Distributed manufacturing control with extended CNP interaction of intelligent products

This paper describes two heterarchical architectures which use distributed intelligence for the control (operation scheduling, resource allocation and product routing) of a manufacturing cell. In these architectures intelligence is put respectively at the product and through the network of workstati...

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Bibliographic Details
Published in:Journal of intelligent manufacturing 2014-10, Vol.25 (5), p.1065-1075
Main Authors: Borangiu, Theodor, Raileanu, Silviu, Trentesaux, Damien, Berger, Thierry, Iacob, Iulia
Format: Article
Language:English
Subjects:
Analysis
Automatic
Automation
Business and Management
Communication
Computer programs
Control
Cooperation
Decentralization
Decision making
Decisions
Embedded systems
Engineering Sciences
Fault tolerance
Intelligence
Intelligent systems
Machines
Manufacturing
Manufacturing execution systems
Mathematical models
Mechatronics
Negotiations
Networks
Operation scheduling
Processes
Production
Resource allocation
Robotics
Scheduling
Studies
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Summary:This paper describes two heterarchical architectures which use distributed intelligence for the control (operation scheduling, resource allocation and product routing) of a manufacturing cell. In these architectures intelligence is put respectively at the product and through the network of workstation computers. The cost of embedded specialized hardware required for the first option is still very high. The second option needs the utilization of Automatic Identification and Data Capture technology close to the product to permit its identification and tracking by the computer system. These technologies enable the automated identification of objects, the collection of data about them, and the storage of that data directly into computer systems. Through this network, the computer system can access or update information in databases about the products and connect with software agents that represent production orders and resources and take in common decisions through negotiation and contract-based rules. The theory of the proposed solutions is based on the holonic manufacturing and product-driven automation concepts. The implementation methodology along with experimental results is presented, emphasizing the advantages of each solution.
ISSN:0956-5515
1572-8145
DOI:10.1007/s10845-013-0740-3