochschule Ostwestfalen-Lippe date_created: 2019-02-18T11:16:07Z date_updated: 2023-03-15T13:50:01Z department: - _id: DEP7000 - _id: DEP1306 editor: - first_name: Elio full_name: Padoano, Elio last_name: Padoano - first_name: Franz-Josef full_name: Villmer, Franz-Josef last_name: Villmer issue: '1' keyword: - Automotive industry - Logistics network configuration - Late product individualization - Postponement - NSGGA language: - iso: eng main_file_link: - open_access: '1' url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf oa: '1' page: 139-150 place: Lemgo publication: Production Engineering and Management publication_identifier: isbn: - 978-3-946856-01-6 publication_status: published related_material: link: - relation: contains url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf series_title: 'Publication series in direct digital manufacturing ' status: public title: Optimization of Automotive Logistics Network with Late Product Individualization type: conference user_id: '45673' year: 2017 ... --- _id: '577' abstract: - lang: eng text: A rising number of product variants together with decreasing lot sizes are a result of the trend of individualization. Besides the upcoming organizational issues, changes in the production technologies are required. Direct digital manufacturing contributes to solve this problem by enabling the production of parts right from the CAD data.Process capability analysis is applied in several industries to prove the reliable compliance of products with quality requirements. As it is based on statistical methods, new challenges arise in the context of single-part production.The paper describes and compares different approaches for the adoption of process capability analysis for single-part production with special focus on additive manufacturing technologies. The statistical background and the applicability of different capability parameters are discussed. An overview of existing research work is given and supplemented by own approaches for the adoption of statistical methods for single-part production. The aim of the research work is to establish a first approach for the qualification of new technologies in single-part production. author: - first_name: Andrea full_name: Huxol, Andrea id: '43559' last_name: Huxol - first_name: Andrea full_name: Davis, Andrea id: '68611' last_name: Davis - first_name: Franz-Josef full_name: Villmer, Franz-Josef id: '14290' last_name: Villmer - first_name: Eva full_name: Scheideler, Eva id: '61522' last_name: Scheideler citation: ama: 'Huxol A, Davis A, Villmer F-J, Scheideler E. Deployment of Process Capability Analysis for Single-Part Production. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, eds. Production Engineering and Management. Publication series in direct digital manufacturing . Lemgo; 2017:63-74.' apa: Huxol, A., Davis, A., Villmer, F.-J., & Scheideler, E. (2017). Deployment of Process Capability Analysis for Single-Part Production. In E. Padoano, F.-J. Villmer, & Department of Production Engineering and Management (Eds.), Production Engineering and Management (pp. 63–74). Lemgo. bjps: Huxol A et al. (2017) Deployment of Process Capability Analysis for Single-Part Production. In Padoano E, Villmer F-J and Department of Production Engineering and Management (eds), Production Engineering and Management. Lemgo, pp. 63–74. chicago: Huxol, Andrea, Andrea Davis, Franz-Josef Villmer, and Eva Scheideler. “Deployment of Process Capability Analysis for Single-Part Production.” In Production Engineering and Management, edited by Elio Padoano, Franz-Josef Villmer, and Department of Production Engineering and Management, 63–74. Publication Series in Direct Digital Manufacturing . Lemgo, 2017. chicago-de: 'Huxol, Andrea, Andrea Davis, Franz-Josef Villmer und Eva Scheideler. 2017. Deployment of Process Capability Analysis for Single-Part Production. In: Production Engineering and Management, hg. von Elio Padoano, Franz-Josef Villmer, und Department of Production Engineering and Management, 63–74. Publication series in direct digital manufacturing . Lemgo.' din1505-2-1: 'Huxol, Andrea ; Davis, Andrea ; Villmer, Franz-Josef ; Scheideler, Eva: Deployment of Process Capability Analysis for Single-Part Production. In: Padoano, E. ; Villmer, F.-J. ; Department of Production Engineering and Management (Hrsg.): Production Engineering and Management, Publication series in direct digital manufacturing . Lemgo, 2017, S. 63–74' havard: 'A. Huxol, A. Davis, F.-J. Villmer, E. Scheideler, Deployment of Process Capability Analysis for Single-Part Production, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2017: pp. 63–74.' ieee: A. Huxol, A. Davis, F.