期刊:Journal of the Franklin Institute ISSN:00160032 , 年:2015 . 卷:352 . 期:9 页码:3873-3884
语种:
English
原文链接:http://doi.org/10.1016/j.jfranklin.2015.01.021
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- 摘要
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In collaborative logistics network (CLN) models, the uncertainty of supply often occurs during the resource matching process due to the fact that each individual cooperative enterprise tries to maximize its own operating profit. This paper presents a bi-level programming model which can reduce or eliminate the adverse effects of supply uncertainty in CLN resource matching process. By adding the robust constraints, this model reduces both the frequency and the cost of resource planning changes, which lead to increasing stability of CLN operation. Based on the particular form of the model, a new algorithm combined by Monte Carlo method (MCM) and particle swarm optimization (PSO) is proposed. Results from example analysis demonstrate the effectiveness of the proposed model and algorithm. © 2015 The Franklin Institute.
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关键词
Bilevel programming models - Collaborative logistics networks - Cooperative enterprise - Model and algorithms - Operating profit - Resource matching - Resource planning - Supply uncertainty
- 作者信息
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通讯作者:
Zhang, Wei
作者机构:
[1]
School of Economics and Management, China University of Petroleum, Qingdao, China
[2]
Harbin Instits. of Technology, School of Management, Harbin, China
[3]
School of Finance, Hubei University of Economics, Wuhan, China
