The Experts below are selected from a list of 39570 Experts worldwide ranked by ideXlab platform

Meily Lin - One of the best experts on this subject based on the ideXlab platform.

  • optimum customer based Specification part of dfss case study
    SAE transactions, 2005
    Co-Authors: Meily Lin
    Abstract:

    Maximizing customer satisfaction is one key factor for marketing success. It is crucial to have Engineering Specifications reflecting customer expectations. This paper describes the strategy and methodologies used to generate optimum Engineering Specification in a case study. This study is part of the DFSS project, which focused on electrical delay time prior to engine crank.

Arifa Sultana - One of the best experts on this subject based on the ideXlab platform.

  • assessment and comparison of multivariate process capability indices in ceramic industry
    Journal of Mechanical Engineering, 2009
    Co-Authors: Abu Zahid, Arifa Sultana
    Abstract:

    Process capability indices are intended to provide a single-number assessment of the consistency of a manufacturing process relative to the Engineering Specification limits on quality characteristics. In many industrial instances product quality depends on a multitude of dependent characteristics and as a consequence, attention on capability indices shifts from univariate domain to multivariate domain. In this paper five different multivariate methodologies are used for measuring and comparing capability of a ceramic table-ware manufacturing process. Based on their multivariate process capability index values and expected rejection rate, the result shows that Castagliola's index is the best and followed by Chen, Taam, Shahriari and Braun respectively in this case. Keywords: Process capability indices, Multivariate process capability indices, Multivariate Capability Plot, Multivariate control chart doi:10.3329/jme.v39i1.1829 Journal of Mechanical Engineerin g, vol. ME39, No. 1, June 2008 18-25

Seunglye Kim - One of the best experts on this subject based on the ideXlab platform.

  • characterization and development of the ideal pedal force pedal travel and response time in the brake system for the translation of the voice of the customer to Engineering Specifications
    Proceedings of the Institution of Mechanical Engineers Part D: Journal of automobile engineering, 2010
    Co-Authors: Sangdon Lee, Seunglye Kim
    Abstract:

    It is a well-known fact that braking is one of the most important factors in customer satisfaction and a key factor in the voice of the customer (VOC). The VOC has to be translated into Engineering Specifications in due course and various methods have been developed. Current Engineering Specifications utilize only a few discrete points on the pedal force (PF), pedal travel (PT), and response time (RT) curves owing to the multi-dimensional nature of these curves, and thus may not represent the entire curves well. Principal component analysis (PCA) is applied in order to analyse the entire shapes of the three curves and to identify the underlying variation modes. Then, buyer satisfaction scores from a mail survey are regressed on the variation modes. Finally, the ideal shapes of the PF, PT, and RT curves are developed for the sport segment, the coupe and sedan segment, and the truck segment to aid new brake system and vehicle design. Translating the VOC from marketing research into Engineering Specification...

Raymond R Tan - One of the best experts on this subject based on the ideXlab platform.

  • a fuzzy programming approach to multi objective optimization for geopolymer product design
    Computer-aided chemical engineering, 2017
    Co-Authors: Michael Angelo B Promentilla, Martin Ernesto Kalaw, Hoc Thang Nguyen, Kathleen B Aviso, Raymond R Tan
    Abstract:

    Abstract Geopolymer is an inorganic polymer binder formed from the alkaline activation of reactive alumino-silicate materials resulting in two- or three-dimensional polymeric network. It is a promising alternative to Portland cement-based materials because of its lower embodied energy and carbon footprint with potential for waste valorization. Studies have been done to develop such material with desired Engineering Specification by using statistical design of experiment and optimizing the process conditions or mix formulation of waste materials. However, it is not only the Engineering properties such as its mechanical and thermal properties, but also other properties pertaining to green materials (e.g., embodied energy and carbon footprint) have to be considered. Conflicting objectives may also have to be satisfied simultaneously to find a compromised solution in the product design such as that of maximizing the strength and minimizing the volumetric weight. This work thus proposes a weighted max-min aggregation approach to multi-objective optimization of the geopolymer product using fuzzy programming approach. The optimization formulation was introduced such that fuzzy sets represent both the aspired product desirability and soft constraints; the optimal mix is then found by maximizing the simultaneous satisfaction of target properties of the desired product. This work also proposes an extension of such fuzzy optimization formulation wherein the nature of trade-off between improving the product desirability and satisfying the fuzzy constraints are made explicit. The relative importance of the properties as represented by priority weights were derived systematically using Analytic Hierarchy Process (AHP). A case study on a ternary blended geopolymer from coal fly ash, coal bottom ash, and rice hull ash is presented to illustrate the proposed method.

Abu Zahid - One of the best experts on this subject based on the ideXlab platform.

  • assessment and comparison of multivariate process capability indices in ceramic industry
    Journal of Mechanical Engineering, 2009
    Co-Authors: Abu Zahid, Arifa Sultana
    Abstract:

    Process capability indices are intended to provide a single-number assessment of the consistency of a manufacturing process relative to the Engineering Specification limits on quality characteristics. In many industrial instances product quality depends on a multitude of dependent characteristics and as a consequence, attention on capability indices shifts from univariate domain to multivariate domain. In this paper five different multivariate methodologies are used for measuring and comparing capability of a ceramic table-ware manufacturing process. Based on their multivariate process capability index values and expected rejection rate, the result shows that Castagliola's index is the best and followed by Chen, Taam, Shahriari and Braun respectively in this case. Keywords: Process capability indices, Multivariate process capability indices, Multivariate Capability Plot, Multivariate control chart doi:10.3329/jme.v39i1.1829 Journal of Mechanical Engineerin g, vol. ME39, No. 1, June 2008 18-25