Optimization Models for Harvest and Production Planning in Agri-Food Supply Chain: A Systematic Review


Taskiner T., BİLGEN B.

LOGISTICS-BASEL, vol.5, no.3, 2021 (ESCI) identifier

  • Publication Type: Article / Review
  • Volume: 5 Issue: 3
  • Publication Date: 2021
  • Doi Number: 10.3390/logistics5030052
  • Journal Name: LOGISTICS-BASEL
  • Journal Indexes: Emerging Sources Citation Index (ESCI)
  • Keywords: agri-food supply chain, harvest planning, production planning, literature review, BI-OBJECTIVE OPTIMIZATION, SUGAR-CANE INDUSTRY, NETWORK DESIGN, DECISION-MAKING, MULTIOBJECTIVE OPTIMIZATION, POSTHARVEST LOSS, MANAGEMENT, FRAMEWORK, UNCERTAINTY, LOGISTICS
  • Dokuz Eylül University Affiliated: Yes

Abstract

This paper provides a comprehensive review of the research done on optimization models that focus on harvest and production planning for food crops. Optimization models have been used extensively in providing insights to decision-makers on issues related to harvest and production planning in agri-food supply chains. First, we conduct an extensive literature review on previous survey articles to distinguish our research from others. Based on the previous reviews, a new classification scheme is developed to classify articles systematically. Harvest and production planning problems in agri-food supply chains are analyzed through three sections: problem scope, model characteristics, and modeling approach. Neglected problem topics and several promising research directions are presented to stimulate research interest on agri-food supply chains specifically planning of harvest and production.