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An integrated approach for enhancing the quality of the product by combining robust design and customer requirements

Shahriari, H ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1002/qre.1548
  3. Abstract:
  4. Enhancing the quality of the product has always been one considerable concern of production process management, and this subject gave way to implementing so many methods including robust design. In this paper, robust design utilizes response surface methodology (RSM) considering the mean and variance of the response variable regarding system design, parameter design, and tolerance design. In this paper, customer requirements and robust design are regarded simultaneously to achieve enriched quality. Subsequently, with a non-linear programming, a novel method for integrating RSM and quality function deployment has been proposed to achieve robustness in design. The customer requirements are regarded in every stage of product development process meaning system design, parameter design and tolerance design. To validate the applicability of the proposed approach, it has been implemented in a real case of chemical industry. Research findings show that the proposed method is much better than other existing methods including MSE and dual response methods. According to this method, the resulted mean is better than MSE method, and more importantly, the variance of the process is approximately 14% and 10% lesser than dual response and MSE method
  5. Keywords:
  6. Response surface methodology (RSM) ; Robust design ; Chemical industry ; Fits and tolerances ; Nonlinear programming ; Product development ; Quality function deployment ; Sales ; Surface properties ; Systems analysis ; Customer ; Customer requirements ; Integrated approach ; Parameter designs ; Product development process ; Production process ; Response surface methodology ; Robust designs ; Product design
  7. Source: Quality and Reliability Engineering International ; Vol. 30, Issue. 8 , 2014 , pp. 1285-1292 ; ISSN: 07488017
  8. URL: http://onlinelibrary.wiley.com/doi/10.1002/qre.1548/abstract;jsessionid=047BB5A3982A9D102312A639ABA7F682.f02t02