[{"editor":[{"last_name":"Longo","full_name":"Longo, F.","first_name":"F."},{"full_name":"Shen, W.","last_name":"Shen","first_name":"W."},{"last_name":"Padovano","full_name":"Padovano, A.","first_name":"A."}],"abstract":[{"lang":"eng","text":"Autonomous Mobile Robots, as the advanced version of Automated Guided Vehicles have received a lot of interest and recognition in recent years. Simultaneous Localization and Mapping (SLAM) techniques enable the vehicles to independently navigate and map their surroundings so that they can drive autonomously in changing and uncharted areas. Due to the increasing importance and contributive development of SLAMs for automated guided vehicles and autonomous mobile robots, this study seeks to provide an in-depth analysis of well-known SLAM techniques developed and applied during the previous ten years. Well-known SLAM algorithms considered in this paper include GMapping, Cartographer, LIO-SAM, and so on. They are mainly examined and compared from the viewpoints of basic principles, sensor requirements, computing complexity, and performance. The aim of this paper is to offer insights into various SLAM approaches to researchers, practitioners, and developers in the field of automated guided vehicles and autonomous mobile robots, facilitating the selection of suitable SLAM methods for specific applications and fostering innovation in autonomous navigation and mapping."}],"volume":232,"page":"2867-2874","_id":"12813","type":"conference_editor_article","status":"public","author":[{"first_name":"Li","last_name":"Li","id":"58482","full_name":"Li, Li"},{"last_name":"Schulze","full_name":"Schulze, Lothar","first_name":"Lothar"},{"first_name":"Kunal Satish","last_name":"Kalavadia","id":"83202","full_name":"Kalavadia, Kunal Satish"}],"place":"Amsterdam [u.a.]","language":[{"iso":"eng"}],"date_created":"2025-04-17T06:37:23Z","user_id":"83781","date_updated":"2025-06-25T12:46:47Z","year":"2024","citation":{"din1505-2-1":"<span style=\"font-variant:small-caps;\">Li, Li</span> ; <span style=\"font-variant:small-caps;\">Schulze, Lothar</span> ; <span style=\"font-variant:small-caps;\">Kalavadia, Kunal Satish</span> ; <span style=\"font-variant:small-caps;\">Longo, F.</span> ; <span style=\"font-variant:small-caps;\">Shen, W.</span> ; <span style=\"font-variant:small-caps;\">Padovano, A.</span> (Hrsg.): <i>Promising SLAM Methods for Automated Guided Vehicles and Autonomous Mobile Robots</i>, <i>Procedia Computer Science</i>. Bd. 232. Amsterdam [u.a.] : Elsevier BV, 2024","chicago":"Li, Li, Lothar Schulze, and Kunal Satish Kalavadia. <i>Promising SLAM Methods for Automated Guided Vehicles and Autonomous Mobile Robots</i>. Edited by F. Longo, W. Shen, and A. Padovano. <i>5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)</i>. Vol. 232. Procedia Computer Science. Amsterdam [u.a.]: Elsevier BV, 2024. <a href=\"https://doi.org/10.1016/j.procs.2024.02.103\">https://doi.org/10.1016/j.procs.2024.02.103</a>.","short":"L. Li, L. Schulze, K.S. Kalavadia, Promising SLAM Methods for Automated Guided Vehicles and Autonomous Mobile Robots, Elsevier BV, Amsterdam [u.a.], 2024.","mla":"Li, Li, et al. “Promising SLAM Methods for Automated Guided Vehicles and Autonomous Mobile Robots.” <i>5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)</i>, edited by F. Longo et al., vol. 232, Elsevier BV, 2024, pp. 2867–74, <a href=\"https://doi.org/10.1016/j.procs.2024.02.103\">https://doi.org/10.1016/j.procs.2024.02.103</a>.","bjps":"<b>Li L, Schulze L and Kalavadia KS</b> (2024) <i>Promising SLAM Methods for Automated Guided Vehicles and Autonomous Mobile Robots</i>, Longo F, Shen W and Padovano A (eds). Amsterdam [u.a.]: Elsevier BV.","chicago-de":"Li, Li, Lothar Schulze und Kunal Satish Kalavadia. 2024. <i>Promising SLAM Methods for Automated Guided Vehicles and Autonomous Mobile Robots</i>. Hg. von F. Longo, W. Shen, und A. Padovano. <i>5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)</i>. Bd. 232. Procedia Computer Science. Amsterdam [u.a.]: Elsevier BV. doi:<a href=\"https://doi.org/10.1016/j.procs.2024.02.103\">10.1016/j.procs.2024.02.103</a>, .","apa":"Li, L., Schulze, L., &#38; Kalavadia, K. S. (2024). Promising SLAM Methods for Automated Guided Vehicles and Autonomous Mobile Robots. In F. Longo, W. Shen, &#38; A. Padovano (Eds.), <i>5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)</i> (Vol. 232, pp. 2867–2874). Elsevier BV. <a href=\"https://doi.org/10.1016/j.procs.2024.02.103\">https://doi.org/10.1016/j.procs.2024.02.103</a>","ama":"Li L, Schulze L, Kalavadia KS. <i>Promising SLAM Methods for Automated Guided Vehicles and Autonomous Mobile Robots</i>. Vol 232. (Longo F, Shen W, Padovano A, eds.). Elsevier BV; 2024:2867-2874. doi:<a href=\"https://doi.org/10.1016/j.procs.2024.02.103\">10.1016/j.procs.2024.02.103</a>","ufg":"<b>Li, Li/Schulze, Lothar/Kalavadia, Kunal Satish</b>: Promising SLAM Methods for Automated Guided Vehicles and Autonomous Mobile Robots, Bd. 232, hg. von Longo, F./Shen, W./Padovano, A., Amsterdam [u.a.] 2024 (Procedia Computer Science).","havard":"L. Li, L. Schulze, K.S. Kalavadia, Promising SLAM Methods for Automated Guided Vehicles and Autonomous Mobile Robots, Elsevier BV, Amsterdam [u.a.], 2024.","van":"Li L, Schulze L, Kalavadia KS. Promising SLAM Methods for Automated Guided Vehicles and Autonomous Mobile Robots. Longo F, Shen W, Padovano A, editors. 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM). Amsterdam [u.a.]: Elsevier BV; 2024. (Procedia Computer Science; vol. 232).","ieee":"L. Li, L. Schulze, and K. S. Kalavadia, <i>Promising SLAM Methods for Automated Guided Vehicles and Autonomous Mobile Robots</i>, vol. 232. Amsterdam [u.a.]: Elsevier BV, 2024, pp. 2867–2874. doi: <a href=\"https://doi.org/10.1016/j.procs.2024.02.103\">10.1016/j.procs.2024.02.103</a>."