Using stochastic programming on ATP/CTP under uncertain ATO environment

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	Using stochastic programming on ATP/CTP under uncertain ATO environment
	Sun DC(孙德厂); Shi HB(史海波); Han ZH(韩忠华); Liu C(刘昶)
刊名	International Journal of Modelling, Identification and Control
	2013
卷号	20 期号:3 页码:242-252
关键词	Adenosinetriphosphate Automobile manufacture Genetic algorithms Monte Carlo methods Production engineering Sales Stochastic programming Uncertainty analysis
ISSN号	1746-6172
产权排序	1
中文摘要	For the companies adopting assemble-to-order (ATO) production strategy, providing accurate and reliable order promising is an important issue especially subject to the uncertainty. The ATO production system has the following characteristics. There are no finished goods in the strict sense. Inventory is holding at component level. The material and capacity planning is driven by the sales forecasting. Assembly scheduling is driven by the customer orders. We reviewed the existing order-promising researches which are mostly determined by the environment. In the base of analysis the influence mechanism of uncertainty and available-to-promise/capable-to-promise (ATP/CTP) allocation approach, we establish a stochastic dependent-chance programming model considering the available resources which are fluctuant. The objective is to maximise the chance of acceptance of the orders as much as possible. This means higher utilisation of assembly capacity. The available amount of resources obeyed some kind of common distribution. We develop a hybrid genetic algorithm (HGA) for solving the stochastic programming model; the main steps are chance function construction, Monte Carlo simulation, neural network approach and genetic algorithm (GA). We implement the model and algorithm in an automobile manufacturer, the uncertainty variables are fitted using historical data. The experiment result verified that the model and solver are valid. Copyright © 2013 Inderscience Enterprises Ltd.
收录类别	EI
语种	英语
公开日期	2013-12-26
内容类型	期刊论文
源URL	[http://ir.sia.cn/handle/173321/13946]
专题	沈阳自动化研究所_数字工厂研究室
推荐引用方式 GB/T 7714	Sun DC,Shi HB,Han ZH,et al. Using stochastic programming on ATP/CTP under uncertain ATO environment[J]. International Journal of Modelling, Identification and Control,2013,20(3):242-252.
APA	Sun DC,Shi HB,Han ZH,&Liu C.(2013).Using stochastic programming on ATP/CTP under uncertain ATO environment.International Journal of Modelling, Identification and Control,20(3),242-252.
MLA	Sun DC,et al."Using stochastic programming on ATP/CTP under uncertain ATO environment".International Journal of Modelling, Identification and Control 20.3(2013):242-252.