A Single Period Deterministic Inventory Routing Model for Solving Problems in the Agriculture Industry

Muhammad Khodri Harahap, Afif Zuhri and Abdul Rahim, Mohd Kamarul Irwan (2022) A Single Period Deterministic Inventory Routing Model for Solving Problems in the Agriculture Industry. Journal of Applied Science and Engineering, 25 (6). pp. 945-950. ISSN 27089967

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Abstract

This paper constructs the problem of dealing inventory and the transportation in the supply chain in the agriculture industry, also to investigate the capabilities of the distribution process of perishable products (vegetables) from the distribution centre (DC) to a set of customers to minimize the total operational cost. This research proposed an optimisation model to present the actual problem that happened in a real-life situation. The simulation of the transportation problem was developed using an algebraic modelling language which is called a mathematical programming language (AMPL) to determine an optimal solution. Thus, by setting the delivery routes for DC, based on the number of products that have been set for each customer, it helps to find an optimal inventory routing problem (IRP). As a result, an optimization model developed, it is predicted that agriculture firms can achieve an optimal solution by reducing their operational cost, especially on the inventory and transportation cost

Item Type:	Article
Uncontrolled Keywords:	Supply Chain Optimization, Agriculture, Inventory Routing Problem, Operations Research, Sustainability ©The Author(’s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited
Subjects:	H Social Sciences > HD Industries. Land use. Labor
Divisions:	School of Technology Management & Logistics
Depositing User:	Mr. Izhar Hj. Hashim
Date Deposited:	23 Jan 2025 12:02
Last Modified:	23 Jan 2025 12:02
URI:	https://repo.uum.edu.my/id/eprint/31951

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