Abstract
ABSTRACT This study was developed to maximize revenue from commercialization of sugar by optimizing the crop harvest within continuous scheduling periods subject to constraints on processing capacity and minimum proportion of farm area to be harvested. Specific constraints were developed to guarantee the continuity of the harvesting calendar per farm. The mathematical model employed is based on a Mixed Integer Linear Programming structure (MILP). Scenario analyses were conducted with the proportion of the farm to be harvested altered. An important finding was that a harvest scheduling pattern emerged as the proportion of the farm’s land to be harvested increased, being this pattern broken when the minimum harvested area increased to 33% of the farm’s cultivable area. Results are also useful for the evaluation of the feasibility of movement of equipment during harvesting operations.
Highlights
The Brazilian economy is strongly based on the primary sector, mainly agricultural and agribusiness activities
The revenue of the commercialization of the sugarcane based on the volume of cane harvested and the level of Sacarosis, for this hypothetical situation, is equal to US$ 2,559,268
The input data considered in the model is based on a representative set of data consisting of sugarcane production volume P R Otc and the sugarcane’s Sacarosis content S AC ARtc arranged in a matrix indexed in two dimensions: i) c: time scheduling for the current month, from 1 to 12; ii) t : harvested farm area, from 1 to 10
Summary
The Brazilian economy is strongly based on the primary sector, mainly agricultural and agribusiness activities These activities are become more technically sophisticated and professionally managed over recent years as a response to a combination of an increasingly competitive economic environment and the dissemination of advanced techniques and technologies. In order to improve revenues in agribusinesses’ sugar chain, Supply Chain Management (SCM) has become increasingly in focus. SCM investigates and measures chain related problems to develop best practices and techniques that merge the numerous players in the chain into a smoothly functioning system by improving operational efficiencies during harvest, industrial processing and transportation from farm to the ultimate consumer. Operational efficiencies begin on the farm; if the productive segment is in disarray, supply chain planning will prove futile. The present study addresses sugarcane harvest strategies to perform the harvesting due to crop maturation patterns
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