Production planning with uncertainty in the quality of raw materials / Kazemi Zanjani, M. in Journal of the operational research society (JORS), Vol. 62 N° 7 (Juillet 2011)  

Public ISBD [article]  inJournal of the operational research society (JORS) > Vol. 62 N° 7 (Juillet 2011) . - pp. 1334–1343 Titre : Production planning with uncertainty in the quality of raw materials : a case in sawmills Type de document : texte imprimé Auteurs : Kazemi Zanjani, M., Auteur ; Nourelfath, M., Auteur ; Ait-Kadi, D., Auteur Année de publication : 2011 Article en page(s) : pp. 1334–1343 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : Planning Production Stochastic programming Monte Carlo simulation Sawmill Index. décimale : 001.424 Résumé : Motivated by sawmill production planning, this paper investigates multi-period, multi-product (MPMP) production planning in a manufacturing environment with non-homogeneous raw materials, and consequently random process yields. A two-stage stochastic program with recourse is proposed to address the problem. The random yields are modelled as scenarios with stationary probability distributions during the planning horizon. The solution methodology is based on the sample average approximation (SAA) scheme. The stochastic sawmill production planning model is validated through the Monte Carlo simulation. The computational results for a real medium capacity sawmill highlight the significance of using the stochastic model as a viable tool for production planning instead of the mean-value deterministic model, which is a traditional production planning tool in many sawmills. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v62/n7/abs/jors201030a.html [article] Production planning with uncertainty in the quality of raw materials : a case in sawmills [texte imprimé] / Kazemi Zanjani, M., Auteur ; Nourelfath, M., Auteur ; Ait-Kadi, D., Auteur . - 2011 . - pp. 1334–1343. Recherche opérationnelle Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 62 N° 7 (Juillet 2011) . - pp. 1334–1343 Mots-clés : Planning Production Stochastic programming Monte Carlo simulation Sawmill Index. décimale : 001.424 Résumé : Motivated by sawmill production planning, this paper investigates multi-period, multi-product (MPMP) production planning in a manufacturing environment with non-homogeneous raw materials, and consequently random process yields. A two-stage stochastic program with recourse is proposed to address the problem. The random yields are modelled as scenarios with stationary probability distributions during the planning horizon. The solution methodology is based on the sample average approximation (SAA) scheme. The stochastic sawmill production planning model is validated through the Monte Carlo simulation. The computational results for a real medium capacity sawmill highlight the significance of using the stochastic model as a viable tool for production planning instead of the mean-value deterministic model, which is a traditional production planning tool in many sawmills. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v62/n7/abs/jors201030a.html

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