Real Time Distributed Shop Floor Scheduling: An Agent-based Service-oriented Framework

2007 ◽  
pp. 175-199
Author(s):  
Chun Wang ◽  
Kewei Li ◽  
Hamada Ghenniwa ◽  
Weiming Shen ◽  
Ying Wang
Keyword(s):  
Real Time ◽  
Shop Floor ◽  
Agent Based ◽  
Service Oriented ◽  
Shop Floor Scheduling

Agent-Based Shop Floor Scheduling

2017 ◽  
pp. 24-36 ◽  
Author(s):  
Martin Klima ◽  
Jan Gregor ◽  
Ondrej Harcuba ◽  
Vladimir Marik
Keyword(s):  
Shop Floor ◽  
Agent Based ◽  
Shop Floor Scheduling

Game Theory Based Real-Time Shop Floor Scheduling Strategy and Method for Cloud Manufacturing

2016 ◽  
Vol 32 (4) ◽  
pp. 437-463 ◽  
Author(s):  
Yingfeng Zhang ◽  
Jin Wang ◽  
Sichao Liu ◽  
Cheng Qian
Keyword(s):  
Game Theory ◽  
Real Time ◽  
Cloud Manufacturing ◽  
Shop Floor ◽  
Scheduling Strategy ◽  
Shop Floor Scheduling

Agent-based shop-floor scheduling of multi stage systems

1999 ◽  
Vol 37 (1-2) ◽  
pp. 457-460 ◽  
Author(s):  
A. Brun ◽  
A. Portioli
Keyword(s):  
Shop Floor ◽  
Agent Based ◽  
Multi Stage ◽  
Shop Floor Scheduling

Mobile Agent Based Integration Framework for Flexible Dynamic Job Shop Scheduling

2009 ◽  
Author(s):  
Hua-Jun Cao ◽  
Yu-Cheng Chou ◽  
Harry H. Cheng
Keyword(s):  
Real Time ◽  
Mobile Agent ◽  
Production Scheduling ◽  
Job Shop ◽  
Dynamic Scheduling ◽  
Shop Floor ◽  
Real Time Processing ◽  
Agent Based ◽  
Scheduling Model ◽  
Cell Data

Although production scheduling has been extensively studied, it is limited in the scope of applications. A mobile agent based flexible dynamic scheduling framework is presented in this article as a scheme to integrate various scheduling models, approaches, and algorithms, and flexibly and autonomously adapt the disturbances in the shop floor. Therefore, such a mobile agent based framework can help expand the scope of applications in the production scheduling field. In this framework, there are three kinds of main agents, including order data agent, scheduling model agent, and cell data agent. The order and cell data agents are designed to acquire dynamically calculated and formatted data from the systems and devices. The scheduling model agent is designed to obtain the optimal solution for distributed manufacturing cells to achieve high performance, such as minimizing the energy consumption. Devices, such as machine tools, are integrated into the framework through intelligent embedded terminals, which can be used by human operators or triggered by sensors to acquire the real-time processing data and on-the-spot conditions. A C based multi-agent platform, which is called Mobile-C, is adopted to develop the mobile agents for real-time and resource constrained applications with interface to hardware in different execution environments. A computational experiment of energy-saving scheduling based on generic algorithm is presented to validate the proposed mobile agent-based dynamic scheduling framework.

Real-time dynamic shop floor scheduling using Evolutionary Algorithms

2002 ◽  
Vol 79 (2) ◽  
pp. 113-120 ◽  
Author(s):  
J. Käschel ◽  
Tobias Teich ◽  
Bernd Zacher
Keyword(s):  
Evolutionary Algorithms ◽  
Real Time ◽  
Shop Floor ◽  
Time Dynamic ◽  
Shop Floor Scheduling

Agent Based Infrastructure with RFID Technology for Autonomous Shop Floor Control System

2011 ◽  
Vol 341-342 ◽  
pp. 596-600
Author(s):  
Peter Iming Shieh ◽  
Yao Chang Jeng ◽  
Ming Piao Tsai
Keyword(s):  
Control System ◽  
Control Systems ◽  
Real Time ◽  
Computer Integrated Manufacturing ◽  
Shop Floor ◽  
Rfid Technology ◽  
Shop Floor Control ◽  
Line Planning ◽  
Agent Based ◽  
Floor Control

Automatic shop floor control system in distributed computing context is one of the most important links in Computer Integrated Manufacturing (or CIM) system. For most agent-based manufacturing control systems, a real-time product data available mechanism is not considered. In this paper, an integrated approach of RFID technology and multi-agent system of shot-floor control is presented. The proposed framework uses RFID for tracking products in the system and also for attaching product manufacturing information. This shift from off-line planning systems to on-line control systems will facilitate implementations of real-time scheduling requirement in autonomous manufacturing environment.

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