Green Supplier Evaluation and Selection in Apparel Manufacturing Using a Fuzzy Multi-Criteria Decision-Making Approach

Guo, Zhaoxia; Liu, Haitao; Zhang, Dongqing; Yang, Jianxun

doi:10.3390/su9040650

Cited by 88 publications

(35 citation statements)

References 63 publications

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“…Supplier selection problem is considered as a multi-criteria decision making (MCDM) problem [24][25][26][27] because of its complex, multi-criteria, and unstructured characteristics. The main methods to solve these problems include: analytic hierarchy process (AHP) [28][29][30], analytical network method (ANP) [31,32], data envelopment analysis (DEA) [19,33], approximate ideal solution sequencing (TOPSIS) [34][35][36][37], genetic algorithm (GA) [38], fuzzy set theory (FST) [39,40], and their mixed, such as AHP-DEA [41].…”

Section: Supplier Selection Methodsmentioning

confidence: 99%

Maintenance Supplier Evaluation and Selection for Safe and Sustainable Production in the Chemical Industry: A Case Study

Tong

2019

Sustainability

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Chemical industry plays a pivotal role in the economy in every country. As chemical hazardous materials are usually characterized as inflammable, explosive, toxic, corrosive, and carcinogenic, if accidents happen in chemical company it can lead to irreversible environmental and health damage to the public. The chemical industry attaches great importance to safe production, technical professionalism, and service standardization. Nowadays, under the trend of equipment maintenance service outsourcing in chemical companies, the selection of maintenance suppliers with safe and sustainable records come first and foremost in the supplier selection process. However, these concerns from the chemical industry are currently inadequately addressed by most general supplier selection models. Therefore, this paper proposes an applicable methodology for selecting and evaluating equipment maintenance suppliers in the chemical industry, compatible with a safe and sustainable production context. To achieve the goal of “safe operation and sustainable development in the future”, we established an evaluation criteria framework for equipment maintenance suppliers by combining the general supplier selection criteria and safe production characteristics together. Eight main criteria and 24 sub-criteria based on market acceptance, resource conditions, and safe production were included. Then a fuzzy TOPSIS model was presented to select the best equipment maintenance service supplier. Finally, by analyzing a case in W petrochemical company, the empirical results indicate that the proposed framework is of great practical value to select and evaluate equipment maintenance suppliers for safety and sustainable development in the chemical industry.

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Section: Supplier Selection Methodsmentioning

confidence: 99%

Maintenance Supplier Evaluation and Selection for Safe and Sustainable Production in the Chemical Industry: A Case Study

Tong

2019

Sustainability

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“…Therefore, it will be difficult to weight these criteria by using traditional MCDM methods such as AHP, ANP, DEA and TOPSIS [5,14,17,31]. BWM is chosen to overcome the computational complexity of the existing methods.…”

Section: Weighting Of the Risk Criteria By Using Best-worst Methodsmentioning

confidence: 99%

“…In recent years, researchers and practitioners started to integrate new dimensions such as sustainability, green practices and risk into the supplier evaluation process [3,5,9,11]. Especially, the use of intangible and qualitative factors has increased: e.g., supplier relationships, reputation of the company, risk, level of trust, communication, and corporate social responsibility [4,15,30,50].…”

Section: Supply Risk Issue In Supplier Evaluation and Selectionmentioning

confidence: 99%

“…Hence, evaluation and selection of suppliers is one of the most critical strategic decisions for developing a competitive and sustainable organization [2]. Nowadays, supplier selection problem incorporates approaches from different disciplines and goes beyond traditional cost minimization and profit maximization objectives [3][4][5]. Especially a growing number of researchers started to incorporate risk minimization objective into this problem [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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Supplier Risk Assessment Based on Best-Worst Method and K-Means Clustering: A Case Study

Kara¹,

Fırat²

2018

Sustainability

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Supplier evaluation and selection is one of the most critical strategic decisions for developing a competitive and sustainable organization. Companies have to consider supplier related risks and threats in their purchasing decisions. In today's competitive and risky business environment, it is very important to work with reliable suppliers. This study proposes a clustering based approach to group suppliers based on their risk profile. Suppliers of a company in the heavy-machinery sector are assessed based on 17 qualitative and quantitative risk types. The weights of the criteria are determined by using the Best-Worst method. Four factors are extracted by applying Factor Analysis to the supplier risk data. Then k-means clustering algorithm is applied to group core suppliers of the company based on the four risk factors. Three clusters are created with different risk exposure levels. The interpretation of the results provides insights for risk management actions and supplier development programs to mitigate supplier risk.

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“…Shen and Li [14] analyze the effects of the return policies, which bring about leftovers on the sustainability of a fashion supply chain. Guo et al [15] adopt a fuzzy multi-criteria decision-making approach to evaluate the green supplier. Based on a case study in China, He et al [16] discuss the development of low-carbon logistics.…”

Section: Literature Reviewmentioning

confidence: 99%

Economic Performance and Emission Reduction of Supply Chains in Different Power Structures: Perspective of Sustainable Investment

et al. 2018

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Environmental issues have increasingly received attention in both industry and academia. Many firms have started to make sustainable investments, such as adopting the pollution-abatement technologies, to reduce carbon emissions. To investigate the impacts of the sustainable investment on firms' profit and emission reduction, we consider supply chains with uncertain demand in different power structures. Specifically, we examine the sustainable investment problem in three supply chain power structures, i.e., manufacturer Stackelberg (MS) power structure, vertical Nash (VN) power structure and retailer Stackelberg (RS) power structure. We first derive the optimal decisions for both the retailer and manufacturer in each power structure. Then, by comparing the results in the three power structures, we find that the manufacturer gets benefits from making the sustainable investment, especially in unequal power structures. When the average market size is large (small) enough, both of the supply chain members obtain more profits in the MS (RS) power structure. From an environmental perspective, we find that the emission reduction is more significant in sequential games (i.e., MS and RS power structures) than that in a simultaneous game (i.e., VN power structure). In addition, we conduct some numerical studies and discuss more managerial insights in the paper.

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Green Supplier Evaluation and Selection in Apparel Manufacturing Using a Fuzzy Multi-Criteria Decision-Making Approach

Cited by 88 publications

References 63 publications

Maintenance Supplier Evaluation and Selection for Safe and Sustainable Production in the Chemical Industry: A Case Study

Maintenance Supplier Evaluation and Selection for Safe and Sustainable Production in the Chemical Industry: A Case Study

Supplier Risk Assessment Based on Best-Worst Method and K-Means Clustering: A Case Study

Economic Performance and Emission Reduction of Supply Chains in Different Power Structures: Perspective of Sustainable Investment

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