Integrated Framework for Enhancing Software Development Methodologies With Comparative Analysis

Author(s):  
Vinod Vijayakumaran ◽  
G. Radhamani ◽  
P. Ranjit Jeba Thangaiah

The delivery process of any IT organization depends on the effective software development methodologies. Along with conventional software development methodologies, corporates are also found to adopt various quality standards in order to enhance their development methodologies. Although there were substantial researches work carried out in past, majority of the study discusses about the theoretical implementation of quality standards. Due to various intermittent impediments, e.g., requirement volatility, skill gap, schedule slippage, etc., the standard quality models are very often violated in real time environment leading to degradation in development methodologies. Hence, this manuscript discusses an integrated framework using Scrum, Lean Six Sigma, and Agile which has been formulated on the basis on existing flaws in software development methodologies and propose some of the potential features to enhance it.

2019 ◽  
Vol 4 (12) ◽  
pp. 71-77
Author(s):  
Ovundah King Wofuru-Nyenke ◽  
Barinyima Nkoi ◽  
Felix Ezekiel Oparadike

In this paper, Lean Six Sigma tools and techniques were utilized to determine the root causes of waste in a water bottling process and proffer solutions to remove these sources of waste in order to produce only standard quality items with minimal to zero waste generated, and also to attain a reduction in production cost. The Value Stream Map (VSM) tool was used to highlight the sources of waste in the current state of operations at the plant, as well as to proffer an improved future state of the production processes at the plant. Also, the Define-Measure-Analyze-Improve-Control (DMAIC) framework of Lean Six Sigma methodology was employed to statistically analyze the root causes of waste in the plant. The analysis showed that the major sources of waste which constitute approximately 80 per cent of waste in the plant are water volume variation, alignment error in the shrink wrapping machine and manual inspection. After implementation of the proposed solutions, manufacturing lead time and cycle time are expected to reduce by approximately 42.1 per cent and 22.2 per cent respectively, with a reduction of 2 quality inspectors in the bottling process, leading to a drop in labour cost.


2019 ◽  
Vol 6 ◽  
pp. 66-85
Author(s):  
Zuraida Zaini ◽  
Aslina Saad

Currently, most companies or organizations can select a number of methodologies to improve their business processes, which include Six Sigma, Lean Thinking, Lean Six Sigma, Business Process Reengineering, Total Quality Management, Kaizen and Poka-Yoka. However, selecting an appropriate methodology has to be guided by the organization’s objectives. In this respect, the BPR is one of the best methodologies that can help organizations to ensure the continuity of their businesses so they will remain relevant for a long time. More importantly, the BPR can help members of organizations to rethink about their existing practices such as to introduce significant improvements to their business process. Based on a literature review, the researchers carried out a comparative analysis on four leading methodologies, namely BPR, Six Sigma, Lean Thinking, and Kaizen. The comparison of the methodologies were based on 11 aspects, namely the concept, effect, use of information technology, focus, involvement of workers, degree of change, level of risk, creation of a study, model, duration, and cost. In addition, the researchers elaborated the six phases of the implementation of BPR. The comparative analysis revealed that the BPR was the best among the four methodologies analysed, as it could help radically and holistically improve the overall business process of an organization. Thus, organizations that need such a change in their business processes can adopt the BPR as the most appropriate methodology than can help bring the intended improvements to their workplace.


2013 ◽  
Vol 380-384 ◽  
pp. 943-946
Author(s):  
Wei Min Ye ◽  
Wo Ye Liu ◽  
Xiao Chen ◽  
Fei Han ◽  
Jian Feng Zhu ◽  
...  

MSA takes a very important role in project application of Lean Six Sigma (LSS). In this paper, the concepts and content of MSA in LSS are introduced, and the R & R model of the MSA is discussed. The average and range analysis method and variance analysis method are elaborated, and a comparative analysis of the commonplace methods in MSA is addressed. Finally, an example is given to illustrate the application of MSA methods in data analysis of LSS improvement project. The results show the impact of different methods on the evaluation conclusions of MSA.


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