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International Journal of Quality Engineering and Technology

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ISSN (Print) 1757-2177 - ISSN (Online) 1757-2185
Published by Inderscience Publishers

[367 journals]

Higher-order response surface methods for nanomanufacturing process optimisation
- Authors: Ali Salmasnia, Asghar Moeini, Hadi Mokhtari, Cyrus Mohebbi
  Pages: 181 - 203
  Abstract: Within the last 20 years, the opportunities for manufacturing at the nano-level have risen substantially. Despite this growth, the industry continues to face the challenge of obtaining a significant experimental yield that is worthy of the cost to produce at the atomic level. Today, most researchers utilise response surface methodology to evaluate and improve existing techniques in nanoparticle production. While these methods are appropriate for identifying optimal factor settings in the traditional manufacturing process, they require some refinement under significantly elevated degrees of quality. This paper investigates the use of higher-order response surface designs in the improvement of nanomanufacturing processes.
  Keywords: optimisation; quality assurance; nanomanufacturing; response surface methodology; RSM; nanoparticle production; nanoparticles; nanotechnology
  Citation: International Journal of Quality Engineering and Technology, Vol. 3, No. 3 (2013) pp. 181 - 203
  PubDate: 2013-04-13T23:20:50-05:00
  DOI: 10.1504/IJQET.2013.053260
  Issue No: Vol. 3, No. 3 (2013)
Further extensions to robust parameter design: three factor interactions with an application to hyperspectral imagery
- Authors: Jason P. Williams, Kenneth W. Bauer, Mark A. Friend
  Pages: 204 - 218
  Abstract: Hyperspectral imagery (HSI) provides opportunities for locating anomalous objects through the use of multivariate statistics. Global anomaly detectors, such as the autonomous global anomaly detector (AutoGAD), require the user to provide various parameters/thresholds to analyse an image. These user-defined settings can be thought of as control variables and properties of the imagery can be employed as noise variables. The presence of these factors suggests the use of robust parameter design (RPD) to locate the best settings for the algorithm. Mindrup et al. (2012) showed that the standard RPD model might not be sufficient for use with more complex data and extended the model to include noise by noise interactions. This paper extends the model to include control by noise by noise and noise by control by control interactions. These new models are then applied to AutoGAD output and the Lin and Tu MSE method is employed to locate optimal settings.
  Keywords: anomaly detection; autonomous global anomaly detector; AutoGAD; hyperspectral imagery; HSI; independent component analysis; ICA; response surface methodology; RSM; robust parameter design; RPD; anomalous objects; multivariate statistics; image analys
  Citation: International Journal of Quality Engineering and Technology, Vol. 3, No. 3 (2013) pp. 204 - 218
  PubDate: 2013-04-13T23:20:50-05:00
  DOI: 10.1504/IJQET.2013.053258
  Issue No: Vol. 3, No. 3 (2013)
Quality readiness and growth of Indian micro, small and medium enterprises
- Authors: Pankaj Madan, Moloy Ghoshal
  Pages: 219 - 235
  Abstract: With the increase in quality consciousness and expectations of the customers around the world, micro, small and medium enterprises (MSMEs) in India are also trying to keep up with the customers by improving the quality of their products. This paper is an assessment of quality readiness and growth of MSMEs of India. The focus of the study is to identify the quality readiness of these MSMEs on the scale of leadership, planning, infrastructure, people, resources and process management, customer and people satisfaction and to study the challenges associated with the quality of products and services. The study is conducted on export oriented leather, plastics and chemical industries of Uttar Pradesh, India. It also examines possible connections between enablers of quality deployment and quality readiness of MSMEs. Statistical analysis reveal, if there are any significant differences in the use and implementation of quality-related practices, across the low, moderate and high growth MSMEs. The outcomes may help other MSMEs on the pathway of quality improvement.
  Keywords: microenterprises; small and medium-sized enterprises; MSMEs; SMEs; quality improvement; total quality management; TQM; quality readiness; India; leather industry; plastics industry; chemical industry; exporting industries; exports
  Citation: International Journal of Quality Engineering and Technology, Vol. 3, No. 3 (2013) pp. 219 - 235
  PubDate: 2013-04-13T23:20:50-05:00
  DOI: 10.1504/IJQET.2013.053271
  Issue No: Vol. 3, No. 3 (2013)
Order statistics for the two-level eight-run saturated-unreplicated fractional-factorial screening: corrections for asymmetry in the three- and four-factor multi-contrasting
- Authors: Pankaj Madan, Moloy Ghoshal
  Pages: 236 - 242
  Abstract: The eight-run, two-level, seven-factor saturated-unreplicated orthogonal array has been analysed previously by pure distribution-free multi-comparison tests. It has been found in this work that there is asymmetry for two particular reference cumulative distribution functions relating to three- and four-factor contrasting. Both of these groups are separated into two distribution families, one containing 28 members and the other seven members. However, it is stressed that the corrections proposed in this work does not essentially alter the statistical behaviour of previous results when considering the cut-off points in terms of composite rank-sums for the typical statistical significance levels of 0.1 and 0.05, respectively.
  Keywords: unreplicated factorial design; saturated factorial design; quality screening; design of experiments; non-parametric test; rank-sum test; orthogonal arrays; unequal states; statistical behaviour; non-parametric comparison tests; asymmetry;
  Citation: International Journal of Quality Engineering and Technology, Vol. 3, No. 3 (2013) pp. 236 - 242
  PubDate: 2013-04-13T23:20:50-05:00
  DOI: 10.1504/IJQET.2013.053274
  Issue No: Vol. 3, No. 3 (2013)
A new robust design method from an inverse-problem perspective
- Authors: Nguyen Khoa Viet Truong, Sangmun Shin
  Pages: 243 - 271
  Abstract: This paper develops a new approach to robust design (RD). Current RD techniques, including the Taguchi approach, and enhanced approaches using response surface methodology (RSM), can process limited amounts of statistical and engineering information. The primary objective of this paper is to view RD from Bayesian perspectives by incorporating inverse problem (IP) concepts in order to relax the basic assumptions of the least-squares method. The practical benefits of applying IP to RD is the ability of estimation, by treating each model parameter as a random variable, and the flexibility of forwarding and inversing the estimated model. A numerical example is shown, and a comparative study, using conventional response surface robust design (RSRD) models and the proposed IP-based RD (IPRD) models, is present for verification purposes. The numerical example demonstrates that the proposed IPRD models provide significantly better RD solutions than the conventional RSRD models reported in the literature.
  Keywords: robust design; response surface methodology; RSM; inverse problems; parameter estimation; optimisation; expected quality loss; Bayesian perspectives; modelling
  Citation: International Journal of Quality Engineering and Technology, Vol. 3, No. 3 (2013) pp. 243 - 271
  PubDate: 2013-04-13T23:20:50-05:00
  DOI: 10.1504/IJQET.2013.053277
  Issue No: Vol. 3, No. 3 (2013)

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