A Methodology to Integrate Artificial Intelligence with the Design Structure Matrix Approach

C. N. Medoh, A. Telukdarie

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Large multinationals execute business functions based on complex Business Processes (BP). Business Units (BU) have undertaken numerous measures towards enhancing the optimization of complex BP. Intricate relationships exist in presenting the information flow of complex BP. BU employ a variety of techniques to optimize the complex relationships of BP. The Design Structure Matrix (DSM) techniques and Artificial Intelligence (AI) system present an efficient methodology for defining and optimizing collaborative BP. This research presents the applications of both approaches for complex BP modelling and management. The research results demonstrate the effectiveness of integrating AI and DSM as an enhanced decision support for optimizing complex BP.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
PublisherIEEE Computer Society
Pages783-787
Number of pages5
ISBN (Electronic)9781538667866
DOIs
Publication statusPublished - 2 Jul 2018
Event2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 - Bangkok, Thailand
Duration: 16 Dec 201819 Dec 2018

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2019-December
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
Country/TerritoryThailand
CityBangkok
Period16/12/1819/12/18

Keywords

  • Artificial intelligence
  • business processes
  • design structure matrix
  • large multinationals

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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