A Supplier Selection Model Using Alternative Ranking Process by Alternatives’ Stability Scores and the Grey Equilibrium Product

Zakeri, Shervin; Yang, Yingjie; Konstantas, Dimitri

doi:10.3390/pr10050917

Cited by 11 publications

(5 citation statements)

References 77 publications

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“…Therefore, subjective weighting is the most commonly used weight setting method [ 38 ]. The most widely used method in this category, AHP, is frequently used in supplier selection [ 15 ]. It enables the decision-maker to gauge the consistency of their judgments.…”

Section: Literature Reviewmentioning

confidence: 99%

“…To integrate all supply chain processes, businesses need an effective SCM. Selecting and evaluating suppliers is the first stage, but this process takes time and resources [ 15 ]. By choosing the suppliers with the greatest potential, a firm can benefit from a number of benefits, optimize financial rewards, and reduce costs and risks [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

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Sustainable supplier selection based on VIKOR with single-valued neutrosophic sets

Luo,

Wang,

Yang

et al. 2023

PLoS ONE

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Considering economic, environmental, and social issues, the sustainability of the supply chain has drawn considerable attention due to societal and environmental changes within the supply chain network. The strategic study of the entire supply chain process and maximizing an organization’s competitive advantage depend heavily on supplier selection based on sustainable indicators. Selecting sustainable suppliers for the supply chain is challenging since it is a multi-criteria decision-making (MCDM) problem with significant uncertainty in the decision-making process. This study uses the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) technique and single-valued neutrosophic sets (SVNS) to deal with the challenge of choosing a sustainable supplier with insufficient information. This method reduces the influence of personal experience and preference on the final evaluation results and the problem of excessive individual regret caused by factor correlation and improves the consistency of evaluation results. Finally, the method’s success and adaptability are demonstrated by sensitivity analysis and additional comparison analysis, and the benefits and drawbacks of the suggested framework are examined. Compared to other approaches, it can assist decision-makers in communicating fuzzy and uncertain information, offering a perspective and approach for MCDM in the face of such situations, and helping them select suppliers of high caliber and who practice sustainable business practices.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sustainable supplier selection based on VIKOR with single-valued neutrosophic sets

Luo,

Wang,

Yang

et al. 2023

PLoS ONE

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show abstract

“…By evaluating the effective criteria using QFD and FMEA methods, they evaluated and ranked the criteria by combining AHP and DEMATEL methods with a gray approach. Zakeri, Yang and Konstantas [24] in their research, they evaluated and ranked suppliers in order to select them correctly in the sustainable supply chain. They used the ARPASS 2 method for ranking and final selection of suppliers.…”

Section: Sustainability Supply Chainmentioning

confidence: 99%

Evaluating and Ranking Digital Stores’ Suppliers using TOPKOR Method

Beheshtinia

Falsafi

Qorbani

et al. 2022

IJE

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Due to the expansion of cyberspace in the context of internet use and public access to this platform, many stores try to use the online sales platform to eliminate geographical zones restrictions and the number of intermediaries. This approach has many other advantages such as reducing completed costs, lower shipping costs and faster speed of product delivery, etc. Proper evaluation and suppliers ranking plays an important role in increasing the productivity of these types of stores. This research provides an approach to evaluate and rank suppliers in digital stores using a combination of two multi-criteria decision-making (MCDM) techniques called Analysis Hierarchy Process (AHP) and TOPKOR. First, the effective criteria in evaluation and the ranking of suppliers in digital stores are identified and their weights are determined using AHP technique. Then, the score of each supplier in each criterion is determined. Finally, the suppliers are ranked based on TOPKOR technique. The results not only show the final rank of suppliers but also identified 8 criteria for evaluation and ranking the suppliers. Moreover, the results show the criteria of support, easy access and flexibility are the most important in evaluating and ranking digital stores' suppliers, respectively.

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“…Hoseini et al ( 2022) created a combined model for resilient supplier selection in the construction industries using Interval Type-2 Fuzzy (IT2F) TOPSIS and IT2F BWM. In order to address supplier selection issues, Zakeri et al (2022) introduced a unique MCDM technique called the alternative ranking process by alternatives' stability scores (ARPASS). The new method computes the stabilities of the options using standard deviations and Shannon's entropy.…”

Section: Literature Reviewmentioning

confidence: 99%

A Two-Stage Integrated Model for Supplier Selection and Order Allocation: An Application in Dairy Industry

Yazdani¹,

Chatterjee²,

Stević³

2022

Oper. Res. Eng. Sci. Theor. Appl.

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Selecting the best supplier is a recurrent organizational challenge that occurs in a supply chain (SC) as a result of the presence of complex variables, restrictive criteria, and conflicting priorities. Since an SC network is often developed with ambiguous conditions and information due to the industrialization of society and the intricacy of market competitiveness, fuzzy decision-making models are more effective. This paper proposes a two-stage decision-making model to select suppliers and to estimate cost-effective order numbers per supplier. The initial stage of the proposed model involves identifying fuzzy linguistic variables, interpreting appropriate decision criteria for evaluating suppliers, and modelling fuzzy technique for order preference and similarity to ideal solution (TOPSIS) method. The goal of fuzzy TOPSIS method is to attenuate the ambiguous expert inputs. In the second stage, economic order quantity is determined and assigned to each supplier using TOPSIS scores as inputs for a linear programming (LP) model. Different constraints, including demand, density qualification, acidity qualification, price, and capacity are formulated using the LP model. The mathematical model seeks to optimize total value of purchasing. The model is implemented in a dairy company to show its applicability and effectiveness. It has been found that supplier A1 and supplier A4 need to deliver 8000 kg of dry milk to the company, while supplier A5 needs to supply only 3500 kg. It is expected that the obtained results will assist organizations in developing a methodical strategy for addressing order allocation and supplier selection problems in more a realistic context.

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A Supplier Selection Model Using Alternative Ranking Process by Alternatives’ Stability Scores and the Grey Equilibrium Product

Cited by 11 publications

References 77 publications

Sustainable supplier selection based on VIKOR with single-valued neutrosophic sets

Sustainable supplier selection based on VIKOR with single-valued neutrosophic sets

Evaluating and Ranking Digital Stores’ Suppliers using TOPKOR Method

A Two-Stage Integrated Model for Supplier Selection and Order Allocation: An Application in Dairy Industry

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