-J. Villmer, and E. Scheideler, “Deployment of Process Capability Analysis for Single-Part Production,” in Production Engineering and Management, Pordenone, Italy, 2017, no. 1, pp. 63–74. mla: Huxol, Andrea, et al. “Deployment of Process Capability Analysis for Single-Part Production.” Production Engineering and Management, edited by Elio Padoano et al., no. 1, 2017, pp. 63–74. short: 'A. Huxol, A. Davis, F.-J. Villmer, E. Scheideler, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2017, pp. 63–74.' ufg: 'Huxol, Andrea et. al. (2017): Deployment of Process Capability Analysis for Single-Part Production, in: Elio Padoano et. al. (Hgg.): Production Engineering and Management (=Publication series in direct digital manufacturing ), Lemgo, S. 63–74.' van: 'Huxol A, Davis A, Villmer F-J, Scheideler E. Deployment of Process Capability Analysis for Single-Part Production. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, editors. Production Engineering and Management. Lemgo; 2017. p. 63–74. (Publication series in direct digital manufacturing ).' conference: end_date: 2017-09-29 location: Pordenone, Italy name: Proceedings7th International Conference start_date: 2017-09-28 corporate_editor: - Department of Production Engineering and Management - Hochschule Ostwestfalen-Lippe date_created: 2019-02-18T11:16:07Z date_updated: 2023-03-15T13:50:01Z department: - _id: DEP1306 editor: - first_name: Elio full_name: Padoano, Elio last_name: Padoano - first_name: Franz-Josef full_name: Villmer, Franz-Josef last_name: Villmer issue: '1' keyword: - Statistical process control - Process capability analysis - Single-part production - Process optimization language: - iso: eng main_file_link: - open_access: '1' url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf oa: '1' page: 63-74 place: Lemgo publication: Production Engineering and Management publication_identifier: isbn: - 978-3-946856-01-6 publication_status: published related_material: link: - relation: contains url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf series_title: 'Publication series in direct digital manufacturing ' status: public title: Deployment of Process Capability Analysis for Single-Part Production type: conference user_id: '45673' year: 2017 ... --- _id: '578' abstract: - lang: eng text: Challenges of companies are presented by an increasing number of product variants or a growing product complexity in combination with a reduction of lot size. Therefore the scope of the work in the field of manual assembly will be more complex. This situation leads to a need of assistance systems. With these systems, the assembly workers will be qualified to execute their work tasks within the requirements. This approach set up on a further implementation of an assistance system at a great device manufacturer. The main focus of this implementation was the technical and functional design of the assistance system, but a successful implementation requires also an active handling of the change process. The purpose of this paper is the presentation of design principles in form of a process model for the implementation of digital assistance systems. The development of the design principles takes place in a participative approach. Executives, work councilsand workers develop the project results together with external project members. Project managers will be able to manage implementation processes with the results and take all the success factors into account. author: - first_name: Tim full_name: Kleineberg, Tim id: '65024' last_name: Kleineberg - first_name: Matthias full_name: Eichelberg, Matthias id: '60217' last_name: Eichelberg - first_name: Sven full_name: Hinrichsen, Sven id: '49010' last_name: Hinrichsen citation: ama: 'Kleineberg T, Eichelberg M, Hinrichsen S. Participative Development of an Implementation Process for Worker Assistance Systems. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, eds. Production Engineering and Management. Lemgo; 2017:25-36.' apa: Kleineberg, T., Eichelberg, M., & Hinrichsen, S. (2017). Participative Development of an Implementation Process for Worker Assistance Systems. In E. Padoano, F.-J. Villmer, & Department of Production Engineering and Management (Eds.), Production Engineering and Management (pp. 25–36). Lemgo. bjps: Kleineberg T, Eichelberg M and Hinrichsen S (2017) Participative Development of an Implementation Process for Worker Assistance Systems. In Padoano E, Villmer F-J and Department of Production Engineering and Management (eds), Production Engineering and Management. Lemgo, pp. 25–36. chicago: Kleineberg, Tim, Matthias Eichelberg, and Sven Hinrichsen. “Participative Development of an Implementation Process for Worker Assistance Systems.” In Production Engineering and Management, edited by Elio Padoano, Franz-Josef Villmer, and Department of Production Engineering and Management, 25–36. Lemgo, 2017. chicago-de: 'Kleineberg, Tim, Matthias Eichelberg und Sven Hinrichsen. 