Maximizing the weighted number of just-in-time jobs in a distributed flow-shop scheduling system

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Abstract

We study a set of scheduling problems in a distributed flow-shop scheduling system consisting of several flow-shop production systems (factories) working in parallel. Our objective is to assign the jobs to the factories, and to devise a job schedule for each of the factories such that the weighted number of jobs completed in just-in-time mode is maximized. We classify computational complexity of the problems, including the special cases of unit weights and job- or machine-independent processing times.

Original languageAmerican English
Pages (from-to)274-283
Number of pages10
JournalNaval Research Logistics
Volume70
Issue number3
DOIs
StatePublished - 1 Apr 2023

Keywords

  • NP-hardness
  • distributed flow-shop
  • just-in-time scheduling
  • pseudo-polynomial time algorithm

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Ocean Engineering
  • Management Science and Operations Research

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