Designing a fresh food supply chain network: an application of nonlinear programming
type: Item
instance of: scholarly article
title: Designing a fresh food supply chain network: an application of nonlinear programming
zbMATH Open document ID: 1397.90088
DOI: 10.1155/2013/506531
author: Yu-Chung Tsao
published in: Journal of Applied Mathematics
publication date: 2018-10-10T00:00:00Z
review text: Summary: In today's business environment, many fresh food companies have complex supply networks to distribute their products. For example, agricultural products are distributed through a multiechelon supply chain which includes agricultural association, agricultural produce marketing corporations (APMCs), markets, and so forth. In this paper a fresh produce supply network model is designed to determine the optimal service area for APMCs, the replenishment cycle time of APMCs, and the freshness-keeping effort, while maximizing the total profit. The objective is to address the integrated facility location, inventory allocation, and freshness-keeping effort problems. This paper develops an algorithm to solve the nonlinear problem, provides numerical analysis to illustrate the proposed solution procedure, and discusses the effects of various system parameters on the decisions and total profits. A real case of an agricultural product supply chain in Taiwan is used to verify the model. Results of this study can serve as a reference for business managers and administrators.
Mathematics Subject Classification ID: 90B10
Mathematics Subject Classification ID: 90C90
Mathematics Subject Classification ID: 90B50
Mathematics Subject Classification ID: 90C30
zbMATH DE Number: 6950712
Wikidata QID: Q59002687
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2013/506531
OpenAlex ID: W1977955596
description: scientific article; zbMATH DE number 6950712