An investigation to manufacturing analytical services composition using the analytical target cascading method

Kai Wen Tien, Boonserm Kulvatunyou, Kiwook Jung, Vittaldas Prabhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As cloud computing is increasingly adopted, the trend is to offer software functions as modular services and compose them into larger, more meaningful ones. The trend is attractive to analytical problems in the manufacturing system design and performance improvement domain because (1) finding a global optimization for the system is a complex problem; and (2) sub-problems are typically compartmentalized by the organizational structure. However, solving sub-problems by independent services can result in a sub-optimal solution at the system level. This paper investigates the technique called Analytical Target Cascading (ATC) to coordinate the optimization of loosely-coupled subproblems, each may be modularly formulated by differing departments and be solved by modular analytical services. The result demonstrates that ATC is a promising method in that it offers system-level optimal solutions that can scale up by exploiting distributed and modular executions while allowing easier management of the problem formulation.

Original languageEnglish (US)
Title of host publicationAdvances in Production Management Systems
Subtitle of host publicationInitiatives for a Sustainable World - IFIP WG 5.7 International Conference, APMS 2016, Revised Selected Papers
EditorsIrenilza Naas, Oduvaldo Vendrametto, Joao Mendes Reis, Rodrigo Franco Goncalves, Marcia Terra Silva, Gregor Kiritsis, Gregor von Cieminski
PublisherSpringer New York LLC
Pages469-477
Number of pages9
ISBN (Print)9783319511320
DOIs
StatePublished - 2016
EventIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2016 - Iguassu Falls, Brazil
Duration: Sep 3 2016Sep 7 2016

Publication series

NameIFIP Advances in Information and Communication Technology
Volume488
ISSN (Print)1868-4238

Other

OtherIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2016
CountryBrazil
City Iguassu Falls
Period9/3/169/7/16

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management

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