scholarly journals Multicriteria supplier selection using acceptability analysis

2019 ◽  
Vol 11 (10) ◽  
pp. 168781401988371
Author(s):  
Qian Zhang ◽  
Kin Keung Lai ◽  
Jorome Yen
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Input Data ◽  
Full Rank ◽  
Interval Data ◽  
Selection Problem ◽  
Group Consensus ◽  
Extant Literature ◽  
Effective Instrument ◽  
Supplier Selection Problem

The supplier selection problem has been largely explored in the extant literature and attracted considerable attention of academics and purchasing managers. Practical supplier selection problem is usually revolved around multicriteria and a committee of experts. However, even using the exact values of the input data, certain experts may generate uncertain evaluation results on a supplier, because the exact weights with respect to each criterion are extremely difficult to reach a group consensus. In this article, first the interval data to describe all experts’ evaluation on all suppliers are formulated and then a stochastic multicriteria acceptability analysis (SMAA-2) is applied to provide a full rank of all candidate suppliers. SMAA-2 method is considered as an effective instrument to deal with stochastic decision-making problems. The rank acceptability indices and holistic rank indices are obtained to support the supplier selection. A numerical example drawn from the previous paper is recalculated to show the effectiveness of our approach.

Using of Fuzzy SWARA and Fuzzy ARAS Methods to Solve Supplier Selection Problem

2020 ◽  
pp. 136-148
Author(s):  
Alptekin Ulutas
Keyword(s):  
Supplier Selection ◽  
Integrated Model ◽  
Selection Problem ◽  
Ratio Analysis ◽  
Imprecise Data ◽  
Extant Literature ◽  
Selection Problems ◽  
The Past ◽  
Proposed Model ◽  
Supplier Selection Problem

As the performance of suppliers directly or indirectly affects the performance of the companies with which they engage, working with the most suitable supplier has become the key to success for companies. When solving the supplier selection problem, many different criteria involving qualitative and quantitative criteria are considered. Therefore, the supplier selection problem is considered an MCDM problem. These criteria can include uncertain and imprecise data. Additionally, the judgments of many managers are considered in supplier selection problems. Thus, in this chapter, a fuzzy group integrated model including Fuzzy SWARA (step-wise weight assessment ratio analysis) and Fuzzy ARAS (additive ratio assessment) is proposed to select the best supplier. This study contributes to the extant literature since these two methods were not used in the past to solve any problems together. The proposed model is applied to a Turkish textile company.

An integrated decision-making model for supplier evaluation in public healthcare system: the case study of a Spanish hospital

2020 ◽  
Vol 33 (5) ◽  
pp. 965-989 ◽  
Author(s):  
Morteza Yazdani ◽  
Ali Ebadi Torkayesh ◽  
Prasenjit Chatterjee
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Public Procurement ◽  
Selection Problem ◽  
Public Healthcare ◽  
Content Type ◽  
Development Goals ◽  
Integrated Decision Making ◽  
Decision Making Model ◽  
Supplier Selection Problem

PurposeIn this study, an integrated decision-making model consisting of decision-making trial and evaluation laboratory (DEMATEL), best worst method (BWM) and a modified version of evaluation based on distance from average solution (EDAS) methods is proposed for supplier selection problem in a public procurement system considering sustainable development goals.Design/methodology/approachDEMATEL and BWM methods are used to determine weights of the criteria that are defined for the supplier selection problem. Weight aggregation method is applied to combine the weights obtained from these two methods. A modified version of EDAS method is then used in order to rank the alternative suppliers.FindingsThe proposed decision-making model is investigated for a supplier selection problem for a hospital in Spain. The validity of the results is checked using comparison with other decision-making methods and several performance analysis tests.Practical implicationsThe proposed multi-criteria decision-making (MCDM) model contributes to the healthcare supply chain management (SCM) and aims to lead the policy makers in selecting the best supplier.Originality/valueThere is no such study that combines DEMATEL and BWM together for weight generation. The application of the modified EDAS method is also new. In real time situations, the decision experts may confront to the difficulty of using BWM while identifying the best and the worst criteria choices. The idea of using DEMATEL is to aid the experts to make them enable in distinguishing between the best/worst criteria and handle BWM easily.

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