DMAIC Six Sigma Methodology in Petroleum Hydrocarbon Oil Classification

  • Authors

    • 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
    2018-07-25
    https://doi.org/10.14419/ijet.v7i3.14.16868
  • Cause effect-diagram, chemometrics, DMAIC, oil spill classification, oil spill fingerprint, Six Sigma.

  • 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.

     

     

  • References

    1. [1] C. L. Leaphart, T. Gonwa, M. L Mai, M. B. Prendergast, H. M. Wadei, J. J. Tepas & C. B. Taner, Formal quality improvement curriculum and DMAIC method results in interdisciplinary collaboration and process improvement in renal transplant patients. Journal of Surgical Research, 177(1) (2012) 7–13.

      [2] S. Koziolek and D. Derlukiewicz, 2012. Method of assessing the quality of the design process of construction equipment with the use of DFSS (design for Six Sigma). Automation in Construction, 22 (2012) 223-232.

      [3] M.P.J. Pepper, T.A. Spedding, The evolution of Lean Six Sigma. Int.J.Qual. Reliab.Manag. 27(2) (2010) 138–155.

      [4] I. Manuj & F. Sahin, A model of supply chain and supply chain decision-making complexity. International Journal of Physical Distribution and Logistics Management, 41(5) (2011) 511–549.

      [5] R. Liu & A. Kumar, Leveraging information sharing to configure supply chains. Information Systems Frontiers, 13(1) (2011) 139–151.

      [6] T. J. Goldsby & R. Martichenko, Lean Six Sigma logistics: Strategic development to operational success. Plantation, FL: J. Ross Publishing, 2005.

      [7] B.W. Jacobs, M. Swink & K. Linderman (2015). Performance effects of early and late six sigma adoption. Journal of Operations Management 36 (2015) 244–257.

      [8] K. Jayaraman, T.L. Kee, K.L. Soh, The perceptions and perspectives of Lean Six Sigma (LSS) practitioners: anempirical study in Malaysia. TQMJ 24(5) (2012) 433–446.

      [9] S. Kumar and S. Schmitz, Managing recalls in a consumer product supply chain – root cause analysis and measures to mitigate risks. International Journal of Production Research, 49 (1) (2011).

      [10] H. Juahir, A. Ismail, S.B. Mohamed, M.E. Toriman, A.M. Kassim, S.M. Zin, W.K.W. Ahmad, K.F. Wong, A. Retnam, M.A. Zali, M.Z.M. Taib, M. Mokhtar, 2017. Improving Oil Classification Quality from Oil Spill Fingerprint beyond Six Sigma Approach. Marine Pollution Bulletin 120 (1-2) (2017) 322 – 332.

      [11] S. J. Harjac, A. Atrens & C.J. Moss (2008). Six Sigma reviews of root causes of corrosion incidents in hot potassium carbonate acid gas removal plant. Engineering Failure Analysis 15 (2008) 480-496.

      [12] M. Kashif, S. Z. Melatu Shamsi, Z. Awang and M. Mohamad, EXQ Measurement of healthcare experience quality in Malaysian settings: A contextualist perspective. International Journal of Pharmaceutical and Healthcare Marketing, 10 (1) (2016) 27-47.

      [13] J.D. Westphal, R. Gulati, S.M. Shortell, Customization or conformity? An institutional and network perspective on the content and consequences of TQM adoption. Adm. Sci. Q. 42 (2) (1997) 366–394.

      [14] EPA Methods for Chemical Analysis of Water and Wastes 1986. US EPA, Washington, DC, 1986.

      [15] EPA test methods for evaluating solid waste (SW-846). Update III, US EPA, Office of Solid Waste and Emergency Response, Washington, DC, 1997.

      [16] EPA Method, 1664, Revision A: n-Hexane extractable material and silica gel treated n-hexane extractable material by extraction and gravimetry. EPA-821-R-98-002, US EPA, Office of Water, Washington, DC, 1999. Etkin, D.S. (Ed.), 1998; N614.

      [17] Z. Wang, C. Yang, M. Fingas, B. Hollebone, X. Peng, A. Hansen, and J. Christensen, Characterization, Weathering, and Application of Sesquiterpanes to Source Identification of Spilled Lighter Petroleum Products, Environ. Sci. Technol. 39 (2005) 8700-8707.

      [18] P.S. Daling, L.G. Faksness, A.B. Hansen, S.A. Stout, Improved and standardized methodology for oil spill fingerprinting. In: Proceedings of the 25th Arctic and Marine Oil Spill Program (AMOP) Technical Seminar, Environment Canada, Ottawa, 2002; 429–454

      [19] F. Zhou, H. Guo, Y. Liu & Y. Jiang, Chemometrics data analysis of marine water quality and source identification in Southern Hong Kong. Marine Pollution Bulletin 54 (2007) 745-756.

      [20] P. R. Kannel, S. Lee, S. R. Kanel & S. P. Khan, Chemometric application in classification and assessment of monitoring locations of an urban river system. Analytical Chimica Acta 582 (2007) 390-399.

