Modelling electrical energy consumption in automotive paint shop

Industry players are seeking ways to reduce operational cost to sustain in a challenging economic trend. One key aspect is an energy cost reduction. However, implementing energy reduction strategy often struggle with obstructions, which slow down their realization and implementation. Discrete event...

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Main Authors: Oktaviandri, Muchamad, Aidil Shafiza, Safiee
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/23346/
http://umpir.ump.edu.my/id/eprint/23346/
http://umpir.ump.edu.my/id/eprint/23346/1/Modelling%20electrical%20energy%20consumption%20in%20automotive%20paint%20shop.pdf
id ump-23346
recordtype eprints
spelling ump-233462019-05-17T06:59:38Z http://umpir.ump.edu.my/id/eprint/23346/ Modelling electrical energy consumption in automotive paint shop Oktaviandri, Muchamad Aidil Shafiza, Safiee TS Manufactures Industry players are seeking ways to reduce operational cost to sustain in a challenging economic trend. One key aspect is an energy cost reduction. However, implementing energy reduction strategy often struggle with obstructions, which slow down their realization and implementation. Discrete event simulation method is an approach actively discussed in current research trend to overcome such obstructions because of its flexibility and comprehensiveness. Meanwhile, in automotive industry, paint shop is considered the most energy consumer area which is reported consuming about 50%-70% of overall automotive plant consumption. Hence, this project aims at providing a tool to model and simulate energy consumption at paint shop area by conducting a case study at XYZ Company, one of the automotive companies located at Pekan, Pahang. The simulation model was developed using Tecnomatix Plant Simulation software version 13. From the simulation result, the model was accurately within ±5% for energy consumption and ±15% for maximum demand after validation with real system. Two different energy saving scenarios were tested. Scenario 1 was based on production scheduling approach under low demand situation which results energy saving up to 30% on the consumption. Meanwhile scenario 2 was based on substituting high power compressor with the lower power compressor. The results were energy consumption saving of approximately 1.42% and maximum demand reduction about 1.27%. This approach would help managers and engineers to justify worthiness of investment for implementing the reduction strategies. IOP Publishing 2018-03 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23346/1/Modelling%20electrical%20energy%20consumption%20in%20automotive%20paint%20shop.pdf Oktaviandri, Muchamad and Aidil Shafiza, Safiee (2018) Modelling electrical energy consumption in automotive paint shop. In: 4th Asia Pacific Conference on Manufacturing Systems and the 3rd International Manufacturing Engineering Conference, APCOMS-iMEC 2017, 7-8 December 2017 , Yogyakarta, Indonesia. pp. 1-8., 319 (012060). ISSN 1757-8981 (Print); 1757-899X (Online) https://iopscience.iop.org/article/10.1088/1757-899X/319/1/012060/pdf
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TS Manufactures
spellingShingle TS Manufactures
Oktaviandri, Muchamad
Aidil Shafiza, Safiee
Modelling electrical energy consumption in automotive paint shop
description Industry players are seeking ways to reduce operational cost to sustain in a challenging economic trend. One key aspect is an energy cost reduction. However, implementing energy reduction strategy often struggle with obstructions, which slow down their realization and implementation. Discrete event simulation method is an approach actively discussed in current research trend to overcome such obstructions because of its flexibility and comprehensiveness. Meanwhile, in automotive industry, paint shop is considered the most energy consumer area which is reported consuming about 50%-70% of overall automotive plant consumption. Hence, this project aims at providing a tool to model and simulate energy consumption at paint shop area by conducting a case study at XYZ Company, one of the automotive companies located at Pekan, Pahang. The simulation model was developed using Tecnomatix Plant Simulation software version 13. From the simulation result, the model was accurately within ±5% for energy consumption and ±15% for maximum demand after validation with real system. Two different energy saving scenarios were tested. Scenario 1 was based on production scheduling approach under low demand situation which results energy saving up to 30% on the consumption. Meanwhile scenario 2 was based on substituting high power compressor with the lower power compressor. The results were energy consumption saving of approximately 1.42% and maximum demand reduction about 1.27%. This approach would help managers and engineers to justify worthiness of investment for implementing the reduction strategies.
format Conference or Workshop Item
author Oktaviandri, Muchamad
Aidil Shafiza, Safiee
author_facet Oktaviandri, Muchamad
Aidil Shafiza, Safiee
author_sort Oktaviandri, Muchamad
title Modelling electrical energy consumption in automotive paint shop
title_short Modelling electrical energy consumption in automotive paint shop
title_full Modelling electrical energy consumption in automotive paint shop
title_fullStr Modelling electrical energy consumption in automotive paint shop
title_full_unstemmed Modelling electrical energy consumption in automotive paint shop
title_sort modelling electrical energy consumption in automotive paint shop
publisher IOP Publishing
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/23346/
http://umpir.ump.edu.my/id/eprint/23346/
http://umpir.ump.edu.my/id/eprint/23346/1/Modelling%20electrical%20energy%20consumption%20in%20automotive%20paint%20shop.pdf
first_indexed 2023-09-18T22:34:54Z
last_indexed 2023-09-18T22:34:54Z
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