Supplier Evaluation With BWM and Fuzzy CODAS Methods

2021 ◽  
pp. 335-351
Author(s):  
Alptekin Ulutaş
Keyword(s):  
Supplier Selection ◽  
Selection Problem ◽  
Supplier Evaluation ◽  
Important Process ◽  
Research Gap ◽  
Supplier Selection Problem ◽  
Selection Of

The selection of supplier is a crucial process. The main objective of supplier selection problem is to determine the most suitable suppliers with respect to the company's goals. The selection of supplier is, therefore, an important process for the firm to obtain goals of business. MCDM methods are useful to address this problem as supplier selection problem contains many criteria. An integrated MCDM model comprising BWM and fuzzy CODAS is proposed to address a supplier selection problem for a Turkish furniture workshop in this study. This study aims to fill the research gap in the literature. This research gap is that the number of studies using the BWM and CODAS method together is limited.

scholarly journals NEW INTEGRATION OF MCDM METHODS AND QFD IN THE SELECTION OF GREEN SUPPLIERS

2016 ◽  
Vol 17 (6) ◽  
pp. 1097-1113 ◽  
Author(s):  
Morteza YAZDANI ◽  
Sarfaraz HASHEMKHANI ZOLFANI ◽  
Edmundas Kazimieras ZAVADSKAS
Keyword(s):  
Supply Chain ◽  
Operations Management ◽  
Evaluation System ◽  
Supplier Selection ◽  
Selection Problem ◽  
Internal Variables ◽  
Supplier Evaluation ◽  
Customer Requirements ◽  
Green Suppliers ◽  
Supplier Selection Problem

Currently, topics of operations management and supply chain systems have been gaining more interest of researchers. Efficiency in supply chain activities and operations management firstly benefit organisations. One of the main operations in supply chain systems is the collaboration with selected suppliers. Various models have been proposed in terms of supplier evaluation and selection studies. The invention of a new integrated frame for the building of an effective supplier evaluation system is a multi-attribute task that consists of several factors as external and internal variables. This paper delivers a creative integrated model of supplier selection problem using SWARA, QFD and a new MCDM tool called WASPAS. This work considers customer attitudes in the process of supplier evaluation. To give more weight to customer requirements, a new SWARA method has been designed; additionally, QFD and the house of quality matrix have been used to transform customer requirements into the supplier evaluation index. Finally, WASPAS has been used to rate the performance of suppliers and present supplier ranking scores. Application of initiative ways to propose a systematic supplier selection problem has always been encouraged by supply chain managers. This topic has been addressed in this paper as well.

scholarly journals COMPARISON OF THREE FUZZY MCDM METHODS FOR SOLVING THE SUPPLIER SELECTION PROBLEM

2019 ◽  
Vol 17 (3) ◽  
pp. 455 ◽  
Author(s):  
Goran Petrović ◽  
Jelena Mihajlović ◽  
Žarko Ćojbašić ◽  
Miloš Madić ◽  
Dragan Marinković
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Selection Problem ◽  
Management Decision ◽  
Chain Management ◽  
Wide Range ◽  
Supplier Selection Problem ◽  
Selection Of

The evaluation and selection of an optimal, efficient and reliable supplier is becoming more and more important for companies in today’s logistics and supply chain management. Decision-making in the supplier selection domain, as an essential component of the supply chain management, is a complex process since a wide range of diverse criteria, stakeholders and possible solutions are embedded into this process. This paper shows a fuzzy approach in multi – criteria decision-making (MCDM) process. Criteria weights have been determined by fuzzy SWARA (Step-wise Weight Assessment Ratio Analysis) method. Chosen methods, fuzzy TOPSIS (Technique for the Order Preference by Similarity to Ideal Solution), fuzzy WASPAS (Weighted Aggregated Sum Product Assessment) and fuzzy ARAS (Additive Ratio Assessment) have been used for evaluation and selection of suppliers in the case of procurement of THK Linear motion guide components by the group of specialists in the “Lagerton” company in Serbia. Finally, results obtained using different MCDM approaches were compared in order to help managers to identify appropriate method for supplier selection problem solving.

