scholarly journals An Agent-Based Manufacturing Management System for Production and Logistics within Cross-Company Regional and National Production Networks

10.5772/5808 ◽  
2005 ◽  
Vol 2 (1) ◽  
pp. 2 ◽  
Author(s):  
S. Heinrich ◽  
H. Durr ◽  
T. Hanel ◽  
J. Lassig

The goal is the development of a simultaneous, dynamic, technological as well as logistical real-time planning and an organizational control of the production by the production units themselves, working in the production network under the use of Multi-Agent-Technology. The design of the multi-agent-based manufacturing management system, the models of the single agents, algorithms for the agent-based, decentralized dispatching of orders, strategies and data management concepts as well as their integration into the SCM, basing on the solution described, will be explained in the following.

Author(s):  
Carlos M. Toledo ◽  
Omar Chiotti ◽  
María R. Galli

This chapter presents an agent-based architecture for integrating organizational knowledge repositories and business processes orchestrated by a workflow management system. This architecture proactively provides relevant knowledge to workflow tasks considering their context, and stores the information generated by its execution for future requirements. It describes components of the architecture, models a multi-agent system that enables the integration, presents a strategy to annotate and retrieval knowledge of non-structured information sources, and defines a new workflow pattern to be used in knowledge intensive tasks in order to make possible the knowledge provision. This architecture allows workers to count, in a proactive way, with all necessary information for the task executions without suspending their activities to retrieve information scattered in the organization. It reduces the wasted time in manual knowledge searches included in mostly knowledge management approaches.


Author(s):  
H.V.V. Priyadarshana ◽  
K.T.M. U Hemapala ◽  
W.D.A. S Wijayapala ◽  
V. Saravanan ◽  
M.A. Kalhan S. Boralessa

2012 ◽  
pp. 1666-1682
Author(s):  
Samir Hamichi ◽  
Diana Mangalagiu ◽  
Zahia Guessoum

In this chapter, the authors present a multi-agent model aimed to investigate emergent organizational structures in production networks and their reification by means of pheromone-based algorithms. The model considers agents (firms) embedded in a production network, interacting among them through business-to-business relations. The evolution of the network structure is endogenous, as it takes into account the individual behavior of the firms and their interactions. The firms are adaptive agents taking investment decisions according to their business efficiency. They adapt their prices to be competitive and get a larger share of the market. Also, they adapt their business relations with their suppliers in order to reduce costs of inputs and get orders satisfied. The agent’s proactivity, with very simple decision mechanisms at the micro level, leads to the emergence of meta-stable business clusters and supply chains at the macro level. Pheromone-based algorithms reify dynamically these clusters as explicit graphs. The results of the authors’ simulations show the impact of the transportation cost and the geographical reach on the regionalization of production and on wealth patterns. Individual firms, with local B2B interactions and decisions, form stable production systems based on the supply/demand and market growth mechanisms leading to the maturation of the market.


2014 ◽  
Vol 41 (4) ◽  
pp. 1024-1042 ◽  
Author(s):  
Muhammad Fahad ◽  
Olivier Boissier ◽  
Pierre Maret ◽  
Nejib Moalla ◽  
Christophe Gravier

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