Analytical Method of Process Capability for Steel
Author(s) -
WenPei Sung,
KuenSuan Chen,
Cheer Germ Go
Publication year - 2002
Publication title -
the international journal of advanced manufacturing technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.946
H-Index - 124
eISSN - 1433-3015
pISSN - 0268-3768
DOI - 10.1007/s001700200181
Subject(s) - quality (philosophy) , process (computing) , engineering , production (economics) , alloy steel , structural engineering , computer science , alloy , materials science , metallurgy , operating system , philosophy , epistemology , economics , macroeconomics
The mechanical properties of steel are the most important factor in the safety of structures that must be stable and appropriate. In order to investigate whether the process capability of steel production meets the quality requirements or not, Sung et al. proposed a procedure to evaluate the production and quality control of steel manufacturing. This evaluation model uses statistics to judge the quality of steel objectively. However, there are various types of steel which can satisfy the engineering requirements of design and construction, but procedures are lacking with which to evaluate the multi-process capability of the whole steelwork. In this paper, the objective evaluation methods proposed by Sung and Vannman are modified appropriately and extended by using the principles of statistical inference. A procedure to evaluate the quality of the multi-process capability analysis method is proposed. This evaluation method not only completely evaluates the process capability and quality, but it also improves the production process and quality control capability, and so can reduce production loss
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom