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Integrated Project Scheduling and Staff Assignment with Controllable Processing Times

This paper addresses a decision problem related to simultaneously scheduling the tasks in a project and assigning the staff to these tasks, taking into account that a task can be performed only by employees with certain skills, and that the length of each task depends on the number of employees assi...

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Detalles Bibliográficos
Autores principales: Fernandez-Viagas, Victor, Framinan, Jose M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032662/
https://www.ncbi.nlm.nih.gov/pubmed/24895672
http://dx.doi.org/10.1155/2014/924120
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author Fernandez-Viagas, Victor
Framinan, Jose M.
author_facet Fernandez-Viagas, Victor
Framinan, Jose M.
author_sort Fernandez-Viagas, Victor
collection PubMed
description This paper addresses a decision problem related to simultaneously scheduling the tasks in a project and assigning the staff to these tasks, taking into account that a task can be performed only by employees with certain skills, and that the length of each task depends on the number of employees assigned. This type of problems usually appears in service companies, where both tasks scheduling and staff assignment are closely related. An integer programming model for the problem is proposed, together with some extensions to cope with different situations. Additionally, the advantages of the controllable processing times approach are compared with the fixed processing times. Due to the complexity of the integrated model, a simple GRASP algorithm is implemented in order to obtain good, approximate solutions in short computation times.
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spelling pubmed-40326622014-06-03 Integrated Project Scheduling and Staff Assignment with Controllable Processing Times Fernandez-Viagas, Victor Framinan, Jose M. ScientificWorldJournal Research Article This paper addresses a decision problem related to simultaneously scheduling the tasks in a project and assigning the staff to these tasks, taking into account that a task can be performed only by employees with certain skills, and that the length of each task depends on the number of employees assigned. This type of problems usually appears in service companies, where both tasks scheduling and staff assignment are closely related. An integer programming model for the problem is proposed, together with some extensions to cope with different situations. Additionally, the advantages of the controllable processing times approach are compared with the fixed processing times. Due to the complexity of the integrated model, a simple GRASP algorithm is implemented in order to obtain good, approximate solutions in short computation times. Hindawi Publishing Corporation 2014 2014-04-24 /pmc/articles/PMC4032662/ /pubmed/24895672 http://dx.doi.org/10.1155/2014/924120 Text en Copyright © 2014 V. Fernandez-Viagas and J. M. Framinan. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Fernandez-Viagas, Victor
Framinan, Jose M.
Integrated Project Scheduling and Staff Assignment with Controllable Processing Times
title Integrated Project Scheduling and Staff Assignment with Controllable Processing Times
title_full Integrated Project Scheduling and Staff Assignment with Controllable Processing Times
title_fullStr Integrated Project Scheduling and Staff Assignment with Controllable Processing Times
title_full_unstemmed Integrated Project Scheduling and Staff Assignment with Controllable Processing Times
title_short Integrated Project Scheduling and Staff Assignment with Controllable Processing Times
title_sort integrated project scheduling and staff assignment with controllable processing times
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032662/
https://www.ncbi.nlm.nih.gov/pubmed/24895672
http://dx.doi.org/10.1155/2014/924120
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