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

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

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Article ID: iaor1996152
Country: United Kingdom
Volume: 33
Issue: 9
Start Page Number: 2535
End Page Number: 2554
Publication Date: Sep 1995
Journal: International Journal of Production Research
Authors: ,
Keywords: optimization: simulated annealing
Abstract:

In this article the authors 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.

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