Work

Optimization Techniques in Perishable Food Supply Chains: a Systematic Literature Review and Comparative Analysis

Year: 2025

Type: review

Abstract: The complexity of perishable food supply chains must be addressed with optimisation techniques in order to increase productivity, reduce waste, and improve overall performance. In the context of perishable food supply chains, this systematic literature review and comparative analysis thoroughly evaluate a wide range of optimisation techniques. Various techniques, including linear programming, metaheuristics, dynamic programming, and simulation optimisation are categorised, assessed, and compared in this paper. This review offers insightful information on the benefits, drawbacks, and applicability of various optimisation techniques. Researchers and practitioners looking to choose the best methods for enhancing perishable food supply chains will find this study to be a useful resource.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15470763

Authors: Aditya Kasar, Mukund Madhav Tripathi, Divyang Jadav, Sainath Magar, Amit Bathia

Institution: Narsee Monjee Institute of Management Studies

Language: English

Topic: Supply Chain and Inventory Management

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

SDGs: Responsible consumption and production, Zero hunger, Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6912141559

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