A New Model for Reassignment of Tasks to Available Employees in Iraq’s Firms
Generalized assignment problem (GAP) is a well-known problem in the combinatorial optimization. This problem is a specific form of assignment problem (AP) when the employees can carry out more than one task simultaneously or each work can be assigned to more than one employee. In this paper, a new m...
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Format: | Article |
Language: | English |
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Wiley
2020-01-01
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Series: | International Journal of Mathematics and Mathematical Sciences |
Online Access: | http://dx.doi.org/10.1155/2020/2673793 |
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author | Dhurgam Kalel Ibrahim Alsaad Reza Ghanbari Ali Akbar Sohrabi Khatere Ghorbani Moghadam |
author_facet | Dhurgam Kalel Ibrahim Alsaad Reza Ghanbari Ali Akbar Sohrabi Khatere Ghorbani Moghadam |
author_sort | Dhurgam Kalel Ibrahim Alsaad |
collection | DOAJ |
description | Generalized assignment problem (GAP) is a well-known problem in the combinatorial optimization. This problem is a specific form of assignment problem (AP) when the employees can carry out more than one task simultaneously or each work can be assigned to more than one employee. In this paper, a new model is proposed for reassigning tasks on the available employees of Iraq companies when at least one of the jobholders is absent. Likewise, the returning workers from long holidays assumption are incorporated. Finally, a heuristic algorithm for solving reassignment tasks on laborers is introduced. |
format | Article |
id | doaj-art-835a1995ddb248898343c81aa1439efc |
institution | Kabale University |
issn | 0161-1712 1687-0425 |
language | English |
publishDate | 2020-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Mathematics and Mathematical Sciences |
spelling | doaj-art-835a1995ddb248898343c81aa1439efc2025-02-03T05:52:43ZengWileyInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04252020-01-01202010.1155/2020/26737932673793A New Model for Reassignment of Tasks to Available Employees in Iraq’s FirmsDhurgam Kalel Ibrahim Alsaad0Reza Ghanbari1Ali Akbar Sohrabi2Khatere Ghorbani Moghadam3Faculty of Mathematical Sciences, Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, IranFaculty of Mathematical Sciences, Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, IranFaculty of Mathematical Sciences, Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, IranMember of Optimization Laboratory in Faculty of Mathematical Sciences, Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, IranGeneralized assignment problem (GAP) is a well-known problem in the combinatorial optimization. This problem is a specific form of assignment problem (AP) when the employees can carry out more than one task simultaneously or each work can be assigned to more than one employee. In this paper, a new model is proposed for reassigning tasks on the available employees of Iraq companies when at least one of the jobholders is absent. Likewise, the returning workers from long holidays assumption are incorporated. Finally, a heuristic algorithm for solving reassignment tasks on laborers is introduced.http://dx.doi.org/10.1155/2020/2673793 |
spellingShingle | Dhurgam Kalel Ibrahim Alsaad Reza Ghanbari Ali Akbar Sohrabi Khatere Ghorbani Moghadam A New Model for Reassignment of Tasks to Available Employees in Iraq’s Firms International Journal of Mathematics and Mathematical Sciences |
title | A New Model for Reassignment of Tasks to Available Employees in Iraq’s Firms |
title_full | A New Model for Reassignment of Tasks to Available Employees in Iraq’s Firms |
title_fullStr | A New Model for Reassignment of Tasks to Available Employees in Iraq’s Firms |
title_full_unstemmed | A New Model for Reassignment of Tasks to Available Employees in Iraq’s Firms |
title_short | A New Model for Reassignment of Tasks to Available Employees in Iraq’s Firms |
title_sort | new model for reassignment of tasks to available employees in iraq s firms |
url | http://dx.doi.org/10.1155/2020/2673793 |
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