Toward a methodological framework for agent-based modelling and simulation of supply chains in a mass customization context

Labarthe, Olivier; Espinasse, Bernard; Ferrarini, Alain; Montreuil, Benoît

doi:10.1016/j.simpat.2006.09.014

Cited by 116 publications

(67 citation statements)

References 27 publications

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“…Beamon (Beamon, 1998) and Labarthe et al (Labarthe et al, 2007) distinguish three main types of approach for supply chain modeling: organizational, analytical and simulation.…”

Section: Literature Review Supply Chain Modeling Approachmentioning

confidence: 99%

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A multi-agent knowledge model for SMEs mechatronic supply chains

et al. 2011

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Abstract:The main concern of this research work is to analyse and model supply chains (SCs) in the particular context of small and medium enterprises (SMEs) in the field of mechatronic. The study is based on the analysis of the organisational features, the actors' behaviour, and performance considerations. The development of the model relies on an iterative framework that progressively integrates different aspects into the model. This framework is the ArchMDE process, which is based on MDE (Model Driven Engineering). A major feature of this work lies in its contribution to two different areas of research. The first contribution of the work is to propose a generic metamodel for SCs. Based on a literature review, an incremental framework is proposed for the modelling of SCs in terms of concepts, structure and relationships. The application of the framework to the studied context is described and its result is a domain-metamodel for SCs. The second contribution of this work lies in the formalisation of the dynamic behaviour of the concepts in the metamodel. This formalisation is based on the multi-agent approach. An agentification of the metamodel is thus drawn, thanks to the natural links between multiagent theory and SC reality.This step leads to an agentified-domain-metamodel which also includes the monitoring of the SC and synchronisation protocols. By adding relationships and dynamic behavior aspects, we obtain a 2 metamodel of the domain that can be implemented, with its static and dynamic aspects. To validate this model, an industrial case study is detailed and has been instantiated and encoded in JAVA.

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“…Beamon (Beamon, 1998) and Labarthe et al (Labarthe et al, 2007) distinguish three main types of approach for supply chain modeling: organizational, analytical and simulation.…”

Section: Literature Review Supply Chain Modeling Approachmentioning

confidence: 99%

“…The M&S approach was adopted in several works in order to reduce the complexity of the supply chain and evaluate its performance (Bagchi et al, 1998;Labarthe et al, 2007). M&S translates the supply chain conceptual model and recreates the complexity and highly stochastic environment of a supply chain.…”

Section: Literature Review Supply Chain Modeling Approachmentioning

confidence: 99%

A multi-agent knowledge model for SMEs mechatronic supply chains

et al. 2011

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“…The academic literature has witnessed the proposition of multiple approaches for operational, tactical and strategic analyses of SN, including optimization (mathematical and/or heuristic), system dynamics, simulation and multi-agent modeling (e.g., [7,8,9,10]). Among those different modeling approaches, the multiagent paradigm serves to model actors (agents) in the supply network as independent entities with a defined perception of their local environments, as well as to handle the impact of interconnectivity at a global level [3].…”

Section: Introductionmentioning

confidence: 99%

Conceptual Framework for Agent-Based Modeling of Customer-Oriented Supply Networks

Solano-Vanegas

Carrillo-Ramos

Montoya‐Torres

2015

Risks and Resilience of Collaborative Networks

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“…Therefore, intelligent multi-agent modeling is particularly suitable for the research of such complex systems as innovation networks. In addition, innovation networks and multi-agent systems share many similar essential features [9]. Long, Qingqi and Li, Shuliang (2014).…”

Section: Introductionmentioning

confidence: 99%