A multiagent supply chain planning and coordination architecture

Fung, Richard Y. K.; Tsiushuang, Chen

doi:10.1007/s00170-003-1900-y

Cited by 49 publications

(14 citation statements)

References 36 publications

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“…Different multi-agent architectures for supply chain integration and management have been presented as well (e.g. Fung and Chen 2005;Dong et al 2006;Zarandi, Pourakbar, and Turksen 2008;Santa-Eulalia, D'Amours, and Frayret 2012;Li and Chan 2013). In a mass customisation context, Labarthe et al (2007) develop a multi-agent system (MAS) for the modelling and simulation of supply chains.…”

Section: Related Workmentioning

confidence: 99%

A fractal perspective-based methodological framework for supply chain modelling and distributed simulation with multi-agent system

Dai

Lin

Long

2014

International Journal of Production Research

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With the development of global economy, supply chain, as a recognised complex system, is becoming more complex for analysis. In this context, it is worth introducing the perspective of complex system in perceiving and modelling of supply chain system to address its dynamic, stochastic and uncertain characteristics. Therefore, this paper proposes a methodological framework of supply chain modelling and simulation based on the fractal perspective, and presents an all-round and systematic exposition of concept modelling and distributed simulation by means of multi-agent technology. In this framework, different supply chain scenarios focusing on manufacturing, inventory and transportation can be easily modelled and simulated at different scales and levels. In addition, a prototype system which implements the methodological framework and the key implementation techniques are presented as well. Finally, a supply chain example, which supposes manufacturer as the core member, is modelled and simulated with the prototype system to illustrate the effectiveness of the proposed framework.

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Section: Related Workmentioning

confidence: 99%

A fractal perspective-based methodological framework for supply chain modelling and distributed simulation with multi-agent system

Dai

Lin

Long

2014

International Journal of Production Research

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“…[22]. Other definition is: "a supply chain is a worldwide network consisting of suppliers, manufacturers, warehouses, distribution centers and retailers through which raw materials are purchased, transformed and delivered to customers" [10]. So, the supply chain is represented by a number of actors and many factors (inside and outside the company [13]) which have an impact of its functioning.…”

Section: Supply Chain and Disturbances -Literature Backgroundmentioning

confidence: 99%

Simulation of Supply Chain with Disturbances Using Flexsim - Case Study

Hoffa

Pawlewski

2015

Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection

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Abstract. The aim of the paper is to present a simulation model of transportation which includes different disturbances. The paper describes in detail modeled route and way of modeling some disturbances. In article authors presented influence of distinguished distortion to time of realization transport task. Authors create own object with using Discrete Event Simulation and Agent Based Simulation approach. The research highlights of the performed works are as follows: showing influence of disturbances to transportation time and present a description to build objects, which represent disturbances.

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“…Most task refinement and task allocation approaches rely on centralised components, such as blackboards (Wellman, 1993), tables of capabilities (Fung and Chen, 2005) or broker like auctioneers (Wellman et al, 2001). An obvious limitation of these approaches in very large networks is its non scalability.…”

Section: Motivationmentioning

confidence: 99%

COORDINATION IN OPEN AND UNSTRUCTURED INTELLIGENT AGENT SOCIETIES - Using Distributed Planners on Top of a Semantic Overlay Network

Lopes

Botelho

2010

Proceedings of the 2nd International Conference on Agents and Artificial Intelligence

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Abstract:Collaborative environments, where multiple heterogeneous agents (managing several resources) can cooperate in pursuing common and individual goals, are a step forward in creating real-world agent societies. However, current research in agent negotiation and in service coordination is still not enough for building such an agent-based society, capable of jointly solving complex planning problems and still achieve overall good performance. Most often, current work relies on either some centralised component or pre-defined social structure, which can compromise the system in terms of scalability, openness and robustness, and fails to address general problems. By using efficient network search algorithms and network evolution techniques it is possible to build and maintain a semantic overlay network from a totally unstructured distributed network, which in turn will simplify and optimize the distributed planning process amongst heterogeneous agents. We developed distributed versions of well-known planners that operate on top of the referred semantic overlay network and through a set of tests (using different scenarios) we were able to determine which is the best algorithm.

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A multiagent supply chain planning and coordination architecture

Cited by 49 publications

References 36 publications

A fractal perspective-based methodological framework for supply chain modelling and distributed simulation with multi-agent system

A fractal perspective-based methodological framework for supply chain modelling and distributed simulation with multi-agent system

Simulation of Supply Chain with Disturbances Using Flexsim - Case Study

COORDINATION IN OPEN AND UNSTRUCTURED INTELLIGENT AGENT SOCIETIES - Using Distributed Planners on Top of a Semantic Overlay Network

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