Due-date setting methodologies based on simulated annealing—an experimental study in a real-life job shop

T. S. Raghu, C. Rajendran

Research output: Contribution to journalArticle

22 Scopus citations

Abstract

In this article we present a real-life study of a job shop manufacturing ball screws. The aim of the study is to suggest an efficient scheduling and due-date setting policy for the shop. Three different methodologies for setting parameter coefficients for due-date setting in a job shop are proposed. These methodologies are based on a search algorithm, simulated annealing algorithm, and a combination of simulated annealing algorithm and regression analysis. It is found that the combination of a simulated annealing algorithm with regression analysis provides better due-date estimates in minimizing the root mean square of lateness.

Original languageEnglish (US)
Pages (from-to)2535-2554
Number of pages20
JournalInternational Journal of Production Research
Volume33
Issue number9
DOIs
StatePublished - Sep 1995
Externally publishedYes

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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