• DocumentCode
    120297
  • Title

    Job Shop Scheduling Problem with Fuzzy Random Variables

  • Author

    Ling Nie ; Ting Ni

  • Author_Institution
    Uncertainty Decision-Making Lab., Sichuan Univ., Chengdu, China
  • fYear
    2014
  • fDate
    4-6 July 2014
  • Firstpage
    626
  • Lastpage
    630
  • Abstract
    In this paper, we have demonstrated one type of fuzzy random scheduling models on machines and give the algorithm. There are two most common of uncertainty: uncertain processing time and uncertain due-date. We want to find a reasonable scheduling method and give satisfactory results on the average sense.
  • Keywords
    fuzzy set theory; job shop scheduling; random processes; fuzzy random scheduling model; fuzzy random variables; job shop scheduling problem; scheduling method; Biological cells; Encoding; Genetic algorithms; Job shop scheduling; Sociology; Statistics; job shop; fuzzy random variables; due-date;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-5371-4
  • Type

    conf

  • DOI
    10.1109/CSO.2014.119
  • Filename
    6923762
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=120297