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Showing 2 results for Sustainable Supply Chain
A Game Theoretic Approach for Greening, Pricing, And Advertising Policies in A Green Supply Chain
Ali Borumand, Morteza Rasti-Barzoki,
Volume 30, Issue 3 (9-2019)
Abstract
In this paper, greening, pricing, and advertising policies in a supply chain will be examined with government intervention. The supply chain has two members. First, a manufacturer seeking to determine the wholesale price and the greening level and second, a retailer that has to determine the advertising cost and the retail price. The government is trying to encourage the manufacturer to green the production using subsidies. Using the game theory, at first, the demand function and the profit functions of both members are introduced, then in a dynamic game, their Stackelberg equilibrium is calculated. Sensitivity and parameter analysis are made to more illustration of the problem. We found the supply chain profit function behavior and results show that if the sensitivity of demand-price is less than a specific value, the manufacturer will not participate in greening policies.

 
Multi-objective fuzzy programming model to design a sustainable supply chain network considering disruption
Roza Babagolzadeh, Javad Rezaeian, Mohammad Valipour Khatir,
Volume 31, Issue 2 (6-2020)
Abstract
Sustainable supply chain networks have attracted considerable attention in recent years as a means of dealing with a broad range of environmental and social issues. This paper reports a multi-objective mixed-integer linear programming (MILP) model for use in the design of a sustainable closed loop supply chain network under uncertain conditions. The proposed model aims to minimize total cost, optimize environmental impacts of establishment of facilities, processing and transportation between each level as well as social impacts including customer satisfaction. Due to changes in business environment the uncertainty existed in the research problem, in this paper the chance constrained fuzzy programming approach applied to cope with uncertainties in parameter of the proposed model. Then the proposed multi-objective model solves as single-objective model using LP-metric method.
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