Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Dai, L. | Fan, L. | Sun, L.
Affiliations: Industrial Systems Engineering, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada | Computer Science, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada | Industrial Systems Engineering, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada
Abstract: Uncertainties and imprecise information regarding customer demands, production, inventory, and MRP are very common in performing aggregate production-planning (APP) for the manufacturing in real world. This study presents a fuzzy linear programming approach for managing the uncertainties and imprecise information involved in industrial APP applications. Detailed discussions are given to the establishment of the Fuzzy Linear Programming approach with converting the fuzzy constraints of uncertain and imprecise items into deterministic equivalents. A mathematical model is developed for APP practice with the Fuzzy Linear Programming approach. For numerically performing an aggregate production planning with the Fuzzy Linear Programming developed, a computer simulation for an actual aggregate production-planning is presented. It is demonstrated in the study, the employment of the Fuzzy Linear Programming provides a great advantage in APP of manufacturing, if the parameters of the stochastic factors involved in the production planning are neither definitely reliable nor precise. The present study shows that the interrelated effects of the customer service level and facility capacity on the effectiveness and efficiency of aggregate production-planning is significant and should be taken into account in performing an aggregate production-planning
Keywords: aggregate production-planning, fuzzy linear programming, manufacturing
Journal: Journal of Integrated Design & Process Science, vol. 7, no. 4, pp. 81-95, 2003
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl