Abstract
This paper presents a dual-objective facility programming model for a green supply chain network. The main objectives of the presented model are minimizing overall expenditure and negative environmental impacts of the supply chain. This study contributes to the existing literature by incorporating uncertainty in customer demand, suppliers, production, and casting capacity. An industrial case study is also analyzed to reveal the feasibility of the proposed model and its application. A fuzzy approach which is known as TH is used to solve the suggested dual-objective model. TH approach is integration of a max–min method (LH) and modified version of Werners’ approach (MW). The outcome of this study reveals that the presented model can support green supply chain network in different levels of uncertainty. In presented model, cost and negative environmental impacts derived from the supply chain network will increase of higher levels of uncertainty.
Highlights
Issues regarding pollution and environmental contamination are seriously considered in the supply chain systems
This paper presents a dual-objective facility programming model for a green supply chain network
The outcome of this study reveals that the presented model can support green supply chain network in different levels of uncertainty
Summary
Issues regarding pollution and environmental contamination are seriously considered in the supply chain systems. This paper aims to develop a novel bi-objective model for deigning a green supply chain network within steel industry by considering different level of uncertainties The novelty of this model is that it attempts to respond to the one of the research gaps in the field of supply chain management for steel industries, which is the minimization of environmental effects, by applying a unique hybrid solution for dual-objective optimization model, so that it can consider the uncertain parameters as well as the environmental effects on the steel manufacturing supply chain network. Customer service points are fixed and predetermined; Supply chain parameters such as customer demand, production, transportation, and purchase costs as well as capacity of production facilities and suppliers are uncertain This problem tends to identify the number and optimal sites of manufacturing facilities and determine optimal value of product flow between them in order to minimize overall cost of the supply chain network and minimize environmental effects.
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