Third-party reverse logistics provider selection: A computational semantic analysis-based multi-perspective multi-attribute decision-making approach

Chen, Zhen‐Song; Zhang, Xuan; Govindan, Kannan; Wang, Xian Jia; Chin, Kwai Sang

doi:10.1016/j.eswa.2020.114051

Cited by 117 publications

(81 citation statements)

References 48 publications

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“…On the basis of fuzzy AHP and gray MOORA, Zarbakhshnia et al [69] originated a collective MCDM method for assessing the S3PRLP alternatives. Chen et al [1] suggested a new multi-perspective multi-attribute decision-making support system for the evaluation and prioritization of 3PRLPs under an HF linguistic term set environment. Mishra et al [70] gave a combined framework with CRITIC and EDAS methods for Fermatean fuzzy sets (FFSs) to deal the S3PRLP selection problem in which the attributes and DEs' weights are completely unknown.…”

Section: Sustainable Third-party Reverse Logistics Provider (S3prlp)mentioning

confidence: 99%

“…In the following, we present the weighted sum measure (WSM) (or sum of the weighted comparability sequence) (1) i Λ for each candidate:…”

Section: Hesitant Fuzzy Combined Compromise Solution (Hf-cocoso) Apprmentioning

confidence: 99%

“…Over the last two decades, supply chain management (SCM) has been popularized as a significant part of every company, no matter whether the size of the company is large or small. SCM encompasses the planning and management of all supply chain activities engaged in sourcing and procurement, conversion, and all logistics management activities with the objective of maximizing customer value, creating net value, and achieving a sustainable competitive advantage [1]. Logistics, one of the core components of effective SCM, is not only delivering the merchandise but also proffering the opportunity for stock to be returned to the suppliers through a feedback loop.…”

Section: Introductionmentioning

confidence: 99%

“…The pressure of increasing costs of enterprises, commercial competition, globalization of business activities, legislative pressure, and customers are compelling the companies to pay increasing attention to their RL activities. The companies have three different modes to handle their RL operations, which are (i) handle them in-house; (ii) manage them through a reliable logistics subsidiary or group company, either by setting up or buying an associated logistics firm [1], and (iii) outsource this function to an exterior provider [5]. Nonetheless, several enterprises struggle for implementing RL in house because they do not have adequate capacity to manage this function.…”

Section: Introductionmentioning

confidence: 99%

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A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers

et al. 2021

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Customers’ pressure, social responsibility, and government regulations have motivated the enterprises to consider the reverse logistics (RL) in their operations. Recently, companies frequently outsource their RL practices to third-party reverse logistics providers (3PRLPs) to concentrate on their primary concern and diminish costs. However, to select the suitable 3PRLP candidate requires a multi-criteria decision making (MCDM) process involving uncertainty owing to the presence of many associated aspects. In order to choose the most appropriate sustainable 3PRLP (S3PRLP), we introduce a hybrid approach based on the classical Combined Compromise Solution (CoCoSo) method and propose a discrimination measure within the context of hesitant fuzzy sets (HFSs). This approach offers a new process based on the discrimination measure for evaluating the criteria weights. The efficiency and practicability of the present approach are numerically demonstrated by solving an illustrative case study of S3PRLPs selection under a hesitant fuzzy environment. Moreover, sensitivity and comparative studies are presented to highlight the robustness and strength of the introduced methodology. The result of this work concludes that the introduced methodology can recommend a more feasible performance when facing with determinate and inconsistent knowledge and qualitative data.

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Section: Sustainable Third-party Reverse Logistics Provider (S3prlp)mentioning

confidence: 99%

“…In the following, we present the weighted sum measure (WSM) (or sum of the weighted comparability sequence) (1) i Λ for each candidate:…”

Section: Hesitant Fuzzy Combined Compromise Solution (Hf-cocoso) Apprmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers

et al. 2021

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“…In decision-making, there are some approaches that deal with uncertainty. For example, Chen et al used fuzzy terms and the technique for order preference by similarity to an ideal solution (TOPSIS) method from the perspective of MADM for decision-making and conducted in-depth research on theory and application of fuzzy terms and MADM methods [2][3][4][5]. Wey proffered an integrated approach based on the fuzzy Delphi method and dynamic network process to identify sustainable urban transportation planning strategies to improve quality of life [6].…”

Section: Introductionmentioning

confidence: 99%

Risk Cloud Model for Evaluating Nautical Navigational Environments

Chen

Tian

2021

Mathematical Problems in Engineering

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Uncertainty makes the risk evaluation of complex water transportation systems (WTSs) a difficult task. To achieve reasonable results while accounting for uncertainty, the risk evaluation of nautical navigational environments (NNEts) is often based on classical cloud model theory. This study proposes the concept of a risk cloud model (RCM) for NNEt evaluation and uses a fuzzy statistics-based computational approach to obtain the RCM parameters. As a case study, the proposed RCM method was applied to the risk evaluation of the Qiongzhou Strait. The performance of the proposed method was compared to those of a fuzzy theory-based method and an earlier proposed simplified algorithm. The results of the case study demonstrated the effectiveness of the proposed method along with several key advantages. First, the method could deal with uncertainty, take advantage of multichannel information, and evaluate risk features. Second, the RCM droplets intuitively displayed the qualitative and quantitative characteristics of risk levels, which facilitated understanding and analysis. Third, it showed a good sensitivity to ensure the refinement of evaluation results. The proposed method offered an improved approach to NNEt risk evaluation under uncertain conditions.

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Outsourcing logistics operations in circular economy towards to sustainable development goals

et al. 2022

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One of novel manners to achieve sustainable development is concentrating on circular economy in order to manage greenhouse gas emissions, energy consumption, and waste. It also helps to protect the environment and optimize usage of input resources. The main element of circular economy is closed-loop supply chain which covers both forward and reverse products flows. This study aims to outsource logistics operations in a closed-loop supply chain. An innovative analytical multi-step fuzzy decision-making method is proposed to rank sustainable third-party logistics

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Third-party reverse logistics provider selection: A computational semantic analysis-based multi-perspective multi-attribute decision-making approach

Cited by 117 publications

References 48 publications

A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers

A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers

Risk Cloud Model for Evaluating Nautical Navigational Environments

Outsourcing logistics operations in circular economy towards to sustainable development goals

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