SIA OpenIR  > 数字工厂研究室
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)
Department数字工厂研究室
Source PublicationInternational Journal of Modelling, Identification and Control
ISSN1746-6172
2013
Volume20Issue:3Pages:242-252
Indexed ByEI
EI Accession number20134316902014
Contribution Rank1
KeywordAdenosinetriphosphate Automobile Manufacture Genetic Algorithms Monte Carlo Methods Production Engineering Sales Stochastic Programming Uncertainty Analysis
AbstractFor 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.
Language英语
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/13946
Collection数字工厂研究室
Corresponding AuthorSun DC(孙德厂)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Science, No. 114 Nanta Street, Shenyang 110016, China
2.University of the Chinese Academy of Science, No. 19A Yuquan Road, Beijing 100049, China
Recommended Citation
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
Using Stochastic Pro(268KB)期刊论文出版稿开放获取ODC PDDLView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Sun DC(孙德厂)]'s Articles
[Shi HB(史海波)]'s Articles
[Han ZH(韩忠华)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Sun DC(孙德厂)]'s Articles
[Shi HB(史海波)]'s Articles
[Han ZH(韩忠华)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Sun DC(孙德厂)]'s Articles
[Shi HB(史海波)]'s Articles
[Han ZH(韩忠华)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Using Stochastic Programming on ATP CTP under Uncertainty ATO Environment.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.