Performance Evaluation of Municipal Waste Collection Crews Using an Integrated FUCOM–MARCOS Model

Authors

DOI:

https://doi.org/10.54327/set2026/v6.iS1.387

Keywords:

Human resources, employee performance evaluation, Multi-Criteria Decision Making (MCDM), waste collection and transport vehicles, FUCOM, MARCOS

Abstract

Human resource management today, in an era of rapid technological achievements and a changing work environment, represents a great challenge. Particular attention is being directed toward the digitalization of business operations and technically modern management, while human resources still remain in the background. Teamwork, adaptability to new circumstances and quick response to problem-solving are the central part of this paper. The aim of the paper is to conduct an integrated performance evaluation of utility vehicle crews that collect and transport waste in the city of Doboj (Bosnia and Herzegovina) on a daily basis, using multi-criteria decision-making (MCDM) methods. Five crews (each crew consists of a driver and two support workers) work daily to keep the city clean while properly disposing of municipal waste. The selection of the best-ranked utility vehicle crew for the month of March 2026 was carried out using the FUCOM (Full Consistency Method) and MARCOS (Measurement Alternatives and Ranking according to COmpromise Solution) methods. The FUCOM method was used to determine the weights of nine influential criteria, while the MARCOS method was applied to rank five alternatives of utility vehicle crews. The research results showed that alternative A3 was ranked as the best-rated crew in the observed period, achieving the highest value of the utility function f(K3) = 0.878. The value f(K4) = 0.433 belongs to the worst alternative (A4) and represents the lower reference value within the MARCOS model.

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Published

02.09.2026

How to Cite

[1]
J. Ateljević, Željko Stević, Boris Novarlić, B. Gitolendia, and I. Tanackov, “Performance Evaluation of Municipal Waste Collection Crews Using an Integrated FUCOM–MARCOS Model”, Sci. Eng. Technol., vol. 6, no. S1, pp. 105–118, Sep. 2026, doi: 10.54327/set2026/v6.iS1.387.

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