Research on Zero-Wait Scheduling Problems in Multiproduct Processes with Due Dates

  • Zhenhao Xu
  • Xingsheng Gu
Part of the Communications in Computer and Information Science book series (CCIS, volume 355)

Abstract

Production scheduling is an important aspect of batch process operations to achieve high productivity and operability. In this paper, we considered a zero-wait multiproduct scheduling with due dates under uncertainty, where the total weighted earliness/tardiness penalty is to be minimized. The imprecise processing time is expressed with the triangle fuzzy variable and the model has been established based on fuzzy cut-set theory. A new improved shuffled frog-leaping algorithm (ISFLA) is introduced to search optimal objective for the given problem, which has a new updating rule in memeplexes. In order to enhance the ability to search the global optimum, the strategy of Forced Moving of the worst frog in each sub-memeplex is proposed to increase the diversity. Simulated results demonstrate that ISFLA has outperformed the conventional SFLA, which is effective and robust in solving the zero-wait scheduling with due-date window.

Keywords

zero-wait uncertainty SFLA forced moving 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Zhenhao Xu
    • 1
  • Xingsheng Gu
    • 1
  1. 1.Key Laboratory of Advanced Control and Optimization for Chemical ProcessesMinistry of Education, East China University of Science and TechnologyShanghaiChina

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