JOURNAL of the JAPANESE SOCIETY of AGRICULTURAL MACHINERY
Online ISSN : 1884-6025
Print ISSN : 0285-2543
ISSN-L : 0285-2543
Stochastic Farm Work Scheduling Algorithms Based on Short Range Weather Variation (Part 3)
Improvement of SFSW with Consideration of Daily Rainfall Amount
I WAYAN ASTIKAAkira SASAOSakae SHIBUSAWAKenshi SAKAI
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JOURNAL FREE ACCESS

1999 Volume 61 Issue 4 Pages 141-150

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Abstract

The SFSW developed in the previous paper was improved by incorporating the possibility of working on rainy days and the days after rainy days. Five levels of daily rainfall characterizing the possibility of working were introduced, replacing the original two levels of weather condition: rain and bright.
A new algorithm, named New SFSW (NSFSW), was applied to sugarcane harvesting scheduling problems, which were also solved with SFSW as reported in the previous paper. The optimization method was modified to reduce the time required for optimization. With the consideration of daily rainfall amount determining the possibility of working on rainy days and the following days, the calculated costs and optimum schedules decided by NSFSW were considerably different from those decided by SFSW.

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© The Japanese Society of Agricultural Machinery
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