Sigma This Chapter Presents Research dissertation

Download this dissertation in word format (.doc)

Note: Sample below may appear distorted but all corresponding word document files contain proper formatting

Excerpt from dissertation:

Unlike primary data that are time-consuming, the secondary data is less time consuming, and a research could collect secondary data to answer the research questions as well as achieving research objectives. Boslaug (2007) argues that the economy is the major advantage of secondary data. Since data have already been collected by another researcher, a researcher does not need to devote his/her resources to collect the data. More importantly, the saving of time is another major advantage of secondary data. Since the data has already been collected and analyzed, the research only needs to collect the data for his or her research study. Boslaug (2007) further points out that secondary data are characterized with the informed expertise, which may not be available with primary data.

Despite the advantages that this research derives from secondary data, there are still disadvantages associated with secondary data. The secondary data may not be suitable to answer the research questions. Typically, the secondary data collected may not be applicable to a specific research topic.

The study collects both primary and secondary data investigate the strategy to improve the existing product using the DMAIC (Define, Measure, Analysis, Improve and Control) as an effective improvement process. Moreover, the data are collected is to investigate the effectiveness of IDOV (Identify, Design, Optimize and Validate) or DFFS methodology as an effective process. It is essential to realize DFFS is an analytical tool that could be used to prevent predictive product defect when deciding to design a product. Typically, a significant decline in costs could enhance higher level of performances. Thus, the data are collected to establish that DMAIV sequence could enhance high level of product design performances.

ANOVA (Analysis of Variance) and Pareto Analysis

ANOVA is a statistical test to identify whether the means of several groups are equal. ANOVA has benefits of comparing two, three or more means, and ANOVA is very useful for the confirmatory data analysis. This study uses the ANOVA as a statistical tool to compare the means of the following:

Red color, auto feeding

Red color, manual feeding

Blue color, auto feeding

Blue color, manual feeding

The study uses the one-way ANOVA to calculate the value of StDev using power and sample feature. The ANOVA test includes blue input and red input. The test higher than 0.05 is assumed to have high significant level. The ANOVA analysis is also used to test the mean of manual feed and auto feed, and the results are compared with the mean of blue input group and red input group. In this study, one-way ANOVA is used to confirm the equal variance.

Pareto Analysis

Pareto analysis is a statistical technique to enhance decision-making, and is used in selecting limited number of task to produce overall significant effect. Pareto analysis is a creative technique in identifying the cause of problems, and this technique assists in identifying 20% cause of the problem, which could assist in solving 80% of the problems. Typically, Pareto analysis assists in focusing 20% of the problem that could have impact on the project. With reference to this study, the Pareto analysis is used to identify the scraps that have the major impact on costs and quantity. The analysis and separation was carried out from the information collected from scrap. Thus, the material in the top ten ranks was placed in the Pareto diagram. The Pareto analyses aims to classify data into group, which range from smallest to largest. Typically, Pareto analysis is a process improvement tool that facilitates data presentation and organization as well as revealing the root cause of the problem. Pareto analysis is also the tool to understand the problem and identify the opportunities that have highest values. Typically, Pareto analysis is useful in assisting the Six Sigma team. This study uses the Pareto analysis to assist the study:

To understand the relative importance of the problems and method to provide the simple and quick and visual solution to the problem.

To measure progress using an easy to understand and visible format.

Reduce the probability of the problem that may lead to vital the consequence.


This chapter provides the research methodology that discusses both quantitative and qualitative research. The study combines both research method and combining the advantages associated with the two-research technique to generate valid and reliable research findings. Moreover, the study collects primary and secondary data to prepare this study. The study uses the ANOVA to compare the means of the following:

Red color, auto feeding

Red color, manual feeding

Blue color, auto feeding

Blue color, manual feeding

Pareto analysis also assists in focusing 20% of the problem, which could have impact on the project. For example, Pareto analysis identifies the scraps that could have the major impact on the costs and quantity. Combination of these research techniques assists the study to generate valid and reliable research findings.

List of References

Borlaug, S. (2007). Secondary Data Sources for Public Health: A Practical Guide.

Cambridge University Press.UK.

Hox, J.J. & Boeije, H.R. (2010). Data Collection Primary vs. Secondary. Utrecht University. The Nethertland.

Morrell, K. (2010). Quantitative Data Basic Introduction. USA.

Texas State Auditor's…[continue]

Cite This Dissertation:

"Sigma This Chapter Presents Research" (2012, July 24) Retrieved October 27, 2016, from

"Sigma This Chapter Presents Research" 24 July 2012. Web.27 October. 2016. <>

"Sigma This Chapter Presents Research", 24 July 2012, Accessed.27 October. 2016,

Other Documents Pertaining To This Topic

  • Global Market Research Roles and

    The third position means stepping outside the situation and seeing issues from the point-of-view of a third party. NLP reminds us that people receive information in various sensory channels: the visual, the auditory, the kinaesthetic (perception of movement of effort) and the digital mathematical or reasoned thinking (Taylor, 2000). The idea being that people use all of these modes, but may have a preferred mode. Ethnographic approach: this takes its

  • Six Sigma Quality Management

    rules for evaluating an investigator's research endeavor are closely guarded by a code of research ethics to which the writing and investigation must adhere; namely objectivity, subject knowledge, and professionalism. The article authored by Henderson and Evans and the subject of review is the six-sigma statistical process employed to evaluate manufacturing quality improvement. The article was carefully scrutinized with respect to adhering to proper research formatting. A definitive evaluation was

  • Improving Emergency Department Flow by Using a Provider in Triage

    Emergency Room Efficiency Improving Emergency Department Flow by Using a Provider in Triage Emergency room triage plays an essential role in the speed and quality of the emergency room departments. Triage represents only one small part of the process that determines quality of patient care. Emergency rooms can be crowded. Busy times are often unpredictable, making it difficult to avoid bottlenecks in the system. This has an affect on the amount of

  • E Manufacturing A New Link

    Ayers (2000, p. 4) describes a supply chain as "Life cycle processes supporting physical, information, financial, and knowledge flows for moving products and services from suppliers to end-users." A supply chain can be short, as in the case of a cottage industry, or quite long and complex as in the manufacture, distribution, and sales of automobiles. In fact, the automobile supply chain has its origin in the mining of the

  • ERP Systems Challenges of Enterprise

    Role-based ERP systems are critical for the siloed, highly inefficient architectures of legacy ERP systems to be made more relevant, contribute greater financial performance, and lead to higher levels of overall customer satisfaction. c. Purpose of the study The purpose the study is evaluate how enterprises who adopt role-based ERP system implementations are able to attain higher levels of financial and operations-based performance vs. those that rely on silo-based, more functionally

  • Employers Like About Interdisciplinary Studies

    This characteristic is the ability to not only empathize with others, but also take action on the lessons learned and completely redefine one's views of a problem or situation. An example of this is a recent project completed with an Indian subsidiary of the company I work for. The Indian subsidiary is heavily rewarded for beating deadlines and using the Six Sigma quality management model. Inherent in my role

  • Theoretical Information With Relevance to

    Still, this trait is mostly applicable within the growing services industry, whereas the industry and manufacturing fields still rely tenability on their machines and equipments to lead to the attainment of the pre-established objectives. In such a setting then, the problems with the plant's machineries and equipments constitute a pivotal factor in the generation of delivery delays. The more stringent situation in this sense is represented in the case of

Read Full Dissertation
Copyright 2016 . All Rights Reserved