2017. Participative Development of an Implementation Process for Worker Assistance Systems. In: Production Engineering and Management, hg. von Elio Padoano, Franz-Josef Villmer, und Department of Production Engineering and Management, 25–36. Lemgo.' din1505-2-1: 'Kleineberg, Tim ; Eichelberg, Matthias ; Hinrichsen, Sven: Participative Development of an Implementation Process for Worker Assistance Systems. In: Padoano, E. ; Villmer, F.-J. ; Department of Production Engineering and Management (Hrsg.): Production Engineering and Management. Lemgo, 2017, S. 25–36' havard: 'T. Kleineberg, M. Eichelberg, S. Hinrichsen, Participative Development of an Implementation Process for Worker Assistance Systems, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2017: pp. 25–36.' ieee: T. Kleineberg, M. Eichelberg, and S. Hinrichsen, “Participative Development of an Implementation Process for Worker Assistance Systems,” in Production Engineering and Management, Pordenone, Italy, 2017, no. 1, pp. 25–36. mla: Kleineberg, Tim, et al. “Participative Development of an Implementation Process for Worker Assistance Systems.” Production Engineering and Management, edited by Elio Padoano et al., no. 1, 2017, pp. 25–36. short: 'T. Kleineberg, M. Eichelberg, S. Hinrichsen, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2017, pp. 25–36.' ufg: 'Kleineberg, Tim et. al. (2017): Participative Development of an Implementation Process for Worker Assistance Systems, in: Elio Padoano et. al. (Hgg.): Production Engineering and Management, Lemgo, S. 25–36.' van: 'Kleineberg T, Eichelberg M, Hinrichsen S. Participative Development of an Implementation Process for Worker Assistance Systems. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, editors. Production Engineering and Management. Lemgo; 2017. p. 25–36.' conference: end_date: 2017-09-29 location: Pordenone, Italy name: Proceedings 7th International Conference start_date: 2017-09-28 corporate_editor: - Department of Production Engineering and Management - Hochschule Ostwestfalen-Lippe date_created: 2019-02-18T11:34:36Z date_updated: 2023-03-15T13:50:01Z department: - _id: DEP1306 - _id: DEP7020 - _id: DEP1305 editor: - first_name: Elio full_name: Padoano, Elio last_name: Padoano - first_name: Franz-Josef full_name: Villmer, Franz-Josef last_name: Villmer issue: '1' keyword: - Assistance systems - Change management - Success factors - Process model language: - iso: eng main_file_link: - open_access: '1' url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf oa: '1' page: 25-36 place: Lemgo publication: Production Engineering and Management publication_identifier: isbn: - 978-3-946856-01-6 publication_status: published quality_controlled: '1' status: public title: Participative Development of an Implementation Process for Worker Assistance Systems type: conference user_id: '49010' year: 2017 ... --- _id: '579' abstract: - lang: eng text: Selective Laser Melting (SLM) is a powder bed fusion process to produce additively metal parts. From the current point of view, it seems to be one of the most promising additive manufacturing technologies for the production of end use parts. An increasing number of examples prove the successful application of SLM for technical part production. Nevertheless, they also show the enormous effort that is still required to qualify the production process of every single part individually.The present paper gives an overview of the major influencing factors of the SLM process. To get a comprehensive research approach, existing publications on the topic are taken into account as well as own experimental work, evaluating the effects of the process parameters on the relative density of samples made from tool steel. The experimental setup and the results are described and opportunities for the further research work are discussed. author: - first_name: Andrea full_name: Huxol, Andrea id: '43559' last_name: Huxol - first_name: Eva full_name: Scheideler, Eva id: '61522' last_name: Scheideler - first_name: Franz-Josef full_name: Villmer, Franz-Josef id: '14290' last_name: Villmer citation: ama: 'Huxol A, Scheideler E, Villmer F-J. Influencing Factors on Part Quality in Selective Laser Melting. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, eds. Production Engineering and Management. Lemgo; 2017:13-34.' apa: Huxol, A., Scheideler, E., & Villmer, F.-J. (2017). Influencing Factors on Part Quality in Selective Laser Melting. In E. Padoano, F.-J. Villmer, & Department of Production Engineering and Management (Eds.), Production Engineering and Management (pp. 13–34). Lemgo. bjps: Huxol A, Scheideler E and Villmer F-J (2017) Influencing Factors on Part Quality in Selective Laser Melting. In Padoano E, Villmer F-J and Department of Production Engineering and Management (eds), Production Engineering and Management. Lemgo, pp. 13–34. chicago: Huxol, Andrea, Eva Scheideler, and Franz-Josef Villmer. “Influencing Factors on Part Quality in Selective Laser Melting.” In Production Engineering and Management, edited by Elio Padoano, Franz-Josef Villmer, and Department of Production Engineering and Management, 13–34. Lemgo, 2017. chicago-de: 'Huxol, Andrea, Eva Scheideler und Franz-Josef Villmer. 