A dynamic performance evaluation model suggestion for performance-based logistics

Abstract

Purpose

This study proposes a dynamic performance evaluation model to support the material availability of the public institution under performance- based logistics (PBL) and to select the most appropriate service provider.

Design/methodology/approach

The model consists of four stages. In the first stage, a criteria set to evaluate alternatives is created. In the second stage, the DEA-MTFP index method is applied for performance evaluation of the alternatives by using crisp data. In the third stage, IFS theory is utilized for aggregating decision-maker judgments on alternatives, and in the last stage, the results of both methods are turned into single value, and it is selected as the most suitable alternative.

Findings

It is verified that the proposed approach can be implemented to the real-life dynamic multi-criteria decision-making (MCDM) problem that have crisp and fuzzy data under the PBL strategy.

Practical implications

This paper offers an integrated approach for performance analysis of service providers in a dynamic MCDM problem in which crisp and fuzzy data are used together. To illustrate applicability and validity of the proposed model, it is applied to a real-life problem.

Originality/value

This paper utilizes the DEA-MTFP index method and IFS theory in an integrated way.

Citation

Agdas, M. and Gencer, C. (2022), "A dynamic performance evaluation model suggestion for performance-based logistics", Kybernetes, Vol. 51 No. 8, pp. 2578-2602. https://doi.org/10.1108/K-12-2020-0867