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A grey ordinal priority approach for healthcare waste disposal location selection

Santonab Chakraborty (National Institute of Industrial Engineering, Mumbai, India)
Rakesh D. Raut (National Institute of Industrial Engineering, Mumbai, India)
T.M. Rofin (National Institute of Industrial Engineering, Mumbai, India)
Shankar Chakraborty (Department of Production Engineering, Jadavpur University, Kolkata, India)

Grey Systems: Theory and Application

ISSN: 2043-9377

Article publication date: 31 July 2023

Issue publication date: 24 October 2023

152

Abstract

Purpose

Increasing public consciousness and demand for sustainable environment make selection of a safe location for effective disposal of healthcare waste (HCW) a challenging issue. This problem becomes more complicated due to involvement of multiple decision makers having varying knowledge and interest, conflicting quantitative and qualitative evaluation criteria, and presence of several alternative locations.

Design/methodology/approach

To efficiently resolve the problem, the past researchers have already coupled different multi-criteria decision-making tools with uncertainty models and criteria weight measurement techniques, which are time-consuming and highly computationally complex. Based on involvement of a group of experts expressing their opinions with respect to relative importance of criteria and performance of alternative locations against each criterion, this paper proposes application of ordinal priority approach (OPA) integrated with grey numbers to solve an HCW disposal location selection problem.

Findings

The grey OPA can simultaneously estimate weights of the experts, criteria and locations relieving the decision makers from complicated computational steps. The potentiality of grey OPA in solving an HCW disposal location selection problem is demonstrated here using an illustrative example consisting of three experts, six criteria and four alternative locations.

Originality/value

The derived results show that it can be employed to deal with real-time HCW disposal location selection problems in uncertain environment providing acceptable and robust decisions. It relieves the experts from pair-wise comparisons of criteria, normalization of data, identification of ideal and anti-ideal solutions, aggregation of information and so on, while arriving at the most consistent decision with minimum computational effort.

Keywords

Citation

Chakraborty, S., Raut, R.D., Rofin, T.M. and Chakraborty, S. (2023), "A grey ordinal priority approach for healthcare waste disposal location selection", Grey Systems: Theory and Application, Vol. 13 No. 4, pp. 767-784. https://doi.org/10.1108/GS-05-2023-0040

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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