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An Optimizing Approach for Multi Constraints Reassignment Problem of Human Resources

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 6 No. 4 (2016)

DOI
10.11591/ijece.v6i4.9438
ISSN
2088-8708, 2088-8708
Published
2016-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc-nd/4.0

Abstract

This paper presents an effective approach to optimize the reassignment of Human Resources in the enterprise that is formed by several units of productions to take into consideration the human characteristics. This approach consists of two steps; the first step is to formalize the studied problem that is practically take the form of the generalized assignment problem (GAP) known as NP-hard problem. Additionally, the variables in the formulation of our problem are interlinked by certain constraints. These two proprieties can to justify the important complexity of this problem. The second step is focused to solve this complex problem by using the genetic algorithm. We present the experimentally result for justifying the validity of the proposed approach. So, the solution obtained allowed us to get an optimal assignment of personnel that can lead to improve the average productivity or ratability or at least ensure its equilibration within sites of enterprise.

Collaboration network of the authors

18 authors · 33 co-authorship links · 6 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Université Ibn-Tofail
  • Abdelmalek Essaâdi University
  • Cadi Ayyad University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
El Khatir HaimoudiAbdelmalek Essaâdi University3
Lahcen IdouglidUniversité Ibn-Tofail2
Chaymae TaibAbdelmalek Essaâdi University2
Hala KhankhourUniversité Ibn-Tofail2
Idriss MoumenUniversité Ibn-Tofail2
Samar AmassmirUniversité Ibn-Tofail2
Amine BelmzoukiaUniversité Ibn-Tofail2
Sara BelattarAbdelmalek Essaâdi University1
Fatima Zohra LhafraAbdelmalek Essaâdi University1
Khalid ElfayqAffiliation unknown1
Azidine GuezzazCadi Ayyad University1
Hamza EttakifiUniversité Ibn-Tofail1
Khalid El FayqUniversité Ibn-Tofail1
Adnan El AhmadiAbdelmalek Essaâdi University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>An Optimizing Approach for Multi Constraints Reassignment Problem of Human Resources</dc:title><dc:creator>Said, Tkatek</dc:creator><dc:creator>Otman, Abdoun</dc:creator><dc:creator>Jaafar, Abouchabaka</dc:creator><dc:creator>Najat, Rafalia</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span lang="EN-US"&amp;gt;This paper presents an effective approach to optimize the reassignment of Human Resources in the enterprise that is formed by several units of productions to take into consideration the human characteristics. This approach consists of two steps; the first step is to formalize the studied problem that is practically take the form of the generalized assignment problem (GAP) known as NP-hard problem. Additionally, the variables in the formulation of our problem are interlinked by certain constraints. These two proprieties can to justify the important complexity of this problem. The second step is focused to solve this complex problem by using the genetic algorithm. We present the experimentally result for justifying the validity of the proposed approach. So, the solution obtained allowed us to get an optimal assignment of personnel that can lead to improve the average productivity or ratability or at least ensure its equilibration within sites of enterprise.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2016-08-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v6i4.9438</dc:identifier><dc:identifier>10.11591/ijece.v6i4.9438</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 6 No 4 (2016); 1907</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://www.iaescore.com/journals/index.php/IJECE/article/viewFile/761/518</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0</dc:rights></oai_dc:dc>