• Apr 24, 2017 News! Vol.6, No.4 has been indexed by EI (Inspec).   [Click]
  • Apr 24, 2017 News! Vol.6, No.3 has been indexed by EI (Inspec).   [Click]
  • May 24, 2017 News!Vol 7, No 2 has been published with online version 11 original aritcles from 6 countries are published in this issue   [Click]
General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2015 Vol.5(2): 155-160 ISSN: 2010-3697
DOI: 10.7763/IJMO.2015.V5.453

The Human Resources Assignment with Multiple Sites Problem

Mohamed Afilal, Hicham Chehade, and Farouk Yalaoui
Abstract—Human resources assignment is the process of creating an employee’s assignment in order to meet the demand of a set of tasks over time horizon. Many research works have been developed for similar problems in many field areas like health-caring, manufacturing, transportation… However in our study, we approach a general case where tasks do not have a specific daily or weekly pattern. Employees can be assigned to more than one task per day and taking in consideration multiple sites. The objective of our study is to find a feasible solution that respect different constraints relative to labor regulations and a constraint relative to multiple sites, balance the workload over employees and minimize overload hours. We propose a mixed integer programming model and a key performance indicator based heuristic to solve this problem. The results of the heuristic are very promising.

Index Terms—Human resources assignment, workload balancing, overload minimization, MIP model, heuristic.

Mohamed Afilal, Hicham Chehade, Farouk Yalaoui are with the Institut Charles Delaunay, LOSI, Université de Technologie de Troyes UMR 6281, CNRS, Troyes, France (e-mail: {mohamed.afilal, hicham.chehade, farouk.yalaoui}@utt.fr, {afilal, chehade}@opta-lp.com).
Mohamed Afilal and Hicham Chehade are with Opta-Lp, 2 rue Gustave Eiffel, 10430 Rosières-Près-Troyes, France.

[PDF]

Cite: Mohamed Afilal, Hicham Chehade, and Farouk Yalaoui, "The Human Resources Assignment with Multiple Sites Problem," International Journal of Modeling and Optimization vol. 5, no. 2, pp. 155-160, 2015.

Copyright © 2008-2015.International Journal of Modeling and Optimization. All rights reserved.
E-mail: ijmo@iacsitp.com