Production stage allocation problem in large corporations

Lu Zhen, Dan Zhuge, Sheng Lei Zhu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

8 Citations (Scopus)

Abstract

This paper studies a strategic-level decision problem on assigning production stages to geographically distributed subsidiaries in a large corporation so as to minimize the fixed cost and the expected value of the production/transportation costs under stochastic demands of customers. The influence of the economies and diseconomies of scale on unit production cost is considered. A nonlinear mixed integer programming model is designed for this problem. A local branching based solution method and a particle swarm optimization based solution method are developed for solving the model. Computational tests on real world data of Shanghai Volkswagen Auto Corp. are conducted. The results show that the proposed model can save about 2.5% of its revenue by comparing with the current decisions.

Original languageEnglish
Pages (from-to)60-78
Number of pages19
JournalOmega (United Kingdom)
Volume73
DOIs
Publication statusPublished - Dec 2017

Keywords

  • Automobile industry
  • Production
  • Scheduling
  • Stochastic programming

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Information Systems and Management

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