@misc{10010, abstract = {{During product development, the customer or internal stakeholders initiate changes concerning the components or functions of a cyber-physical system (CPS). The complexity of such a CPS causes difficulties in evaluating the effects of a component change. Accordingly, product developers need an assistance system to quantify the impact of a component change on hardware, software, system functions, and production processes. Therefore, this paper focuses on concepts to evaluate the effects of component, functional, and process changes and contributes to its clarification and further understanding of the importance and requirements for such an assistance system. The literature review assesses the identified methods regarding their objectives, application objects, level of automation, and relations characteristics. However, the literature review pointed out that the change prediction method from Clarkson et al. (2004) is well-established in the literature and able to quantify the impact of a change.}}, author = {{Mordaschew, Viktoria and Herrmann, Jan-Phillip and Tackenberg, Sven}}, booktitle = {{Proceedings of the International Conference onEngineering Design (ICED23)}}, issn = {{2732-527X }}, keywords = {{Product Lifecycle Management (PLM), Change Impact, Complexity, Uncertainty}}, location = {{Bordeaux, Frankreich}}, pages = {{2655--2664}}, publisher = {{Cambridge University Press}}, title = {{{METHODS OF CHANGE IMPACT ANALYSIS FOR PRODUCT DEVELOPMENT: A SYSTEMATIC REVIEW OF THE LITERATURE}}}, doi = {{https://doi.org/10.1017/pds.2023.266 }}, year = {{2023}}, } @misc{12794, abstract = {{Modern product development utilizes both Product Lifecycle Management (PLM) and Application Lifecycle Management (ALM). PLM addresses the hardware lifecycle of a product, whereas ALM addresses the software lifecycle. In recent years, industry and academia have developed several PLM/ALM integration concepts to realize efficient management of the product lifecycle across all domains. However, the solutions available in practice are typically vendor-driven. Therefore, they are not generally applicable even if standards such as OSLC (Open Services for Lifecycle Cooperation) are applied. The consortium "Plattform Industrie 4.0" has recently introduced a standardized digital representation of an asset (e.g., a smart product): the Asset Administration Shell (AAS). The AAS has the potential to integrate PLM/ALM data sets in a single product model and hence to provide a generally applicable interface for PLM/ALM integration. However, until now there has not been a concept to prove this potential. The aim of this work is to develop such new strategies (named Plm4AAS) using AAS submodels. This article explains the semi-automatic generation of PLM/ALM submodels and how to link elements between these submodels. The AASX Package Explorer, an AAS management software tool, is used to demonstrate the results. The article finishes with a discussion about the potential of the AAS as a standardized concept for PLM/ALM integration. (C) 2020 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 5th International Conference on System-Integrated Intelligence.}}, author = {{Deuter, Andreas and Imort, Sebastian}}, booktitle = {{System-Integrated Intelligence - Intelligent, Flexible and Connected Systems in Products and Production : Proceedings of the 5th International Conference on System-Integrated Intelligence (SysInt 2020), Bremen, Germany (}}, editor = {{Thoben, Klaus-Dieter and Dekena, Berend and Lang, Walter and Trächtler, Ansgar}}, issn = {{2351-9789}}, keywords = {{PLM, ALM, ReqIF, PLM XML, OSLC, Asset Administration Shell}}, location = {{Online}}, pages = {{234--240}}, publisher = {{Elsevier BV}}, title = {{{PLM/ALM Integration With The Asset Administration Shell}}}, doi = {{10.1016/j.promfg.2020.11.040}}, volume = {{52}}, year = {{2020}}, } @inproceedings{551, abstract = {{Companies that use product lifecycle management (PLM) systems need to configure them individually. Such configuration is considered as a software development process. This article demonstrates how the software development process for PLM configuration can be improved by applying applicationlifecycle management (ALM) concepts. This paper explains how such a conceptdesigncan be created and implemented. The concept was evaluated in a real industrial case study. By this, it provides valuable insights useablefor any company, facing similar challenges as depicted in this paper.}}, author = {{Heister, Martin and Deuter, Andreas and Schrader, B.}}, booktitle = {{Production Engineering and Management}}, editor = {{Villmer, Franz-Josef and Padoano, Elio}}, isbn = {{978-3-946856-03-0}}, keywords = {{PLM, ALM, Software engineering, V-model, Scrum}}, location = {{Lemgo}}, number = {{1}}, pages = {{31--41}}, title = {{{Design of an ALM-Based Process for Configuring PLM Systems}}}, year = {{2018}}, } @inproceedings{574, abstract = {{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 = {{Deuter, Andreas and Otte, Andreas and Ebert, Marcel}}, booktitle = {{Production Engineering and Management}}, editor = {{Padoano, Elio and Villmer, Franz-Josef}}, isbn = {{978-3-946856-01-6}}, keywords = {{PLM, ALM, Systems Engineering, VDI guideline 2206}}, location = {{Pordenone, Italy}}, number = {{1}}, pages = {{115--125}}, title = {{{Extending the Sliced V-Model to Smart Product Development}}}, year = {{2017}}, } @misc{7790, author = {{Deuter, Andreas and Rizzo, Stefano}}, booktitle = {{Procedia Technology}}, issn = {{2212-0173}}, keywords = {{PLM, ALM, OSLC}}, pages = {{405--412}}, publisher = {{ Elsevier}}, title = {{{A Critical View on PLM/ALM Convergence in Practice and Research}}}, doi = {{10.1016/j.protcy.2016.08.052}}, volume = {{26}}, year = {{2016}}, } @inproceedings{587, abstract = {{Development engineers are most valued for their excellence in physical product development, but on the flipside, project managers face problems when trying to fit them into effectively running development processes. Because of the advantages of Lean Management in production (Lean Production), process managers often try to transfer lean principles directly to development processes, not considering that major differences exist between well-described production processes and new product development processes which include much more uncertainty and risk. Nevertheless, several lean principals are applicable in product development. This paper describes five lean development insights (LDIs) which were found when optimizing an entire product realization process. Lean principles have been examined and then translated to collaboration between product development and tool manufacturing at a globally operating German family-run company. These LDIs are meant to help project and process managers, consultants and developers to rethink their ways of organizing product development. The application of these insights will result in increased transparency, intensified collaboration, improved processes and quality, shortened lead times, and also eliminate waste.}}, author = {{Riediger, M. and Villmer, Franz-Josef}}, booktitle = {{Production Engineering and Management}}, editor = {{Villmer, Franz-Josef and Padoano, Elio}}, isbn = {{978-3-946856-00-9}}, keywords = {{Lean development, Collaboration, Agile, PLM, Frontloading, Simultaneous engineering}}, location = {{Lemgo}}, number = {{1}}, pages = {{111--122}}, title = {{{Five Insights in Effectively Managing Product Development}}}, year = {{2016}}, }