2017. Influencing Factors on Part Quality in Selective Laser Melting. In: Production Engineering and Management, hg. von Elio Padoano, Franz-Josef Villmer, und Department of Production Engineering and Management, 13–34. Lemgo.' din1505-2-1: 'Huxol, Andrea ; Scheideler, Eva ; Villmer, Franz-Josef: Influencing Factors on Part Quality in Selective Laser Melting. In: Padoano, E. ; Villmer, F.-J. ; Department of Production Engineering and Management (Hrsg.): Production Engineering and Management. Lemgo, 2017, S. 13–34' havard: 'A. Huxol, E. Scheideler, F.-J. Villmer, Influencing Factors on Part Quality in Selective Laser Melting, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2017: pp. 13–34.' ieee: A. Huxol, E. Scheideler, and F.-J. Villmer, “Influencing Factors on Part Quality in Selective Laser Melting,” in Production Engineering and Management, Pordenone, Italy, 2017, no. 1, pp. 13–34. mla: Huxol, Andrea, et al. “Influencing Factors on Part Quality in Selective Laser Melting.” Production Engineering and Management, edited by Elio Padoano et al., no. 1, 2017, pp. 13–34. short: 'A. Huxol, E. Scheideler, F.-J. Villmer, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2017, pp. 13–34.' ufg: 'Huxol, Andrea et. al. (2017): Influencing Factors on Part Quality in Selective Laser Melting, in: Elio Padoano et. al. (Hgg.): Production Engineering and Management, Lemgo, S. 13–34.' van: 'Huxol A, Scheideler E, Villmer F-J. Influencing Factors on Part Quality in Selective Laser Melting. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, editors. Production Engineering and Management. Lemgo; 2017. p. 13–34.' conference: end_date: 2017-09-29 location: Pordenone, Italy name: Proceedings 7th International Conference start_date: 2017-09-28 corporate_editor: - Department of Production Engineering and Management - Hochschule Ostwestfalen-Lippe date_created: 2019-02-18T11:34:36Z date_updated: 2023-03-15T13:50:02Z department: - _id: DEP1306 editor: - first_name: Elio full_name: Padoano, Elio last_name: Padoano - first_name: Franz-Josef full_name: Villmer, Franz-Josef last_name: Villmer issue: '1' keyword: - Selective laser melting - Additive manufacturing - Process parameters - Process optimization language: - iso: eng main_file_link: - open_access: '1' url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf oa: '1' page: 13-34 place: Lemgo publication: Production Engineering and Management publication_identifier: isbn: - 978-3-946856-01-6 publication_status: published related_material: link: - relation: contains url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf status: public title: Influencing Factors on Part Quality in Selective Laser Melting type: conference user_id: '45673' year: 2017 ... --- _id: '580' abstract: - lang: eng text: Additive Manufacturing (AM) is increasingly used to design new products. This is possible due to the further development of the AM-processes and materials. The lack of quality assurance of AM built parts is a key technological barrier that prevents manufacturers from adopting. The quality of an additive manufactured part is influenced by more than 50 parameters, which make process control difficult. Current research deals with using real time monitoring of the melt pool as feedback control for laser power. This paper illustrates challenges and opportunities of applying statistical predictive modeling and unsupervised learning to control additive manufacturing. In particular, an approach how to build a feedforward controller will be discussed. author: - first_name: Eva full_name: Scheideler, Eva id: '61522' last_name: Scheideler - first_name: Andrea full_name: Ahlemeyer-Stubbe, Andrea last_name: Ahlemeyer-Stubbe citation: ama: 'Scheideler E, Ahlemeyer-Stubbe A. Quality Control of Additive Manufacturing Using Statistical Prediction Models. In: Padoano E, Villmer FJ, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, eds.   Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy . Vol 2017.   Publication series in direct digital manufacturing . ; 2017:3-12.' apa: 'Scheideler, E., & Ahlemeyer-Stubbe, A. (2017). Quality Control of Additive Manufacturing Using Statistical Prediction Models. In E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, & Hochschule Ostwestfalen-Lippe (Eds.),   Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy (Vol. 2017, Issue 1, pp. 3–12).' bjps: 'Scheideler E and Ahlemeyer-Stubbe A (2017) Quality Control of Additive Manufacturing Using Statistical Prediction Models. In Padoano E et al. (eds),   Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy , vol. 2017. Lemgo, pp. 3–12.' chicago: 'Scheideler, Eva, and Andrea Ahlemeyer-Stubbe. “Quality Control of Additive Manufacturing Using Statistical Prediction Models.” In   Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy , edited by Elio Padoano, Franz-Josef Villmer, Department of Production Engineering and Management, and Hochschule Ostwestfalen-Lippe, 2017:3–12.   