Harvest Planning in Apple Orchards Using an Optimization Model
Marcela C. González-Araya (),
Wladimir E. Soto-Silva () and
Luis G. Acosta Espejo ()
Additional contact information
Marcela C. González-Araya: Universidad de Talca
Wladimir E. Soto-Silva: Universidad de Talca
Luis G. Acosta Espejo: Universidad Técnica Federico Santa María
Chapter Chapter 4 in Handbook of Operations Research in Agriculture and the Agri-Food Industry, 2015, pp 79-105 from Springer
Abstract:
Abstract One of the main factors affecting the quality of the apple is the state of maturity at which it is harvested. To help planning agricultural work in apple orchards, this study proposes an optimization model, working through harvest time windows, and that incorporates the fruit ripeness. The model seeks to minimize labor costs, equipment use, and loss of fruit quality, in order to meet the demand of packing plants, considering their processing capacities as well as the production in orchards. This model on three apple orchards in the Maule Region, Chile, led to a 16 % decrease in both labor costs and loss of income for harvesting fruits with poor quality.
Keywords: Mixed integer linear programming; Harvest planning; Perishable goods; Fresh goods; Operational planning; Agricultural planning (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (5)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4939-2483-7_4
Ordering information: This item can be ordered from
http://www.springer.com/9781493924837
DOI: 10.1007/978-1-4939-2483-7_4
Access Statistics for this chapter
More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().