[article]
Titre : |
A two-stage stochastic program for scheduling and allocating cross-trained workers |
Type de document : |
texte imprimé |
Auteurs : |
Campbell, G. M., Auteur |
Année de publication : |
2011 |
Article en page(s) : |
pp. 1038–1047 |
Note générale : |
Recherche opérationnelle |
Langues : |
Anglais (eng) |
Mots-clés : |
Manpower planning Labour scheduling Stochastic programming Cross-training |
Index. décimale : |
001.424 |
Résumé : |
A two-stage stochastic program is developed for scheduling and allocating cross-trained workers in a multi-department service environment with random demands. The first stage corresponds to scheduling days-off over a time horizon such as a week or month. The second stage is the recourse action that deals with allocating available workers at the beginning of a day to accommodate realized demands. After the general two-stage model is formulated, a special case is introduced for computational testing. The testing helps quantify the value of cross-training as a function of problem characteristics. Results show that cross-training can be more valuable than perfect information, especially when demand uncertainty is high. |
DEWEY : |
001.424 |
ISSN : |
0160-5682 |
En ligne : |
http://www.palgrave-journals.com/jors/journal/v62/n6/abs/jors201016a.html |
in Journal of the operational research society (JORS) > Vol. 62 N° 6 (Juin 2011) . - pp. 1038–1047
[article] A two-stage stochastic program for scheduling and allocating cross-trained workers [texte imprimé] / Campbell, G. M., Auteur . - 2011 . - pp. 1038–1047. Recherche opérationnelle Langues : Anglais ( eng) in Journal of the operational research society (JORS) > Vol. 62 N° 6 (Juin 2011) . - pp. 1038–1047
Mots-clés : |
Manpower planning Labour scheduling Stochastic programming Cross-training |
Index. décimale : |
001.424 |
Résumé : |
A two-stage stochastic program is developed for scheduling and allocating cross-trained workers in a multi-department service environment with random demands. The first stage corresponds to scheduling days-off over a time horizon such as a week or month. The second stage is the recourse action that deals with allocating available workers at the beginning of a day to accommodate realized demands. After the general two-stage model is formulated, a special case is introduced for computational testing. The testing helps quantify the value of cross-training as a function of problem characteristics. Results show that cross-training can be more valuable than perfect information, especially when demand uncertainty is high. |
DEWEY : |
001.424 |
ISSN : |
0160-5682 |
En ligne : |
http://www.palgrave-journals.com/jors/journal/v62/n6/abs/jors201016a.html |
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