A framework to predict energy related key performance indicators of manufacturing systems at early design phase

F. Assad*, B. Alkan, M. K. Chinnathai, M. H. Ahmad, E. J. Rushforth, R. Harrison

*Corresponding author for this work

Research output: Contribution to conferenceConference Paper

1 Citation (Scopus)
23 Downloads (Pure)

Abstract

Increasing energy prices, growing market competition, strict environmental legislations, concerns over global climate change and customer interaction incentivise manufacturing firms to improve their production efficiency and minimise bad impacts to environment. As a result, production processes are required to be investigated from energy efficiency perspective at early design phase where most benefits can be attained at low cost, time and risk. This article proposes a framework to predict energy-related key performance indicators (e-KPIs) of manufacturing systems at early design and prior to physical build. The proposed framework is based on the utilisation and incorporation of virtual models within VueOne virtual engineering (VE) tool and WITNESS discrete event simulation (DES) to predict e-KPIs at three distinct levels: production line, individual workstations and the components as individual energy consumption units (ECU). In this framework, alternative designs and configurations can be investigated and benchmarked in order to implement and build the best energy-efficient system. This ensures realising energy-efficient production system design while maintaining predefined production system targets such as cycle-time and throughput rate. The proposed framework is exemplified by a use case of a battery module assembly system. The results reveal that the proposed framework results meaningful e-KPIs capable of supporting manufacturing system designers in decision making in terms of component selection and process design towards an improved sustainability and productivity.

Original languageEnglish
Pages145-150
Number of pages6
DOIs
Publication statusE-pub ahead of print - 24 Jun 2019
Event52nd CIRP Conference on Manufacturing Systems, CMS 2019 - Ljubljana, Slovenia
Duration: 12 Jun 201914 Jun 2019

Conference

Conference52nd CIRP Conference on Manufacturing Systems, CMS 2019
CountrySlovenia
CityLjubljana
Period12/06/1914/06/19

Keywords

  • Design phase validation
  • Discrete event simulation
  • Energy key performance indicators
  • Sustainable manufacturing
  • Virtual engineering

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    Assad, F., Alkan, B., Chinnathai, M. K., Ahmad, M. H., Rushforth, E. J., & Harrison, R. (2019). A framework to predict energy related key performance indicators of manufacturing systems at early design phase. 145-150. Paper presented at 52nd CIRP Conference on Manufacturing Systems, CMS 2019, Ljubljana, Slovenia. https://doi.org/10.1016/j.procir.2019.03.026