DocumentCode :
2533928
Title :
Green supplier selection and order allocation using an integrated fuzzy TOPSIS, AHP and IP approach
Author :
Hamdan, Sadeque ; Cheaitou, Ali
Author_Institution :
Ind. Eng. & Eng. Manage., Univ. of Sharjah, Sharjah, United Arab Emirates
fYear :
2015
fDate :
3-5 March 2015
Firstpage :
1
Lastpage :
10
Abstract :
This paper proposes a model to solve an integrated green supplier selection and order allocation multi-period problem. The model consists of three stages; first stage uses fuzzy TOPSIS to rank and assign preference weights to a set of traditional and green criteria. Moreover, in the second stage, the criteria are grouped into two subsets, traditional and green, and then AHP is used to assign importance weights to each subset. The outputs of the first and second stage are used as an input for a bi-objective optimization model. The model assumes a deterministic demand. It also allows for shortage while ensuring that total demand will be satisfied at the end of the planning horizon even if with some delay. Comprehensive Criterion Method (CCM) is adopted to solve the bi-objective optimization and LINGO software is used to find the optimal solution.
Keywords :
TOPSIS; analytic hierarchy process; environmental factors; integer programming; order processing; supply chain management; AHP; IP approach; LINGO software; analytic hierarchy process; biobjective optimization; comprehensive criterion method; green supplier selection; integer programming; integrated fuzzy TOPSIS; order allocation; technique for order of preference by similarity to ideal solution; Analytic hierarchy process; Green products; Linear programming; Mathematical model; Planning; Pragmatics; Resource management; green; multi-criteria decision making; optimization; order allocation; planning; supplier selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Operations Management (IEOM), 2015 International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4799-6064-4
Type :
conf
DOI :
10.1109/IEOM.2015.7093826
Filename :
7093826
Link To Document :
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