Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Sign In to gain access to subscriptions and/or personal tools.
SIMULATION
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Özdemirel, N. E.
Right arrow Articles by Köksal, G.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Other

Computer-Aided Planning and Design of Manufacturing Simulation Experiments

Nur E. Özdemirel

Department of Industrial Engineering Middle East Technical University Ankara, Turkey

Gazanfer Y. Yurttas

Department of Industrial Engineering Middle East Technical University Ankara, Turkey

Gülser Köksal

Department of Industrial Engineering Middle East Technical University Ankara, Turkey

As simulation has become a major tool in studying discrete manufacturing systems, experimental design issues have started to receive much attention. Although the importance of proper experimentation is often emphasized in the literature on discrete event simulation, it is neglected in most practical simulation studies. The main reason for this neglect is that the design and analysis of a simulation experiment require expertise in experimental design methodology as well as familiarity with traditional statistical output analysis methods. This article presents an attempt to structure the process of planning and designing simulation experiments, and proposes a knowledge- based system, namely Design Of Experi ments for Simulation (DOES), that assists the inexperienced analyst in this process. The proposed system takes the analyst through a planning process based on the simulation objectives.

Key Words: DOES • Manufacturing simulation experiments • design of experiments • knowledge-based systems

SIMULATION, Vol. 67, No. 3, 171-191 (1996)
DOI: 10.1177/003754979606700304


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?