NDLI: Optimal experimental design for systems involving both quantitative and qualitative factors

Content Provider	IEEE Xplore Digital Library
Author	Chantarat, N. Ning Zheng Allen, T.T. Deng Huang
Copyright Year	2003
Description	Author affiliation: Dept. of Ind., Welding & Syst. Eng., Ohio State Univ., Columbus, OH, USA (Chantarat, N.; Ning Zheng; Allen, T.T.; Deng Huang)
Abstract	Often in discrete-event simulation, factors being considered are qualitative such as machine type, production method, job release policy, and factory layout type. It is also often of interest to create a response surface (RS) metamodel for visualization of input-output relationships. Several methods have been proposed in the literature for RS metamodeling with qualitative factors but the resulting metamodels may be expected to predict poorly because of sensitivity to misspecification or bias. This paper proposes the use of the expected integrated mean squared error (EIMSE) criterion to construct alternative optimal experimental designs. This approach explicitly takes bias into account. We use a discrete-event simulation example from the literature, coded in ARENA/spl trade/, to illustrate the proposed method and to compare metamodeling accuracy of alternative approaches computationally.
Sponsorship	American Statistical Assoc. Assoc. for Comput. Machinery, Special Interest Group on Simulation IEEE Comput. Soc. IEEE Systems, Man and Cybernetics Soc. IIE Inst. for Oper. Res. and the Management Sci. College on Simulation Nat. Inst. of Standards and Technol. Soc. for Mideling and Simulation Int
Starting Page	556
Ending Page	564
File Size	635995
Page Count	9
File Format	PDF
ISBN	0780381319
DOI	10.1109/WSC.2003.1261469
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-12-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Design for experiments Discrete event simulation Mathematical model Response surface methodology Computational modeling Least squares approximation Machinery production industries Welding Systems engineering and theory Job production systems
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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