Optimization of the Supply Chain Management of Sugarcane in Cuba
Esteban López-Milán () and
Lluis M. Plà-Aragonés ()
Additional contact information
Esteban López-Milán: University of Holguin
Lluis M. Plà-Aragonés: University of Lleida
Chapter Chapter 5 in Handbook of Operations Research in Agriculture and the Agri-Food Industry, 2015, pp 107-127 from Springer
Abstract:
Abstract In this chapter the authors present and discuss the problem of planning sugarcane harvesting–transportation–delivering to the mill for the supply chain management of the sugarcane. Furthermore, an optimization model for practical use is formulated and embedded into a decision support system (DSS) for planning daily operations. The objective function seeks to minimize transportation costs while assuring cane supply to the sugar mill. The model determines the fields to harvest, the cutting–loading–transport means for such operation, and the roster for each employee. Although the model has been developed and tested under Cuban conditions, it can easily be adapted to different situations updating the parameters of the model and the database of the DSS. Main reported savings represent 8 % of the fuel cost, apart from the workload reduction of mill managers in planning tasks.
Keywords: Sugarcane supply chain; MILP; Decision support system; Resource allocation (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
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_5
Ordering information: This item can be ordered from
http://www.springer.com/9781493924837
DOI: 10.1007/978-1-4939-2483-7_5
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 ().