Supply Chain Management and Multiagent Systems: An Overview

Moyaux, Thierry; Chaib-draa, Brahim; D’Amours, Sophie

doi:10.1007/978-3-540-33876-5_1

Cited by 65 publications

(45 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As Moyaux et al [11] argue, "supply chains are made up of heterogeneous production subsystems gathered in vast dynamic and virtual coalitions; intelligent distributed systems, e.g. MAS, enable increased autonomy of each member in the SC".…”

Section: Background Informationmentioning

confidence: 99%

“…MAS, enable increased autonomy of each member in the SC". SC members also have the same characteristics as agents [11]: They are autonomous (i.e. the business operation of a SC member does not involve direct intervention of others, while it has control over its actions and internal state), social (i.e.…”

Section: Background Informationmentioning

confidence: 99%

“…Furthermore, the few simulation tools that tackle the SC coordination problem are not useful in the new era of SC-based competition as they do not adopt a holistic view of SCM, and they fail to explain the business rationale behind simulation results. On the other hand, agent technologies have been successfully applied for improving SCM [11], but limited work has been done on SC coordination. Moreover, despite their success, multiagent systems are not widely adopted in industry.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Towards Improving Supply Chain Coordination through Agent-Based Simulation

Manataki

Chen-Burger

Rovatsos

2010

Advances in Intelligent and Soft Computing

View full text Add to dashboard Cite

One of the most significant paradigm shifts of modern business management is that individual businesses no longer compete as autonomous entities but rather as supply chains. However, the majority of companies, especially small and medium enterprises, fail to design and manage their supply chains in a profitable way, as it is difficult to understand the complex dynamics of Supply Chain Management (SCM). In this paper we argue that agent technologies can provide an intelligent solution to the improvement of SCM. We present a multiagent-based framework for simulating supply chain (SC) operation and re-configuration, with the vision of helping to improve overall SC performance and coordination. The suggested key innovation lies in the better explanation of simulation results and its attractiveness to SCM practitioners. Its theoretical conceptualisation, a logic-based formalisation and the system's architecture that combines agent technologies with business rules and business process modelling are presented.

show abstract

Section: Background Informationmentioning

confidence: 99%

Section: Background Informationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Towards Improving Supply Chain Coordination through Agent-Based Simulation

Manataki

Chen-Burger

Rovatsos

2010

Advances in Intelligent and Soft Computing

View full text Add to dashboard Cite

show abstract

“…De lo anterior, la planificación completa de transformación de la madera bajo este indicador, incrementa naturalmente la complejidad y solución del problema (Moyaux et al 2006).…”

Section: Introductionunclassified

Modelo de un sistema multi-agente para la optimización de la cadena de suministros en la industria de la madera de coníferas

Ramos¹,

Maness

Salinas³

2015

Maderas, Cienc. tecnol.

View full text Add to dashboard Cite

El sector industrial maderero forma una cadena productiva, resumida en tres procesos: Aserrío, Secado y Remanufactura. Satisfacer el volumen demandado y cumplir con las fechas de entrega de los pedidos es importante tanto, para la cadena de producción, como para el cliente. La no integración de estos procesos, genera problemas de coherencia en los planes de producción, por lo que un modelo integrado del sector forestal, utilizando las ventajas de funcionamiento de los sistemas multi-agentes, serviría para mejorar la coherencia y el rendimiento global del sistema. El modelo de integración presentado en este trabajo, minimiza la tardanza global del sector industrial maderero y la comunicación entre los agentes, se realiza mediante la utilización de Contract Net Protocol. Los resultados muestran que en el aserradero se genera un mayor atraso para el sistema y es el cuello de botella en el cumplimiento de las órdenes de producción. Los resultados indicaron que se produce un atraso de entre 2 a 4 días en el cumplimiento de las órdenes de producción en la cadena, con un máximo de 20 días.Palabras Clave: Industria de la madera, metaheurística, negociación, Pinus radiata, tardanza. ABSTRACTThe lumber industry sector forms a productive chain that be summarized in the three processes: sawing, drying and remanufacturing. Where satisfying the requested volume and meet the planned delivery dates is important to both, the client and each production chain. The non-integration presents coherence issues in the production plans. Hence, an integrated model in lumber sector, that uses the working advantages of multi-agents systems, works to improve coherence and the system's global productivity. The integration model presented in this paper minimizes global tardiness of the lumber transformation chain, at the moment of delivering production orders. Within the system, the communication between agents is done by using the Contract Net Protocol. The results show the sawmill, as a first step in the system, is where the biggest tardiness and bottle neck in the fulfilling of the production orders is produced. In average, the results showed a tardiness between 2 to 4 days in the compliance of chain production orders. The maximum delay is of 20 days.

show abstract

“…The bargaining game studied in this article could be also used in multiagent applications that require automated formation of supply chains [30,17]. In this business setting, externalities play a significant role [24].…”

Section: Introductionmentioning

confidence: 99%