scholarly journals A New Integrated Multi-Criteria Decision-Making Model for Resilient Supplier Selection

2022 ◽  
Vol 5 (1) ◽  
pp. 8
Author(s):  
Wan Yee Leong ◽  
Kuan Yew Wong ◽  
Wai Peng Wong
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Financial Stability ◽  
Supplier Selection ◽  
Selection Process ◽  
Research Direction ◽  
Multi Criteria Decision Making ◽  
Criteria Weights ◽  
Managerial Implications ◽  
Criteria Importance

Unexpected worldwide disruptions brought various challenges to supply chain management thus manipulating the research direction towards resilience. Since the supplier is one of the important supply chain elements, the challenges can be overcome through resilient supplier selection. Supplier selection is a multi-criteria decision-making problem where several criteria are involved. In this study, GRA-BWM-TOPSIS was proposed to evaluate resilient suppliers. Seven resilience criteria which were Quality, Lead Time, Cost, Flexibility, Visibility, Responsiveness and Financial Stability have been proposed and five experts were selected to provide judgments for the selection process. By using the proposed method, the criteria importance levels were obtained using GRA and the criteria weights were computed using BWM, together with a consistency test. TOPSIS was applied to evaluate the suppliers’ performances. Through a case study in a food manufacturing company, 10 suppliers were evaluated and ranked. A validation process was carried out and the managerial implications were provided to ensure the effectiveness of the proposed model. GRA-BWM-TOPSIS is suitable for resilient supplier selection when there are uncertainties and incomplete data.

Multi-criteria decision-making toward supplier selection: exploration of PROMETHEE II method

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nishant Agrawal
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Supply Chain ◽  
Case Studies ◽  
Supplier Selection ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Promethee Ii ◽  
Wide Range ◽  
Managerial Implications

PurposeSupplier Selection (SS) is one of the vital decisions frequently executed by numerous industries. In recent times, the number of suppliers has increased enormously depending on a wide range of criteria. A selection of suppliers is a sensitive process that may impact various supply chain activities. The purpose of this research is to explore an underutilized technique called PROMETHEE II method for SS.Design/methodology/approachVarious tools and techniques are available under multi-criteria decision-making tools, which sometimes creates confusion in researchers' minds regarding reliability. PROMETHEE II was the most prominent method for ranking all available alternatives that ultimately avoid decision-making errors. To execute this equal and unequal weights approach has been used with three case studies.FindingsIn this research, three case studies have been used and soved with the help of the PROMETHEE II approach. The study also provides fundamental insights into the supplier's ranking on different criteria using sensitivity analysis. Further, criteria were divided as per benefits and non-beneficial to get a robust result. The pros and cons of PROMETHEE II approaches are also highlighted compared to other MCDM tools in this study.Originality/valueMost of the SS research uses either AHP or TOPSIS as per existing literature. There are very few attempts highlighted in the literature that use PROMETHEE II for the SS problem with sensitivity analysis. The proposed method is probable to motivate decision-makers to consider using a more sophisticated method like PROMETHEE II in supplier evaluation processes. This study opens a new direction for the ranking of suppliers in the field of the supply chain. The study also bears significant practical as well as managerial implications.

scholarly journals Supplier Selection Application Based on a Fuzzy Multiple Criteria Decision Making Methodology

2012 ◽  
Vol 3 (8) ◽  
pp. 7-18
Author(s):  
Hüseyin Selçuk KILIÇ
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supplier Selection ◽  
Selection Process ◽  
Multiple Criteria Decision Making ◽  
Working Environment ◽  
Multi Criteria Decision Making ◽  
Chain Management ◽  
Fuzzy Environment ◽  
Selection Methodology

Due to the increasing competitiveness in every sector of business life, being effective in every process of the organizations has been required. At this point, one of the most important processes is supplier selection process within the concept of supply chain management. If a systematic supplier selection methodology is performed, it will be possible to select the most suitable supplier and provide efficiency with respect to time, quality and cost. With this study, depending on the vague structure of the real working environment, an extensively used multi criteria decision making methodology TOPSIS is used within fuzzy environment. The proposed technique is applied in a real case and the most suitable suppliers are determined and ranked.

