文章基本信息

标题：Production Scheduling using a Multi-Objective framework in an Automotive Company
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作者：Konstantinos P. Konstantinidis ; Subrata Saha ; Izabela Nielsen 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2021
卷号：54
期号：1
页码：1087-1091
DOI：10.1016/j.ifacol.2021.08.204
语种：English
出版社：Elsevier
摘要：AbstractThe increased demand for highly customized products and the need for shortening lead times for competitive advantage has also affected the automotive industry. Companies that handle markets in a multi-faced network of demand, like Europe, need to be flexible, responsive, and follow a customer-focused policy. Therefore, there is an increased need for automated solutions not only in product design but also in the manufacturing section. Such solutions need to replace manual effort increasing efficiency and creating new horizons of innovation and development. In this paper, a mathematical model based on Goal Programming modeling has been introduced as a part of a more flexible and automated perspective for production scheduling. The model is applied to a production scheduling process of an automotive company headquartered in Germany to handle a multi-objective problem that manual effort cannot. The paper will explain how demand management, lead time shortening, and process efficiency can be solved through a mathematical model properly modified to its cause.
关键词：KeywordsProduction SchedulingGoal ProgrammingMathematical Modelling of Decision Making Support SystemsDemand ManagementAutomotive Industry