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A class of multi-objective expected value decision-making model with birandom coefficients and its application to flow shop scheduling problem

  • Sichuan University

Research output: Contribution to journal › Article › peer-review

48 Scopus citations

Abstract

In this paper, we establish multi-objective decision-making models with birandom coefficients for the flow shop scheduling problem. Furthermore, we introduce the general multi-objective decision-making model under a birandom environment, and transform the birandom uncertain model into a deterministic model through an expected value operator, and some properties of the expected value model are also researched. We extend some theories of birandom variables, and especially devote ourselves to researching the expected value of two kinds of birandom variables. The expected value goal model is also proposed. In order to compute the expected value of birandom variables, birandom simulation is presented. Combined with the genetic algorithm, it is applied in dealing with objective functions and constraint functions, and to obtain the optimal solution. Finally, an application to flow shop scheduling at GEELY Haoqing automatic company is provided as an illustration.

Original languageEnglish
Pages (from-to)2997-3017
Number of pages21
JournalInformation Sciences
Volume179
Issue number17
DOIs
StatePublished - 5 Aug 2009
Externally publishedYes

Keywords

  • Birandom simulation-based genetic algorithm
  • Birandom variable
  • Flow shop scheduling problem
  • Multi-objective expected value decision-making model

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