Journal ArticleDOI
Applying a hybrid BWM-VIKOR approach to supplier selection: a case study in the Iranian agricultural implements industry
TLDR
This paper proposes a supplier selection framework for agricultural implements industry using best worst method (BWM) along with a well-known MCDM technique with the name of VIKOR, and it is clear that proposed framework could be effective like as existing approaches for supplier selection problems.Abstract:
In today's economy, due to the importance of quality and quantity of the product, supplier selection plays a significant role in procurement planning of each factory. Agricultural implements industry is one of the industries included in this sensitivity. Thus, in this paper a supplier selection framework for this industry is considered. For this purpose, a strong approach, namely best worst method (BWM) along with a well-known MCDM technique with the name of VIKOR are employed. At first, the criteria with a view to the literature review and opinions of industry experts are identified. Afterward weights of the criteria are obtained by BWM and then candidate suppliers are ranked by using BWM and VIKOR. In order to check the quality of expert's inputs, the consistency tests are applied. Moreover, to investigate the robustness of the approach sensitivity analysis is considered. Finally, according to the obtained results, it is clear that proposed framework could be effective like as existing approaches for supplier selection problems. Also, agricultural managers implementing industries need simple methodologies to select the proper suppliers and improve their situation.read more
Citations
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Journal ArticleDOI
The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what's next?
TL;DR: This paper concentrates on the state-of-the-art survey of the BWM based on the in-depth analysis over the publications concerning this method published from 2015 to 26th, January 2019.
Journal ArticleDOI
Designing and solving a bi-level model for rice supply chain using the evolutionary algorithms
TL;DR: The proposed model aims to minimize total cost with respect to the two decision makers' opinions and two well-known meta-heuristic algorithms including Genetic Algorithm and Particle Swarm Optimization along with two hybrid algorithms are utilized.
Journal ArticleDOI
Application of Improved Best Worst Method (BWM) in Real-World Problems
TL;DR: The improved BWM (BWM-I) offers the possibility for decision-makers to express their preferences even in cases where there is more than one best and worst criterion, and presents the applicability of this method to defining the weight coefficients of the criteria in the field of renewable energy and their ranking.
Journal ArticleDOI
An interval valued neutrosophic decision-making structure for sustainable supplier selection
Morteza Yazdani,Ali Ebadi Torkayesh,Željko Stević,Prasenjit Chatterjee,Sahand Asgharieh Ahari,Violeta Doval Hernandez +5 more
TL;DR: In this article, the authors proposed a sustainable supplier evaluation structure under multiple criteria and interval valued fuzzy neutrosophic (IVFN) model for evaluation and selection of suppliers for a dairy company in Iran.
Journal ArticleDOI
Bio-recovery of municipal plastic waste management based on alan integrated decision-making framework
Mohammad Mahdi Shahsavar,Mehran Akrami,Zahra Kian,Mohammad Gheibi,Amir Mohammad Fathollahi-Fard,Mostafa Hajiaghaei-Keshteli,Kourosh Behzadian +6 more
TL;DR: In this paper , a case study of a bio-recovery of municipal different plastic wastes management based on a new integrated multi-criterion decision-making (MCDM) approach was conducted in Mashahd, Iran, where the proposed integrated MCDM framework includes Shannon entropy (SE), Ordered Weighted Aggregation (OWA), Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), ELimination Et Choice Translating Reality (ELECTRE) systems in an intelligent way.
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