Development of dynamic flow line-monitoring technique to enhance system transparency

C. S. Tang, Ching Yuen Chan, Kai Leung Yung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Unpredictable dynamic issues often occur in production activities. Identifying overall operating status is important to trigger the required response, since fluctuations can have a significant effect on logistics-associated functions. However, there are substantial obstacles to getting a good overview of the entire plant operation. Consequently, only piecemeal data are gathered and it is difficult to avoid interpretation discrepancies arising from data filtering. Such a scenario may even introduce negative effects into a system. Traditionally, system dynamics approaches feed signals back to a constructed model and use the difference to drive the system to a balanced stage. For manufacturing management, by recognising the characteristics of the element flows inside a system, it is possible to deduce the process's healthiness. This paper presents a technique to identify the dynamic changes along a flow line-type production.
Original languageEnglish
Pages (from-to)96-106
Number of pages11
JournalInternational Journal of Technology Intelligence and Planning
Volume3
Issue number1
DOIs
Publication statusPublished - 18 Jun 2007

Keywords

  • CIM
  • Computer integrated manufacturing
  • Decision model
  • Early warning
  • Identification
  • Manufacturing monitoring
  • Reasoning
  • System dynamics

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems and Management
  • Management of Technology and Innovation

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