Quality control future trends

Section 9.2 will review traditional statistical process control/statistical quality control (SPC/SQC) techniques used in quality control. Section 9.3 will follow this review with a discussion of techniques based primarily on an experiential rule base and expert system technology. Section 9.4 will discuss control strategies that use an on-line process model a variety of models can be used in such model predictive control. Section 9.5 will discuss this variety of models. Section 9.6 will summarize this chapter and discusses future trends in the field. 

Further quality control of the tablets during tableting or shortly after has become more important. Recent trends show improvements for production in a GMP environment by isolating the production unit from the machinery. For the near future the implementation of the PAT initiative of the FDA is conceivable. 

Performance test results should be plotted on charts for trend analysis. Statistical quality control charting methods are used to detect statistically significant changes in instrument performance. Action limits can be set for test charts based on historical data so that appropriate repairs can be made when necessary. Examples of unacceptable instrument performance may be valuable in setting action limits for future performance tests. 

Quality assurance and quality control are evolving in apparel industry with technological advances, similar to most other industries in the world. Fabric inspection is now an automated process, and can find defects in fabrics quicker, more accurately, and save money in the long run. Current and future trends in quality... 

Lim SAH, Antony J, Albliwi S (2014) Statistical process control (SPC) in the food industry—a systematic review and future research agenda. Trends Food Sci Technol 37 37-151 Montgomtay DC (2009) Statistical quality control a modem introduction, 6th edn. Wiley, New York... 

FIA and, in particular, computer-controlled derived techniques still have an important contribution to make to quality control aspects in food analysis. Future trends will accompany the changes observed in analytical laboratories, where mass spectrometry-based detectors are replacing molecular spectrophotometry (e.g., diode array detectors [DAD]). Hence, it is expected the hyphenation of flow injection techniques to mass spectrometry, particularly for sample treatment (extraction, sample matrix removal) using FIA. Other less exploited feature, designated as reversed FIA (Mansour and Danielson, 2012), may also have an important role in future years. In this case, sample is applied as carrier, which allows an enhancement of detection limits. The only constraints are possible sample scarcity or high cost and multiplication of artifacts due to interferences. The future application of FIA is left to the imagination and ingenuity of future food analysts. 

In conjunction with the future development of better quantitive chemical markers, the most significant imminent trend in food quality control is the development and application of new sensor technologies and other instrumental methods for the in-line, on-line, and off-line quantitative determination of these chemical markers. This trend is well-illustrated in many chapters in this book (e.g.. Chapters 4-7, 9, 12, 15, 16, 18, 19, 21-23). Furthermore, accurate kinetic models are needed to be able to predict remaining shelf-life as well as to optimize product quaUty that depends on the intricate interplay of various chemical reactions under various processing conditions. 

Of the many factors which influence product yields in a fluid catalytic cracker, the feed stock quality and the catalyst composition are of particular interest as they can be controlled only to a limited extent by the refiner. In the past decade there has been a trend towards using heavier feedstocks in the FCC-unit. This trend is expected to continue in the foreseeable future. It is therefore important to study how molecular types, characteristic not only of heavy petroleum oil but also of e.g. coal liquid, shale oil and biomass oil, respond to cracking over catalysts of different compositions. 

The Shotscope system also maintains and displays statistical process control (SPC) data in a variety of formats, including trend charts, X-bar and R charts, histograms, and scatter diagrams. This information provides molders with the knowledge that their processes are in control, and, should they go out of control, Shotscope can alert to an out-of-control condition and divert suspect-quality parts. Furthermore, because the Shotscope system can measure and archive up to 50 process parameters (such as pressures, temperatures, times, etc.) for every shot monitored and the information archived, the processing fingerprint for any part can be stored and retrieved at any time in the future. This functionality is extremely important to any manufacturer concerned with the potential failure of a molded part in its end-use application (for example, medical devices). 

Valous, N. A. Mendoza, F. Sun, D.W. (2010). Emerging non-contact imaging, spectroscopic and colorimetric technologies for quality evaluation and control of hams a review. Trends in Food Science Technology Vol.21, pp. 26-43 Williams, P. C. Sobering, D. (1996). Haw do we do it A brief summary of the methods we use in developing near infrared calibrations. In A. M. C. Davies P. C. Williams (Eds.), Near infrared spectroscopy the future waves (pp. 185-188). Chichester NIR Publications Wilson, A. D. Baietto, M. (2009). Applications and advances in electronic-nose technologies. Sensors Vol.9, pp. 5099-5148... 

Already today valve-regulated lead-acid batteries are in widespread use in many applications, and this trend will increase in the future since the reduction of maintenance is a signihcant advantage. This battery system requires high quality of all parameters that influence the performance and other characteristics. Valve-regulated lead-acid batteries that are installed in cabinets require sufficient air circulation to achieve equal temperature for all cells or monoblocs. Monitoring or control systems may be used. 

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