Publication Series in Direct Digital Manufacturing . Lemgo, 2017.' chicago-de: 'Scheideler, Eva und Andrea Ahlemeyer-Stubbe. 2017. Quality Control of Additive Manufacturing Using Statistical Prediction Models. In:   Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy , hg. von Elio Padoano, Franz-Josef Villmer, Department of Production Engineering and Management, und Hochschule Ostwestfalen-Lippe, 2017:3–12.   Publication series in direct digital manufacturing . Lemgo.' din1505-2-1: 'Scheideler, Eva ; Ahlemeyer-Stubbe, Andrea: Quality Control of Additive Manufacturing Using Statistical Prediction Models. In: Padoano, E. ; Villmer, F.-J. ; Department of Production Engineering and Management ; Hochschule Ostwestfalen-Lippe (Hrsg.):   Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy ,   Publication series in direct digital manufacturing . Bd. 2017. Lemgo, 2017, S. 3–12' havard: 'E. Scheideler, A. Ahlemeyer-Stubbe, Quality Control of Additive Manufacturing Using Statistical Prediction Models, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.),   Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy , Lemgo, 2017: pp. 3–12.' ieee: 'E. Scheideler and A. Ahlemeyer-Stubbe, “Quality Control of Additive Manufacturing Using Statistical Prediction Models,” in   Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy , Pordenone, Italy, 2017, vol. 2017, no. 1, pp. 3–12.' mla: 'Scheideler, Eva, and Andrea Ahlemeyer-Stubbe. “Quality Control of Additive Manufacturing Using Statistical Prediction Models.”   Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy , edited by Elio Padoano et al., vol. 2017, no. 1, 2017, pp. 3–12.' short: 'E. Scheideler, A. Ahlemeyer-Stubbe, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.),   Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy , Lemgo, 2017, pp. 3–12.' ufg: 'Scheideler, Eva/Ahlemeyer-Stubbe, Andrea: Quality Control of Additive Manufacturing Using Statistical Prediction Models, in: Padoano, Elio u. a. (Hgg.):   Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy , Bd. 2017, Lemgo 2017 (  Publication series in direct digital manufacturing ),  S. 3–12.' van: 'Scheideler E, Ahlemeyer-Stubbe A. Quality Control of Additive Manufacturing Using Statistical Prediction Models. In: Padoano E, Villmer FJ, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, editors.   Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy . Lemgo; 2017. p. 3–12. (  Publication series in direct digital manufacturing ; vol. 2017).' conference: end_date: 2017-09-29 location: Pordenone, Italy name: 7th International Conference on Production Engineering and Management start_date: 2017-09-28 corporate_editor: - Department of Production Engineering and Management - Hochschule Ostwestfalen-Lippe date_created: 2019-02-18T11:34:36Z date_updated: 2024-03-22T13:19:02Z department: - _id: DEP1306 editor: - first_name: Elio full_name: Padoano, Elio last_name: Padoano - first_name: Franz-Josef full_name: Villmer, Franz-Josef id: '14290' last_name: Villmer intvolume: ' 2017' issue: '1' keyword: - Additive manufacturing - Process control - Predictive modeling - Predictive control language: - iso: eng main_file_link: - open_access: '1' url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf oa: '1' page: 3-12 place: Lemgo publication: "\t Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy " publication_identifier: isbn: - 978-3-946856-01-6 publication_status: published related_material: link: - relation: contains url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf series_title: "\t Publication series in direct digital manufacturing " status: public title: Quality Control of Additive Manufacturing Using Statistical Prediction Models type: conference user_id: '83781' volume: 2017 year: '2017' ... --- _id: '309' abstract: - lang: eng text: "It is our pleasure to introduce the seventh edition of the International Conference on Production Engineering and Management (PEM), an event that is the result of the joint effort of the University of Trieste and the Ostwestfalen-\r\nLippe University of Applied Sciences. The conference has been established as an annual meeting under the Double Degree Master Program “Production Engineering and Management” by the two partner universities. This year the conference is hosted at the university campus in Pordenone. The main goal of the conference is to offer students, researchers and professionals