},"publisher":"Elsevier BV","intvolume":"       232","series_title":"Procedia Computer Science","department":[{"_id":"DEP7000"}],"title":"Promising SLAM Methods for Automated Guided Vehicles and Autonomous Mobile Robots","publication_identifier":{"issn":["1877-0509"]},"publication_status":"published","doi":"10.1016/j.procs.2024.02.103","publication":"5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)","conference":{"name":"5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)","location":"Lisbon, PORTUGAL","start_date":"2023-11-22","end_date":"2023-11-24"},"keyword":["Automated Guided Vehicle","Autonomous Mobile Robot","Simultaneous Localization and Mapping","Robot Operating System"]},{"conference":{"end_date":"2019-10-05","start_date":"2019-10-04","location":"Lemgo","name":"Proceedings 8th International Conference"},"publication_identifier":{"isbn":["978-3-946856-03-0"]},"publication_status":"published","department":[{"_id":"DEP7000"},{"_id":"DEP1306"}],"title":"Put-Away and Retrieval Optimization Strategies towards Reduction of Blocks Relocations in a Block Storage","issue":"1","keyword":["Block storage","Put-away","Blocks relocation","Block retrieval","Order picking","First in last out","First in first out","Pre-marshalling"],"citation":{"havard":"L. Li, Put-Away and Retrieval Optimization Strategies towards Reduction of Blocks Relocations in a Block Storage, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and Management (Eds.), Lemgo, 2018: pp. 101–112.","ufg":"<b>Li, Li (2018)</b>: Put-Away and Retrieval Optimization Strategies towards Reduction of Blocks Relocations in a Block Storage, in: Franz-Josef Villmer et. al. (Hgg.): , Lemgo, S. 101–112.","chicago":"Li, Li. “Put-Away and Retrieval Optimization Strategies towards Reduction of Blocks Relocations in a Block Storage.” edited by Franz-Josef Villmer, Elio Padoano, and Department of Production Engineering and Management, 101–12. Lemgo, 2018.","short":"L. Li, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and Management (Eds.), Lemgo, 2018, pp. 101–112.","ama":"Li L. Put-Away and Retrieval Optimization Strategies towards Reduction of Blocks Relocations in a Block Storage. In: Villmer F-J, Padoano E, Department of Production Engineering and Management, eds. Lemgo; 2018:101-112.","mla":"Li, Li. <i>Put-Away and Retrieval Optimization Strategies towards Reduction of Blocks Relocations in a Block Storage</i>. Edited by Franz-Josef Villmer et al., no. 1, 2018, pp. 101–12.","apa":"Li, L. (2018). Put-Away and Retrieval Optimization Strategies towards Reduction of Blocks Relocations in a Block Storage. In F.-J. Villmer, E. Padoano, &#38; Department of Production Engineering and Management (Eds.) (pp. 101–112). Presented at the Proceedings 8th International Conference, Lemgo.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Li, Li</span>: Put-Away and Retrieval Optimization Strategies towards Reduction of Blocks Relocations in a Block Storage. In: <span style=\"font-variant:small-caps;\">Villmer, F.-J.</span> ; <span style=\"font-variant:small-caps;\">Padoano, E.</span> ; <span style=\"font-variant:small-caps;\">Department of Production Engineering and Management</span> (Hrsg.): . Lemgo, 2018, S. 101–112","van":"Li L. Put-Away and Retrieval Optimization Strategies towards Reduction of Blocks Relocations in a Block Storage. In: Villmer F-J, Padoano E, Department of Production Engineering and Management, editors. Lemgo; 2018. p. 101–12.","ieee":"L. Li, “Put-Away and Retrieval Optimization Strategies towards Reduction of Blocks Relocations in a Block Storage,” presented at the Proceedings 8th International Conference, Lemgo, 2018, no. 1, pp. 101–112.","chicago-de":"Li, Li. 2018. Put-Away and Retrieval Optimization Strategies towards Reduction of Blocks Relocations in a Block Storage. In: , hg. von Franz-Josef Villmer, Elio Padoano, und Department of Production Engineering and Management, 101–112. Lemgo.","bjps":"<b>Li L</b> (2018) Put-Away and Retrieval Optimization Strategies towards Reduction of Blocks Relocations in a Block Storage. In Villmer F-J, Padoano E and Department of Production Engineering and Management (eds). Lemgo, pp. 101–112."},"oa":"1","main_file_link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM2018_proceedings_web.pdf","open_access":"1"}],"date_created":"2019-02-13T15:12:26Z","corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"language":[{"iso":"eng"}],"year":2018,"date_updated":"2023-03-15T13:50:00Z","related_material":{"link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM2018_proceedings_web.pdf","relation":"contains"}]},"user_id":"45673","page":"101-112","_id":"555","type":"conference","editor":[{"first_name":"Franz-Josef","full_name":"Villmer, Franz-Josef","last_name":"Villmer"},{"last_name":"Padoano","full_name":"Padoano, Elio","first_name":"Elio"}],"abstract":[{"text":"Although it is recommended to store goods in a warehouse based on the principle of first in first out, it is still unavoidable to use block storage of storing, for example, long andbulky goods. If the major advantage of block storage in area saving is themost important, the companyhas to accept the removal principle of last in first out or in other words, first in last out. The last goods to be stocked are the first goods to be removed and the first stocked goods are the last to be removed. There are some special observations in the block storage concerned in this paper. The first one is that the goods in the storage ordered by the customers can often not be removed directly from the storage without any stock movement. Theaim is to not only benefit fromthe high-density storage solution but also decrease the negative influence of block storage, especially when pre-stocked goods must be removed at first. The second observation is that during one concerned time period, forexample, one day, there may be several operations of put-away and several operations of order