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Normative agent-based simulation for supply chain planning / Ferreira, L. in Journal of the operational research society (JORS), Vol. 62 N° 3 Special issue (Mars 2011) 

Public ISBD [article]  in Journal of the operational research society (JORS) > Vol. 62 N° 3 Special issue (Mars 2011) . - pp. 501–514 Titre : Normative agent-based simulation for supply chain planning Type de document : texte imprimé Auteurs : Ferreira, L., Auteur ; Borenstein, D., Auteur Année de publication : 2011 Article en page(s) : pp. 501–514 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : Simulation  Artificial  intelligence  Planning  Supply  chain  Agent-based  modelling Index. décimale : 001.424 Résumé : This paper presents an agent-based simulation framework for supply chain (SC) planning, introducing the notion of normative agent. The analysis of the relevant literature shows that most research works carried out in this area aim to handle specific problems and contexts. Although some methodologies and more generic solutions have been proposed, they are not able to cope with SCs in which regulation plays an important role, whether issued by a government agent or by an international institution. Several SCs, such as in the energy, food, chemical, and forestry areas, are highly regulated. Explicitly modelling the actors involved in the regulation of SCs using normative agents allowed us to evaluate the potential benefits of alternative strategies for planning of regulated SCs. The modelling of a biodiesel SC is presented as a case study. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v62/n3/abs/jors2010144a.html [article] Normative agent-based simulation for supply chain planning [texte imprimé] / Ferreira, L., Auteur ; Borenstein, D., Auteur . - 2011 . - pp. 501–514. Recherche opérationnelle Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 62 N° 3 Special issue (Mars 2011) . - pp. 501–514 Mots-clés : Simulation  Artificial  intelligence  Planning  Supply  chain  Agent-based  modelling Index. décimale : 001.424 Résumé : This paper presents an agent-based simulation framework for supply chain (SC) planning, introducing the notion of normative agent. The analysis of the relevant literature shows that most research works carried out in this area aim to handle specific problems and contexts. Although some methodologies and more generic solutions have been proposed, they are not able to cope with SCs in which regulation plays an important role, whether issued by a government agent or by an international institution. Several SCs, such as in the energy, food, chemical, and forestry areas, are highly regulated. Explicitly modelling the actors involved in the regulation of SCs using normative agents allowed us to evaluate the potential benefits of alternative strategies for planning of regulated SCs. The modelling of a biodiesel SC is presented as a case study. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v62/n3/abs/jors2010144a.html