Six Sigma

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    Introduction to Six Sigma Six Sigma is a quality program stressing the need for quantitative quality standards that focuses on improving the product for the customer, and that this in turn, will improve quality and reduce costs. Introduced by engineer Bill Smith at Motorola in 1986, Six Sigma is now widely used throughout the manufacturing industry. In statistics, sigma is the notation for the standard deviation, which is related to variation. The ultimate goal of Six Sigma is to reduce variation

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    Six Sigma is a business technique that helps to continually identify and reduce the process variations or failures to achieve desirable results (Vora & Ravanan, 2014, p. 1). The organizations will be able to minimize the gap of customer expectation and product attributes. There methods being used in Six Sigma are “DMAIC” (Design, Measure, Analyze, Improve, and Control) and “DMADV” (Design, Measure, Analyze, Design, Verify). Besides, Design for Six Sigma (DFSS) is also a methodology used in Six Sigma

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    project team were able to define a couple key goals that, with improvement, can impact some of the company’s critical measures, the project’s overall link to strategic imperatives is high. Application of Six Sigma Tools The project executed by the firm demonstrates a high application of Six Sigma tools. Before the start of the actual project, senior management used benchmarking to establish the company’s position amongst industry competitors. After establishing that the firm is either below or well

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    Case Study This case study deals with improving the high number of incident tickets regarding its digital release planning system, mostly as a result of delays in a release. The problem was resolved using a Six Sigma DMAIC problem solving methodology. The basic equation of Six Sigma, Y = f(x), defines the relationship between a dependent variable ‘Y’ or the outcome of a process and a set of independent variables ‘x’ or possible causes which affect the outcome. In this case study, ‘Y’ is the

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    of Lean Six Sigma in IT Industry Ashutosh Gavali, Kirti Upreti Abstract "If you do just Six Sigma, you 're not going to maximize the potential of your organization. You have to do both," - Mike Carnell, President of Six Sigma Applications As Lean matured and Six Sigma started to receive acceptance across organizations other than Motorola and Toyota, they both became successful and competing methodologies for business improvement. Today, several companies rest upon either Lean or Six Sigma in order

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    cost-effective patient care, apart from technology. Lean and Six Sigma is the approach which are proven to be effective involves the implementation of technical strategies. Lean and Six Sigma strategies would use DMAIC methodology which can eliminate non-value added steps that cause delays, pinpoint root causes for defects and variability and remove inefficiency and redundancies that can undermine any organization’s best efforts. Implementing the Six Sigma Methodology and DMAIC Phases If a hospital or diagnostic

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    like to compete in the marketplace, but they did not address inefficiencies at their source. In order to optimize quality, they should have optimized their service throughput and the bottom line. Application of Six Sigma Tools The project demonstrates a medium-strength application of Six Sigma tools. The project started with the organization surveying the internal organization to gather VOC information. The Likert scale was applied to identify the levels for the survey. The COPIS chart was used to

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    Sokovic et al. (2005) applied basic approach Six-Sigma methodology which includes Process feasibility study, Process planning, Process preparation, Trial production run and Process quantification. Using this basic approach a new process design was developed for compressor-housing machining process. During the process panning phase the Failure mode and effect analysis (FMEA) method is widely used. Due to large number of Key process input variables (KPIV) it becomes difficult to use FMEA method. To

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    Implementation of Six Sigma in an Auto Ancillary Unit AUTHORS: Dr. Sharad Chaturvedi PhD, MBA, B Tech Associate Professor – Operations Fortune Institute of International Business Vasant Vihar, New Delhi, India Mobile No.: +919818656007 E-Mail: drsharadphd@gmai.com, sharad2311@gmail.com ____________________________________________________________ The paper attempt to study the critical success factors of Six Sigma in a auto ancillary unit to gain insight into the gaps between Six Sigma theory and

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    Topic: Six Sigma 1.0 Introduction What is Supply Chain Management (SCM)? Supply Chain Management is the synchronization of a firm’s processes with those of its suppliers and customers to match the flow of materials, services, and information with customer demand. To provide the highest degree of customer satisfaction at the lowest possible cost is the flow in supply chain in management of material and information. The commitment of supply chain partners is important and requires to work together

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