picking for shipment preparation. The third observation is that before goods are put away to storage, which goods to be removed are not always predictable. The preplanned removal dates are quite often unexpected changed. In this paper, scenarios with different dynamic properties and stochastic probabilities have been concerned and defined. Strategies for the three main stages of put-away, i.e. stacking, pre-marshalingand retrieval are defined and examined developed. Simulations have been conducted to examine the strategies based on different scenarios. The aimis to select the right strategy which may reduce the overall relocation operations. It is expected that the sum of blocks movement during put-away i.e. stacking, pre-marshaling, and block retrieval is optimally minimized.","lang":"eng"}],"place":"Lemgo","author":[{"first_name":"Li","last_name":"Li","full_name":"Li, Li","id":"58482"}],"status":"public"},{"publication_status":"published","publication_identifier":{"isbn":["978-3-946856-03-0"]},"title":"Comparison and Evaluation of SLAM Algorithms for AGV Navigation","department":[{"_id":"DEP7000"},{"_id":"DEP1306"}],"issue":"1","publication":"Production Engineering and Management","conference":{"name":"Proceedings 8th International Conference","end_date":"2018-10-05","start_date":"2018-10-04","location":"Lemgo"},"keyword":["Automatedguided vehicle","Simultaneous localization and mapping","Robot operating system","Light detection and ranging"],"oa":"1","citation":{"chicago":"Li, Li, and L. Schulze. “Comparison and Evaluation of SLAM Algorithms for AGV Navigation.” In <i>Production Engineering and Management</i>, edited by Franz-Josef Villmer, Elio Padoano, and Department of Production Engineering and Management, 213–23. Lemgo, 2018.","short":"L. Li, L. Schulze, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2018, pp. 213–223.","mla":"Li, Li, and L. Schulze. “Comparison and Evaluation of SLAM Algorithms for AGV Navigation.” <i>Production Engineering and Management</i>, edited by Franz-Josef Villmer et al., no. 1, 2018, pp. 213–23.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Li, Li</span> ; <span style=\"font-variant:small-caps;\">Schulze, L.</span>: Comparison and Evaluation of SLAM Algorithms for AGV Navigation. In: <span style=\"font-variant:small-caps;\">Villmer, F.-J.</span> ; <span style=\"font-variant:small-caps;\">Padoano, E.</span> ; <span style=\"font-variant:small-caps;\">Department of Production Engineering and Management</span> (Hrsg.): <i>Production Engineering and Management</i>. Lemgo, 2018, S. 213–223","bjps":"<b>Li L and Schulze L</b> (2018) Comparison and Evaluation of SLAM Algorithms for AGV Navigation. In Villmer F-J, Padoano E and Department of Production Engineering and Management (eds), <i>Production Engineering and Management</i>. Lemgo, pp. 213–223.","chicago-de":"Li, Li und L. Schulze. 2018. Comparison and Evaluation of SLAM Algorithms for AGV Navigation. In: <i>Production Engineering and Management</i>, hg. von Franz-Josef Villmer, Elio Padoano, und Department of Production Engineering and Management, 213–223. Lemgo.","ama":"Li L, Schulze L. Comparison and Evaluation of SLAM Algorithms for AGV Navigation. In: Villmer F-J, Padoano E, Department of Production Engineering and Management, eds. <i>Production Engineering and Management</i>. Lemgo; 2018:213-223.","apa":"Li, L., &#38; Schulze, L. (2018). Comparison and Evaluation of SLAM Algorithms for AGV Navigation. In F.-J. Villmer, E. Padoano, &#38; Department of Production Engineering and Management (Eds.), <i>Production Engineering and Management</i> (pp. 213–223). Lemgo.","havard":"L. Li, L. Schulze, Comparison and Evaluation of SLAM Algorithms for AGV Navigation, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2018: pp. 213–223.","ufg":"<b>Li, Li/Schulze, L. (2018)</b>: Comparison and Evaluation of SLAM Algorithms for AGV Navigation, in: Franz-Josef Villmer et. al. (Hgg.): <i>Production Engineering and Management</i>, Lemgo, S. 213–223.","van":"Li L, Schulze L. Comparison and Evaluation of SLAM Algorithms for AGV Navigation. In: Villmer F-J, Padoano E, Department of Production Engineering and Management, editors. Production Engineering and Management. Lemgo; 2018. p. 213–23.","ieee":"L. Li and L. Schulze, “Comparison and Evaluation of SLAM Algorithms for AGV Navigation,” in <i>Production Engineering and Management</i>, Lemgo, 2018, no. 1, pp. 213–223."},"language":[{"iso":"eng"}],"main_file_link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM2018_proceedings_web.pdf","open_access":"1"}],"corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"date_created":"2019-02-13T15:56:30Z","user_id":"45673","date_updated":"2023-03-15T13:50:00Z","year":2018,"editor":[{"last_name":"Villmer","full_name":"Villmer, Franz-Josef","first_name":"Franz-Josef"},{"full_name":"Padoano, Elio","last_name":"Padoano","first_name":"Elio"}],"abstract":[{"text":"The navigation technique has been always an important issue for guiding an automated guided vehicle (AGV). With the development of sensor technology, software engineering, andalgorithms, there is a spectrum of different navigation methods for AGVs. Inorder to avoid the additional environmental installation,so as to increase the flexibility of route planning, but to keep the positioning precision, more sensors, such as light detection and ranging (LIDAR), wheel encoders and gyroscope are installed on the vehicles to be automated. Some intelligent algorithms such as simultaneous localization and mapping (SLAM) algorithms and Monte Carlo localization have been developed for the navigation of vehicles, including position and orientation. The interesting question, especially for the AGVmanufacturers, is: which algorithm is more suitable for which kind of applications. The suitabilityof an algorithm for the navigation of AGVs with facilities of Light