Evaluation of Communication in Multiagent Systems for Supply Chain Planning and Control

Hmida, Faten Ben; Chaari, Wided Lejouad; Dupas, Rémy; Seguy, Anne

doi:10.1109/ictai.2014.68

Cited by 2 publications

(2 citation statements)

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“…For this reason, they are especially useful for evaluating different flow architectures of these production and distribution systems. Hmida et al [25] presented a MAS evaluation method highlighting the communication and transfer of information between links of a SC modeled by agents, as this is one of the most important functional features of distributed systems in general and MAS in particular. Shoham [26], established Agent-Oriented Programming (AOP) approach, where by multi-agent systems become a specialization of distributed Object-Oriented systems.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This has allowed the incorporation of intelligent decision-making by service-oriented nodes, in an integration environment, and with a focus on creating value for customers. Some authors recommend studying architectures such as: architecture based on artificial intelligence [3], control architectures (distributed, centralized and mixed) [4], architecture with a holonic approach [5], business architecture [6] and industry 4.0 structure [7], [8].…”

Section: Introductionmentioning

confidence: 99%

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Distributed architecture for a supply chain by integrating a multi- agent approach using simulation

Ovalle

García-Melo

2021

Jou.Cie.Ing.

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This study proposes an architecture based on multiple agents through a Colored Petri Net model (CPN), which enables the integration of supply chain links and information technology to speed up the production process and services. The methodology was developed based on three fundamental concepts: CPN as design tool, Supply Chain (SC) Architecture and Multi-Agent Systems (MAS). As a case study, a typical supply chain in the Colombian production system was considered. As a case study, a typical supply chain in the Colombian production system was considered. For this, the study developed a modeling procedure to transform its supply chain architecture from a typical structure to a multi-agent structure. This procedure consists of seven phases. Initially, the case study is characterized as a supply chain, then the information is collected, next the limitations of the supply chain are identified, then the variables and their interactions are defined. In the following two phases, three models are developed: the structural model, representing the physical distribution of the plant; the conceptual model, that relates the system components and their interactions; and the functional model, which integrates the previous models and associates them with the behavior of the variables during the process ow. Finally, a qualitative and quantitative validation of the models are performed, simulating different scenarios. The results show that a distributed supply chain structure, using multi-agent architecture, first, offers robust information and physical flows, and secondly, contributes to supply time reduction, communication quickness, efficiency and quality of information for operational decision making. The results could also motivate organizations to integrate the supply chains considering MASs in resource management.

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Section: Literature Reviewmentioning

confidence: 99%