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Artificial Intelligence Techniques for Networked Manufacturing Enterprises ManagementDiverse Risk/Cost Balancing Strategies for Flexible Tool Management in a Supply Network

Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management: Diverse... [This work is a part of a wider-scope research concerned with the development and implementation of a multi-agent tool management system (MATMS) for automatic tool procurement. The design, functioning, and performance of diverse flexible tool management strategies integrated in the MATMS is illustrated here. The MATMS operates in the frame of a negotiation based multiple-supplier network where a turbine blade producer (customer) requires from external tool manufacturers (suppliers) the performance of dressing operations on worn-out cubic boron nitride grinding wheels for nickel base alloy turbine blade fabrication. The diverse FTMS paradigms, configured as domain-specific problem-solving functions operating within the MATMS intelligent agent holding the responsibility for optimum tool inventory sizing and control, have been tested by tool inventory management simulations and comparison with real industrial cases.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Artificial Intelligence Techniques for Networked Manufacturing Enterprises ManagementDiverse Risk/Cost Balancing Strategies for Flexible Tool Management in a Supply Network

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/lp/springer-journals/artificial-intelligence-techniques-for-networked-manufacturing-udSmiuFPOL
Publisher
Springer London
Copyright
© Springer-Verlag London 2010
ISBN
978-1-84996-118-9
Pages
271 –313
DOI
10.1007/978-1-84996-119-6_10
Publisher site
See Chapter on Publisher Site

Abstract

[This work is a part of a wider-scope research concerned with the development and implementation of a multi-agent tool management system (MATMS) for automatic tool procurement. The design, functioning, and performance of diverse flexible tool management strategies integrated in the MATMS is illustrated here. The MATMS operates in the frame of a negotiation based multiple-supplier network where a turbine blade producer (customer) requires from external tool manufacturers (suppliers) the performance of dressing operations on worn-out cubic boron nitride grinding wheels for nickel base alloy turbine blade fabrication. The diverse FTMS paradigms, configured as domain-specific problem-solving functions operating within the MATMS intelligent agent holding the responsibility for optimum tool inventory sizing and control, have been tested by tool inventory management simulations and comparison with real industrial cases.]

Published: Jan 1, 2010

Keywords: Inventory Level; Cubic Boron Nitride; Supply Network; Demand Rate; Actual Shipment

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