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

Autor:	Edward R. Clayton, Joanna R. Baker, Pamela K. Lattimore
Rok vydání:	1998
Předmět:	Risk category Nonlinear system Decision variables General Computer Science General Engineering Multiple criteria Statistical model Operations management Workload Risk classification Mathematics
Zdroj:	Computers & Industrial Engineering. 35:511-514
ISSN:	0360-8352
DOI:	10.1016/s0360-8352(98)00146-6
Popis:	This paper presents a combined statistical model for probationer risk classification and nonlinear multi-criteria 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9933643a62de1ee4e3758780a79a1af6 https://doi.org/10.1016/s0360-8352(98)00146-6 Zobrazit plný text záznamu Full Text from ScienceDirect