When do I want to know and why? Different demands on sugarcane yield predictions. (May 2015)

• Record Type: Journal Article
• Authors: Bocca, Felipe Ferreira; Rodrigues, Luiz Henrique Antunes; Arraes, Nilson Antonio Modesto
• Is Part Of: Agricultural systems. Volume 135(2015)
• Page Start: 48
• Page End: 56
• Publication Date: 2015-05
• Subjects: Sugar value chain -- Sugarcane -- Decision-making -- Crop forecasting -- Advanced Planning Systems; Agricultural systems -- Periodicals; Agriculture -- Environmental aspects -- Periodicals; 338.16
• DOI: 10.1016/j.agsy.2014.11.008
• Languages: English
• ISSNs: 0308-521X

Abstract

Highlights: We present how yield and planning models can be used in different contexts. Errors are not the only aspect of forecasting models that should be evaluated. Planning models fail to use yield models for better data in surgarcane production. Integrated planning for sucargane production and the APS concept are discussed. There is still a gap between planning needs and available models. Abstract: The production planning processes of sugarcane mills require quantitative information to support decisions on sugarcane yield and the effects of decisions made during planning. An exploratory study was conducted at a sugarcane mill with the goals of identifying the main decisions influenced by the prospects of future yield and of evaluating the manner in which those forecasts affect planning. Key decisions and their characteristics were identified based on a series of interviews and activity monitoring. These decisions are presented and discussed in relation to various solutions proposed by the scientific community for planning, as well as within the concept of Advanced Planning Systems. The yield forecasts used to inform budgeting and harvesting plans are of critical importance because actions taken based on those forecasts affect the entire value chain, highlighting the need for a decision-making framework that assess the effects of decisions on subsequent processes. Advanced Planning Systems design to the sugar value chain should incorporate the use of yield forecasts for production and must address the uncertainties throughout the entire system. These improvements can enhance the performances of Advanced Planning Systems by producing an integrated planning approach that is based on a comprehensive assessment of the sugar value chain.