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:: Search published articles ::
Showing 3 results for Fuzzy Ahp

Muhammad Nazam, Jiuping Xu, Zhimiao Tao, Jamil Ahmad, Muhammad Hashim,
Volume 2, Issue 1 (5-2015)
Abstract

In the emerging supply chain environment, green supply chain risk management plays a significant role than ever. Risk is an inherent uncertainty and has tendency to disrupt the typical green supply chain management (GSCM) operations and eventually reduce the success rate of industries. In order to mitigate the consequences, a fuzzy multi-criteria group decision making modeling (FMCGDM) which could evaluate the potential risks in the context of (GSCM) is needed from the industrial point of view. Therefore, this research proposes a combined fuzzy analytical hierarchy process (AHP) to calculate the weight of each risk criterion and sub-criterion and technique for order performance by similarity to ideal solution (TOPSIS) methodology to rank and assess the risks associated with implementation of (GSCM) practices under the fuzzy environment. The proposed fuzzy risk-oriented evaluation model is applied to a practical case of textile manufacturing industry. Finally, the proposed model helps the researchers and practitioners to understand the importance of conducting appropriate risk assessment when implementing green supply chain initiatives.
Mohsen Sadegh Amalnick, Mehdi Hakimiasl, Farbod Zorriassatine, Alireza Hakimiasl,
Volume 3, Issue 2 (8-2016)
Abstract

In the previous decade, fossil energy resources shortage and environmental challenges such as air and water pollution, global warming, and greenhouse-gas emissions, etc. have increased environmental concerns considerably. Since, one of the most practical and useful solutions to decrease environmental pollutants is to deploy green purchasing and clean energies by organizations or even governments. Thus, the construction of renewable-energy power plants and, consequently, the green supplier selection for these plants’ equipment has become more important. With this respect, this article presents a novel approach to assess and select green suppliers of a solar power plant. The proposed approach integrates Fuzzy Analytic Hierarchy Process and VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) methodologies. The results demonstrate the efficiency of the proposed approach as a practical tool to assist managers and CEOs (Chief Executive Officers) of electric power industry in assessing suppliers of solar power plant’s equipment.
Mehrdad Nouri Koupaei, Mohammad Ali Sobhanallahi, Amir Horri,
Volume 3, Issue 4 (2-2015)
Abstract

Determining strategy, as a very effective tool for policy (and especially science and technology policy), helps governments to be able in the challenges such as globalization and increased competition, and have an appropriate respond in the world today. Although some scattered researches about strategy determining have been conducted in Iran, the purpose of them is to recognize the future of IT and determine a framework for strategy determining. This paper examines the situation of Iran in IT. First, according to the techniques of the strategy formulation, the most important internal and external factors have been identified, then using matrix strengths, weaknesses, opportunities and threats, the organizational strategies have been developed. Fuzzy ANP Methods were used for quantitative analysis. The results were calculated using the Expert Choice Software. Statistical community of this study will be including the experts in the field collected among 400 experts. According to the results, the best strategy for implementation ST Strategy. Therefore, some strategies should be considered such as: Explicit decisions to expand or change of research program, selecting an independent organization as trustee of futures studies projects, explicit decisions to expand or change of research program, definition and implementation of future studies for appropriate infrastructure.

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International Journal of Supply and Operations Management International Journal of Supply and Operations Management
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