scholarly journals Agile Supplier Evaluation Using Hierarchical TOPSIS Method

2021 ◽  
Vol 18 ◽  
pp. 12-19
Author(s):  
Mehtap Dursun ◽  
Osman Ogunclu
Keyword(s):  
Supplier Selection ◽  
Business Environment ◽  
Selection Problem ◽  
Supplier Evaluation ◽  
Topsis Method ◽  
Solution Approach ◽  
Order Preference ◽  
Design Production ◽  
Supplier Selection Problem ◽  
Airline Company

Increased competitiveness of the market enforces companies to respond quickly and appropriately to sudden changes in the market in order to adapt to continuously updated conditions of business environment and keep their survivals. Agility concept rises at this level due to necessity of coping with unpredictable changes and uncertainty. Agility enables the firms responsiveness in a quick and an effective way to the set of interdependent changes required in design, production, marketing and organization of the companies. This study addresses agile supplier selection problem. Hierarchical fuzzy technique for order preference by similarity to ideal solution approach (TOPSIS) is proposed for agile supplier selection problem in an airline company.

Integrated FAHP-VIKOR model for green supplier selection in a Nickle coating SME

2020 ◽  
pp. 133-139
Author(s):  
Sanatan Ratna ◽  
B Kumar
Keyword(s):  
Staff Training ◽  
Supplier Selection ◽  
Fuzzy Ahp ◽  
Research Work ◽  
Supplier Evaluation ◽  
Green Supplier Selection ◽  
The Past ◽  
Coating Industry ◽  
Sustainability Issue ◽  
Selection Of

In the past few decades, there has been lot of focus on the issue of sustainability. This has occurred due to the growing concerns related to climate change and the growing awareness about environmental concerns. Also, the competition at global level has led to the search for the most sustainable route in the industries. The current research work deals with the selection of green supplier in a Nickle coating industry based on certain weighted green attributes. For this purpose, a hybrid tool comprising of Fuzzy AHP (Fuzzy Analytical Hierarchy) and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) is used. The Fuzzy AHP is used for assigning proper weights to the selected criteria for supplier evaluation, while VIKOR is used for final supplier selection based on the weighted criteria. The three criterions for green supplier selection are, Ecological packaging, Corporate socio-environmental responsibility and Staff Training. The outcome of the integrated model may serve as a steppingstone to other SMEs in different sectors for selecting the most suitable supplier for addressing the sustainability issue.

A multi-objective supplier selection model for green supply chain network under uncertainty

2018 ◽  
Vol 13 (3) ◽  
pp. 605-625 ◽  
Author(s):  
Mohammad Khalilzadeh ◽  
Hadis Derikvand
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Objective Function Value ◽  
Selection Problem ◽  
Green Supply Chain ◽  
Content Type ◽  
Multi Objective ◽  
Proposed Model ◽  
Objective Model ◽  
Supplier Selection Problem

Purpose Globalization of markets and pace of technological change have caused the growing importance of paying attention to supplier selection problem. Therefore, this study aims to choose the best suppliers by providing a mathematical model for the supplier selection problem considering the green factors and stochastic parameters. This paper aims to propose a multi-objective model to identify optimal suppliers for a green supply chain network under uncertainty. Design/methodology/approach The objective of this model is to select suppliers considering total cost, total quality parts and total greenhouse gas emissions. Also, uncertainty is tackled by stochastic programming, and the multi-objective model is solved as a single-objective model by the LP-metric method. Findings Twelve numerical examples are provided, and a sensitivity analysis is conducted to demonstrate the effectiveness of the developed mathematical model. Results indicate that with increasing market numbers and final product numbers, the total objective function value and run time increase. In case that decision-makers are willing to deal with uncertainty with higher reliability, they should consider whole environmental conditions as input parameters. Therefore, when the number of scenarios increases, the total objective function value increases. Besides, the trade-off between cost function and other objective functions is studied. Also, the benefit of the stochastic programming approach is proved. To show the applicability of the proposed model, different modes are defined and compared with the proposed model, and the results demonstrate that the increasing use of recyclable parts and application of the recycling strategy yield more economic savings and less costs. Originality/value This paper aims to present a more comprehensive model based on real-world conditions for the supplier selection problem in green supply chain under uncertainty. In addition to economic issue, environmental issue is considered from different aspects such as selecting the environment-friendly suppliers, purchasing from them and taking the probability of defective finished products and goods from suppliers into account.

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