An efficient two-phase algorithm for cyclic days-off scheduling

Hesham K. Alfares*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

48 Scopus citations

Abstract

An efficient two-phase algorithm is presented for solving the cyclic manpower days-off scheduling problem with two consecutive off days per week. First, a simple formula is used to calculate the minimum workforce size. Next, this minimum is incorporated as a constraint in a continuous linear programming (LP) model of the problem, ensuring an optimum integer solution. The new algorithm can handle the case in which the costs of different days-off patterns are not equal. Computational experience with 1250 test problems shows this algorithm to be significantly more efficient than other available solution methods.

Original languageEnglish
Pages (from-to)913-923
Number of pages11
JournalComputers and Operations Research
Volume25
Issue number11
DOIs
StatePublished - 1 Nov 1998

Keywords

  • Integer programming
  • Labor scheduling
  • Optimization algorithms

ASJC Scopus subject areas

  • General Computer Science
  • Modeling and Simulation
  • Management Science and Operations Research

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