Detection and Ranging(LIDAR), encoders and gyroscope ismainly determined by four properties. They are the positioning precision, computational costs, execution time and positioning repeatability. This paper intends to investigate the suitability of an algorithm or a navigation method for AGVs with LIDAR, wheel encoders,and gyroscope. The two aspects of positioningaccuracy and repeatability are especially concerned. A general comparison of different navigation methods and algorithms is given. An experimental platform with a basic vehicle, controlling system and sensors is then developed to further evaluate the algorithms. The hardware components and software components are compatible to robot operating system (ROS). This open-source robotics middleware provides services and tools for creating robot applications. As ROS SLAM nodes, open-source SLAM algorithms can be evaluated relatively easily without any rewriting or modification of the algorithms. As a new research field, there is not jet a SLAM algorithm, which is predominant absolutely.","lang":"eng"}],"_id":"559","page":"213-223","type":"conference","author":[{"first_name":"Li","full_name":"Li, Li","id":"58482","last_name":"Li"},{"first_name":"L.","full_name":"Schulze, L.","last_name":"Schulze"}],"status":"public","place":"Lemgo"},{"type":"conference","_id":"560","page":"233-242","editor":[{"last_name":"Villmer","full_name":"Villmer, Franz-Josef","first_name":"Franz-Josef"},{"full_name":"Padoano, Elio","last_name":"Padoano","first_name":"Elio"}],"abstract":[{"lang":"eng","text":"In warehouse planning and dimensioning, many parameters and conditions have to be met and goals must be fulfilled, e.g. labor and investment costs, desired throughput and capacity, available material handling technologies and size constraints. These factors determine the ultimate choice of a particular alternative from a wide range of solution alternatives.On the one hand, the warehouse planning process is very complex and takes into account all different aspects of decision-making. On the other hand, it is expected that the planning period is shorter and shorter. To balance out the competing interests of accuracy and time, it is a promising approach to make use of computer-based planning tools. They can be used to find the most cost-efficientalternative and to visualize its layout.In addition, at the end of the planning process not only technologies and layout dimensions are specified, the warehouse layout with the rack configuration, the conveyors and the buildings should be visualized in three dimensions.It is a promising approach to integrate the detailed layout drawing through computer-aideddesign tools such as AutoCAD Inventor into warehouse planning process. Softwareis developed for detailed warehouse planning. The core modules of the software can generate a favorable warehouse alternative and an AutoCAD-Add-On for the visualization of the outcomes.With the planning tool,the planning period can be significantly shortened while simultaneously the planning quality, especially during the period of rough planning, increases.To balance out the competing interests of accuracy and time, it is a promising approach to make use ofcomputer-basedplanning tools. They can be used to find the most cost-efficientalternative and to visualize its layout."}],"place":"Lemgo","author":[{"last_name":"Schulze","full_name":"Schulze, L.","first_name":"L."},{"first_name":"Li","full_name":"Li, Li","id":"58482","last_name":"Li"}],"status":"public","main_file_link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM2018_proceedings_web.pdf","open_access":"1"}],"corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"date_created":"2019-02-13T16:05:34Z","language":[{"iso":"eng"}],"year":2018,"date_updated":"2023-03-15T13:50:00Z","related_material":{"link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM2018_proceedings_web.pdf","relation":"contains"}]},"user_id":"45673","citation":{"mla":"Schulze, L., and Li Li. “Digitized Planning with Visualization for Warehouse Layouts.” <i>Production Engineering and Management</i>, edited by Franz-Josef Villmer et al., no. 1, 2018, pp. 233–42.","short":"L. Schulze, L. Li, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2018, pp. 233–242.","ama":"Schulze L, Li L. Digitized Planning with Visualization for Warehouse Layouts. In: Villmer F-J, Padoano E, Department of Production Engineering and Management, eds. <i>Production Engineering and Management</i>. Lemgo; 2018:233-242.","chicago":"Schulze, L., and Li Li. “Digitized Planning with Visualization for Warehouse Layouts.” In <i>Production Engineering and Management</i>, edited by Franz-Josef Villmer, Elio Padoano, and Department of Production Engineering and Management, 233–42. Lemgo, 2018.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Schulze, L.</span> ; <span style=\"font-variant:small-caps;\">Li, Li</span>: Digitized Planning with Visualization for Warehouse Layouts. In: <span style=\"font-variant:small-caps;\">Villmer, F.-J.</span> ; <span style=\"font-variant:small-caps;\">Padoano, E.</span> ; <span style=\"font-variant:small-caps;\">Department of Production Engineering and Management</span> (Hrsg.): <i>Production Engineering and Management</i>. Lemgo, 2018, S. 233–242","apa":"Schulze, L., &#38; Li, L. (2018). Digitized Planning with Visualization for Warehouse Layouts. In F.