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The concern about environmental impact of business activities has spurred an interest in designing environmentally conscious supply chains. This paper proposes a multi-objective fuzzy mathematical programming model for designing an environmental supply chain under inherent uncertainty of input data in such problem. The proposed model is able to consider the(More)
Measuring and controlling emissions across the logistics network is an important challenge for today’s firms according to increasing concern about the environmental impact of business activities. This paper proposes a bi-objective credibility-based fuzzy mathematical programming model for designing the strategic configuration of a green logistics network(More)
Most of supply chain and Hub location problems involve several conflicting objectives hence requiring a multi-objective formulation. Normally, Multi-objective approaches lead to the maximization of a weighted sum of score functions. Since normalizing these functions and quantifying the weights is not a straightforward process, such approaches are poor in(More)
Supplier selection is a multiple criteria decision making (MCDM) problem which is affected by several conflicting factors. In the business market of flaming competition in recent years, more attention has been paid to this problem. In this paper, a model is proposed in two phases. At first, suppliers are evaluated according to both qualitative and(More)
The importance of social responsibility of corporate and business units is increasingly emphasized by researchers and practitioners in recent years. Since supply chains play important roles in today’s business environment, the issue of social responsibility should be considered carefully when designing and planning of supply chains to move towards(More)
Previous studies report unusually high failure in ERP projects. Thus, it is necessary to perform an assessment at the initial stage of an ERP implementation program to identify weaknesses which may lead to project failure. In this paper, a new look at the determinants of organizational readiness to implement an ERP project is presented and using fuzzy(More)
ERP system selection is one of the most important steps in an ERP implementation program and is critical to the system success. Due to inherent complexity of ERP systems, diversity of available alternatives in the market and limitation in resources selecting an appropriate ERP project is a risky, difficult and time-consuming task for the organizations.(More)
Article history: Received June 6 2014 Received in Revised Format September 9 2014 Accepted October 2 2014 Available online October 3 2014 Recently, researchers have focused on how to minimize the negative effects of industrial activities on environment. Consequently, they work on mathematical models, which minimize the environmental issues as well as(More)
When a company implements a decision that does not create value for customers, its expenditure is a waste of resources. Waste can reduce the profitability of every business, thus power distribution companies should detect waste in their activities. When a company constructs the telecommunication and information infra structure of the smart grid or even a(More)