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A multi-criteria economic evaluation framework for control system configuration-framework and case study

  • Rutgers - The State University of New Jersey, New Brunswick
  • Siemens

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The underlying methodology includes three main components: A digital factory/simulation model, a knowledge base/expert system and a multi-criteria evaluation model to compute the scores of different control designs and configurations on economic terms. For the economic evaluation, an existing methodology, Non-Traditional Capital Investment Criteria (NCIC) is used which allows us to incorporate into the analysis both traditional criteria, readily measurable in financial benefits, and non-traditional criteria that are not easily measurable based on their financial benefits. These non-financial benefits could be quantitative (measurable, but not necessarily in dollars) or qualitative (not measurable at all). An example is used to demonstrate this method by comparing the economic value of two control design alternatives for a singulator- a centralized control where one motion controller controls all the axes, and a distributed configuration where the control of the axes are taken by two controllers, working autonomously, and interacting whenever necessary.

Original languageEnglish
Title of host publication2nd IFAC Workshop on Dependable Control of Discrete Systems, DCDS'09 - Proceedings
Pages140-145
Number of pages6
EditionPART 1
StatePublished - 2009
Event2nd IFAC Workshop on Dependable Control of Discrete Systems, DCDS'09 - Bari, Italy
Duration: Jun 10 2009 → Jun 12 2009

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume2
ISSN (Print)1474-6670

Conference

Conference2nd IFAC Workshop on Dependable Control of Discrete Systems, DCDS'09
Country/TerritoryItaly
CityBari
Period6/10/09 → 6/12/09

ASJC Scopus Subject Areas

  • Control and Systems Engineering

Keywords

  • Analytical hierarchy process
  • Digital factory
  • Distributed control
  • Multi-criteria economic evaluation

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