      [21] A. Blundell, J.A. Hannam, J.A. Dearing & J.F. Boyle, Detecting atmospheric pollution in surface soils using magnetic measurements: A reappraisal using an England and Wales database. Environmental Pollution 157(10) (2009) 2878–2890.

      [22] H. Juahir, S.M. Zain, M. K. Yusoff, T. I. T. Hanidza, A.S. M. Armi, M.E. Toriman & M. Mokhtar, (2011). Spatial water quality assessment of Langat River Basin (Malaysia) using environmetric techniques. Environment Monitoring Assessment 173 (2011) 625-641.

      [23] A. Retnam, M. P. Zakaria, H. Juahir, A.Z. Aris, M.A. Zali, & M.F. Kasim, Chemometric techniques in distribution, characterisation and source apportionment of polycyclic aromatic hydrocarbons (PAHS) in aquaculture sediments in Malaysia. Marine Pollution Bulletin 69 (1-2) (2013) 55–66.

      [24] P. Fermo, G. Beretta, R. M. Facino, F. Gelmini, & A. Piazzalunga Ionic profile of honey as a potential indicator of botanical origin and global environmental pollution. Environmental Pollution 178 (2013) 173–181.

      [25] A. Ismail, M.E. Toriman, H. Juahir, M.Z. Sharifudin, N.L. Abdul Habir, A. Retnam, M.K.A. Kamarudin, R. Omar and A. Azid, Spatial assessment and source identification of heavy metals pollut pollution in surface water using several chemometric techniques. Marine Pollution Bulletin 106 (1-2) (2016a) 292-300.

      [26] A. Ismail, M.E. Toriman, H. Juahir, M.A. Kassim, M.Z. Sharifudin, W.K.W. Ahmad, K.F. Wong, A. Retnam, M.A. Zali, M. Mokhtar and M.A. Yusri, Chemometric techniques in oil classification from oil spill fingerprinting. Marine Pollution Bulletin 111(1-2) (2016b) 339-346.

      [27] K.E. Peters, J.M. Moldowan, The Biomarker Guide. Interpreting Molecular Fossils in Petroleum and Ancient Sediments, Prentice Hall, Englewood Cliffs, N. J., 1993; 363.

      [28] I. Bouloubassi, A. Saliot, Sources and transport of hydrocarbons in the Rhone delta sediments (Northwestern Mediterranean). Fresenius Journal of Analytical Chemistry 339 (1991) 765 – 771

      [29] J.K. Volkman, D.G. Holdsworth, G.P. Neill, H.J.J. Bavor, Identification of natural, anthropogenic and petroleum hydrocarbons in aquatic sediments. Science of the Total Environment 112 (1992) 203-219.

      [30] S.A. Stout, A.D. Uhler, K.J. McCarthy, S. Emsbo-Mattingly, Chemical fingerprinting of hydrocarbons. In: Murphy, B.L., Morrison, R.D. (Eds.), Introduction to Environmental Forensics. Academic Press, London, 2002; 137–260. Chapter 6.

      [31] M. Kim, S. H. Hong, J. Wona, U. H. Yim, J.-H. Jung, S. Y. Ha, J. G. Ana, C. Joo, E. Kim, G. M. Han, S. Baek, H.W. Choi, W. J. Shim, Petroleum hydrocarbon contaminations in the intertidal seawater after the Hebei Spirit oil spill - Effect of tidal cycle on the TPH concentrations and the chromatographic characterization of seawater extracts. Water Research, 47 (2013) 758 -768.

      [32] Y. Li; Y. Xiong; W. Yang; Y. Xie; S. Li; Y. Sun. Compound-specific stable carbon isotopic composition of petroleum hydrocarbons as a tool for tracing the source of oil spills. Marine Pollution Bulletin 58(1) (2009) 114-117.

      [33] Ismail, A., Toriman, M. E., Juahir, H., Zain, S. M., Habir, N. L. A., Retnam, A., ... & Azid, A. (2016). Spatial assessment and source identification of heavy metals pollution in surface water using several chemometric techniques. Marine pollution bulletin, 106(1), 292-300.

      [34] Al-Odaini, N. A., Zakaria, M. P., Zali, M. A., Juahir, H., Yaziz, M. I., & Surif, S. (2012). Application of chemometrics in understanding the spatial distribution of human pharmaceuticals in surface water. Environmental monitoring and assessment, 184(11), 6735-6748.

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  • How to Cite

    Ismail, A., Bahri Mohamed, S., Juahir, H., Ekhwan Toriman, M., Md. Kassim, A., Md Zain, S., Kamaruzaman Wan Ahmad, W., Kok Fah, W., Retnam, A., Mokhtar, M., Abdul Zali, M., Zaki Mohd. Taib, M., & Yang, C. (2018). DMAIC Six Sigma Methodology in Petroleum Hydrocarbon Oil Classification. International Journal of Engineering & Technology, 7(3.14), 98-106. https://doi.org/10.14419/ijet.v7i3.14.16868

    Received date: 2018-08-05

    Accepted date: 2018-08-05

    Published date: 2018-07-25