DMAIC Six Sigma methodology in petroleum hydrocarbon oil classification

Azimah Ismail, Saiful Bahri Mohamed, Hafizan Juahir, Mohd. Ekhwan Toriman, Azlina Md Kassim, Sharifuddin Md Zain, Wan Kamaruzaman Wan Ahmad, Wong Kok Fah, Ananthy Retnam, Mazlin Mokhtar, Munirah Abdul Zali, Mohd Zaki Mohd Taib, Chun Yang

Research output: Contribution to journalArticle

Abstract

This research focuses on the use of the DMAIC method (Define, Measure, Analyze, Improve and Control) as a Six Sigma approach in studying oil spill fingerprint of samples recovered from Peninsular Malaysia and Sabah (East Malaysia). The DMAIC approach in this study was used as a way to classify oil types based on data obtained from GC-FID and GC-MS measurements. The cause-effect diagram was used to define the factors leading to the failure of the oil spill fingerprinting based on inaccurate oil type clustering. Discriminant Analysis (DA) was also applied to quantify the root-cause of the failure. An Ishikawa diagram obtained in the analysis phase identifies the potential failure causal. Principal component analysis (PCA) was applied and was successful in discriminating four clusters of oil types, namely diesel, heavy fuel oil (HFO), mixture oil lube and fuel oil (MOLFO) and waste oil (WO) with a total variance of 85.3%. In the control phase, the use of a Pareto chart indicated 100% cumulative percentage of oil type clustering with a 95% confidence level. The DMAIC approach to be effective in solving oil spill fingerprinting problems and results in quality improvement in the clustering of oil spills into the different hydrocarbon types.

Original languageEnglish
Pages (from-to)98-106
Number of pages9
JournalInternational Journal of Engineering and Technology(UAE)
Volume7
Issue number3.14 Special Issue 14
Publication statusPublished - 1 Jan 2018

Fingerprint

Total Quality Management
Mineral Oil
Petroleum
Petroleum Pollution
Oils
Crude oil
Hydrocarbons
Oil spills
Malaysia
Fuel Oils
Cluster Analysis
Fuel oils
Gasoline
Residual fuels
Phase control
Dermatoglyphics
Discriminant Analysis
Discriminant analysis
Quality Improvement
Principal Component Analysis

Keywords

  • Cause effect-diagram
  • Chemometrics
  • DMAIC
  • Oil spill classification
  • Oil spill fingerprint
  • Six Sigma

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science (miscellaneous)
  • Environmental Engineering
  • Chemical Engineering(all)
  • Engineering(all)
  • Hardware and Architecture

Cite this

Ismail, A., Mohamed, S. B., Juahir, H., Toriman, M. E., Kassim, A. M., Zain, S. M., ... Yang, C. (2018). DMAIC Six Sigma methodology in petroleum hydrocarbon oil classification. International Journal of Engineering and Technology(UAE), 7(3.14 Special Issue 14), 98-106.

DMAIC Six Sigma methodology in petroleum hydrocarbon oil classification. / Ismail, Azimah; Mohamed, Saiful Bahri; Juahir, Hafizan; Toriman, Mohd. Ekhwan; Kassim, Azlina Md; Zain, Sharifuddin Md; Ahmad, Wan Kamaruzaman Wan; Fah, Wong Kok; Retnam, Ananthy; Mokhtar, Mazlin; Zali, Munirah Abdul; Taib, Mohd Zaki Mohd; Yang, Chun.

In: International Journal of Engineering and Technology(UAE), Vol. 7, No. 3.14 Special Issue 14, 01.01.2018, p. 98-106.

Research output: Contribution to journalArticle

Ismail, A, Mohamed, SB, Juahir, H, Toriman, ME, Kassim, AM, Zain, SM, Ahmad, WKW, Fah, WK, Retnam, A, Mokhtar, M, Zali, MA, Taib, MZM & Yang, C 2018, 'DMAIC Six Sigma methodology in petroleum hydrocarbon oil classification', International Journal of Engineering and Technology(UAE), vol. 7, no. 3.14 Special Issue 14, pp. 98-106.
Ismail A, Mohamed SB, Juahir H, Toriman ME, Kassim AM, Zain SM et al. DMAIC Six Sigma methodology in petroleum hydrocarbon oil classification. International Journal of Engineering and Technology(UAE). 2018 Jan 1;7(3.14 Special Issue 14):98-106.
Ismail, Azimah ; Mohamed, Saiful Bahri ; Juahir, Hafizan ; Toriman, Mohd. Ekhwan ; Kassim, Azlina Md ; Zain, Sharifuddin Md ; Ahmad, Wan Kamaruzaman Wan ; Fah, Wong Kok ; Retnam, Ananthy ; Mokhtar, Mazlin ; Zali, Munirah Abdul ; Taib, Mohd Zaki Mohd ; Yang, Chun. / DMAIC Six Sigma methodology in petroleum hydrocarbon oil classification. In: International Journal of Engineering and Technology(UAE). 2018 ; Vol. 7, No. 3.14 Special Issue 14. pp. 98-106.
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