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Pages:
6 pages/≈1650 words
Sources:
10 Sources
Level:
MLA
Subject:
Engineering
Type:
Research Paper
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
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Topic:

Identifying the Definition of Six Sigma (Research Paper Sample)

Instructions:

Deadline: November 5, 2020, 07:59 am
You get: 1800
Subject English Language
Project Type : Literature / Movie review
Format MLA
Title: -6 Sigma
# of pages 6 pages (825 words)
Type of service:
Sources: 10
Project ID: № 1769755
Status: In progress

Provide a literature review of 6 pages from 10 scholar journal concerning 6 sigma. Please let me know of the 10 journal articles you choose before you proceed to writing.

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Content:

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Chapter 2: Literature Review on Six Sigma
1 Definition of Six Sigma
The Six Sigma instrument is used for quality management in numerous organizations. It provides a close-to-perfection assessment of quality. By definition, Six Sigma is a results-guided disciplined methodology for quality assurance. It primarily focuses on eliminating errors from all phases of production (Alhuraish et al 326). It can be employed by industries that manufacture goods or offer services to clients. The objectives of the Six Sigma strategy are to attain and maintain the six standard deviations between the maximal average and closest demands. It can be assumed that six-sigma quantitatively represents how a method works in terms of statistical representation (Bumjaid et al. 135). According to this methodology, a system should not generate more than 3.4 flaws per million possibilities for Six Sigma to be achieved. Any happenings or measurements that fall outside the quality standard are termed as Six Sigma flaws (Sambhe and Dalu 1790). The possibility of error can be determined through the employment of six sigma calculators.
The Six Sigma methodology is founded on the fundamental goal of introducing a measurement guided strategy that insists on enhancing processes and minimizing variance. This objective is possibly attained by systematically employing the two sub methodologies of Six Sigma - DMAIC and DMADV (Deshmukh and Lakhe 187). The Six Sigma DMAIC, fully referred to as Define, Measure, Assess, Improve, and Control is a process method of improvement for existing processes. It is useful for procedures that are performing under average and needing improvement. On the other hand, Six Sigma DMADV, fully termed as Define, Measure, Analyze, Design, and Verify, is a process enhancement used at Six Sigma quality levels to create new processes or products. If a current method requires more than just gradual enhancement, it is also possible to use DMADV.
A robust and scalable framework to achieve, maintain, and optimize market performance is Six Sigma. A close knowledge of consumer requirements and expectations, disciplined utilization of data and information, the statistical judgment of data, cautious attention to leadership and management, development and renewal of business ideas are the unique pillars of Six Sigma (Improta 526). The types of organizational performance and success one can attain are broad since the Six Sigma system's proven advantages are varied. They include cost reduction, increase in efficiency, growth in market share, customer retention, reduction of cycle time, removal of defects, change in culture, and advancement of products or services.
2.2 The Concept of Six Sigma
It is possible to consider Six Sigma as a metric, a mentality, and a technique. It is a modern, evolving, quality management and control approach that focuses on continual quality and performance improvements. The central goal of the Six Sigma strategy is to achieve a degree of standard and reliability that will meet the demands and aspirations of today's demanding customers and even surpass them (Durga et al. 225). The Six sigma theory emerged at Motorola in the 1980s, and its concept has been widely applied in manufacturing factories. The well-structured and data-driven Six Sigma approach is commonly employed in manufacturing industries, service provision sectors, organizational management, and other business operations to eradicate faults, wastages and improve quality control issues (Antony et al. 995). It is a structured approach for the continuous quality assurance process and the constant operational excellence achievement process. Six Sigma is a method of enhancing organizations' efficiency, improving output, and raising overall productivity. The fundamental aim of the Six Sigma methodology, thus, is to minimize variance within a service output feature's tolerance or specification limits as it offers a way to quantify changes. The correct application of six Sigma is crucial as it also increases customer satisfaction.
The name of the methodology - Six Sigma – denotes the process's ability to produce results that fall within the set quality limits. The Greek letter "sigma," represented as σ, is commonly used as a popular notation for variation or deviation. The variance or degree of dispersal of values around the process mean is usually determined through the calculation standard deviation. According to the Six Sigma approach, the difference betwixt the average value of the operation and the closest acceptable measurement level for a stable operation must six times or less the value of the standard deviation (σ) recorded in the action (Durga et al. 227). Precisely, a procedure should never generate above 3.4 defects per every million possibilities if it is to achieve six sigma efficiency if the production is typically distributed. A product that fails to meet this quality standard is considered substandard and defective. Furthermore, in a product or service, a flaw may be a mistake. The word "opportunity" is described as an opportunity for non-compliance or failure to meet the requirements necessary.
1 Six Sigma in Manufacturing, Service, Automobile, and Small Scale Industries
1 Service Sector
Durga et al. (227) discussed numerous issues concerning the adoption of the six Sigma methodology among service industries. They noted that analyses of systems of measurement system analysis ( studies of reproducibility and repeatability) is specified clearly in the manufacturing industry. In contrast, however, the use of studies of reproducibility and repeatability often suffers the problem of data integrity and quality in the service industry. They also posited that, relative to processes in the manufacturing industry, service industry operations are subjected to noise as well as impossible-to-control variables. It is assumed that human behavioral attributes, such as friendliness, eagerness to support, and integrity, significantly impact service processes that decide the standard of service given to customers.
Maintaining and improving standards of service has become a significant activity that is ever ongoing in all organizations. They further discussed various concerns related to the implementation of six sigma in the service sector Durga et al. (227). Alongside those mentioned above, they realized that measurement system analyses for reproducibility and repeatability are stated explicitly in the manufacturing industry, while measurement analysis is a general problem that mainly depends on the quality of data and its integrity in the service industry. Finally, they noted that, relative to the manufacturing industry, the service-producing procedures are subjected to relatively more noise and some considerably uncontrollable variables.

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