Selecting the best supplier at a steel-producing company under fuzzy environment

Çakır, Süleyman

doi:10.1007/s00170-016-8861-4

Cited by 14 publications

(6 citation statements)

References 70 publications

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“…In Chen and Zou [36], an extended grey relational analysis (GRA) method with intuitionistic fuzzy soft sets was proposed to select an appropriate supplier from the perspective of risk aversion. In Çakır [37], a supplier selection algorithm based on fuzzy AHP and a generalized Choquet fuzzy integral was suggested for selecting the best supplier at a steel-producing company. Zhang et al [38] combined an analytic network process (ANP) with Dempster-Shafer evidence theory for dealing with the supplier selection problem.…”

Section: Individual Methodsmentioning

confidence: 99%

An Extended VIKOR Method Using Intuitionistic Fuzzy Sets and Combination Weights for Supplier Selection

et al. 2017

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Supplier selection is a complex multiple criteria decision-making (MCDM) problem, which considers a number of alternative suppliers as well as conflicting and noncommensurable criteria. Considering the fact that it is difficult to precisely determine criteria weights and the ratings of alternatives on each criterion in real-life situations, the VIKOR (VIsekriterijumska optimizacija i KOmpromisno Resenje) method has been modified for intuitionistic fuzzy data in this study for supplier evaluation and selection. Further, we take into account both subjective and objective weights of criteria in the decision-making process, as most supplier selection approaches consider only subjective criteria weights. Finally, two supplier selection examples are provided to illustrate the proposed intuitionistic fuzzy hybrid VIKOR (IFH-VIKOR) method, and its merits are highlighted by comparing it with other relevant approaches.

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Section: Individual Methodsmentioning

confidence: 99%

An Extended VIKOR Method Using Intuitionistic Fuzzy Sets and Combination Weights for Supplier Selection

et al. 2017

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“…Human behaviour toward the deployment of the LCSCM system is highly unpredictable. This mechanism is unimportant to the whole automobile production sector [20,21]…”

Section: Less Consideration For Low-carbon Managementmentioning

confidence: 99%

Implementation of Low Carbon Supply Chain Management Practices (LCSCMP) in Indian Manufacturing Industries Using ISM-DEMATEL

Gupta,

Jayant,

Singh

2024

Preprint

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Low carbon supply chain management (LCSCM) strategies are required in the Indian manufacturing industries due to rapidly growing energy usage for financial and environmental concerns. LCSCM technologies face a number of challenges that limit their adoption. Eleven hurdles were selected from the literature as well as the recommendations of business and academic experts. These barriers are defined by a number of factors, including a lack of information, financial worries, environmental concerns, and governmental limits, among others. In addition, efforts are being made to quantify the most optimal relevant barriers using Multi criteria decision making (MCDM) techniques such as interpretive structural modeling (ISM) and decision-making trail and evaluation laboratory (DEMATEL). MICMAC analysis is used to estimate the sensitivity and priority of barriers based on dependency power and driving power. One of these barriers is a needed factor; three are driving elements; four barriers are linked factors; and three are self-sufficient factors. The findings of this study can help academic specialists, industry representatives, and practitioners in their ongoing attempts to adopt 'LCSCM techniques' in Indian manufacturing industries. The model is appropriately explained and applies the link between the barriers.The objective of this paper is the Evaluation and selection of most influential of Barriers to Adopt Low Carbon Supply Chain Management (LCSCM) in the Indian Manufacturing Sector is interrelated.

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“…The most extensive integrated technology is the combination of mathematical programming with AHP, 9 ANP, 10 or DEA. 11 For example, Çakır 12 proposed a supplier selection algorithm based on improved Fuzzy Analytic Hierarchical Process (FAHP) and Generalized Choquet Fuzzy Integral (GCFI) considering information fusion between evaluation criteria and languages. Singh 13 proposed a combination of TOPSIS and Mixed Integer Linear Programming (MILP) to solve the problem of prioritization and order allocation among suppliers.…”

Section: Literature Reviewmentioning

confidence: 99%

A new decision method for service supplier selection based on Choquet integral and generalized evidence theory

Yin

Gao

2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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Service supplier selection is the most important problem in the process of service outsourcing. Aiming at the fuzziness of supplier evaluation index and subjectivity of decision-making process, a decision method for service supplier selection based on Choquet integral and generalized evidence theory is proposed. First, the fuzziness and uncertainty of information in decision-making process are solved by using interval rough number. The importance degree acquisition method of attribute index is corrected, and the relative weight and absolute weight of attribute index are obtained. Second, considering the interaction between attribute indexes, n-additive Choquet integral model is used to evaluate the service suppliers. According to the characteristics of service suppliers, the decision index system is proposed that is made up of different target variables, and the selection evaluation model of service supplier is established. Then, in order to eliminate the differences and conflicts of the expert evaluation opinions, the generalized evidence theory group decision-making method is introduced, and the expert evaluation opinions are fused so as to obtain the final result. Finally, a case study is provided to verify the validity and feasibility of the proposed method.

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Selecting the best supplier at a steel-producing company under fuzzy environment

Cited by 14 publications

References 70 publications

An Extended VIKOR Method Using Intuitionistic Fuzzy Sets and Combination Weights for Supplier Selection

An Extended VIKOR Method Using Intuitionistic Fuzzy Sets and Combination Weights for Supplier Selection

Implementation of Low Carbon Supply Chain Management Practices (LCSCMP) in Indian Manufacturing Industries Using ISM-DEMATEL

A new decision method for service supplier selection based on Choquet integral and generalized evidence theory

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