Multi-agent based beam search for intelligent production planning and scheduling

This study intends to propose an intelligent system with agent technology in order to realize integration and cooperation of multi-project production planning and scheduling process. The agent-based system framework, in which various intelligent agents worked together to perform multi-project production planning and scheduling tasks in an autonomous and collaborative way, is put forward. The system consists of three categories of agents and functional definition of each intelligent agent is presented. Moreover, agents communication mechanism and cooperation sequence diagram are proposed. Furthermore, an intelligent algorithm based on fuzzy comprehensive evaluation is designed to resolve competition conflicts among the agents. Finally, an experiment example was illustrated and the algorithm was demonstrated feasible and efficient.

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ProPlanT as a Multi-Agent Technology for Decision-Making Support

Encyclopedia of Networked and Virtual Organizations ◽

10.4018/978-1-59904-885-7.ch169 ◽

2010 ◽

pp. 1287-1294

Author(s):

Vladimir Marík ◽

Michal Pechoucek ◽

Jiri Vokrínek

Keyword(s):

Decision Making ◽

Computational Model ◽

Production Planning ◽

Agent Technology ◽

Planning And Scheduling ◽

Distributed Structure ◽

Production Planning And Scheduling ◽

Decision Making Problem ◽

Multi Agent ◽

Decision Making Support

Production planning and resource allocation is a complex industrial decision-making problem. Sophisticated computational model of a manufacturing domain may support this decision making by simulation of multiple variants of alternative plans and thus help identifying the most suitable one (according to defined conditions). Multi-agent system is an example of such a computational model as it can naturally represent the hierarchical and distributed structure of the manufacturing enterprise that is modelled. This item presents and discusses ProPlanT (Marík, Pechoucek, Štepánková, & Lažanský, 2000), a specific multi-agent technology/methodology for production planning and scheduling in the manufacturing domain. This methodology resulted in a framework for decision making support which was successfully applied in several pioneer applications.

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Agent-based hierarchical production planning and scheduling in make-to-order manufacturing system

International Journal of Production Economics ◽

10.1016/j.ijpe.2013.08.022 ◽

2014 ◽

Vol 149 ◽

pp. 117-130 ◽

Cited By ~ 40

Author(s):

N. He ◽

D.Z. Zhang ◽

Q. Li

Keyword(s):

Production Planning ◽

Manufacturing System ◽

Planning And Scheduling ◽

Agent Based ◽

Hierarchical Production Planning ◽

Production Planning And Scheduling ◽

Make To Order

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An agent-based architecture for production scheduling in dynamic job-shop manufacturing system

at - Automatisierungstechnik ◽

10.1515/auto-2017-0119 ◽

2018 ◽

Vol 66 (6) ◽

pp. 492-502 ◽

Cited By ~ 3

Author(s):

Om Ji Shukla ◽

Gunjan Soni ◽

Rajesh Kumar ◽

Sujil A

Keyword(s):

Production Planning ◽

Production Scheduling ◽

Manufacturing System ◽

Job Shop ◽

Shop Floor ◽

Efficient Production ◽

Planning And Scheduling ◽

Agent Based ◽

Production Planning And Scheduling ◽

Key Issues

Abstract In a highly competitive environment, effective production is one of the key issues which can be addressed by efficient production planning and scheduling in the manufacturing system. This paper develops an agent-based architecture which enables integration of production planning and scheduling. In addition, this architecture will facilitate real time production scheduling as well as provide a multi-agent system (MAS) platform on which multiple agents will interact to each other. A case study of job-shop manufacturing system (JMS) has been considered in this paper for implementing the concept of MAS. The modeling of JMS has been created in SimEvents which integrates an agent-based architecture developed by Stateflow to transform into dynamic JMS. Finally, the agent-based architecture is evaluated using utilization of each machine in the shop floor with respect to time.

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