-J. Villmer, E. Padoano, &#38; Department of Production Engineering and Management (Eds.), <i>Production Engineering and Management</i> (pp. 233–242). Lemgo.","havard":"L. Schulze, L. Li, Digitized Planning with Visualization for Warehouse Layouts, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2018: pp. 233–242.","ufg":"<b>Schulze, L./Li, Li (2018)</b>: Digitized Planning with Visualization for Warehouse Layouts, in: Franz-Josef Villmer et. al. (Hgg.): <i>Production Engineering and Management</i>, Lemgo, S. 233–242.","chicago-de":"Schulze, L. und Li Li. 2018. Digitized Planning with Visualization for Warehouse Layouts. In: <i>Production Engineering and Management</i>, hg. von Franz-Josef Villmer, Elio Padoano, und Department of Production Engineering and Management, 233–242. Lemgo.","bjps":"<b>Schulze L and Li L</b> (2018) Digitized Planning with Visualization for Warehouse Layouts. In Villmer F-J, Padoano E and Department of Production Engineering and Management (eds), <i>Production Engineering and Management</i>. Lemgo, pp. 233–242.","ieee":"L. Schulze and L. Li, “Digitized Planning with Visualization for Warehouse Layouts,” in <i>Production Engineering and Management</i>, Lemgo, 2018, no. 1, pp. 233–242.","van":"Schulze L, Li L. Digitized Planning with Visualization for Warehouse Layouts. In: Villmer F-J, Padoano E, Department of Production Engineering and Management, editors. Production Engineering and Management. Lemgo; 2018. p. 233–42."},"oa":"1","publication":"Production Engineering and Management","conference":{"name":"Proceedings 8th International Conference","location":"Lemgo","start_date":"2018-10-04","end_date":"2018-10-05"},"publication_identifier":{"isbn":["978-3-946856-03-0"]},"publication_status":"published","department":[{"_id":"DEP7000"},{"_id":"DEP1306"}],"title":"Digitized Planning with Visualization for Warehouse Layouts","issue":"1","keyword":["Warehouse planning","Layout configuration","Labor and investment costs"]},{"related_material":{"link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf","relation":"contains"}]},"date_updated":"2023-03-15T13:50:01Z","year":2017,"user_id":"45673","corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"date_created":"2019-02-18T11:16:07Z","main_file_link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf","open_access":"1"}],"language":[{"iso":"eng"}],"place":"Lemgo","author":[{"id":"58482","full_name":"Li, Li","last_name":"Li","first_name":"Li"}],"status":"public","_id":"576","type":"conference","page":"139-150","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."}],"editor":[{"first_name":"Elio","last_name":"Padoano","full_name":"Padoano, Elio"},{"first_name":"Franz-Josef","full_name":"Villmer, Franz-Josef","last_name":"Villmer"}],"keyword":["Automotive industry","Logistics network configuration","Late product individualization","Postponement","NSGGA"],"conference":{"name":"Proceedings7th International Conference","end_date":"2017-09-29","start_date":"2017-09-28","location":"Pordenone, Italy"},"publication":"Production Engineering and Management","issue":"1","publication_status":"published","publication_identifier":{"isbn":["978-3-946856-01-6"]},"title":"Optimization of Automotive Logistics Network with Late Product Individualization","department":[{"_id":"DEP7000"},{"_id":"DEP1306"}],"series_title":"Publication series in direct digital manufacturing ","citation":{"ieee":"L. Li, “Optimization of Automotive Logistics Network with Late Product Individualization,” in <i>Production Engineering and Management</i>, Pordenone, Italy, 2017, no. 1, pp. 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 ).","bjps":"<b>Li L</b> (2017) Optimization of Automotive Logistics Network with Late Product Individualization. In Padoano E, Villmer F-J and Department of Production Engineering and Management (eds), <i>Production Engineering and Management</i>. Lemgo, pp. 139–150.","chicago-de":"Li, Li. 2017. Optimization of Automotive Logistics Network with Late Product Individualization. In: <i>Production Engineering and Management</i>, hg. von Elio Padoano, Franz-Josef Villmer, und Department of Production Engineering and Management, 139–150. Publication series in direct digital manufacturing . Lemgo.","ufg":"<b>Li, Li (2017)</b>: Optimization of Automotive Logistics Network with Late Product Individualization, in: Elio Padoano et. al. (Hgg.): <i>Production Engineering and Management</i> (=<i>Publication series in direct digital manufacturing </i>), Lemgo, 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.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Li, Li</span>: Optimization of Automotive Logistics Network with Late Product Individualization. In: <span style=\"font-variant:small-caps;\">Padoano, E.</span> ; <span style=\"font-variant:small-caps;\">Villmer, F.-J.</span> ; <span style=\"font-variant:small-caps;\">Department of Production Engineering and Management</span> (Hrsg.): <i>Production Engineering and Management</i>, <i>Publication series in direct digital manufacturing </i>. Lemgo, 2017, S. 139–150","apa":"Li, L. (2017). Optimization of Automotive Logistics Network with Late Product Individualization. In E. Padoano, F.-J. Villmer, &#38; Department of Production Engineering and Management (Eds.), <i>Production Engineering and Management</i> (pp. 139–150). Lemgo.","mla":"Li, Li. “Optimization of Automotive Logistics Network with Late Product Individualization.” <i>Production Engineering and Management</i>, 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.","chicago":"Li, Li. “Optimization of Automotive Logistics Network with Late Product Individualization.” In <i>Production Engineering and Management</i>, edited by Elio Padoano, Franz-Josef Villmer, and Department of Production Engineering and Management, 139–50. Publication Series in Direct Digital Manufacturing . Lemgo, 2017.","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. <i>Production Engineering and Management</i>. Publication series in direct digital manufacturing . Lemgo; 2017:139-150."},"oa":"1"},{"oa":"1","citation":{"bjps":"<b>Li L and Schulze L</b> (2016) In-Plant Milk-Run Distribution for Material Provision Optimization in Lean Production. In Villmer F-J, Padoano E and Department of Production Engineering and Management (eds). Lemgo, pp. 65–76.","chicago-de":"Li, Li und L. Schulze. 