A nonlinear multiple criteria model base for the problem of balancing caseload risk in probation departments

A nonlinear multiple criteria model base for the problem of balancing caseload risk in probation departments

0.00 Avg rating0 Votes
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: , ,
Keywords: allocation: resources
Abstract:

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.

Reviews

Required fields are marked *. Your email address will not be published.