Selection of Sustainable Suppliers Using the Fuzzy MARCOS Method (original) (raw)
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Sustainable supplier selection: A ranking model based on fuzzy inference system
Applied Soft Computing, 2012
In these days, considering the growth of knowledge about sustainability in enterprise, the sustainable supplier selection would be the central component in the management of a sustainable supply chain. In this paper the sustainable supplier selection criteria and sub-criteria are determined and based on those criteria and sub-criteria a methodology is proposed onto evaluation and ranking of a given set of suppliers. In the evaluation process, decision makers' opinions on the importance of deciding the criteria and sub-criteria, in addition to their preference of the suppliers' performance with respect to sub-criteria are considered in linguistic terms. To handle the subjectivity of decision makers' assessments, fuzzy logic has been applied and a new ranking method on the basis of fuzzy inference system (FIS) is proposed for supplier selection problem. Finally, an illustrative example is utilized to show the feasibility of the proposed method.
Business and Economics Research Journal, 2014
To meet the demands of various stakeholders and to comply with environmental legislations, businesses started to look at their supply chain to enhance their overall sustainability profile. Supply chain operations with sustainability awareness have become an important issue in recent years and make the sustainable supplier performance evaluation and selection process as a central concept of sustainable supply chain management. In this study, supplier selection problem is modelled within the context of sustainable supply chain based on the triple bottom line concept. This paper examined the problem of identifying best supplier based on sustainability principles for supplier selection operations in supply chains. Due to it’s multi-criteria nature, the sustainable supplier selection process requires an appropriate multi-criteria analysis and solution approach. Fuzzy TOPSIS method is applied for the performance evaluation and selection of an appropriate sustainable supplier of an energy ...
Supplier selection is considered as one of the most important decisions in supply chain. It has a significant effect on product costs. On the one hand, the importance of environmental protection has attracted the attention of different states, customers, and organizations and led to the consideration of the principles of environmental protection in manufacturing process. Since the major part of product components are outsourced, it is efficient to consider environmental criterion in supply chain. In this regard, the recent research aims at analyzing supplier selection using environmental criterion and decision making approach. The results indicate that people review purchase behavior as they increase their knowledge of the environment. Thus producers need to promote consumer green purchase behavior by identifying the drivers of consumer purchase performance, determining its effectiveness and finally modifying the role of environmental factors and service shortage modification.
OPSEARCH, 2017
Partner selection is a crucial problem in supply chain management in which it is essential today to integrate sustainability criteria due to regulation, stakeholder pressers and economic interests. Thus, a sustainability-focused evaluation model for partner selection is required in order to improve the overall performance of the supply chain. This paper develops a new hybrid approach to evaluate and select the partners (suppliers and 3PRL providers) in sustainable supply chain network by combining Fuzzy Analytic Hierarchy Process (F-AHP) with Fuzzy Preference Ranking Organization Method for Enrichment Evaluation (F-PROMETHEE), and Fuzzy Technique for Order Performance by Similarity to Ideal Solution (F-TOPSIS). A set of sustainability criteria for both supplier and 3PRL provider selection is proposed based on extensive literature review and experts' opinions. F-AHP is used to calculate the priority weight of each criterion. Then, F-PROMETHEE and F-TOPSIS are both used to rank the partners comparatively. The validity and efficacy of the proposed approach is demonstrated through an application for selecting partners in the case of light bulbs recycling which has been strengthened by sensitivity analysis.
ustainable supplier selection : A ranking model based on fuzzy inference system
2012
In these days, considering the growth of knowledge about sustainability in enterprise, the sustainable supplier selection would be the central component in the management of a sustainable supply chain. In this paper the sustainable supplier selection criteria and sub-criteria are determined and based on those criteria and sub-criteria a methodology is proposed onto evaluation and ranking of a given set of eywords: ustainable supplier selection upply chain management uzzy inference system suppliers. In the evaluation process, decision makers’ opinions on the importance of deciding the criteria and sub-criteria, in addition to their preference of the suppliers’ performance with respect to sub-criteria are considered in linguistic terms. To handle the subjectivity of decision makers’ assessments, fuzzy logic has been applied and a new ranking method on the basis of fuzzy inference system (FIS) is proposed for supplier selection problem. Finally, an illustrative example is utilized to s...