A DISCRETE TIME VARIABLE INDEX FOR SUPPORTING DYNAMIC MULTI-CRITERIA DECISION MAKING

2014 ◽  
Vol 22 (01) ◽  
pp. 1-22 ◽  
Author(s):  
YELENY ZULUETA ◽  
JUAN MARTÍNEZ-MORENO ◽  
RAFAEL BELLO PÉREZ ◽  
LUIS MARTÍNEZ
Keyword(s):  
Decision Making ◽  
Discrete Time ◽  
Supplier Selection ◽  
Selection Process ◽  
Time Variable ◽  
Multi Criteria Decision Making ◽  
Temporal Behavior ◽  
Time Periods ◽  
Rating Changes ◽  
Feasible Solutions

While Multi-Criteria Decision Making (MCDM) models are focused on selecting the best alternative from a finite number of feasible solutions according to a set of criteria, in Dynamic Multi-Criteria Decision Making (DMCDM) the selection process also takes into account the temporal performance of such alternatives during different time periods. In this paper a new discrete time variable index is proposed, to handling differences in temporal behavior of alternatives, which are not discriminated in preceding dynamic approaches, also considering rating-based perspectives for discrimination of the decision maker by modeling different attitudes to deal with the rating changes along different time periods. Moreover a DMCDM for supplier selection example is provided to illustrate the feasibility and effectiveness of the proposed index.

scholarly journals DECIDING THE BEST VEHICLE ALTERNATIVE BY USING A MULTI CRITERIA DECISION MAKING METHODOLOGY

2020 ◽  
Vol 5 (1) ◽  
pp. 108-114
Author(s):  
Muhammet AKPINAR ◽  
Muhammet YİĞİT ◽  
Erkan DOGAN ◽  
Mehmet AliÜSTÜNER
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Decision Maker ◽  
Selection Process ◽  
Industrial Engineering ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Bus Station ◽  
Criteria Importance ◽  
Hierarchy Process

Multi Criteria Decision Making is one of the main topics for Industrial Engineering which is especially use for decision making and for selection process. Analytic hierarchy process (AHP) is aheuristic methodology developed for analyze and estimate decisions. This methodology is also compare tangible and intangible digitizing criteria with respect to compare their priorities between each other and also it defines order of criteria importance. In this methodology experience and knowledge of decision maker is essential. In this way, it is easy to make subjective decision which has higher qualification. With this methodology, there will be vehicle selection and application for a University which use these vehicles to carry their students from bus station to university. To be able to solve this selection, budget, importance of system and other criteria will take into consideration.

scholarly journals Evaluation of rapeseed varieties using novel integrated fuzzy PIPRECIA – Fuzzy MABAC model

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246857
Author(s):  
Miroslav Nedeljković ◽  
Adis Puška ◽  
Suzana Doljanica ◽  
Saša Virijević Jovanović ◽  
Pavle Brzaković ◽  
...  
Keyword(s):  
Decision Making ◽  
Comparison Method ◽  
Assessment Method ◽  
Multi Criteria Decision Making ◽  
Vegetable Crops ◽  
Criteria Weights ◽  
Fuzzy Mcdm ◽  
Criteria Importance ◽  
Novi Sad ◽  
Importance Assessment

Decision making is constantly present in agriculture. Choosing the wrong variety carries the risk that the investment in terms of sowing does not pay off at all. Therefore, it is necessary to choose the variety that gives the best results. In order to achieve this, it is necessary to apply multi-criteria decision-making of available varieties, which is, in this paper, done on the example of hybrid varieties of rapeseed that were created by selection at the Institute of Field and Vegetable Crops in Novi Sad. By applying fuzzy logic, a novel integrated Multi-Criteria Decision-Making (MCDM) model is developed and rapeseed varieties were evaluated. For determining four main and 20 subcriteria, fuzzy PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) method has been applied based on fuzzy Bonferroni operator, while for ranking alternatives fuzzy MABAC (Multi-Attributive Border Approximation area Comparison) method has been used. The results obtained using the novel integrated fuzzy MCDM model showed that the variety A2 – Zorica has the best results, followed by A1 - NS Ras, while the worst results were seen by the variety A5 - Zlatna. These results were confirmed using other five fuzzy MCDM methods. Sensitivity analysis—changing criteria weights showed the worst results in the variety A6 - Jovana, which took last place in the application of 18 scenarios. The presented model and the results of this research will help farmers to solve this decision problem.

scholarly journals A New Extension to a Multi-Criteria Decision-Making Model for Sustainable Supplier Selection under an Intuitionistic Fuzzy Environment

2019 ◽  
Vol 11 (19) ◽  
pp. 5413 ◽  
Author(s):  
Patchara Phochanikorn ◽  
Chunqiao Tan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supplier Selection ◽  
Multi Criteria Decision Making ◽  
Sustainable Supply Chain ◽  
Suggested Approach ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Sustainable Supplier Selection ◽  
Decision Making Model

