New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management

Liou, James J. H.; Tamošaitienė, Jolanta; Zavadskas, Edmundas Kazimieras; Tzeng, Gwo‐Hshiung

doi:10.1080/00207543.2015.1010747

Cited by 186 publications

(114 citation statements)

References 77 publications

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“…-Ecer (2014) propose a hybrid model of AHP and COPRAS-G methods for evaluating the website quality of banks in Turkey. -Liou et al (2015) proposes a novel hybrid model that addresses dependent relationships between various criteria using DEMATEL and the vague and incomplete information using modified COPRAS-G for improving and selecting suppliers in green supply chain management. -Pancholi, Bhatt (2016) presents a multi-criteria decision-making approach based on COPRAS-G to overcome the limitations of Failure Mode Effect and Criticality Analysis (FMECA) for aluminium wire process rolling mills.…”

Section: Copras-g Methodsmentioning

confidence: 99%

Supplier selection in Telecom supply chain management: a Fuzzy-Rasch based COPRAS-G method

Chatterjee

Kar

2018

Technological and Economic Development of Economy

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Abstract. In the past decade, global competition are forcing firms to increase their level of outsourcing for raw or semi-finished products and building long term relationship with their supply chain partners. The objective is to present a wide-ranging decision making technique for ranking supplier alternatives in view of the effect of selected criteria. A proposed method is developed aiming the usage of Fuzzy-Rasch model applying five point Likert scale for criteria weight and Grey based COmplex PRoportional ASsessment (COPRAS-G) method for evaluating and ranking the potential alternatives, as per criteria. The applicability of the induced methodology for supplier selection problem in all environments is shown through a case study in telecommunication sector. A sensitivity analysis is performed based on changing weight patterns of criteria to show the stability in ranking result of the proposed approach. Further, a comparative analysis between the ranking results of proposed method done with existing grey multi-attribute decision-making methods viz. VIKOR-G, ARAS-G and TOPSIS-G using spearman's correlation coefficient for checking the reliability of the ranking result.

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Section: Copras-g Methodsmentioning

confidence: 99%

Supplier selection in Telecom supply chain management: a Fuzzy-Rasch based COPRAS-G method

Chatterjee

Kar

2018

Technological and Economic Development of Economy

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“…Several MADM techniques have been proposed for the SSE problem: analytic hierarchy process (AHP) [34][35][36], analytic network process (ANP) [34], complex proportional assessment (COPRAS) [36][37][38], data envelopment analysis (DEA) [36,[39][40][41], elimination et choix traduisant la realité (ELECTRE) [42,43], preference ranking organization method for enrichment of evaluations (PROMETHEE) [44], technique for order of preference by similarity to ideal solution (TOPSIS) [45][46][47][48][49], visekriterijumska optimizacija i kompromisno resenje (VIKOR) [50,51], decision-making trial and evaluation laboratory (DEMATEL) [52,53], multi-objective optimisation by ratio analysis (MOORA) [54], case based reasoning (CBR) [55], fuzzy inference systems [56,57], genetic algorithm (GA) [58], mathematical and goal programming (MP) [59], simple multi-attribute rating technique (SMART) [60], and their hybrids, among others. In those MADM techniques, the supplier qualification is set according to the valuation given to different relevant factors (qualitative and quantitative) in the evaluation process.…”

Section: Main Methodologies and Factors Used In Sse Modelsmentioning

confidence: 99%

Suitability of a Consensual Fuzzy Inference System to Evaluate Suppliers of Strategic Products

et al. 2018

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This paper designs a bidding and supplier evaluation model focused on strategic product procurement, and develops their respective evaluation knowledge bases. The model is built using the most relevant variables cited in the reviewed procurement literature and allows to compare two evaluation methods: a factor weighting method (WM) and a fuzzy inference system (FIS). By consulting an expert panel and using a two-tuples symbolic translation system, strong fuzzy partitions for all model variables are built. The method, based on central symmetry, permits to obtain the fuzzy label borders from their cores, which have been previously agreed among experts. The system also allows to agree the fuzzy rules to embed in the FIS. The results show the FIS method's superiority as it allows to better manage the non-linear behavior and the uncertainty inherent to the supplier evaluation process.

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“…Tadić and Krstić [55] developed a novel hybrid MADM model that combined fuzzy DEMATEL, fuzzy ANP, and fuzzy VIKOR methods. Liou et al [56] proposed a new hybrid model based on the DEMATEL method, ANP, and gray relation to solve the dependencies among various standards and the fuzzy information of decision makers. Yazdani et al [57] put forward an integrated approach for green supplier selection based on the DEMATEL method, QFD (quality function deployment), and COPRAS (complex proportional assessment) by considering various environmental performance requirements and criteria.…”

Section: Literature Reviewmentioning

confidence: 99%

An Empirical Study on Design Partner Selection in Green Product Collaboration Design

Liu

Xiao

et al. 2018

Sustainability

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Abstract:Green production has become an important issue in PCD (Product Collaboration Design) for almost every enterprise, and will determine the sustainability of enterprises in the long term. The choice of design partner is a necessary condition in order to achieve green production. For the uncertain, fuzzy, and dynamic information such as unknown indices and weights, fuzzy semantics, and dynamic time factors in GPCD (Green Product Collaboration Design), a two-stage dynamic hybrid MADM (Multi-Attribute Decision Making) approach based on fuzzy DEMATEL (Decision-Making and Trial Evaluation Laboratory), fuzzy KMA (Karnik-Mendel Algorithm), and fuzzy VIKOR (VlseKriterjumska Optimizacija I Kompromisno Resenje) was proposed. In the first stage, fuzzy DEMATEL was used to determine the evaluation indices. Then, in the second stage, to accurately depict the dynamic information generated by the different phases of a product design, the dynamic evaluation method based on fuzzy theories was employed, and the weights of the indices were calculated by fuzzy KMA, then sorted by fuzzy VIKOR. Finally, a case study and a comparative analysis wre provided to illustrate the effectiveness of the proposed approach.

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New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management

Cited by 186 publications

References 77 publications

Supplier selection in Telecom supply chain management: a Fuzzy-Rasch based COPRAS-G method

Supplier selection in Telecom supply chain management: a Fuzzy-Rasch based COPRAS-G method

Suitability of a Consensual Fuzzy Inference System to Evaluate Suppliers of Strategic Products

An Empirical Study on Design Partner Selection in Green Product Collaboration Design

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