DocumentCode
2328397
Title
Study on Order Allocation for Promoting Industrial Cluster´s Load Balance
Author
Wang, Chen ; Li Guofu ; Ye Feifan
Author_Institution
Fac. of Eng., Ningbo Univ., Ningbo, China
fYear
2009
fDate
23-24 May 2009
Firstpage
1
Lastpage
5
Abstract
The status quo of enterprises\´ load imbalance in most clusters makes the economical function of the clusters far under the level which them should have. In order to improve the function, it is necessary to carry out working procedures, parts, components and products\´ order allocation in clusters. At present, there is no an effective and mature method of order allocation for enterprises in a cluster, and enterprise being overload is always because of bottleneck working procedures are overload. Therefore based on working procedures outsourcing, the author puts forward an outsourcing process model for enterprises in a cluster-collaborative order obtaining model (COOM). The model includes two sub-models. First one is outsourcing decision-making, and the second is order allocation process model. UCM is used as describing language of the model. The first sub-model is used for enterprise to decide the outsourcing types and volume of each type. The second is used for enterprise to select proper outsourcers and determine the order allocation volumes. The "information match" is used as the decision-making method for order allocation. In the end, a case is used to prove the feasibility of the model.
Keywords
decision making; industrial economics; order processing; outsourcing; resource allocation; cluster-collaborative order obtaining model; economical function; industrial cluster load balance; information matching; outsourcing decision-making; product order allocation; Collaboration; Cost function; Decision making; Industrial economics; Manufacturing industries; Mixed integer linear programming; Outsourcing; Production; Productivity; Virtual manufacturing;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Business and Information System Security, 2009. EBISS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-2909-7
Electronic_ISBN
978-1-4244-2910-3
Type
conf
DOI
10.1109/EBISS.2009.5138088
Filename
5138088
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