DocumentCode :
3170712
Title :
Coordinating order decisions for assemble-to-order enterprise with uncertainty in purchase lead time and demand order
Author :
Xiong, Yanhua
Author_Institution :
Dept. of Manage. Eng., Nanjing Agric. Univ., Nanjing, China
fYear :
2011
fDate :
8-10 Aug. 2011
Firstpage :
4591
Lastpage :
4596
Abstract :
Quick response for customer order with low cost is the key competitive factor for the contract manufacturer who assembles the customized capital device. We consider a problem for the contract manufacturer who receives forecast information from his customer before achieving the firm order. The firm order may be cancelled with some probability. The components have high probability of depreciation, they are all purchased for the current order. And the purchase lead times of the components are stochastic. The contract manufacturer must determine when to place the order for components. We present the total expected cost minimization model, including the components procurement costs, the holding cost, the tardiness penalty cost and the order cancellation cost. We establish structural properties of the optimal policy and prove that in some particular situation there is no need to purchase components before the order is confirmed. Numerical analysis illustrates how the model parameters affect the purchase lead times, the probability of delivery-on-time and total expected cost.
Keywords :
contracts; cost reduction; lead time reduction; order processing; probability; assemble-to-order enterprise; component procurement costs; contract manufacturer; customer order; customized capital device; delivery-on-time probability; demand order; depreciation probability; firm order; holding cost; numerical analysis; order cancellation cost; order decisions; purchase lead time; tardiness penalty cost; total expected cost minimization model; Analytical models; Assembly; Contracts; Procurement; Production; Timing; Uncertainty; assemble-to-order system; contract manufacturer; soft order; stochastic lead time;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
Type :
conf
DOI :
10.1109/AIMSEC.2011.6010425
Filename :
6010425
Link To Document :
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