Sustainable third-party reverse logistic provider selection with fuzzy SWARA and fuzzy MOORA in plastic industry

Mavi, Reza Kiani; Goh, Mark; Zarbakhshnia, Navid

doi:10.1007/s00170-016-9880-x

Cited by 231 publications

(141 citation statements)

References 95 publications

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“…Therefore, the proposed MAGDM method, which focuses on processing linguistic variables, in this paper, is suitable and reasonable for the sustainable 3PRLPs selection issue. [68,72,77,87] Suppose that there are four attributes, namely, economic ability (C 1 ), environmental ability (C 2 ), risk level(C 3 ) [88], and social ability (C 4 ).…”

Section: Case Descriptionmentioning

confidence: 99%

A MAGDM Method Based on Possibility Distribution Hesitant Fuzzy Linguistic Term Set and Its Application

Luo

2019

Mathematics

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The sustainable third-party reverse logistics provider (3PRLP) selection, as the core of sustainable supply chain management, has become paramount in research nowadays. In the actual evaluation process, the decision makers may hesitate in a few linguistic terms and have different partiality towards each term, hence the possibility distribution based hesitant fuzzy linguistic term sets (PDHFLTSs), as expressed by a consecutive or non-consecutive linguistic term set, is suitable for such an evaluation. The purpose of this paper is to solve sustainable 3PRLP selection problems with linguistic information by developing an effective and robust method. We firstly redefine the covariance-based correlation coefficient that can simplify the computation to calculate the consensus degree, and then introduce the hesitant degree in context of possibility distribution information, in order to enrich measures of PDHFLTSs. On this basis, the weights of experts are computed for expression aggregation. Secondly, to overcome attributes’ weights staying constant, the combination of group utility function and variable weight approach is introduced to give the weights of attributes. Most importantly, a decision method, called MULTIMOORA, is optimized by improving the ranking position method, and then, through the combination with PDHFLTS, we proposed a possibility distribution based hesitant fuzzy linguistic MULTIMOORA method with great robustness. At last, the presented method is applied to the field of sustainable third-party reverse logistics provider selection in the e-commerce express industry and the effectiveness is verified by several comparative analyses.

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Section: Case Descriptionmentioning

confidence: 99%

A MAGDM Method Based on Possibility Distribution Hesitant Fuzzy Linguistic Term Set and Its Application

Luo

2019

Mathematics

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“…As seen from the above representative literature, quotation, technical strength and resource strength are the three main factors which are widely accepted and adopted; we thus include these factors as main evaluative attributes in this paper. Another finding from the above reviewed literature is that nearly all of them emphasized the inclusion of indicators to examine credibility of contractors in their managing external and internal challenges [72,73], such as financial capability [24], safety performance [24], and reputation [10,25,26]; therefore, we introduce the 'Credibility' as another main attribute in this paper.…”

Section: Evaluative Attributes For Green Contractor Selectionmentioning

confidence: 99%

Tackling Complexity in Green Contractor Selection for Mega Infrastructure Projects: A Hesitant Fuzzy Linguistic MADM Approach with considering Group Attitudinal Character and Attributes’ Interdependency

Zhang

Liang

2018

Complexity

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Continuous environmental concerns regarding construction industry have been driving general constructors of mega infrastructure projects to incorporate green contractors. Although conventional multiple attributes decision-making (MADM) methodologies have provided feasible ways to select contractor, high complexity in scenarios of megaprojects still challenges existing MADM methods in concurrently accommodating three key issues of decision hesitancy, attributes interdependency, and group attitudinal character. To elicit decision-makers’ hesitant fuzzy assessments more objectively and comprehensively, we define an expression tool called interval-valued dual hesitant fuzzy uncertain unbalanced linguistic set (IVDHF_UUBLS) and develop aggregation operators through its operations. To exploit attributes interdependency, we establish a synthesized attributes’ weighting model to fuse an attributes interdependency-based weighting vector and an argument-dependent weighting vector, which are, respectively, derived through Decision-Making and Trial Evaluation Laboratory (DEMATEL) technique and maximizing deviation method. To effectively utilize decision-makers’ group attitudinal characters, we also develop a TOPSIS-based method to rationally transform group ideal attitudes into order-inducing vectors. On the strength of the above methods, an integrated MADM approach is then constructed. Finally, illustrative case study and experiments are conducted to validate our approach.

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“…The most popular authors on this topic throughout the years are listed in Table 3. In terms of reverse logistics activities, most 3PRLPs are selected to perform the collection and disposition operations, although some organisations outsource all of the reverse logistics activities -as illustrated by Sabtu, Saibani, Ramli and Ab Rahman [16]; Venkatesh, Bhattacharya, Sethi and Dua [17]; Tavana, Zareinejad, Artega, Kaviani, and Amin [18] ; Mavi, Goh, and Zarbakhshnia [19]; and Zarbakhshnia, Soleimani, and Ghaderi [20]. The most common disposition methods investigated are remanufacturing, recycling, and re-use.…”

Section: Prlp Evaluation and Selectionmentioning

confidence: 99%

A Systematic Review of 3pls’ Entry Into Reverse Logistics

Tombido

Louw²,

Eeden³

2018

SAJIE

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The concepts of Industry 4.0 and closed loop supply chains are becoming popular as logistics management evolves. Industry 4.0, through its instruments such as cloud manufacturing and the Internet of Things, has been known to improve operations management significantly. At the same time, closed loop supply chains have gained momentum with the increase in environmental sustainability issues. However, closed loop supply chains are often associated with uncertainties in the timing, quality, and quantity of returns. For these and other reasons, most organisations employ third parties to perform most reverse logistics activities. This paper systematically reviews the literature on the entry and use of third parties in reverse logistics with the objective of providing researchers with future research directions for this fast-emerging topic. The results show that there is a need to expand on the literature and on managerial issues such as performance measurement of reverse logistics networks with third parties. The literature also needs to consider how third parties use technological aspects such as Industry 4.0 to manage and operate reverse supply chains successfully.

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Sustainable third-party reverse logistic provider selection with fuzzy SWARA and fuzzy MOORA in plastic industry

Cited by 231 publications

References 95 publications

A MAGDM Method Based on Possibility Distribution Hesitant Fuzzy Linguistic Term Set and Its Application

A MAGDM Method Based on Possibility Distribution Hesitant Fuzzy Linguistic Term Set and Its Application

Tackling Complexity in Green Contractor Selection for Mega Infrastructure Projects: A Hesitant Fuzzy Linguistic MADM Approach with considering Group Attitudinal Character and Attributes’ Interdependency

A Systematic Review of 3pls’ Entry Into Reverse Logistics

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