Abstract
The fresh fruit agricultural and distribution sector is faced with risks and uncertainties from climate change, water scarcity, land-use increase for industrial and urban development, consumer behavior, and price volatility. The planning framework for production and distribution is highly complex as a result. Mathematical models have been developed over the decades to deal with this complexity. With improvements in both processor speed and memory, these models are becoming increasingly sophisticated. This review focuses on the recent progress in mathematically based decision making to account for uncertainties in the fresh fruit supply chain. The models in the literature are mostly based on linear and mixed integer programming and involve variants such as stochastic programming and robust optimization. The functional areas of application include planting, harvest optimization, logistics and distribution. The perishability of the fresh fruit supply chain is an important issue as is the cycle time of cultivation and harvest.
| Original language | English |
|---|---|
| Pages (from-to) | 519-541 |
| Number of pages | 23 |
| Journal | AgriEngineering |
| Volume | 3 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Sept 2021 |
Bibliographical note
Funding Information:Funding: This research was funded by the Vietnam International Education Development (VIED) via the doctoral scholarship program 911 of T-D.N.
Funding Information:
Acknowledgments: The first author acknowledges the Vietnam International Education Development (VIED) via the 911 research scholarship program. We would like to thank three anonymous reviewers for their very constructive comments and suggestions.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
ASJC Scopus Subject Areas
- Agronomy and Crop Science
- Food Science
- Horticulture
- Engineering (miscellaneous)
