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Robust Order Scheduling in the Discrete Manufacturing Industry: a Multiobjective Optimization Approach
Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai , Institute of Textiles and Clothing, The Hong Kong Polytechnic University.
Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai.
Institute of Textile and Clothing, The Hong Kong Polytechnic University.
Institute of Textile and Clothing, The Hong Kong Polytechnic University.
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2018 (English)In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 14, no 1, p. 253-264, article id 7842622Article in journal (Refereed) Published
Abstract [en]

Order scheduling is of vital importance in discrete manufacturing industries. This paper takes fashion industry as an example and discusses the robust order scheduling problem in the fashion industry. In the fashion industry, order scheduling focuses on the assignment of production orders to appropriate production lines. In reality, before a new order can be put into production, a series of activities known as preproduction events need to be completed. In addition, in real production process, owing to various uncertainties, the daily production quantity of each order is not always as expected. In this paper, by considering the preproduction events and the uncertainties in the daily production quantity, robust order scheduling problems in the fashion industry are investigated with the aid of a multiobjective evolutionary algorithm called nondominated sorting adaptive differential evolution (NSJADE). The experimental results illustrate that it is of paramount importance to consider preproduction events in order scheduling problems in the fashion industry. We also unveil that the existence of the uncertainties in the daily production quantity heavily affects the order scheduling.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018. Vol. 14, no 1, p. 253-264, article id 7842622
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
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URN: urn:nbn:se:ltu:diva-64513DOI: 10.1109/TII.2017.2664080ISI: 000422661900025Scopus ID: 2-s2.0-85040658547OAI: oai:DiVA.org:ltu-64513DiVA, id: diva2:1115251
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Validerad;2018;Nivå 2;2018-02-02 (andbra)

Available from: 2017-06-26 Created: 2017-06-26 Last updated: 2018-04-19Bibliographically approved

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Vasilakos, Athanasios

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