{"language":[{"iso":"eng"}],"department":[{"_id":"DEP7000"},{"_id":"DEP1306"}],"status":"public","series_title":"Publication series in direct digital manufacturing ","user_id":"45673","publication_identifier":{"isbn":["978-3-946856-01-6"]},"date_created":"2019-02-18T11:16:07Z","keyword":["Automotive industry","Logistics network configuration","Late product individualization","Postponement","NSGGA"],"place":"Lemgo","corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"date_updated":"2023-03-15T13:50:01Z","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 ).","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","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.","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.","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.","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.","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.","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.","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.","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."},"publication_status":"published","publication":"Production Engineering and Management","type":"conference","year":2017,"page":"139-150","editor":[{"full_name":"Padoano, Elio","first_name":"Elio","last_name":"Padoano"},{"full_name":"Villmer, Franz-Josef","last_name":"Villmer","first_name":"Franz-Josef"}],"conference":{"name":"Proceedings7th International Conference","start_date":"2017-09-28","location":"Pordenone, Italy","end_date":"2017-09-29"},"author":[{"full_name":"Li, Li","last_name":"Li","first_name":"Li","id":"58482"}],"_id":"576","issue":"1","oa":"1","title":"Optimization of Automotive Logistics Network with Late Product Individualization","main_file_link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf","open_access":"1"}],"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."}],"related_material":{"link":[{"relation":"contains","url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf"}]}}