An optimization model for the order dispatching problem in distributed production environment

In distributed production environment, products manufacturing may be strategically distributed worldwide. This paper studies an important problem of order management in the distributed production environment: order dispatching problem (ODP). A mathematical model is developed to describe the problem,...

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Bibliographic Details
Published in2011 Chinese Control and Decision Conference (CCDC) pp. 1444 - 1449
Main Authors Qing Wang, Shu-an Liu, Bin Gao, Dingwei Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2011
Subjects
Artificial neural networks
Dispatching
Distributed Production
Manufacturing
Mathematical model
Neural Network
Neurons
Order management
Production
Transportation
Virtual Enterprise
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Summary:In distributed production environment, products manufacturing may be strategically distributed worldwide. This paper studies an important problem of order management in the distributed production environment: order dispatching problem (ODP). A mathematical model is developed to describe the problem, which assigns orders to manufacturers subject to a set of objectives and constraints (i.e., profits, transportation costs and usage rate of parts inventory). A neural network with heuristic mechanism is designed to solve the model. The embedded heuristic mechanism can make the solutions converge faster and obtain better results as well. The computation results show that the heuristic NN can find satisfactory solution of ODP in acceptable time so as to make order management in distributed production environment effective and efficient.
ISBN:9781424487370
1424487374
ISSN:1948-9439
DOI:10.1109/CCDC.2011.5968419