Incorporating transportation time in multi-agent production network scheduling

2012 ◽  
Vol 25 (12) ◽  
pp. 1111-1128 ◽  
Author(s):  
J. Behnamian ◽  
S.M.T. Fatemi Ghomi
Keyword(s):  
Production Network ◽  
Network Scheduling ◽  
Transportation Time ◽  
Multi Agent

A Multi-Agent System for Production Networks Simulation

2012 ◽  
pp. 1666-1682
Author(s):  
Samir Hamichi ◽  
Diana Mangalagiu ◽  
Zahia Guessoum
Keyword(s):  
Production Systems ◽  
Organizational Structures ◽  
Production Network ◽  
Production Networks ◽  
Adaptive Agents ◽  
Market Growth ◽  
Business Efficiency ◽  
Multi Agent ◽  
The Individual ◽  
Business Relations

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.

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
Keyword(s):  
Management System ◽  
Organizational Control ◽  
Production Network ◽  
Production Networks ◽  
Agent Based ◽  
Manufacturing Management ◽  
Management Concepts ◽  
National Production ◽  
Multi Agent ◽  
Time Planning

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.

A Multi-Agent System for Production Networks Simulation

2013 ◽  
pp. 41-57 ◽  
Author(s):  
Samir Hamichi ◽  
Diana Mangalagiu ◽  
Zahia Guessoum
Keyword(s):  
Production Systems ◽  
Organizational Structures ◽  
Production Network ◽  
Production Networks ◽  
Adaptive Agents ◽  
Market Growth ◽  
Business Efficiency ◽  
Multi Agent ◽  
The Individual ◽  
Business Relations

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.

Distributed Production Planning Models in Production Networks

2013 ◽  
pp. 175-199
Author(s):  
Paolo Renna
Keyword(s):  
Production Planning ◽  
Global Market ◽  
Production Network ◽  
Production Networks ◽  
Agent Architecture ◽  
Multiple Production ◽  
Coordination Strategies ◽  
Planning Models ◽  
Multi Agent ◽  
Distributed Production

Production networks can be dynamically structured and involving multiple production sites with different objectives. This organizational structure is able to match agility and efficiency to compete in the global market. In this environment is impossible for a single organization to control whole production networks; thus, a decentralized approach has been developed to manage the production networks. However, the coordinate mechanism in decentralized control is more important to obtain a high level of performance. The research proposes innovative coordination strategies for coordinate production networks by Multi Agent Architecture. A link between negotiation strategies and a production planning algorithm has been developed in order to support the coordination strategies proposed. In particular, two protocols to reach an agreement between customer and the production network have been proposed: negotiation and an expected profit approaches. Moreover, two coordination strategies have been proposed: index efficiency and ranking price approaches. Finally, the possibility of divide the orders in lots by the customer is proposed. A simulation environment based on open source code and Multi Agent Architecture has been developed to test the proposed approaches. The experiments have been conducted in different conditions of workload and mar-up; the results of the simulation provide the information necessary to select the suitable coordination and protocol mechanisms in a distributed production planning problem.

Research on the Slab Warehouse Transportation Scheduling Problem of the Iron-Steel Plant

2014 ◽  
Vol 513-517 ◽  
pp. 2710-2713
Author(s):  
Qi Qi Zhang ◽  
Peng Liu ◽  
Tao Zhang
Keyword(s):  
Mathematical Model ◽  
Steel Plant ◽  
Scheduling Problem ◽  
Multi Agent System ◽  
Agent System ◽  
Transportation Time ◽  
Multi Agent ◽  
Transportation Scheduling ◽  
Simulation Results

Based on slab location and discharge decision, this paper researches the solution of transportation scheduling in the Slab Warehouse, builds up a mathematical model with an objective of minimize the total transportation time considering the location and discharge task at the same time. Moreover, decentralizes this objective to different Agents to form a Multi-Agent system. And reconciles the conflicts among Agents based on a biding-arbitration mechanism. The simulation results show that the system could be performed efficiently and balanced.

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