A mathematical model for personnel task assignment problem and an application for banking sector

Efficient planning and management of the workforce resources is one of the most essential requirements for the companies operating in the service sector. For banks, a large number of transactions coming to Central Operations Department from the branches or directly from the customers and their aim i...

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Main Authors: Kenan Çetin, Gülfem Tuzkaya, Ozalp Vayvay
Format: Article
Language:English
Published: Balikesir University 2020-04-01
Series:An International Journal of Optimization and Control: Theories & Applications
Subjects:
Online Access:http://www.ijocta.org/index.php/files/article/view/825
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author Kenan Çetin
Gülfem Tuzkaya
Ozalp Vayvay
author_facet Kenan Çetin
Gülfem Tuzkaya
Ozalp Vayvay
author_sort Kenan Çetin
collection DOAJ
description Efficient planning and management of the workforce resources is one of the most essential requirements for the companies operating in the service sector. For banks, a large number of transactions coming to Central Operations Department from the branches or directly from the customers and their aim is to provide the best operational service with the highest efficiency with the limited workforce resources in the departments. In this study, a real assignment problem was discussed and the problem was considered as Generalized Assignment Problem. For the solution of the problem, related algorithms were listed and examined in the literature survey section. Then, a two-step method is proposed. First step prioritizes the task coming to the system by considering the customer types, service level agreement (SLA) times, cut-off times, task type.  In the second step, a multi-objective mathematical model was developed to assign task to employee groups. A preference based optimization method called Linear Physical Programming (LPP) is used to solve the model. Afterward, proposed model was tested on real banking data. For all the tests, GAMS was used as a solver. Results show that proposed model gave better results compared with current situation. With the proposed solution method, the workloads of the profile groups working above their capacity were transferred to other profile groups with idle capacity. Thus, the capacity utilization rates of the profile groups were more balanced and the minimum capacity utilization rate was calculated as 41%.
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spelling doaj.art-4f5c509077444881acf60dc495b7533e2023-02-15T16:16:03ZengBalikesir UniversityAn International Journal of Optimization and Control: Theories & Applications2146-09572146-57032020-04-0110210.11121/ijocta.01.2020.00825A mathematical model for personnel task assignment problem and an application for banking sectorKenan Çetin0Gülfem Tuzkaya1Ozalp Vayvay2R&D Center, Vakıfbank; Marmara UniversityMarmara UniversityMarmara UniversityEfficient planning and management of the workforce resources is one of the most essential requirements for the companies operating in the service sector. For banks, a large number of transactions coming to Central Operations Department from the branches or directly from the customers and their aim is to provide the best operational service with the highest efficiency with the limited workforce resources in the departments. In this study, a real assignment problem was discussed and the problem was considered as Generalized Assignment Problem. For the solution of the problem, related algorithms were listed and examined in the literature survey section. Then, a two-step method is proposed. First step prioritizes the task coming to the system by considering the customer types, service level agreement (SLA) times, cut-off times, task type.  In the second step, a multi-objective mathematical model was developed to assign task to employee groups. A preference based optimization method called Linear Physical Programming (LPP) is used to solve the model. Afterward, proposed model was tested on real banking data. For all the tests, GAMS was used as a solver. Results show that proposed model gave better results compared with current situation. With the proposed solution method, the workloads of the profile groups working above their capacity were transferred to other profile groups with idle capacity. Thus, the capacity utilization rates of the profile groups were more balanced and the minimum capacity utilization rate was calculated as 41%.http://www.ijocta.org/index.php/files/article/view/825Generalized Assignment ProblemTask AssignmentAnalytic Hierarchy ProcessPersonnel Scheduling Banking Sector Linear Physical Programming
spellingShingle Kenan Çetin
Gülfem Tuzkaya
Ozalp Vayvay
A mathematical model for personnel task assignment problem and an application for banking sector
An International Journal of Optimization and Control: Theories & Applications
Generalized Assignment Problem
Task Assignment
Analytic Hierarchy Process
Personnel Scheduling Banking Sector Linear Physical Programming
title A mathematical model for personnel task assignment problem and an application for banking sector
title_full A mathematical model for personnel task assignment problem and an application for banking sector
title_fullStr A mathematical model for personnel task assignment problem and an application for banking sector
title_full_unstemmed A mathematical model for personnel task assignment problem and an application for banking sector
title_short A mathematical model for personnel task assignment problem and an application for banking sector
title_sort mathematical model for personnel task assignment problem and an application for banking sector
topic Generalized Assignment Problem
Task Assignment
Analytic Hierarchy Process
Personnel Scheduling Banking Sector Linear Physical Programming
url http://www.ijocta.org/index.php/files/article/view/825
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