IIUM Repository

Kerosene draw at Petronas Terengganu Refinery

Abd. Manaf, Noor Hazilah and Hamdan, Mohd Hisham and Fadhil, Shahril Goh (2011) Kerosene draw at Petronas Terengganu Refinery. IIUM Journal of Case Studies In Management, 2 (2). pp. 1-13. ISSN 2180-2327

[img]
Preview
PDF
Download (220kB) | Preview

Abstract

Six Sigma is a quality improvement methodology that is widely used by both service and manufacturing organisations. It was pioneered by Motorola but gained wide-reaching recognition through extensive adoption of the methodology by General Electric. Six Sigma focuses on the DMAIC principles of define, measure,analyse, improve, and control with team-based decision-making and problem-solving approach as the mainstay of its implementation. Kerosene draw at Petronas Terengganu Refinery was improved from 69.7 m3 /hr before implementation of Six Sigma to 73.03 m3 /hr after its successful implementation, which represented a breakthrough improvement from -1.47 to 12.32 sigma level. Headed by a Master Black Belt, the Six Sigma project team first began by mapping the process of kerosene draw in the define stage, followed by rigorous statistical analysis in analysing the critical to quality characteristics (CTQs)of the process, before arriving at an optimum process without compromising the quality of the kerosene. During the first six months of implementation, the project made a cost-savings of RM 5.5 million without any capital expenditure.

Item Type: Article (Journal)
Additional Information: 328/23652
Uncontrolled Keywords: quality improvement, Six-sigma, refinery
Subjects: H Social Sciences > H Social Sciences (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Economics and Management Sciences > Department of Finance
Depositing User: PROF DR NOORHAZILAH ABD.MANAF
Date Deposited: 08 Jul 2013 09:46
Last Modified: 01 Aug 2017 16:13
URI: http://irep.iium.edu.my/id/eprint/23652

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year