High business competition demands business players to improve quality. The Six Sigma
with DMAIC phases is a strategy that has proven effective in improving product and service quality. This study aims to find the consistency of DMAIC phases implementation and
analyze the objective value in Six Sigma research. By using a number of trusted article
sources during 2005 until 2019, this research finds that 72% research in manufacturing industry consistently implemented DMAIC roadmap especially in case study research type
for problem-solving, while service industry pointed out the fewer number (60%). The causes
of variations and defective products in the manufacturing industry are largely caused by
a 4M 1E factor, while in service industry are caused by human behavior, and it’s system
poorness. Both manufacturing & service industry emphasized standardization & monitoring to control the process which aimed at enhancing process capability and organization
performance to increase customer satisfaction.
This paper presents a new welding quality evaluation approach depending on the analysis
by the fuzzy logic and controlling the process capability of the friction stir welding of
pipes (FSWoP). This technique has been applied in an experimental work developed by
alternating the FSW of pipes process major parameters: rotation speed, pipe wall thickness
and travel speed. variable samples were friction stir welded of pipes using from 485 to 1800
rpm, 4–10 mm/min and 2–4 mm for the rotation speed, the travel speed, and the pipe wall
thickness respectively. DMAIC methodology (Defining, Measuring, Analyzing, Improving,
Control) has been used as an approach to analyze the FSW of pipes, it depends on the
attachment potency and technical commonplace demand of the FSW of pipes process.
The analysis controlled the Al 6061 friction stir welded joints’ tensile strength. To obtain
the best tensile strength, the study determined the optimum values for the parameters from
the corresponding range.
Higher education institutions (HEIs) typically generate income from two main sources; student
fees and research income. In contrast, the predominant waste streams in HEIs tend
to include; (1) assignment/examination mark submission process, (2) photocopying process
and (3) the funding application process. Unintended internal process complexities and barriers
typically aggravate the challenges already inherent in the research grant application
process. Although Lean Six Sigma (LSS) has been adopted by a number of HEIs in Ireland,
very few have adopted an integrated LSS approach for waste reduction in the research grant
application process. To identify barriers and waste in the research grant application process
within an Irish HEI in an EU environment, the authors used an online survey deployed to
240 academics and researchers. The survey response rate was 13%. The participating HEI
in this pilot study generated an annual income (including student fees and research income)
exceeding e240 million for the academic year 2017/2018. Using an LSS lens, this paper identified
the primary waste in the research grant application process from an academic and
researcher perspective to be; editing and revising applications, liaising and communicating
with collaborators and waiting for information. Organised thematically, the main barriers
were strategic thinking, collaborator identification and co-ordination, eligibility, process,
time and support & mentoring. The results from this study can be used to inform the next
stage of the research where empirical studies will be carried out in other HEIs to develop a
practical roadmap for the implementation of LSS as an operational excellence improvement
methodology in the research grant application process.