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An Investigation to Manufacturing Analytical Services Composition using the Analytical Target Cascading Method.

Kai-Wen Tien1, Boonserm Kulvatunyou2, Kiwook Jung2

  • 1Penn State University, State College, PA, U.S.A.

IFIP Advances in Information and Communication Technology
|August 4, 2017
PubMed
Summary
This summary is machine-generated.

Analytical Target Cascading (ATC) coordinates modular services for manufacturing system optimization. This approach achieves system-level optimal solutions through distributed, scalable executions, overcoming sub-optimal results from independent service optimization.

Keywords:
analytical target cascadingfactory design and improvementintegration optimizationservices compositionsmart manufacturing

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Area of Science:

  • Engineering
  • Computer Science
  • Operations Research

Background:

  • Cloud computing enables modular services for complex systems.
  • Manufacturing system design and performance improvement involve complex optimization problems.
  • Independent optimization of sub-problems can lead to suboptimal system-level solutions.

Purpose of the Study:

  • To investigate Analytical Target Cascading (ATC) for coordinating optimization of loosely-coupled sub-problems.
  • To demonstrate ATC's capability in achieving system-level optimal solutions.
  • To explore ATC's scalability and ease of problem formulation management.

Main Methods:

  • Formulating sub-problems as modular analytical services.
  • Employing Analytical Target Cascading (ATC) for inter-service coordination.
  • Utilizing distributed and modular execution for optimization.

Main Results:

  • ATC effectively coordinates the optimization of modular services.
  • The method yields system-level optimal solutions.
  • ATC facilitates scalable, distributed problem-solving.

Conclusions:

  • Analytical Target Cascading (ATC) is a promising technique for manufacturing system optimization.
  • ATC enables optimal solutions by coordinating modular services.
  • The approach supports scalable, distributed execution and simplifies problem management.