2016. In-Plant Milk-Run Distribution for Material Provision Optimization in Lean Production. In: , hg. von Franz-Josef Villmer, Elio Padoano, und Department of Production Engineering and Management, 65–76. Lemgo.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Li, Li</span> ; <span style=\"font-variant:small-caps;\">Schulze, L.</span>: In-Plant Milk-Run Distribution for Material Provision Optimization in Lean Production. In: <span style=\"font-variant:small-caps;\">Villmer, F.-J.</span> ; <span style=\"font-variant:small-caps;\">Padoano, E.</span> ; <span style=\"font-variant:small-caps;\">Department of Production Engineering and Management</span> (Hrsg.): . Lemgo, 2016, S. 65–76","mla":"Li, Li, and L. Schulze. <i>In-Plant Milk-Run Distribution for Material Provision Optimization in Lean Production</i>. Edited by Franz-Josef Villmer et al., no. 1, 2016, pp. 65–76.","short":"L. Li, L. Schulze, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and Management (Eds.), Lemgo, 2016, pp. 65–76.","chicago":"Li, Li, and L. Schulze. “In-Plant Milk-Run Distribution for Material Provision Optimization in Lean Production.” edited by Franz-Josef Villmer, Elio Padoano, and Department of Production Engineering and Management, 65–76. Lemgo, 2016.","ieee":"L. Li and L. Schulze, “In-Plant Milk-Run Distribution for Material Provision Optimization in Lean Production,” presented at the Proceedings 6th International Conference, Lemgo, 2016, no. 1, pp. 65–76.","van":"Li L, Schulze L. In-Plant Milk-Run Distribution for Material Provision Optimization in Lean Production. In: Villmer F-J, Padoano E, Department of Production Engineering and Management, editors. Lemgo; 2016. p. 65–76.","apa":"Li, L., &#38; Schulze, L. (2016). In-Plant Milk-Run Distribution for Material Provision Optimization in Lean Production. In F.-J. Villmer, E. Padoano, &#38; Department of Production Engineering and Management (Eds.) (pp. 65–76). Presented at the Proceedings 6th International Conference, Lemgo.","ama":"Li L, Schulze L. In-Plant Milk-Run Distribution for Material Provision Optimization in Lean Production. In: Villmer F-J, Padoano E, Department of Production Engineering and Management, eds. Lemgo; 2016:65-76.","ufg":"<b>Li, Li/Schulze, L. (2016)</b>: In-Plant Milk-Run Distribution for Material Provision Optimization in Lean Production, in: Franz-Josef Villmer et. al. (Hgg.): , Lemgo, S. 65–76.","havard":"L. Li, L. Schulze, In-Plant Milk-Run Distribution for Material Provision Optimization in Lean Production, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and Management (Eds.), Lemgo, 2016: pp. 65–76."},"issue":"1","department":[{"_id":"DEP1306"}],"title":"In-Plant Milk-Run Distribution for Material Provision Optimization in Lean Production","publication_status":"published","publication_identifier":{"isbn":["978-3-946856-00-9"]},"conference":{"name":"Proceedings 6th International Conference","location":"Lemgo","start_date":"2016-09-29","end_date":"2019-09-30"},"keyword":["Milk-Run","Material provision","Lean production","Genetic algorithm"],"abstract":[{"lang":"eng","text":"Under the circumstance of advanced globalization, it is increasingly difficult for production companies to remain competitiveness. Many of them are forced to restrict budget and reduce production costs. In addition, the customization of product increases continuously. This results in extension of product variation and reduction of product life cycle. Therefore, the companies need a high flexibility to respond quickly to changes in the market and to customer requirements. Lean thinking, as a powerful tool, has been implemented by many companies in production and manufacturing. In order to avoid waste in lean manufacturing, it is necessary to manage efficiently the material flow. In this study, for a lean material handling system in the lean manufacturing of a company, an in-plant milk-run distribution system is taken into consideration. The system consistsof vehicles, which move periodically in certain routes. The materials are delivered in short intervals from a central storage area to several points of use in the production. By using milk-run in plant, the material handling processes can be standardized and therefore the waste can be eliminated. One additional aim of the study with milk-run distribution for the material provision is to minimize the handling time, which determines directly the personal costs. In order to realize the aim, the work has beendivided into several steps. At first, the production processes, especially the material provision for the production have been analyzed. Secondly, the technological solutions have been analyzed in order to handle different loading units required by different machines in the production. Thirdly, the milk-run distribution for lean production is formulated as an optimization problem with the object of minimizing the number of vehicles and the distance traveled under the constraints of specific time periods, capacity of vehicle and related stations etc. Fourthly, two optimization methods are developed in order to find the optimal solution for the milk-run problem and the performance of different methods is also compared."}],"editor":[{"first_name":"Franz-Josef","full_name":"Villmer, Franz-Josef","last_name":"Villmer"},{"first_name":"Elio","last_name":"Padoano","full_name":"Padoano, Elio"}],"_id":"586","type":"conference","page":"65-76","status":"public","author":[{"first_name":"Li","last_name":"Li","id":"58482","full_name":"Li, Li"},{"first_name":"L.","last_name":"Schulze","full_name":"Schulze, L."