A Multi-Agent System for Smart Coordination of Dynamic Supply Chains

Rabelo, Ricardo J.; Klen, Alexandra A. Pereira; Klen, Edmilson Rampazzo

doi:10.1007/978-0-387-35585-6_41

Cited by 18 publications

(8 citation statements)

References 3 publications

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“…Some authors have approached this problem (including the operation phase) in different ways. For example, Rabelo and Pereira-Klen [7] have introduced a fixed decision protocol to deal with changes in the VE. Hodík and Stach [8] have developed a multi-agent-based decision support system to simulate the impact of decisions.…”

Section: Managing the Ve Evolutionmentioning

confidence: 99%

“…• Modular and flexible execution of decision protocols: decision protocols can be seen as an instrument to: i) systemize a set of actions where there is a strong human intervention, ii) standardize and iii) enhance their execution efficiency [7]. The idea is to provide a base protocol where flexible configurations can be made considering the particularities of each VE.…”

Section: Managing the Ve Evolutionmentioning

confidence: 99%

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Managing Decisions on Changes in the Virtual Enterprise Evolution

Drissen-Silva

Rabelo

2009

Leveraging Knowledge for Innovation in Collaborative Networks

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Abstract. VE evolution deals with problems that happen during the VE operation and that put on risk planned results. This requires the application of problem-solving mechanisms to guarantee the construction of a new but feasible VE plan. Grounded on Project Management and Decision Support Systems foundations, this paper proposes a distributed collaborative decision support system to manage the VE evolution. Its main rationale is that VE's members are autonomous and hence that all the affected partners should discuss about the necessary changes on the current VE's plan. In the proposed approach, this discussion is guided by a decision protocol, and the impact of decisions can be evaluated. Results of a first prototype implementation are presented and discussed, with a special focus on the part which regulates the argumentation, voting and comparison of possible solutions.

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Section: Managing the Ve Evolutionmentioning

confidence: 99%

Section: Managing the Ve Evolutionmentioning

confidence: 99%

Managing Decisions on Changes in the Virtual Enterprise Evolution

Drissen-Silva

Rabelo

2009

Leveraging Knowledge for Innovation in Collaborative Networks

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“…Simulation is an ideal tool for further analyzing the performance of a proposed design derived from an optimization model. Regarding the ASC complex adaptive systems (CAS) and multi agent systems (MAS) are one of the most popular simulation techniques (Swaminanthan et al 1998;Rabelo et al, 2002). The past research on utilization of the MAS to the ASC have been mostly dealing with agent based frameworks and software architectures.…”

Section: Introductionmentioning

confidence: 99%

Parametric Adaptation Of Models Describing Structure-Dynamics Control Processes In Complex Technical Systems (CTS)

Ivanov¹,

Sokolov²,

Verzilin³

et al. 2009

ECMS 2009 Proceedings Edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera

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In this paper, a dynamical multiple criteria model of integrated adaptive planning and scheduling for complex technical system (CTS) is presented. Various types of CTS are used nowadays, for example: virtual enterprises, supply chains, telecommunication systems, etc. Hereafter, we mostly interpret CTS as the systems of the above-mentioned types. The adaptation control loops are explicitly integrated with the analyticalsimulation model. The mathematical approach is based on a combined application of control theory, operations research, systems analysis, and modeling and simulation theory. In particular, a scheduling problem for CTS is considered in a dynamical interpretation. New procedures of dynamic decomposition help to find the parameters value of models adaptation. The example demonstrates a general optimization scheme to be applied to the problem of competencies division between the coordinating and operating levels of CTS via parametric adaptation of models describing structure-dynamics control processes.

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“…DBPMS system (Rabelo et al, 2000) was an evolution of ILMSS, and it was developed to coordinate conflicts among partners in a Supply Chain applying a modular but fixed approach to generate decision protocols. SC 2 (Rabelo & Pereira-Klen 2002) was a multi-agent system developed as an evolution of DBPMS. One of its agents was responsible for managing conflicts that took place along the execution of tasks in dynamic Supply Chains.…”

Section: Decision Protocolsmentioning

confidence: 99%