Paper Info
Title
Multi-objective multi-product multi-site aggregate production planning in a supply chain under uncertainty: fuzzy multi-objective optimisation
Abstract
AbstractThe existing technology is advancing into specialisation and globalisation. To survive in global competition, manufacturers should be responsible to consumer demands in different situations that are possible through efficient production planning. Due to the interaction of manufacturing components with each other, supply chain SC planning is an efficient approach. The sensitivity of such planning will be increased when a manufacturer is faced with fluctuations in demands. This article presents a mathematical model for production planning in a SC under demand uncertainty and solves it by a fuzzy multi-objective optimisation method. This model is formulated as multi-objective mixed-integer non-linear programming with conflicting objective functions. To release the sensitivity or different reactions of the system in terms of diverse uncertainty values, fuzziness is also considered in the inequalities of a constraint that includes an uncertain demand. The proposed method converts the non-linear model to the linear one and then transforms the fuzzy model to the parametric deterministic model. To show the effectiveness and validity of the presented model, a case study is carried out and the results obtained from GAMS software are shown. Finally, the conclusion is provided.
Year
DOI
Venue
2016
10.1080/0951192X.2014.1002811
Periodicals
Keywords
Field
DocType
aggregate production planning, supply chain, fuzzy multi-objective mathematical programming, uncertainty
Aggregate planning,Economics,Mathematical optimization,Fuzzy logic,Operations research,Multi product,Software,Parametric statistics,Production planning,Supply chain,Deterministic system
Journal
Volume
Issue
ISSN
29
2
0951-192X
Citations 
PageRank 
References 
6
0.47
23
Authors
3
Name
Order
Citations
PageRank
Navid Gholamian1171.38
Iraj Mahdavi238832.30
Reza Tavakkoli-Moghaddam358572.31