Optimizing the collections process in consumer credit
Optimizing the collections process in consumer credit
This paper builds a dynamic programming model to optimize the collections process in consumer credit. It determines which collections actions should be undertaken and how long they should be performed. Theoretical results about the form of the optimal policy under certain conditions are obtained. Finally a case study is described based on data from the collection department of a European bank
collection process, optimization, operations management, dynamic programming, consumer credit
University of Southampton
De Almeida Filho, Adiel T.
7dc4e734-a43e-4579-91cb-d0e030073f44
Mues, Christophe
07438e46-bad6-48ba-8f56-f945bc2ff934
Thomas, Lyn C.
a3ce3068-328b-4bce-889f-965b0b9d2362
June 2009
De Almeida Filho, Adiel T.
7dc4e734-a43e-4579-91cb-d0e030073f44
Mues, Christophe
07438e46-bad6-48ba-8f56-f945bc2ff934
Thomas, Lyn C.
a3ce3068-328b-4bce-889f-965b0b9d2362
De Almeida Filho, Adiel T., Mues, Christophe and Thomas, Lyn C.
(2009)
Optimizing the collections process in consumer credit
(Discussion Papers in Centre for Operational Research, Management Science and Information Systems, CORMSIS-09-07)
Southampton, UK.
University of Southampton
29pp.
Record type:
Monograph
(Discussion Paper)
Abstract
This paper builds a dynamic programming model to optimize the collections process in consumer credit. It determines which collections actions should be undertaken and how long they should be performed. Theoretical results about the form of the optimal policy under certain conditions are obtained. Finally a case study is described based on data from the collection department of a European bank
Text
CORMSIS-09-07.pdf
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More information
Published date: June 2009
Keywords:
collection process, optimization, operations management, dynamic programming, consumer credit
Identifiers
Local EPrints ID: 71322
URI: http://eprints.soton.ac.uk/id/eprint/71322
PURE UUID: d7509813-1147-47ab-9051-1aa2fcbc8f6c
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Date deposited: 03 Feb 2010
Last modified: 14 Mar 2024 02:49
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Contributors
Author:
Adiel T. De Almeida Filho
Author:
Lyn C. Thomas
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