Green supply chain management practices and third-party logistics providers’ performances: A fuzzy-set approach

Stekelorum, Rébecca; Laguir, Issam; Gupta, Shivam; Kumar, Sameer

doi:10.1016/j.ijpe.2021.108093

Cited by 70 publications

(37 citation statements)

References 63 publications

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“…The above results have proved that product design, supplier design, and customer relationships have tremendous impacts on sustainable performance. The positive effects of GSCM on sustainable performance are because of the impact of process and supplier relationships (Stekelorum et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

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Mediating Role of Green Supply Chain Management Between Lean Manufacturing Practices and Sustainable Performance

et al. 2022

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Manufacturing companies in today's industrial world are seeking to use the new manufacturing process methods. The primary goal of corporations is to achieve optimum production while deploying minimal capital. The fundamental purpose of this study is to examine the influence of various lean manufacturing practices on the sustainability performance of companies and the mediating role of green supply chain management (GSCM). The data was gathered using questionnaires from 250 Pakistani manufacturing firms and analyzed using AMOS 25. Results demonstrate that process and equipment, product design, supplier relationships, and customer relationships significantly affect sustainable performance. It is also recognized that Green Supply Chain Management mediates the interaction between HR processes, product design, supplier relationship, customer relationship, and environmental performance. The findings of this study will enable managers and decision-makers of manufacturing companies to increase sustainable efficiency and reduce waste through the use of lean manufacturing and GSCM implementation.

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Section: Discussionmentioning

confidence: 99%

“…This conduction proved that the initiatives taken for the conduction are appropriate for the lean and green framework. These results were of higher scores, which proved a good interconnection between green production and lean production (Stekelorum et al, 2021 ).…”

Section: Literature Reviewmentioning

confidence: 94%

Mediating Role of Green Supply Chain Management Between Lean Manufacturing Practices and Sustainable Performance

et al. 2022

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“…Concerning the well-developed status of research on outsourcing 3PRLP, multiple criteria decision-making (MCDM) techniques that simultaneously consider various desired selection criteria in different dimensions have appeared to be promising for this task. Literature and practice show that economic, environmental, and social factors are dominant decision-making variables in selecting a sustainable provider of reverse logistics services [13][14][15]. Sustainable development (economic, environmental, and social aspects) lead organizations to reverse logistics practices (Figure 1) [16].…”

Section: Literature Reviewmentioning

confidence: 99%

Outsourcing Reverse Logistics for E-Commerce Retailers: A Two-Stage Fuzzy Optimization Approach

Wang

Dang

Nguyen

2021

Axioms

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On the heels of the online shopping boom during the Covid-19 pandemic, the electronic commerce (e-commerce) surge has many businesses facing an influx in product returns. Thus, relevant companies must implement robust reverse logistics strategies to reflect the increased importance of the capability. Reverse logistics also plays a radical role in any business’s sustainable development as a process of reusing, remanufacturing, and redistributing products. Within this context, outsourcing to a third-party reverse logistics provider (3PRLP) has been identified as one of the most important management strategies for today’s organizations, especially e-commerce players. The objective of this study is to develop a decision support system to assist businesses in the selection and evaluation of different 3PRLPs by a hybrid fuzzy multicriteria decision-making (MCDM) approach. Relevant criteria concerning the economic, environmental, social, and risk factors are incorporated and taken into the models. For obtaining more scientific and accurate ranking results, linguistic terms are adopted to reduce fuzziness and uncertainties of criteria weights in the natural decision-making process. The fuzzy analytic hierarchy process (FAHP) is applied to measure the criteria’s relative significance over the evaluation process. The fuzzy technique for order preference by similarity to an ideal solution (FTOPSIS) is then used to rank the alternatives. The prescribed method was adopted for solving a case study on the 3PRLP selection for an online merchant in Vietnam. As a result, the most compatible 3PRLP was determined. The study also indicated that “lead time,” “customer’s voice,” “cost,” “delivery and service,” and “quality” are the most dominant drivers when selecting 3PLRLs. This study aims to provide a more complete and robust evaluation process to e-commerce businesses and any organization that deals with supply chain management in determining the optimized reverse logistics partners.

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“…The uncertainty and fuzziness of the decision making environment make more suitable for DMs to express evaluation information with fuzzy information than with clear numbers. Fuzzy sets (FSs) [3] have become useful tools for expressing uncertainty information in GDM problems [4][5][6], and they have been applied in semiconductor inter-bay handling systems [7], green supply chain management [8,9], disease diagnosis [10][11][12], and many other fields [13,14]. Thus far, different extensions of FSs have been proposed.…”

Section: Introductionmentioning

confidence: 99%

A new group decision making approach based on incomplete probabilistic dual hesitant fuzzy preference relations

Song

Jin

et al. 2021

Complex Intell. Syst.

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As an enhanced version of probabilistic hesitant fuzzy sets and dual hesitant fuzzy sets, probabilistic dual hesitant fuzzy sets (PDHFSs) combine probabilistic information with the membership degree and non-membership degree, which can describe decision making information more reasonably and comprehensively. Based on PDHFSs, this paper investigates the approach to group decision making (GDM) based on incomplete probabilistic dual hesitant fuzzy preference relations (PDHFPRs). First, the definitions of order consistency and multiplicative consistency of PDHFPRs are given. Then, for the problem that decision makers (DMs) cannot provide the reasonable associated probabilities of probabilistic dual hesitant fuzzy elements (PDHFEs), the calculation method of the associated probability is given by using an optimal programming model. Furthermore, the consistency level for PDHFPRs is tested according to the weighted consistency index defined by the risk attitude of DMs. In addition, a convergent iterative algorithm is proposed to enhance the unacceptable consistent PDHFPRs’ consistency level. Finally, a GDM approach with incomplete PDHFPRs is established to obtain the ranking of the alternatives. The availability and rationality of the proposed decision making approach are demonstrated by analyzing the impact factors of haze weather.

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Green supply chain management practices and third-party logistics providers’ performances: A fuzzy-set approach

Cited by 70 publications

References 63 publications

Mediating Role of Green Supply Chain Management Between Lean Manufacturing Practices and Sustainable Performance

Mediating Role of Green Supply Chain Management Between Lean Manufacturing Practices and Sustainable Performance

Outsourcing Reverse Logistics for E-Commerce Retailers: A Two-Stage Fuzzy Optimization Approach

A new group decision making approach based on incomplete probabilistic dual hesitant fuzzy preference relations

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