DocumentCode
2100099
Title
Based on Capacity Planning of Order Selection Decision Model in Make-to-Order Enterprises
Author
Wang, Chao
Author_Institution
Sch. of Manage., Wuhan Univ. of Technol., Wuhan, China
fYear
2009
fDate
20-22 Sept. 2009
Firstpage
1
Lastpage
5
Abstract
This paper addresses an order selection decision model in a make-to-order operation environment based on the short-term capacity-planning problem. Make-to-stock and make-to-order are two generic operation modes commonly used in the manufacturing world. The make-to-order enterprise makes the production systems to produce a product only after it is ordered. The enterprise must decide which orders can be accepted to get the optimal profit and meet the due time. This paper addresses a order selection decision model in a make-to-order operation environment. The mathematical model is proposed to select a set of customer orders to maximize the operational profit such that all the selected orders are fulfilled by their deadline. With a given capacity limit on each resource type and its cost rate, solving this model leads to an optimal production mix for the orders over a given time horizon. The conclusion shows that it is not a optimal choice to accept all customer´s orders although they can be produced before deadline. This paper tells the enterprise how to select the order selection according to the cost and production capacity planning.
Keywords
capacity planning (manufacturing); customer services; decision theory; manufacturing systems; order processing; customer orders; make-to-order enterprise; make-to-stock enterprise; operational profit; optimal production mix; order selection decision model; production capacity planning; production systems; Capacity planning; Chaos; Environmental management; Job shop scheduling; Manufacturing; Paper technology; Production; Subcontracting; Technology management; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4638-4
Electronic_ISBN
978-1-4244-4639-1
Type
conf
DOI
10.1109/ICMSS.2009.5302051
Filename
5302051
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