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Open AccessArticle

Development of a Novel Integrated CCSD-ITARA-MARCOS Decision-Making Approach for Stackers Selection in a Logistics System

1
Department of International Trade and Logistics, Faculty of Economics and Administrative Sciences, Sivas Cumhuriyet University, Sivas 58140, Turkey
2
Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Belgrade, Serbia, Jevrejska 24, 11000 Belgrade, Serbia
3
Technical Faculty in Bor, University of Belgrade, Vojske Jugoslavije 12, 19210 Bor, Serbia
4
Department of Project Management, Ho Chi Minh City Open University, Ho Chi Minh City 7000000, Vietnam
*
Author to whom correspondence should be addressed.
Mathematics 2020, 8(10), 1672; https://doi.org/10.3390/math8101672
Received: 8 September 2020 / Revised: 23 September 2020 / Accepted: 28 September 2020 / Published: 1 October 2020
(This article belongs to the Special Issue Dynamics under Uncertainty: Modeling Simulation and Complexity)
The main goal of this paper is to propose a Multiple-Criteria Decision-Making (MCDM) approach that will facilitate decision-making in the field of logistics—i.e., in the selection of the optimal equipment for performing a logistics activity. For defining the objective weights of the criteria, the correlation coefficient and the standard deviation (CCSD method) are applied. Furthermore, for determining the semi-objective weights of the considered criteria, the indifference threshold-based attribute ratio analysis method (ITARA) is used. In this way, by combining these two methods, the weights of the criteria are determined with a higher degree of reliability. For the final ranking of the alternatives, the measurement of alternatives and ranking according to the compromise solution method (MARCOS) is utilized. For demonstrating the applicability of the proposed approach, an illustrative case study pointing to the selection of the best manual stacker for a small warehouse is performed. The final results are compared with the ones obtained using the other proved MCDM methods that confirmed the reliability and stability of the proposed approach. The proposed integrated approach shows itself as a suitable technique for applying in the process of logistics equipment selection, because it defines the most influential criteria and the optimal choice with regard to all of them in a relatively easy and comprehensive way. Additionally, conceiving the determination of the criteria with the combination of objective and semi-objective methods enables defining the objective weights concerning the attitudes of the involved decision-makers, which finally leads to more reliable results. View Full-Text
Keywords: MCDM; the CCSD method; the ITARA method; the MARCOS method; stackers; logistics MCDM; the CCSD method; the ITARA method; the MARCOS method; stackers; logistics
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MDPI and ACS Style

Ulutaş, A.; Karabasevic, D.; Popovic, G.; Stanujkic, D.; Nguyen, P.T.; Karaköy, Ç. Development of a Novel Integrated CCSD-ITARA-MARCOS Decision-Making Approach for Stackers Selection in a Logistics System. Mathematics 2020, 8, 1672. https://doi.org/10.3390/math8101672

AMA Style

Ulutaş A, Karabasevic D, Popovic G, Stanujkic D, Nguyen PT, Karaköy Ç. Development of a Novel Integrated CCSD-ITARA-MARCOS Decision-Making Approach for Stackers Selection in a Logistics System. Mathematics. 2020; 8(10):1672. https://doi.org/10.3390/math8101672

Chicago/Turabian Style

Ulutaş, Alptekin; Karabasevic, Darjan; Popovic, Gabrijela; Stanujkic, Dragisa; Nguyen, Phong T.; Karaköy, Çağatay. 2020. "Development of a Novel Integrated CCSD-ITARA-MARCOS Decision-Making Approach for Stackers Selection in a Logistics System" Mathematics 8, no. 10: 1672. https://doi.org/10.3390/math8101672

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