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Fuzzy Sequencing and Scheduling

  • Jaroslav Ramík
  • Milan Vlach
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 41)

Abstract

The early theoretical models of practical machine scheduling and sequencing problems and their mathematical analysis were motivated mostly by problems arising in manufacturing and service industries. Later models have also been influenced by new developments in flexible manufacturing, computer systems and communication systems. Analogous problems arise, however, almost everywhere, and the number of various problem types is practically unlimited. Nevertheless, the resulting mathematical and computational problems often have the form of the following optimization problem: Given a finite number of jobs to be processed on a finite number of machines, find a feasible schedule that minimizes the value of a given objective function.

Keywords

Completion Time Feasible Schedule Schedule Period Precedence Graph Fuzzy Interval 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Jaroslav Ramík
    • 1
  • Milan Vlach
    • 2
    • 3
  1. 1.School of Business AdministrationSilesian UniversityKarvináCzech Republic
  2. 2.School of Information ScienceJapan Advanced Institute of Science and TechnologyIshikawaJapan
  3. 3.Faculty of Mathematics and PhysicsCharles UniversityPragueCzech Republic

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