Improving the capacity of local food network through local food hubs’ development

Author:

Perdana Tomy1,Chaerani Diah2,Hermiatin Fernianda Rahayu3,Achmad Audi Luqmanul Hakim4,Fridayana Ananda4

Affiliation:

1. Department of Agro Socio-Economics, Faculty of Agriculture, Universitas Padjadjaran , Jl. Raya Bandung-Sumedang KM 21 , Sumedang , West Java 45363 , Indonesia

2. Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran , Jl. Raya Bandung-Sumedang KM 21 , Sumedang , West Java 45363 , Indonesia

3. Master of Science in Management, School of Business and Management, Institut Teknologi Bandung , Jl. Ganesa No.10 , Bandung City , West Java 40132 , Indonesia

4. Agricultural Logistics and Supply Chain System (AGRILOGICS), Department of Agro Socio-Economics, Faculty of Agriculture, Universitas Padjadjaran , Jl. Raya Bandung-Sumedang KM 21 , Sumedang , West Java 45363 , Indonesia

Abstract

Abstract The COVID-19 pandemic and humanitarian challenges such as war and conflict, climate changes, and economic crises bring unexpected humanitarian challenges, such as food insecurity. Especially for developing countries, this is a double crisis, food poverty and COVID-19 pandemic. This situation needs an alternative food network (AFN), which can improve the local food sources to fulfill the food demand. The local food hubs’ (LFHs) development as an AFN that considers local producers and customers could serve as an alternative strategy to reduce the uncertainty of food availability. However, the challenge in developing LFH in developing countries is the problem of logistics efficiency. Therefore, this study discusses the development of food logistics efficiency by determining the optimum location of LFH and the fulfillment of food supply for each optimum location of LFH in rural areas. Robust optimization is applied to the Multi-Objective Many-to-Many Location-Routing Problem (MOMMLRP) model to handle the uncertain demand and production capacity. This study focused on West Java Province, Indonesia, as areas that represent developing countries. Based on our result, eight sub-districts have been determined as an optimum location to develop LFHs. This study also elaborates on the food network in the worst situation that needs regional food hubs’ (RFHs) support. The RFH support can be used when the LFH faces an unexpected problem that cannot fulfill their demand.

Publisher

Walter de Gruyter GmbH

Subject

General Agricultural and Biological Sciences

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3