POKA-YOKE One of the common quality concepts in statistics that can be used in continuous improvement is Poka- Yoke‚ which means “mistake proofing.” Poka-Yoke‚ pronounced (POH-kah YOH-kay) and developed by Japanese industrial engineer Shigeo Shingo in the early 1960s‚ uses devices‚ methods‚ or inspections in order to avoid machine error or simple human error. There are two main types of poka-yokes: • prevention-based poka-yokes and • Detection-based poka-yokes. Prevention-based poka-yokes
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process that helps an equipment operator avoid (yokeru) mistakes (poka). Its purpose is to eliminate product defects by preventing‚ correcting‚ or drawing attention to human errors as they occur. The concept was formalised‚ and the term adopted‚ by Shigeo Shingo as part of the Toyota
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Lean 101 |PokaYoke | |(Error-proofing/Fool-proofing) | | | |POKAYOKE: Japanese for ’mistake-proofing’. Mistake-proofing
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Bernhisel‚ M.P.‚ & Hoopes Larson‚ C.L. (2008). An empirical examination of service recovery design Shingo‚ S. (1986). Zero Quality Control: Source Inspection and the Poka-Yoke System. Portland‚ OR: Productivity Press. Shingo‚ S. (1987). The Sayings of Shigeo Shingo: Key Strategies for Plant Improvement. Portland‚ OR: Productivity Press. Singh‚ J. (1990). Voice‚ exit‚ and negative word-of-mouth behaviors: an investigation across three service categories Smith‚ A.K.‚ Bolton‚ R.N.‚ & Wagner‚ J. (1999)
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Edward Deming Quality is “uniformity and dependability” Focus on SPC and statistical tools “14 Points” for management PDCA method‚ plan‚ do‚ check‚ act Joseph Juran Quality is “fitness for use” Pareto Principle Cost of Quality General management approach as well as statistics Kaizen: Japanese term for continuous improvement. A step-by-step improvement of business processes. DMAIC‚ define‚ measure‚ analysis‚ improve‚ control Shingo’s argument: SQC methods do not prevent defects Defects
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My book is ’’The Hunt’’ by Andrew Fukuda. One of the emojis above that I would use to relate to my book is the nervous sweating wide eyed emoji. In my book‚ the main character is considered an outsider compared to everyone‚ so he does everything that he can do to fit in. He gets nervous a lot in fear of being caught by the others. One quote from the book that supports my explanation would be ’’What’s the matter with you... you look sick.’’ Another quote from the book that supports my explanation
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There were several advantages of Toyota’s manufacturing system when compared with conventional manufacturing system. Ohno Taiichi was the person responsible in helping Toyota shift from the established method of manufacturing automobiles set by Ford. The basic philosophy was to produce everything in mass quantity to gain maximum economies of scale. The logic was to spread the fixed cost over the production line and benefit from lower cost. Another characteristic of this philosophy was to make each
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Swiss Style / International Typographic Style (1950s) Also known as International Style‚ the Swiss Style does not simply describe a style of graphic design made in Switzerland. It became famous through the art of very talented Swiss graphic designers‚ but it emerged in Russia‚ Germany and Netherlands in the 1920’s. This style in art‚ architecture and culture became an ‘international’ style after 1950’s and it was produced by artists all around the globe. Despite that‚ people still refer to it
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southwest Washington State for a five-day stay. Ever since the giant expanse of the Pacific Ocean captivated her some years earlier‚ she and husband Shigeo had spent two weeks here each July. What drew her to the area this time‚ though‚ was an unquenchable desire to see the deserted autumn shoreline‚ which must be very different from its look in summer. Shigeo had said there was no way he could take off from work‚ so she decided to leave him at home and take her first solo trip‚ a prospect she found both
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Data Depth and Optimization Komei Fukuda fukuda@ifor.math.ethz.ch Vera Rosta rosta@renyi.hu In this short article‚ we consider the notion of data depth which generalizes the median to higher dimensions. Our main objective is to present a snapshot of the data depth‚ several closely related notions‚ associated optimization problems and algorithms. In particular‚ we briefly touch on our recent approaches to compute the data depth using linear and integer optimization programming. Although
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