A Green Supply Chain Production Planning Model of Multi-objective under Uncertain Environment

doi:10.3969/j.issn.1007-7375.e17-1200

Abstract

Abstract: In recent years, the industrial environmental pollution problems and the difficulties in the operation of the green supply chain in manufacturing industry have been attracting more and more attention. Distributors' demand, production capacity, cost and transportation parameters such as interval numbers, the minimum total cost of supply chain, the shortest response time and the least carbon emissions as the goal are all considered so as to build a green supply chain production planning model with multiple transport modes, factories and distributors in an uncertain environment. The interval order relation and the interval possibility definition are used to give the clear equivalent form of the uncertain model, and the multi-objective programming method is used to solve the model. Finally, the example is analyzed to ensure the possible level and interval rate to influence the decision-making of enterprises. The research shows that when the probability level is low or the interval parameter change rate is high, the production conditions will become more extensive, which will help enterprises to reduce the total cost of supply chain.

Key words: green supply chain, multi-objective, goal programming

CLC Number:

F272.2

QU Meng, ZHU Bin, WANG Bingyong, HE Li. A Green Supply Chain Production Planning Model of Multi-objective under Uncertain Environment[J]. Industrial Engineering Journal , 2018, 21(1): 43-50.

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