Abstract
Nowadays, unpaid invoices are major concerns in many industries or service companies that seriously affect firms’ cash flows, credit ratings, and firms’ image. To overcome the financial problems caused by unpaid debts, managing and controlling these debts is a vital task for companies’ financial survival. Unpaid receivables are collected by the company or debt collection agency as a third party. The debt collection process consists of the collection phase and the legal phase. When the debt collectors are unsuccessful in obtaining the long-term unpaid receivables in the collection phase; the debts will be transferred to the legal debt collection agencies as the legal phase and carried out by experienced lawyers. In order to initiate the legal phase, the unpaid receivables, the so-called cases, are assigned legal collection agencies based on the features of both cases and agencies. In this study, a fair assignment model is built to allocate the customer cases to legal debt collection agencies to prevent company from increasing unpaid debts and manage the legal debt collection process effectively. This model maximizes the advantage of assigning in the same city or region considering the cost, capacity, and equality of each legal debt collection agency in getting the outstanding debts. Budget of the agencies and the number of the cases in the same city are balanced to have a fair assignment. The model is validated by an application in a big service company in Turkey.
Original language | English |
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Title of host publication | International Series in Operations Research and Management Science |
Publisher | Springer |
Pages | 1-29 |
Number of pages | 29 |
DOIs | |
Publication status | Published - 2022 |
Publication series
Name | International Series in Operations Research and Management Science |
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Volume | 326 |
ISSN (Print) | 0884-8289 |
ISSN (Electronic) | 2214-7934 |
Bibliographical note
Publisher Copyright:© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Assignment model
- Debt collection
- Fair assignment model
- Legal debt collection
- Optimization problem