Process centric energy modelling for multinational manufacturing corporations

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


The industrial sector has traditionally utilised energy models and control and monitoring software for energy system evaluation and optimisation. A limitation of this approach is that the focus is primarily on manufacturing processes, not necessarily providing a comprehensive enterprise evaluation. The nonmanufacturing activities require evaluation as the contributions of associated services such as technical building services, ICT and other on energy demand continues to increase. This limitation is especially concerning for Multinational Manufacturing Corporations (MMC's) with business sites across various geographic locations, which can vary from manufacturing to warehousing to corporate. This research introduces the Process Centric Energy Model, which utilises business processes for energy evaluation and optimisation at MMC's. MMC's conduct business by enablement of business processes, which supports the energy evaluation of any business activity on any site. The concept and methodology of application of the Process Centric Energy Model is demonstrated with the procurement and electroplating business processes. The results demonstrate that business processes can be applied for energy quantification and optimisation of both manufacturing and non-manufacturing business activities, thus providing a comprehensive MMC energy evaluation.

Original languageEnglish
Pages (from-to)465-473
Number of pages9
JournalProceedings of the International Conference on Industrial Engineering and Operations Management
Issue numberJUL
Publication statusPublished - 2018
Event2nd European International Conference on Industrial Engineering and Operations Management.IEOM 2018 -
Duration: 26 Jul 201827 Jul 2018


  • Business processes and multinational manufacturing corporations
  • Energy models
  • Process centric

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering


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