The increase of environmental pollution has led to the rise of sustainable awareness in recent years. This trend has motivated various industries to recognize the importance of implementing sustainable supply chain practices to seek economic, environmental and social advantages. From a sustainability perspective, selecting a suitable supplier is the main component of modern enterprises. It is also a challenging problem since several criteria concerning supplier selection are interdependent with a complex character. Therefore, the contribution of this paper is a new extension to multi-criteria decision-making model (MCDM) under an intuitionistic fuzzy environment for sustainable supplier selection (SSS) based on sustainable supply chain management SSCM practices. It consists of intuitionistic fuzzy set theory (IFS) with a decision making trial and evaluation laboratory (DEMATEL) combined with an analytic network process (ANP) to identify uncertainties and interdependencies among criteria as well as analyzing the criteria weights. We modified Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) to evaluate and rank the desired level of sustainable supplier performance. The suggested approach is conducted by a case study from the Thailand palm oil industry. Results show that the proposed model not only can find the most suitable sustainable supplier, but also the enterprises can aid their suppliers in improving sustainability by using the proposed method and can improve enterprises’ socio-environmental performance, which is key to achieving sustainable development.

scholarly journals A literature review of criteria selection in supplier

2018 ◽  
Vol 11 (4) ◽  
pp. 680 ◽  
Author(s):  
Agus Ristono ◽  
Pratikto ◽  
Purnomo Budi Santoso ◽  
Ishardita Pambudi Tama
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Supplier Selection ◽  
Research Direction ◽  
Multi Criteria Decision Making ◽  
Advantages And Disadvantages ◽  
Decision Methods ◽  
New Ideas ◽  
Working Out ◽  
Selection Of

Purpose: This paper proposes a new model for further research on how to select criteria in supplier selection, through a literature review and analysis of the advantages and disadvantages of previously used methods.Design/methodology/approach: The methods used to select criteria in supplier selection were extracted from various online academic databases.  The weaknesses and advantages of these methods were then analyzed. Based on these findings, several opportunities for improvement are proposed for further research. Finally, criteria design methods for the selection of suppliers are proposed using statistical multi-criteria decision making (S-MCDM) methods.Findings: Direction and guidance for subsequent research to select the criteria used in supplier selection, based on the advantages and disadvantages of the decision methods used.Research limitations/implications: Limitations of this study are that it is focused on the methods of criteria design in supplier selection.Practical implications: This study can provide a research direction on the selection of criteria for supplier selection.Social implications: This study provides ongoing guidance and avenues for further research.Originality/value: New ideas for working out the developmental strategy for criteria selection are provided by statistical MCDM methods in supplier selection.

Supplier selection in agile supply chain

2016 ◽  
Vol 23 (7) ◽  
pp. 2027-2060 ◽  
Author(s):  
Chhabi Ram Matawale ◽  
Saurav Datta ◽  
S.S. Mahapatra
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supplier Selection ◽  
Partner Selection ◽  
Fuzzy Topsis ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Agile Supply Chain ◽  
Ranking Order ◽  
Fuzzy Moora

Purpose The recent global market trend is seemed enforcing existing manufacturing organizations (as well as service sectors) to improve existing supply chain systems or to take up/adapt advanced manufacturing strategies for being competitive. The concept of the agile supply chain (ASC) has become increasingly important as a means of achieving a competitive edge in highly turbulent business environments. An ASC is a dynamic alliance of member enterprises, the formation of which is likely to introduce velocity, responsiveness, and flexibility into the manufacturing system. In ASC management, supplier/partner selection is a key strategic concern. Apart from traditional supplier/partner selection criteria; different agility-related criteria/attributes need to be taken under consideration while selecting an appropriate supplier in an ASC. The paper aims to discuss these issues. Design/methodology/approach Therefore, evaluation and selection of potential supplier in an ASC have become an important multi-criteria decision making problem. Most of the evaluation criteria being subjective in nature; traditional decision-making approaches (mostly dealing with objective data) fail to solve this problem. However, fuzzy set theory appears an important mean to tackle with vague and imprecise data given by the experts. In this work, application potential of the fuzzy multi-level multi-criteria decision making (FMLMCDM) approach proposed by Chu and Velásquez (2009) and Chu and Varma (2012) has been examined and compared to that of Fuzzy-techniques for order preference by similarity to ideal solution (TOPSIS) and Fuzzy-MOORA in the context of supplier selection in ASC. Findings It has been observed that similar ranking order appears in FMLMCDM as well as Fuzzy-TOPSIS. In Fuzzy-MOORA, the best alternative appears same as in case of FMLMCDM as well as Fuzzy-TOPSIS; but for other alternatives ranking order differs. A comparative analysis has also been made in view of working principles of FMLMCDM, Fuzzy-TOPSIS as well as Fuzzy-MOORA. Originality/value Application feasibility of FMLMCDM approach has been verified in comparison with Fuzzy-TOPSIS and Fuzzy-MOORA in the context of agile supplier selection.

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