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

Abstract

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.

Picture Fuzzy MCDM Approach for Risk Assessment of Railway Infrastructure

“…Stević et al [14] developed the MARCOS method and used it to solve the sustainable supplier selection problem in the healthcare industry. Ulutaş et al [16] integrated the correlation coefficient and standard deviation (CCSD), indifference threshold-based attribute ratio analysis (ITARA), and MARCOS methods to select manual stacker for performing logistics activities in warehouses.…”

“…The picture fuzzy risk factor importance matrix is provided in Table 8. It is determined based on ten linguistic risk factor importance matrices (Table 7) with the help of Equation (16). Phase 2.…”

Dynamics under Uncertainty: Modeling Simulation and Complexity

“…This issue contains the successful invited submissions [1][2][3][4][5][6][7][8][9][10][11] to a Special Issue of Mathematics on the subject area of "Dynamics under Uncertainty: Modeling Simulation and Complexity".…”

“…Li et al [4] investigated the problems of state feedback and the static output feedback preview controller for uncertain discrete-time multiple-input multiple-output The geographical distribution of the authors (published papers) is presented in Table 1. Published submissions are related to road traffic risk analysis [1], dual-rotor systems [2], multi-criteria decision making [3,5,6,8,9], MIMO discrete-time systems [4], the classification and diagnosis of brain disease [7], data mining [10], and empathic building [11].…”

“…Pamučar et al [8] presented an improved Best Worst Method for determining criteria weights in multi-criteria decision making. Ulutaş et al [9] proposed a multiple-criteria decision-making approach for the selection of the optimal equipment for performing logistics activity. For defining the objective weights of the criteria, they applied the correlation coefficient and the standard deviation, and for the final ranking of the alternatives, they utilized the MARCOS method.…”