}],"place":"Lemgo","language":[{"iso":"eng"}],"corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"date_created":"2019-02-18T14:39:16Z","main_file_link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf","open_access":"1"}],"user_id":"45673","related_material":{"link":[{"relation":"contains","url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf"}]},"date_updated":"2023-03-15T13:50:02Z","year":2016},{"editor":[{"first_name":"Franz-Josef","full_name":"Villmer, Franz-Josef","last_name":"Villmer"},{"first_name":"Elio","full_name":"Padoano, Elio","last_name":"Padoano"}],"abstract":[{"lang":"eng","text":"Due to the increased individualization of customer demands in the last 20 years, the production systems are required to be more flexible and scalable. It is the samefor the material flow system with automated guided vehicles (AGVs). To realize the flexibility and scalability, it is recommended to decentralized control the vehicles. As an attempt, a concept of swarm intelligence with Radio Frequency Identification (RFID) is proposed and introduced in this article. The concept is supposed to be used for automated guided vehicle systems in which objects have to be transported from place to place. Therefore the object has to be self-organized and has to manage its own transport. In this context the vehicles have to choose the most optimal transportation. Swarm intelligence is a topic which deserves a high level of attention as a method to realize high flexibility and scalability."}],"page":"133-143","_id":"593","type":"conference","status":"public","author":[{"full_name":"Cantauw, Alisa Maria","id":"56638","last_name":"Cantauw","first_name":"Alisa Maria"},{"last_name":"Li","id":"58482","full_name":"Li, Li","first_name":"Li"}],"place":"Lemgo","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf"}],"corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"date_created":"2019-02-18T15:32:10Z","user_id":"45673","date_updated":"2023-03-15T13:50:03Z","year":2016,"related_material":{"link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf","relation":"contains"}]},"oa":"1","citation":{"havard":"A.M. Cantauw, L. Li, Application of Swarm Intelligence for Automated Guided Vehicle Systems, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and Management (Eds.), Department of Production Engineering and Management, Lemgo, 2016: pp. 133–143.","ufg":"<b>Cantauw, Alisa Maria/Li, Li (2016)</b>: Application of Swarm Intelligence for Automated Guided Vehicle Systems, in: Franz-Josef Villmer et. al. (Hgg.): <i>Department of Production Engineering and Management</i>, Lemgo, S. 133–143.","ama":"Cantauw AM, Li L. Application of Swarm Intelligence for Automated Guided Vehicle Systems. In: Villmer F-J, Padoano E, Department of Production Engineering and Management, eds. <i>Department of Production Engineering and Management</i>. Lemgo; 2016:133-143.","short":"A.M. Cantauw, L. Li, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and Management (Eds.), Department of Production Engineering and Management, Lemgo, 2016, pp. 133–143.","chicago":"Cantauw, Alisa Maria, and Li Li. “Application of Swarm Intelligence for Automated Guided Vehicle Systems.” In <i>Department of Production Engineering and Management</i>, edited by Franz-Josef Villmer, Elio Padoano, and Department of Production Engineering and Management, 133–43. Lemgo, 2016.","mla":"Cantauw, Alisa Maria, and Li Li. “Application of Swarm Intelligence for Automated Guided Vehicle Systems.” <i>Department of Production Engineering and Management</i>, edited by Franz-Josef Villmer et al., no. 1, 2016, pp. 133–43.","apa":"Cantauw, A. M., &#38; Li, L. (2016). Application of Swarm Intelligence for Automated Guided Vehicle Systems. In F.-J. Villmer, E. Padoano, &#38; Department of Production Engineering and Management (Eds.), <i>Department of Production Engineering and Management</i> (pp. 133–143). Lemgo.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Cantauw, Alisa Maria</span> ; <span style=\"font-variant:small-caps;\">Li, Li</span>: Application of Swarm Intelligence for Automated Guided Vehicle Systems. In: <span style=\"font-variant:small-caps;\">Villmer, F.-J.</span> ; <span style=\"font-variant:small-caps;\">Padoano, E.</span> ; <span style=\"font-variant:small-caps;\">Department of Production Engineering and Management</span> (Hrsg.): <i>Department of Production Engineering and Management</i>. Lemgo, 2016, S. 133–143","van":"Cantauw AM, Li L. Application of Swarm Intelligence for Automated Guided Vehicle Systems. In: Villmer F-J, Padoano E, Department of Production Engineering and Management, editors. Department of Production Engineering and Management. Lemgo; 2016. p. 133–43.","ieee":"A. M. Cantauw and L. Li, “Application of Swarm Intelligence for Automated Guided Vehicle Systems,” in <i>Department of Production Engineering and Management</i>, Lemgo, 2016, no. 1, pp. 133–143.","bjps":"<b>Cantauw AM and Li L</b> (2016) Application of Swarm Intelligence for Automated Guided Vehicle Systems. In Villmer F-J, Padoano E and Department of Production Engineering and Management (eds), <i>Department of Production Engineering and Management</i>. Lemgo, pp. 133–143.","chicago-de":"Cantauw, Alisa Maria und Li Li. 2016. Application of Swarm Intelligence for Automated Guided Vehicle Systems. In: <i>Department of Production Engineering and Management</i>, hg. von Franz-Josef Villmer, Elio Padoano, und Department of Production Engineering and Management, 133–143. Lemgo."