Article ID: | iaor20012813 |
Country: | Netherlands |
Volume: | 35 |
Issue: | 3/4 |
Start Page Number: | 511 |
End Page Number: | 514 |
Publication Date: | Dec 1998 |
Journal: | Computers & Industrial Engineering |
Authors: | Baker J.R., Clayton E.R., Lattimore P.K. |
Keywords: | allocation: resources |
This paper presents a combined statistical model for probationer risk classification and nonlinear multicriteria programming resource allocation model for workload balancing. A statistical model of individual probationer failure was used to classify individuals as high, medium or low risk for probation purposes. The proportion of probationers in each risk category was used as an input into the integer, nonlinear resource allocation model where the decision variables were the number of visits to probationers by type of visit and risk classification.