International Journal of Industrial Engineering and Management, 2021
Due to the globalization of competition in various fields, suppliers must have the best performance by creating different competitive advantages. In addition, the oil and gas industry has lots of sustainability issues in the supply phase. Accordingly, this study provides a comprehensive framework for ranking and selecting sustainable suppliers in the oil and gas industry. In this research, first, using the fuzzy analytical network process method, the indicators of selecting stable suppliers are ranked. Next, by applying the Electre method, the most appropriate suppliers are chosen. Numerical results show that the quality indicators of materials purchased from suppliers and commitment to contracts were ranked first and second among all criteria. Moreover, the efficiency of the proposed framework is approved by comparing with the real-world situation.
Selection of a Sustainable Supplier by Using a Fuzzy MCDM Mathematical Modelling
The primary objective of any business today is to remain competitive and sustainable so that it may continue operating profitably and efficiently. Therefore, in order to achieve the aforementioned goals, businesses must evaluate potential sustainable suppliers in light of the three pillars of sustainability (social responsibility, economic viability, and environmental friendliness). One example of an issue that requires multiple criterion decision-making (MCDM) is the challenge of finding sustainable suppliers. Fuzzy PROMETHEE, a method of multi-criteria decision making (MCDM) that utilizes triangular fuzzy numbers (TFNs) and linguistic concepts, is used in this study to establish the relative importance of three factors for choosing a sustainable supplier: social impact, economic viability, and environmental responsibility. Successful application of the fuzzy PROMETHEE method has allowed the organization's managers to arrive at the appropriate conclusion and implement the neces...
A Multi-Criteria Sustainability Measurement For Supplier Assessment Using Fuzzy AHP Approach
Purpose: Sustainability performance in supply chain has been recognized as competitive indicator for business. There are various existing approaches that organizations apply to evaluate supplier’s performance on sustainable supply chain management (sSCM). Traditionally, organizations consider criteria such as price, quality, flexibility, etc. when measuring supplier performance. While the articles on the selection and evaluation of suppliers are abundant, those that consider sustainability issues are rather limited. This paper explores sustainable supply chain initiatives and examines the problem of identifying an effective model based on the Triple Bottom Line (TBL) approach (economic, environmental, and social aspects) for supplier selection operations in supply chains. Design/methodology/approach: In this work a fuzzy analytical hierarchy process (FAHP) approach is employed for the supplier assessment problem. First the selection criterion according company’s objectives are deter...
International Journal of Sustainable Engineering, 2018
With the global increasing importance of sustainable development, sustainable supply chain has gained value among both researchers and industrialists in the last decade. Nowadays, industries are facing pressure from government legislation and the global competition in addition to the pressure from their clients to carry out environmentally-conscious actions. Thus, organisations are required to implement actions to enhance their level of both environmental and economic performances. Traditionally, organisations use criteria such as cost, quality and on-time delivery to evaluate their suppliers' performance. Although there have been numerous studies on the common criteria for these assessments, very few studies have taken sustainable criteria into consideration. Thereupon, this study tries to put forward a complete model for selection and evaluation of the suppliers, considering three criteria for sustainability, thus using the fuzzy group graph theory and matrix approach. It is an innovative approach based on fuzzy logic and group decision-making, which aims to treat lack of certainty in selection and evaluation of suppliers. We will also discuss a case study in the industry to demonstrate the effectiveness of our proposed approach.
International Journal of Services and Operations Management, 2017
Green supply chain management has become an important avenue in current business scenario. The concept of GSCM is to integrate environmental thinking into traditional supply chain management. A firm's sustainability performance is greatly influenced by appropriate supplier selection in the green supply chain context. In selecting appropriate green supplier, various green criteria need to be considered along with traditional supplier selection criteria. The decision making in the context of green supplier selection becomes much more complex due to involvement of subjective selection criteria. Subjective human judgment often bears ambiguity and vagueness in the decision making; whilst fuzzy set theory overcomes the challenges of imprecise and inconsistent human judgment in ambiguous decision environment. In this context, a decision making scenario in relation to green supplier selection has been articulated in this paper aiming to investigate the applicability of MULTIMOORA in fuzzy setting (F-MULTIMOORA). The ranking order of candidate suppliers has been compared to that of fuzzy-TOPSIS. Finally, an attempt has been made to determine a unique quantitative performance index for each of the green suppliers; based on which a ranking order has also been arrived.