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Six sigma (Quality control standard)
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Courseware
Students of this course will develop a broad understanding of Lean/Six Sigma principles and practices, build capability to implement Lean/Six Sigma initiatives in manufacturing operations, and learn to operate with awareness of Lean/Six Sigma at the enterprise level. All course materials are organized around a common "single-point lesson" (SPL) format, with some of the SPLs provided by the instructor and guests and with some developed and delivered by student teams.
- Subjects:
- Computing, Data Science and Artificial Intelligence and Management
- Keywords:
- Quality control Six sigma (Quality control stard)
- Resource Type:
- Courseware
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Courseware
This course covers the fundamental principles, practices and tools of Lean Six Sigma methods that underlay modern organizational productivity approaches applied in aerospace, automotive, health care, and other sectors. It includes lectures, active learning exercises, a plant tour, talks by industry practitioners, and videos. One third of the course is devoted to a physical simulation of an aircraft manufacturing enterprise or a clinic to illustrate the power of Lean Six Sigma methods. The course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.
- Subjects:
- Management
- Keywords:
- Industrial efficiency Lean manufacturing Six sigma (Quality control stard)
- Resource Type:
- Courseware
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Open (Access) Journal-Article
Short discharge time from hospitals increases both bed availability and patients and families satisfaction. In this study, the Six Sigma process improvement methodology was applied to reduce patients discharge time in a cancer treatment hospital. Data on the duration of all activities, from the physician signing the discharge form to the patient leaving the treatment room, were collected through patient shadowing. These data were analyzed using detailed process maps and cause-and-effect diagrams. Fragmented and unstandardized processes and procedures and a lack of communication among the stakeholders were among the leading causes of long discharge times. Categorizing patients by their needs enabled better design of the discharge processes. Discrete event simulation was utilized as a decision support tool to test the effect of the improvements under different scenarios. Simplified and standardized processes, improved communications, and system-wide management are among the proposed improvements, which reduced patient discharge time by 54 from 216 minutes. Cultivating the necessary ownership through stakeholder analysis is an essential ingredient of sustainable improvement efforts.
- Subjects:
- Health Sciences and Management
- Keywords:
- Hospitals -- Administration Process control Six sigma (Quality control stard)
- Resource Type:
- Open (Access) Journal-Article
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Open (Access) Journal-Article
This work walks around the use of DMAIC methodology of six sigma to lessen the defect rate in sewing section of FCI (BD) LTD. Throughout five phases of DMAIC methodology, named Define, Measure, Analyze, Improve and Control, this approach minimizes defects analytically. In different phases, different types of six sigma tools were exercised.
- Subjects:
- Management and Business Information Technology
- Keywords:
- Clothing trade Production management Six sigma (Quality control stard)
- Resource Type:
- Open (Access) Journal-Article
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MOOC
An introduction to the Six Sigma methodology and DMAIC cycle for process improvement with a focus on the Define and Measure phases.
- Subjects:
- Management
- Keywords:
- Six sigma (Quality control stard)
- Resource Type:
- MOOC
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