Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

Implementing evaluation of the measurement process in an automotive manufacturer: a case study

Antony, Jiju (2003) Implementing evaluation of the measurement process in an automotive manufacturer: a case study. Quality and Reliability Engineering International, 19 (5). pp. 397-410. ISSN 0748-8017

[img]
Preview
PDF - Draft Version
Download (333Kb) | Preview

    Abstract

    Reducing process variability is presently an area of much interest in manufacturing organizations. Programmes such as Six Sigma robustly link the financial performance of the organization to the degree of variability present in the processes and products of the organization. Data, and hence measurement processes, play an important part in driving such programmes and in making key manufacturing decisions. In many organizations, however, little thought is given to the quality of the data generated by such measurement processes. By using potentially flawed data in making fundamental manufacturing decisions, the quality of the decision-making process is undermined and, potentially, significant costs are incurred. Research in this area is sparse and has concentrated on the technicalities of the methodologies available to assess measurement process capability. Little work has been done on how to operationalize such activities to give maximum benefit. From the perspective of one automotive company, this paper briefly reviews the approaches presently available to assess the quality of data and develops a practical approach, which is based on an existing technical methodology and incorporates simple continuous improvement tools within a framework which facilitates appropriate improvement actions for each process assessed. A case study demonstrates the framework and shows it to be sound, generalizable and highly supportive of continuous improvement goals.

    Item type: Article
    ID code: 36129
    Keywords: measurement system analysis, automotive industry, reliability management, Management. Industrial Management, Engineering design
    Subjects: Social Sciences > Industries. Land use. Labor > Management. Industrial Management
    Technology > Engineering (General). Civil engineering (General) > Engineering design
    Department: Faculty of Engineering > Design, Manufacture and Engineering Management
    Related URLs:
      Depositing user: Pure Administrator
      Date Deposited: 28 Nov 2011 10:58
      Last modified: 19 Mar 2012 12:02
      URI: http://strathprints.strath.ac.uk/id/eprint/36129

      Actions (login required)

      View Item

      Fulltext Downloads: