Control Phase

K. Muralidharan ()
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K. Muralidharan: M. S. University of Baroda, Department of Statistics, Faculty of Science

Chapter Chapter 11 in Six Sigma for Organizational Excellence, 2015, pp 425-500 from Springer

Abstract: Abstract The statistical process-control techniques are generally employed with considerable effectiveness for monitoring quality and surveillance of the process. Hence, examining various dimensions of a process is important. The dimensions of quality perceived in any process are performance, reliability, durability, serviceability, aesthetics, features, perceived quality, and conformance to standards. The statistical process control (SPC) then works on these dimensions either individually or combined. The process control can be very well monitored using control chart techniques. The control chart technique is explained in detail for both variable and attributes characteristics in this chapter. The chapter also includes the continuous monitoring of process using moving range chart and cumulative sum control charts. Apart from this, a detailed discussion on nonparametric control chart and its application in industrial applications that do not adhere to any parametric assumptions are also studied in detail. The importance of mistake proofing, standardization, and process dashboards are also given with a focus on standard operating procedures and work instructions.

Keywords: Variables; Attributes; Chance variation; White noise; Standardization; Process dashboards; Poke-Yoke (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-81-322-2325-2_11

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DOI: 10.1007/978-81-322-2325-2_11

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