Development of the conceptual model of energy and utility management in textile processing: A soft systems approach

Wai Ting Ngai, Kin Man To, Siu Ming Ching, L. K. Chan, Maggie C.M. Lee, Y. S. Choi, P. Y.F. Chai

Research output: Journal article publicationJournal articleAcademic researchpeer-review

36 Citations (Scopus)

Abstract

This paper aims to use soft systems methodology (SSM) to identify management support system opportunities for managing energy and utility usage in textile manufacturing processes. It presents an approach based on SSM to analyze the complex situation of developing an effective energy and utility management support system (EUMSS). This involves the identification of the scope of the system and user requirements, conceptual modeling of complex problem situations, identification of actors and decision processes, and information-needs modeling. The current study pioneers the examination of the application of SSM to the development of a novel EUMSS and contributes to the body of information systems knowledge in the context of EUMSS design. There appears to be limited academic research in the field of energy and utility system development and, in particular, in the area of EUMSS design, and none in the area of the application of SSM to EUMSS design. In addition, the modeling process could be beneficial if EUMSS design ideas could be widely shared and discussed. The identified scope and system requirements can serve as a guideline for designing and developing an effective EUMSS for textile processing.
Original languageEnglish
Pages (from-to)607-617
Number of pages11
JournalInternational Journal of Production Economics
Volume135
Issue number2
DOIs
Publication statusPublished - 1 Feb 2012

Keywords

  • Conceptual model
  • Energy and utility management support system
  • Soft systems methodology
  • Textile manufacturing process

ASJC Scopus subject areas

  • General Business,Management and Accounting
  • Economics and Econometrics
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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