期刊
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
卷 128, 期 1, 页码 136-143出版社
ELSEVIER
DOI: 10.1016/j.ijpe.2010.06.007
关键词
Fuzzy mathematical programming; Supply chain; Production planning; Uncertainty modelling; Fuzzy sets
资金
- Spanish Ministry of Science and Technology [DPI2004-06916-C02-0, DPI2007-65501]
- Universidad Politecnica de Valencia [PAID-05-08/3720]
The main focus of this work is to prove the effectiveness of a fuzzy mathematical programming approach to model a supply chain production planning problem with uncertainty in demand. A fuzzy optimization model that takes into account the lack of knowledge in market demand is developed. This work uses an approach of possibilistic programming. Such an approach makes it possible to model the epistemic uncertainty in demand that could be present in the supply chain production planning problems as triangular fuzzy numbers. The emphasis is on obtaining more knowledge about the impact of fuzzy programming on supply chain planning problems with uncertain demand. (C) 2010 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据