Process measurement systems analysis

The term process measurement systems analysis comes directly from the AIAG reference manual on SPC. Previous references to analysis of measurement systems in relationship to actual process versus total variation were expressed in terms of the relation... 

Failure modes analysis Statistical process control Measurement systems analysis Employee motivation On-the-job training Efficiency will increase through common application of requirements for Continuous improvement in cost Continuous improvement in productivity Employee motivation On-the-job training... 

Preventive maintenance (clause 4.9.1.5) Measurement systems analysis (clause 4.11.1.2) Process audit (clause 4.17.2.3)... 

Process instructions including set-up and set-up verification Handling requirements Operator competency requirements Measurement systems analysis plan... 

Process capability study report Measurement systems analysis report... 

SixSigma [On-line], Measurement System Capability Manual, Available http //www.6sigma.us/ MeasurementsystemsMSA/measurement-systems-analysis-MSA-p.html, accessed 1 April 2009 I. Verhappen, Typical process analyzer application justification, in Analytical Instrumentation-, Practical Guides for Measurement and Control, R.E. Sherman and L. Rhodes (eds). Instrument Society of America, Research Triangle Park, 1996. 

The intent in this chapter is not to present in great detail the mathematics behind the statistical methods discussed. An excellent reference manual assembled by the Automotive Industry Action Group (AIAG), Fundamental Statistical Process Control, details process control systems, variation, action on special or common causes, process control and capability, process improvement, control charting, and benefits derived from using each of these tools. Reprinted with permission from the Fundamental Statistacal Process Control Reference Manual (Chrysler, Ford, General Motors Supplier uality Requirements Task Force , Measurement Systems Analysis, MSA Second Edition, 1995, ASQC Press. 

After processes are documented, they have to become as fast, efficient, and flawless as possible. This means you optimize the processes that generate all the value for your new solution. Several techniques will help you do this, but you should start with Measurement Systems Analysis, because it ensures the validity of any data you use in optimization studies (see the Design of Experiments, and Conjoint Analysis techniques). Then use Work Cell Design and Mistake Proofing to optimize the layout of people, machines, materials, and other factors in an office or factory. 

Measurement Systems Analysis starts with translating customer and process requirements into metrics (measurable outcomes). These metrics can be based on subjective qualitative data (taste, appearance, etc.), or objective quantitative data (e.g., seconds, number of defects). The type of data determines the type of MSA ... 

It takes many hours, even days, to complete a thorough Control Plan. This time can be minimized if you have already applied several techniques including Process MapA/alue Stream Map (Technique 45), Design FMEA (Technique 40), and Measurement Systems Analysis (Technique 47). 

A Measurement Systems Analysis (Technique 47) will make sure your measurement system is accurate and doesn t introduce variation into the process. 

B.G. Liptak, Instrument Engineers Handbook, Process Measurement and Analysis Chapter 1.10 Redundant and Voting System, vol. 1. 

Solderability testing by dip and look methods do not meet this minimum requirement. The science of GR R has since evolved into Measurement System Analysis (MSA), where GR R is only one part of a system that evaluates the total measurement capability. MSA is an experimental and mathematical method of determining how much the variation within the measurement process contributes to overall process variability. It takes into account... 

The detailed analysis, involving many respondents inside and outside the company, led to changes in the overall innovation process, ie, a company-wide priority system for innovation projects, measures of innovation for each functional and business area, training and supportive management systems for project managers, informal multifunctional teams in concept development and market development, a stmctured needs identification process, and appointment of a process steward to monitor the innovation process, measure how it functions, and coordinate innovation projects. 

Quality control is intended to monitor and evaluate the performances of both food and human processes that contribute to food quality. The basic principle of this function is the control circle that involves (1) the taking of a process sample by the analysis or measuring unit, (2) determining whether process results meet set tolerances or limits, (3) judging the character and level of any discrepancy, and (4) application of corrective action to adjust the system to an acceptable level (Figure 7.1.1). A distinction is made between measuring and analysis, whereby the first involves direct measurements (e.g., pH, temperature) and the second involves taking samples, sample preparation, and actual analysis. ... 

Apparatus. Since all the polymer modification reactions presented in this paper involved gas consumption, an automated gas consumption measuring system was designed, fabricated and used to keep constant pressure and record continuously the consumption of gas in a batch type laboratory scale reactor. Process control, data acquisition, and analysis was carried out using a personal computer (IBM) and an interface device (Lab-master, Tecmar Inc.). 

Recent developments in the determination of elements in this group have been very much linked to the use of atomic fluorescence detection systems rather than AAS (see section 8.7). ICP-AES and ICP-MS can also be used but they are generally inferior in sensitivity. Best sensitivity is obtained from AFS detection. It should also be noted that the analysis may also be required to detect and measure organic compounds of these elements because of the toxicity in the organic form. Separation by one of the methods reviewed in Chapter 4 may thus be used in sample processing prior to analysis. 

Short-term non-invasive biomarkers for processes producing long-term lung damage-evaluation of the feasibility of candidate measurement systems. Toxicokinetic models have been developed to determine whether breath analysis of pentane and ethane can be used to estimate chronic lung damage from toxicants. 

Automatization of all stages of the analytical process is a trend that can be discerned in the development of modern analytical methods for chemical manufacture, to various extents depending on reliability and cost-benefit considerations. Among the elements of reliability one counts conformity of the accuracy and precision of the method to the specifications of the manufacturing process, stability of the analytical system and closeness to real-time analysis. The latter is a requirement for feedback into automatic process-control systems. Since the investment in equipment for automatic online analysis may be high, this is frequently replaced by monitoring a property that is easy and inexpensive to measure and correlating that property with the analyte of interest. Such compromise is usually accompanied by a collection of samples that are sent to the analytical laboratory for determination, possibly at a lower cost. 

FIGURE i 6 Diagram indicating that the total variance in the analysis results equals the sum of the method variance and the process variance. A capable measurement system has a method variance that is less than 30% of the design width (difference between upper specification level and lower specification level). The production process is considered to be under full control when the average assay value is centered at Six Sigma values away from the lower and upper specification levels. 

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