Minimizing the total weighted flow time in a single machine with controllable processing times

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Abstract

The scheduling problem of a single machine with the minimum total weighted flow time criterion is extended to the case of allocating a continuously nonrenewable limited resource where the model of operations is assumed to be a specific convex function of the amount of resource consumed. The optimal resource allocation is obtained for any arbitrary job sequence. The computational complexity of the general problem remains an open question, but we present and analyze some special cases that are solvable by using polynomial time algorithms. An exact dynamic programming algorithm for small to medium size problems is suggested, while for large-scale problems we suggest some heuristic algorithms which appear to be very efficient.

Original languageEnglish
Pages (from-to)2279-2289
Number of pages11
JournalComputers and Operations Research
Volume31
Issue number13
DOIs
StatePublished - 1 Nov 2004

Keywords

  • Dynamic programming
  • Heuristics
  • Optimization
  • Resource allocation
  • Single-machine scheduling
  • Weighted flow time

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