Due-date setting methodologies based on simulated annealing—an experimental study in a real-life job shop
作者:
T. S. RAGHU,
C. RAJENDRAN,
期刊:
International Journal of Production Research
(Taylor Available online 1995)
卷期:
Volume 33,
issue 9
页码: 2535-2554
ISSN:0020-7543
年代: 1995
DOI:10.1080/00207549508904830
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
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.
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