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A Load‐based and Due‐date‐oriented Approach to Order Review/Release in Job Shops *
Author(s) -
Sabuncuoglu I.,
Karapinar H. Y.
Publication year - 2000
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.2000.tb01629.x
Subject(s) - job shop , computer science , measure (data warehouse) , order (exchange) , function (biology) , control (management) , production (economics) , mathematical optimization , operations research , industrial engineering , data mining , artificial intelligence , mathematics , flow shop scheduling , job shop scheduling , engineering , embedded system , macroeconomics , finance , evolutionary biology , biology , economics , routing (electronic design automation)
In this paper, a new order review/release (ORR) method is proposed for shop floor control systems. The proposed method utilizes both job due date and shop load information to improve the effectiveness of the ORR function in production systems. The performance of the new method is compared to those of a few well‐known ORR methods under four experimental conditions. The results of extensive simulation experiments indicate that the proposed method is superior with respect to the mean absolute deviation measure. In general, it is also better than existing methods for the other performance measures. Furthermore, we show that the proposed method is more robust to variations in system load and processing times than the other ORR methods examined.