},"title":"Application of Swarm Intelligence for Automated Guided Vehicle Systems","department":[{"_id":"DEP7000"},{"_id":"DEP1306"}],"publication_identifier":{"isbn":["978-3-946856-00-9"]},"publication_status":"published","issue":"1","publication":"Department of Production Engineering and Management","conference":{"start_date":"2016-09-29","location":"Lemgo","end_date":"2016-09-30","name":"Proceedings 6th International Conference"},"keyword":["Swarm  intelligence","Automated  guided  vehicle  system","RFID","Internet  of things","Multi-agent system"]},{"date_created":"2019-02-19T07:34:56Z","corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"main_file_link":[{"open_access":"1","url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_Tagung_zusammen2015.pdf"}],"language":[{"iso":"eng"}],"related_material":{"link":[{"relation":"contains","url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_Tagung_zusammen2015.pdf"}]},"date_updated":"2023-03-15T13:50:03Z","year":2015,"user_id":"45673","_id":"599","type":"conference","page":"319-326","abstract":[{"lang":"eng","text":"Order picking has long been identified as the most labor costly and intensively activity in warehouse management. The orders from the customers need to be fulfilled tightly and timely. In order to keep the required high service level, the warehouse has to increase the picking productivity under the constraints of limited capacity. This paper concerns a man-togoods order picking system, in which the order pickers have to drive with a pallet jack to the storage locations. Considering that the orders are mostly small orders which consist of less lines, it is efficient to combine severalsingle customer orders into one picking order. Under this circumstance, this paper intends to answer the question of how customer orders should be grouped into picking orders with the aim of minimizing the total travel length through the warehouse. Consequently the productivity of the order picking system can be improved. An optimization problem for order batching is introduced. The optimization method of order batching is then proposed. Based on the simulation of different scenarios of incoming orders, it can be concluded that the developed method is effective in improving the productivity of the concerned order picking system.\r\n"}],"editor":[{"first_name":"Elio","last_name":"Padoano","full_name":"Padoano, Elio"},{"first_name":"Franz-Josef","full_name":"Villmer, Franz-Josef","last_name":"Villmer"}],"place":"Lemgo","author":[{"first_name":"Li","full_name":"Li, Li","id":"58482","last_name":"Li"},{"first_name":"L.","last_name":"Schulze","full_name":"Schulze, L."}],"status":"public","conference":{"name":"Proceedings5th International Conference","location":"Trieste, Italy","start_date":"2015-10-01","end_date":"2015-10-02"},"publication":"Production Engineering and Management","issue":"1","publication_status":"published","publication_identifier":{"isbn":["978-3-941645-11-0"]},"department":[{"_id":"DEP7000"},{"_id":"DEP1306"}],"title":"Improving the Productivity of a Man-to-Goods Order Picking System through Optimization of Order Batching","keyword":["Order picking","man-to-goods","order batching","picking productivity","genetic algorithm"],"citation":{"ufg":"<b>Li, Li/Schulze, L. (2015)</b>: Improving the Productivity of a Man-to-Goods Order Picking System through Optimization of Order Batching, in: Elio Padoano et. al. (Hgg.): <i>Production Engineering and Management</i>, Lemgo, S. 319–326.","havard":"L. Li, L. Schulze, Improving the Productivity of a Man-to-Goods Order Picking System through Optimization of Order Batching, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2015: pp. 319–326.","apa":"Li, L., &#38; Schulze, L. (2015). Improving the Productivity of a Man-to-Goods Order Picking System through Optimization of Order Batching. In E. Padoano, F.-J. Villmer, &#38; Department of Production Engineering and Management (Eds.), <i>Production Engineering and Management</i> (pp. 319–326). Lemgo.","ama":"Li L, Schulze L. Improving the Productivity of a Man-to-Goods Order Picking System through Optimization of Order Batching. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, eds. <i>Production Engineering and Management</i>. Lemgo; 2015:319-326.","ieee":"L. Li and L. Schulze, “Improving the Productivity of a Man-to-Goods Order Picking System through Optimization of Order Batching,” in <i>Production Engineering and Management</i>, Trieste, Italy, 2015, no. 1, pp. 319–326.","van":"Li L, Schulze L. Improving the Productivity of a Man-to-Goods Order Picking System through Optimization of Order Batching. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, editors. Production Engineering and Management. Lemgo; 2015. p. 319–26.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Li, Li</span> ; <span style=\"font-variant:small-caps;\">Schulze, L.</span>: Improving the Productivity of a Man-to-Goods Order Picking System through Optimization of Order Batching. In: <span style=\"font-variant:small-caps;\">Padoano, E.</span> ; <span style=\"font-variant:small-caps;\">Villmer, F.-J.</span> ; <span style=\"font-variant:small-caps;\">Department of Production Engineering and Management</span> (Hrsg.): <i>Production Engineering and Management</i>. Lemgo, 2015, S. 319–326","mla":"Li, Li, and L. Schulze. “Improving the Productivity of a Man-to-Goods Order Picking System through Optimization of Order Batching.” <i>Production Engineering and Management</i>, edited by Elio Padoano et al., no. 1, 2015, pp. 319–26.","chicago":"Li, Li, and L. Schulze. “Improving the Productivity of a Man-to-Goods Order Picking System through Optimization of Order Batching.” In <i>Production Engineering and Management</i>, edited by Elio Padoano, Franz-Josef Villmer, and Department of Production Engineering and Management, 319–26. Lemgo, 2015.","short":"L. Li, L. Schulze, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2015, pp. 319–326.","chicago-de":"Li, Li und L. Schulze. 2015. Improving the Productivity of a Man-to-Goods Order Picking System through Optimization of Order Batching. In: <i>Production Engineering and Management</i>, hg. von Elio Padoano, Franz-Josef Villmer, und Department of Production Engineering and Management, 319–326. Lemgo.","bjps":"<b>Li L and Schulze L</b> (2015) Improving the Productivity of a Man-to-Goods Order Picking System through Optimization of Order Batching. In Padoano E, Villmer F-J and Department of Production Engineering and Management (eds), <i>Production Engineering and Management</i>. Lemgo, pp. 319–326."},"oa":"1"}]