A Fuzzy Multi-Criteria Group Decision Making Model for Measuring Risks in a Supply Chain Using Extended VIKOR Method

Abstract

In this paper, we quantify risks in a supply chain process from an aviation's perspective. Due to globalization, supply chains are getting more and more risky than before. As risk is inherent and uncertain activity, if it occurs then all of the supply chain partners will be impacted with a significant loss. To deal with this problem, a comprehensive risk evaluation index system has been proposed, which captures the level of risk faced by a supply chain in a given situation. For measuring risks in a supply chain we formulated a fuzzy multi-criteria group decision making model based on extended VIKOR method to determine the best feasible solution according to the selected risk parameters. A practical case study is conducted to test the applicability of the proposed methodology. Finally, we discuss the effectiveness of the proposed framework and rank the risk alternatives in descending order.

Designing automotive products for remanufacturing from a material selection perspective using the VIKOR method

“…Fuzzy VIKOR Following are the different steps of the method [19] To quantify the Risks in supply chain, selected Best possible solution according to risk parameters Based on extended VIKOR method to determine Fuzzy multi-level group decisionmaking with We created the model. Of the proposed a practical case to test applicability Research is being conducted method [20] 3 shows the Sj, Rj, Qj by using the previous tabulation it is the sum of the value. Sj and Rj using the S+ R+ Minimum formula, S-R-Maximum formula.…”

Performance Analysis of Memetic algorithm Using VIKOR Method

“…Reorientation operators or local search engines can be used for other problems amenable to permutation-based representations, such as scheduling problems. [9] MAGS is embedded for attribute selection Based on approach, this Closer to the classification selection process related to The strength of MAGS is that it is a specific crossover operator and a dedicated local search procedure Relying on synergy created by combining, these Both are guided by SVM related information. [10] Particle Swarm Optimization Algorithm and Pattern Search By combining, a to optimize the parameters of SVMs An Efficient BSOPS-Based Memetic Algorithm proposed.…”

“…Then, the joint interval is valued Intuitive Ambiguous decision matrix and MAGDM traditional VIKOR Problems based on formal interval value resolve calculation steps Intuitive fuzzy estimators and marginally Known weight information is provided. [9] The VIKOR method is the conflicting criteria and Conflicting criteria are final for decision maker's unique multi criteria while helping to arrive at a decision An MCDM method for solving the problem. [10] Normalization technique for decision makers, optimal and optimal TECHNIQUE AND TOPSIS FOR CALCULATING RESISTANCE SOLUTIONS Distance measurement and VIKOR used for Method Maximum Group Utility Strategy (v) weight for method and can be selected.…”