A utility-driven approach to supplier evaluation and selection: empirical validation of an integrated solution framework

Ulutaş, Alptekin; Shukla, Nagesh; Kiridena, Senevi

doi:10.1080/00207543.2015.1098787

Cited by 40 publications

(32 citation statements)

References 21 publications

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“…[6] developed an integrated DEA enhanced Russell measure (ERM) model in fuzzy context to select the best sustainable suppliers. [56] proposed an integrated solution framework that can be…”

Section: Multiple Criteria Methodsmentioning

confidence: 99%

Sustainable agro-food supply chain design using two-stage hybrid multi-objective decision-making approach

Allaoui

Guo

Choudhary

et al. 2018

Computers & Operations Research

214

123

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Sustainability of agro-food supply chains has recently become the subject of greater interest from consumers, firms, governmental organizations and academia as the environment continues to deteriorate. One of the most critical factors influencing the sustainability of an agro-food supply chain is its network design. A particularly challenging aspect in this context is the broad range of influencing indicators associated with the Triple Bottom Line (TBL) of sustainability that need to be considered. However, many of these indicators could not be fully integrated or measured by single-step optimization problems. This paper presents a critical literature review of operational research methods for the design of sustainable supply chains. A novel two-stage hybrid solution methodology is proposed. In the first stage, a partner selection is performed using a hybrid multi criteria decision making based on Analytic Hierarchy Process (AHP) method and the Ordered Weighted Averaging (OWA) aggregation method. The result obtained in the first stage is used in the second stage to develop a multi-objective mathematical model to optimize the design of the supply chain network. This approach allows the simultaneous consideration of all three dimensions of sustainability including carbon footprint, water footprint, number of jobs created and the total cost of the supply chain design. The proposed approach generates a Pareto frontier to aid users in making decisions. Numerical experiments are completed utilizing data from a case study of French agro-food company to demonstrate the efficiency and effectiveness of the solution method. The analyses of the numerical results provide important organizational, practical and policy insights on (1) the impact of financial and environmental sustainability on supply chain network design (2) the use of environmental emission, water footprint, societal and cost tradeoff analysis for making informed decision on supply chain investment.

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“…[6] developed an integrated DEA enhanced Russell measure (ERM) model in fuzzy context to select the best sustainable suppliers. [56] proposed an integrated solution framework that can be…”

Section: Multiple Criteria Methodsmentioning

confidence: 99%

Sustainable agro-food supply chain design using two-stage hybrid multi-objective decision-making approach

Allaoui

Guo

Choudhary

et al. 2018

Computers & Operations Research

214

123

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“…In this study, the FAHP and the fuzzy OCRA will be used to solve supplier selection problem. The FAHP (Calabrese et al, 2013;Ulutas et al, 2016) will be utilised to identify the weights of criteria. Decision makers utilised terms in Table 2 to compare criteria.…”

Section: Fuzzy Ahpmentioning

confidence: 99%

Supplier Selection by Using a Fuzzy Integrated Model for a Textile Company

Ulutaş

2019

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Supply chain management determining the competitive position of corporations in a rival and fast-changing environment is one of the favourite topics in engineering economics. Since the performance of suppliers affects the performance of the whole supply chain, the selection of a supplier is a significant problem in supply chain management. When solving a supplier selection problem, there are many criteria needed to be considered. Therefore, the supplier selection problem is a multi-criteria decision making (MCDM) problem. In the supplier selection process, most of the time, expert data is involved, and the judgement of experts includes ambiguous, imprecise and uncertain data. Thus, there are many methods to solve supplier selection issues by utilising fuzzy set theory, grey theory and rough theory to handle vagueness of a problem. This study also proposes a fuzzy model to solve this problem. In this study, an integrated fuzzy MCDM model including the Fuzzy Analytic Hierarchy Process (FAHP) and the Fuzzy Operational Competitiveness RAting (Fuzzy OCRA) will be proposed to solve supplier selection problem for a Turkish textile company. The FAHP is utilised to determine the weights of considered eight criteria and the fuzzy OCRA is used to rank five fabric suppliers concerning their performances on eight measures. This study is original and it contributes to the literature in two ways: first, this study proposes a fuzzy extension of the OCRA method and second, this study offers a new integrated fuzzy MCDM model consisting of the FAHP and the Fuzzy OCRA. By using a real case study of supplier selection problem, it is attempted to indicate the applicability of the new integrated fuzzy MCDM model for actual circumstances.

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“…Associated criteria Sen et al, 2009 Quality, Socio-economic, and technology Luo et al, 2009 Resource and financial quality, and management Kahraman et al, 2010 Service and product performance, and cost Guneri et al, 2011 Quality, delivery, supplier relationship, problem-solving capability, and cost Razaei et al, 2013 Supplier relationship, and exchange elements Arikan et al, 2013 Quality, price, delivery, and capacity Kumar Kar et al, 2014 Price, technology, financial management, delivery, E-transaction ability, and service product quality Deng et al, 2014 Quality, risk factors, supplier's benefits, and service performance Ulutas et al, 2016 Cost, financial position, delivery, flexibility, quality, technology, compliance with sectorial price, reputation, and communication issues…”

Section: Authorsmentioning

confidence: 99%

Developing a novel Grey integrated multi-criteria approach for enhancing the supplier selection procedure: A real-world case of Textile Company

Bakhat¹,

Rajaa²

2019

10.5267/j.dsl

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Supplier selection is one of the most essential activities in purchase management and plays a crucial role in the production phase. Supplier selection as a vital step of supply chain management is a multi-criteria decision-making issue. For any organization, the process of selecting the best supplier holds variable multilayered complications involving quantitative and qualitative criteria. This paper tackles the supplier selection problem in a Turkish Textile Company. The present study carries out a novel grey integrated multi-criteria approach for enhancing the supplier procedure within Textile Company with the help of the grey analytical hierarchy process G-AHP model for weighting the set of criteria, and the grey weighted aggregated sum product assessment WASPAS-G model for prioritizing the suppliers. The study starts with reviewing the previous works of multi-criteria decision-making MCDM methods and the list of existing criteria evaluation in supplier selection. Then, the range of criteria is selected based on the company requirements and the experts' interview. In the case study, the consistency rate of the models is tested in order to verify the quality of experts' judgments. The final results affirm that Grey integrated approach could be efficient and far more precise than the existing models for overcoming the supplier selection and evaluation obstacles in the supply chain management.

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A utility-driven approach to supplier evaluation and selection: empirical validation of an integrated solution framework

Cited by 40 publications

References 21 publications

Sustainable agro-food supply chain design using two-stage hybrid multi-objective decision-making approach

Sustainable agro-food supply chain design using two-stage hybrid multi-objective decision-making approach

Supplier Selection by Using a Fuzzy Integrated Model for a Textile Company

Developing a novel Grey integrated multi-criteria approach for enhancing the supplier selection procedure: A real-world case of Textile Company

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