in Germany, Italy and abroad, an opportunity to meet and exchange information, discuss experience, specific practices and technical solutions for planning, design and management of manufacturing and service systems and processes. As always, the conference is a platform aimed at presenting research projects, introducing young academics to the tradition of symposiums and promoting the exchange of ideas between the industry and the academy. This year’s special focus is on industry sustainability, which is currently a major topic of discussion among experts and professionals. Sustainability can be considered as a requirement for any modern production processes and systems, and also has to be embedded in the context of Industry 4.0. In fact, the features and problems of industry 4.0 have been widely discussed in the last editions of the PEM conference, in which efficiency and waste reduction emerged as key factors. The study and development of the connections between future industry and sustainability is therefore critical, as highlighted in the recent “German Sustainable Development Strategy and the 2030 Agenda”. Accordingly, the seventh edition of the PEM conference aims to offer a contribution to the debate. The conference program includes 25 speeches organized in six sessions. Three are specifically dedicated to “Direct Digital Manufacturing in the context of Industry 4.0” and “Technology and Business for Circular Economy and Sustainable Production”. The other sessions are covering areas of great interest and importance to the participants of the conference, which are related to the main focus: “Innovative Management Techniques and Methodologies”, “Industrial Engineering and Lean Management” and “Wood Processing Technologies and Furniture Production”. The proceedings of the conference include the articles submitted and accepted after a careful double-blind refereeing process." citation: ama: Padoano E, Villmer F-J, Department of Production Engineering and Management, eds. Production Engineering and Management. Lemgo; 2017:248. apa: Padoano, E., Villmer, F.-J., & Department of Production Engineering and Management (Eds.). (2017). Production Engineering and Management (p. 248). Presented at the 7th International Conference, Lemgo. bjps: Padoano E, Villmer F-J and Department of Production Engineering and Management (eds) (2017) Production Engineering and Management. Lemgo. chicago: Padoano, Elio, Franz-Josef Villmer, and Department of Production Engineering and Management, eds. Production Engineering and Management. Schriftenreihe Logistik. Lemgo, 2017. chicago-de: Padoano, Elio, Franz-Josef Villmer und Department of Production Engineering and Management, Hrsg. 2017. Production Engineering and Management. Schriftenreihe Logistik. Lemgo. din1505-2-1: 'Padoano, E. ; Villmer, F.-J. ; Department of Production Engineering and Management (Hrsg.): Production Engineering and Management, Schriftenreihe Logistik. Lemgo, 2017' havard: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, eds., Production Engineering and Management, Lemgo, 2017. ieee: E. Padoano, F.-J. Villmer, and Department of Production Engineering and Management, Eds., Production Engineering and Management, no. . Lemgo, 2017, p. 248. mla: Padoano, Elio, et al., editors. Production Engineering and Management. no. ., 2017, p. 248. short: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, eds., Production Engineering and Management, Lemgo, 2017. ufg: 'Padoano, Elio et. al. (Hgg.) (2017): Production Engineering and Management (=Schriftenreihe Logistik), Lemgo.' van: Padoano E, Villmer F-J, Department of Production Engineering and Management, editors. Production Engineering and Management. Lemgo; 2017. (Schriftenreihe Logistik). conference: end_date: 2017-09-29 location: Pardenone, Italy name: 7th International Conference start_date: 2017-09-28 corporate_editor: - Department of Production Engineering and Management - Hochschule Ostwestfalen-Lippe date_created: 2018-12-04T16:24:04Z date_updated: 2023-03-15T13:49:44Z ddc: - '650' department: - _id: DEP1306 editor: - first_name: Elio full_name: Padoano, Elio last_name: Padoano - first_name: Franz-Josef full_name: Villmer, Franz-Josef id: '14290' last_name: Villmer file: - access_level: open_access content_type: application/pdf creator: hka-zn8 date_created: 2018-12-04T16:21:07Z date_updated: 2018-12-04T16:21:07Z file_id: '310' file_name: PEM_2017_Proceeding_web.pdf file_size: 7437227 relation: main_file success: 1 file_date_updated: 2018-12-04T16:21:07Z has_accepted_license: '1' issue: . language: - iso: eng oa: '1' page: '248' place: Lemgo publication_identifier: isbn: - 978-3-946856-01-6 publication_status: published series_title: Schriftenreihe Logistik status: public title: Production Engineering and Management type: conference_editor user_id: '68554' year: 2017 ...