{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T13:37:18Z","timestamp":1777901838570,"version":"3.51.4"},"reference-count":24,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[1998,4,1]],"date-time":"1998-04-01T00:00:00Z","timestamp":891388800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["SIMULATION"],"published-print":{"date-parts":[[1998,4]]},"abstract":"<jats:p>Very often the data sets needed for large-scale system simulation and testing aren't available. Even when it's possible to collect and use the real-world data, they're not always suitable. In some situations, only a small portion of the data sets is actually needed for system testing. In others, the sets may involve many data variables and extensive data elements in each data variable, creating high complexity and difficulty. This is especially true in manufac turing production planning, where many fac tors must be considered, and the scope of the data sets is often very large. Here we introduce the procedure and methods we developed for generating large data sets in manufacturing using Monte Carlo techniques combined with the Extended Entity Relationship modeling method. We introduce an approach that can deal with complicated relationships and order ing among random variates. We generate the data sets for an IBM electronics manufactur ing facility. We examine use of the sets to test an information visualization system for pro duction planning. We discuss the goals of ran dom sample generation and the verification of the generation of the random variates.<\/jats:p>","DOI":"10.1177\/003754979807000403","type":"journal-article","created":{"date-parts":[[2007,3,18]],"date-time":"2007-03-18T03:46:49Z","timestamp":1174189609000},"page":"231-246","source":"Crossref","is-referenced-by-count":0,"title":["Generating Large Data Sets for Simulation of Electronics Manufacturing"],"prefix":"10.1177","volume":"70","author":[{"family":"Ping Zhang","sequence":"first","affiliation":[{"name":"School of Information Studies 4-295 Center for Science and Technology Syracuse University Syracuse, NY 13244"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"James B.","family":"Pick","sequence":"additional","affiliation":[{"name":"Department of Management and Business University of Redlands 1200 East Colton Avenue Redlands, CA 92373-0999"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[1998,4,1]]},"reference":[{"key":"atypb1","volume-title":"Computer Simulation","author":"Watson, Hugh J.","year":"1989"},{"key":"atypb2","volume-title":"A Course in Simulation","author":"Ross, Sheldon","year":"1990"},{"key":"atypb3","volume-title":"Statistical Techniques in Simulation, two volumes","author":"Kleijnen, Jack P.C.","year":"1974"},{"key":"atypb4","doi-asserted-by":"publisher","DOI":"10.1177\/003754978504500602"},{"key":"atypb5","volume-title":"TESS: The Extended Simulation Support System","author":"Standridge, Charles R.","year":"1987"},{"key":"atypb6","doi-asserted-by":"publisher","DOI":"10.1177\/003754979205800309"},{"key":"atypb7","volume-title":"Proceedings of the 1996 Winter Simulation Conference","author":"Standridge, Charles R."},{"issue":"6","key":"atypb8","first-page":"368","volume":"63","author":"Galbraith, Lissa","year":"1994","journal-title":"SIMULATION"},{"issue":"3","key":"atypb9","first-page":"195","volume":"7","author":"Rozenblit, Jerzy W.","year":"1990","journal-title":"Transactions of The Society for Computer Simulation"},{"key":"atypb10","doi-asserted-by":"publisher","DOI":"10.1177\/003754979606700304"},{"key":"atypb11","doi-asserted-by":"crossref","unstructured":"Fishwick, Paul A. 1992. \"An Integrated Approach to System Modeling Using a Synthesis of Artificial Intelligence, Software Engineering and Simulation Methodologies.\" ACM Transactions on Modeling and Computer Simulation Vol. 2, No. 4, pp 307-330.","DOI":"10.1145\/149516.149530"},{"key":"atypb12","doi-asserted-by":"publisher","DOI":"10.1177\/003754979606700603"},{"key":"atypb13","doi-asserted-by":"publisher","DOI":"10.1145\/7474.7475"},{"key":"atypb14","volume-title":"Visualization for Decision Making Support","author":"Zhang, Ping.","year":"1995"},{"key":"atypb15","volume-title":"Proceedings of The Second Americas Conference on Information Systems","author":"Zhang, Ping."},{"key":"atypb16","volume-title":"Manufacturing Planning and Control Systems","author":"Vollmann, Thomas","year":"1988"},{"key":"atypb17","volume-title":"Proceedings of INFORMS First Conference on Information Systems and Technology","author":"Zhang, Ping"},{"key":"atypb18","volume-title":"Diagramming Techniques for Analysts and Programmers","author":"Martin, James","year":"1985"},{"key":"atypb19","volume-title":"Basic Business Statistics: Concepts and Applications, sixth edition","author":"Berenson, Mark","year":"1996"},{"key":"atypb20","volume-title":"Simulation Modeling and Analysis, second edition","author":"Law, Averill M.","year":"1991"},{"key":"atypb21","volume-title":"Statistics","author":"Hays, William L.","year":"1988"},{"key":"atypb22","volume-title":"Nonparametric Statistics for the Behavioral Sciences","author":"Siegel, 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