標題: Development of a regression-based method with case-based tuning to solve the due date assignment problem
作者: Sha, D. Y.
Storch, R. L.
Liu, C. -H.
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: due date assignment;regression-based method;dynamic tuning
公開日期: 1-Jan-2007
摘要: Many regression-based methods to date have been proposed for solving the due date assignment (DDA) problem. The advantages of regression-based DDA methods are that they are easy to both put into practice and comprehend. However, relatively little scheduling research has focused on improving the performances of regression-based DDA methods. The performance of a regression-based DDA method could be improved if its values of regression coefficients could provide a more accurate and precise flowtime estimation for each individual job. The difficulty in doing this stems from the dynamic and stochastic nature of production environment that precludes accurate estimation. Therefore, the aim of this study is to suggest a particular methodology for setting the regression coefficients to improve the performance of regression-based DDA method. In particular, the regression-based DDA method achieved by our suggested methodology is able to adjust the values of coefficients dynamically to best predict the job due date based on the condition of the shop at the instant of job entry. To evaluate the robustness of the methodology, an experimental design was used with four regression coefficient determining procedures, two shop models, and three dispatching rules. The results of this investigation clearly indicate that significant improvements in the performance of regression-based DDA method can occur when the suggested methodology is used.
URI: http://dx.doi.org/10.1080/00207540500507435
http://hdl.handle.net/11536/11281
ISSN: 0020-7543
DOI: 10.1080/00207540500507435
期刊: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume: 45
Issue: 1
起始頁: 65
結束頁: 82
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