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A hybrid framework for fleet management with quality concerns: a case for the food industry

Naila Fares (Universitat Politecnica de Valencia - Campus de Gandia, Grao De Gandia, Spain)
Jaime Lloret (Universitat Politecnica de Valencia - Campus de Gandia, Grao De Gandia, Spain)
Vikas Kumar (Bristol Business School, University of the West of England, Bristol, UK)
Guilherme F. Frederico (School of Management, Federal University of Paraná, Curitiba, Brazil)
Oulaid Kamach (Ecole Nationale des Sciences Appliquées de Tanger, Université Abdelmalek Essaadi, Tanger, Morocco)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Article publication date: 16 May 2023

128

Abstract

Purpose

The purpose of the study is to propose a framework for fleet management and make suitable distribution solution choices in the food industry.

Design/methodology/approach

This study reviews the literature to examine food distribution criteria. These criteria are used in the analytic hierarchy process (AHP) assessment and combined with discrete events simulation in a structured framework, which is validated through an empirical study.

Findings

The empirical case results demonstrate that both the AHP and discrete events simulation converge toward the same solution in most cases.

Originality/value

This study contributes to the literature on distribution management and develops a framework that can both guide future research and aid logistics practitioners in analysing distribution decision-making systems in dynamic environments.

Keywords

Citation

Fares, N., Lloret, J., Kumar, V., Frederico, G.F. and Kamach, O. (2023), "A hybrid framework for fleet management with quality concerns: a case for the food industry", International Journal of Quality & Reliability Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJQRM-08-2022-0241

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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