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Dynamic simulation and decision support for multisite specialty chemicals supply chain / Arief Adhitya in Industrial & engineering chemistry research, Vol. 49 N° 20 (Octobre 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 20 (Octobre 2010) . - pp. 9917-9931 Titre : Dynamic simulation and decision support for multisite specialty chemicals supply chain Type de document : texte imprimé Auteurs : Arief Adhitya, Auteur ; Rajagopalan Srinivasan, Auteur Année de publication : 2011 Article en page(s) : pp. 9917-9931 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Modeling  Dynamic  model Résumé : Companies are increasingly shifting from single-site manufacturing to multisite operations to tap into the vast business opportunities offered by globalization. The supply chain of such a multisite enterprise is complex, involving numerous interacting entities with various roles and constraints, resulting in complex dynamics and complexities in decision making. This complexity motivates the development of simulation models of the supply chain that can capture the behavior of the entities, their interactions, the resulting dynamics, and the various uncertainties. In this article, we present a dynamic model of a multisitc specialty chemicals supply chain that can serve as a quantitative simulation and decision support tool. The model explicitly considers the different supply chain entities and their interactions across various activities such as order acceptance and assignment, job scheduling, raw material procurement, storage, and production. It has been implemented as a dynamic simulator in Matlab/Simulink, called the integrated lube additive supply chain simulator (ILAS). Different policies, configurations, and uncertainties can be simulated in ILAS, and their impacts on the overall performance of the supply chain, such as customer satisfaction and profit, can be analyzed. The capabilities of ILAS for decision support are illustrated using several case studies. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=23325814 [article] Dynamic simulation and decision support for multisite specialty chemicals supply chain [texte imprimé] / Arief Adhitya, Auteur ; Rajagopalan Srinivasan, Auteur . - 2011 . - pp. 9917-9931. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 20 (Octobre 2010) . - pp. 9917-9931 Mots-clés : Modeling  Dynamic  model Résumé : Companies are increasingly shifting from single-site manufacturing to multisite operations to tap into the vast business opportunities offered by globalization. The supply chain of such a multisite enterprise is complex, involving numerous interacting entities with various roles and constraints, resulting in complex dynamics and complexities in decision making. This complexity motivates the development of simulation models of the supply chain that can capture the behavior of the entities, their interactions, the resulting dynamics, and the various uncertainties. In this article, we present a dynamic model of a multisitc specialty chemicals supply chain that can serve as a quantitative simulation and decision support tool. The model explicitly considers the different supply chain entities and their interactions across various activities such as order acceptance and assignment, job scheduling, raw material procurement, storage, and production. It has been implemented as a dynamic simulator in Matlab/Simulink, called the integrated lube additive supply chain simulator (ILAS). Different policies, configurations, and uncertainties can be simulated in ILAS, and their impacts on the overall performance of the supply chain, such as customer satisfaction and profit, can be analyzed. The capabilities of ILAS for decision support are illustrated using several case studies. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=23325814

Negotiation-based approach for order acceptance in a multiplant specialty chemical manufacturing enterprise / Behzad Behdani in Industrial & engineering chemistry research, Vol. 50 N° 9 (Mai 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 9 (Mai 2011) . - pp. 5086-5098 Titre : Negotiation-based approach for order acceptance in a multiplant specialty chemical manufacturing enterprise Type de document : texte imprimé Auteurs : Behzad Behdani, Auteur ; Arief Adhitya, Auteur ; Zofia Lukszo, Auteur Année de publication : 2011 Article en page(s) : pp. 5086-5098 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Manufacturing Résumé : Order acceptance under uncertainty is a challenging problem in supply chain management, especially in make-to-order plants, such as in a specialty chemical manufacturing enterprise. In this work, we consider the effect of rush orders and design a negotiation-based policy for order acceptance. Rush orders pose a complex challenge primarily because the different actors involved (customer and enterprise) have different interests and asymmetric information. In addition, the interaction involves uncertainties both in the short- and long-term. To capture the rich complexity of the problem and provide a conceptual basis for developing agent-based models for such negotiation situation, this paper presents a general framework for negotiation and illustrates it using the customer-enterprise rush order due date negotiation case. On the basis of this framework, an agent-based model is developed. Various experiments are conducted to evaluate the effect of due date negotiation on profit and long-term customer behivior. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24128635 [article] Negotiation-based approach for order acceptance in a multiplant specialty chemical manufacturing enterprise [texte imprimé] / Behzad Behdani, Auteur ; Arief Adhitya, Auteur ; Zofia Lukszo, Auteur . - 2011 . - pp. 5086-5098. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 9 (Mai 2011) . - pp. 5086-5098 Mots-clés : Manufacturing Résumé : Order acceptance under uncertainty is a challenging problem in supply chain management, especially in make-to-order plants, such as in a specialty chemical manufacturing enterprise. In this work, we consider the effect of rush orders and design a negotiation-based policy for order acceptance. Rush orders pose a complex challenge primarily because the different actors involved (customer and enterprise) have different interests and asymmetric information. In addition, the interaction involves uncertainties both in the short- and long-term. To capture the rich complexity of the problem and provide a conceptual basis for developing agent-based models for such negotiation situation, this paper presents a general framework for negotiation and illustrates it using the customer-enterprise rush order due date negotiation case. On the basis of this framework, an agent-based model is developed. Various experiments are conducted to evaluate the effect of due date negotiation on profit and long-term customer behivior. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24128635