{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T13:36:21Z","timestamp":1777901781682,"version":"3.51.4"},"reference-count":23,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[1994,10,1]],"date-time":"1994-10-01T00:00:00Z","timestamp":780969600000},"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":[[1994,10]]},"abstract":"<jats:p>Recent years have witnessed the development and commercial release of multiple simulation tools, environments, and intelligent simulators. Each release seems to contain additional advanced features designed to simplify simulation use and increase the productivity of model builders. But to date, no one has addressed feature definition from the viewpoint of a simulation practitioner. This paper discusses our efforts to identify and prioritize simulation features deemed most desirable from the practitioner viewpoint. A series of three questionnaires was developed and administered to a group of qualified simulation practitioners. With results that are of interest to simulation users, researchers, and simulation software developers, the survey responses reveal not only what practitioners feel are the most important features of presently available commercial packages, but also identify important areas for future development.<\/jats:p>","DOI":"10.1177\/003754979406300402","type":"journal-article","created":{"date-parts":[[2007,3,18]],"date-time":"2007-03-18T03:46:49Z","timestamp":1174189609000},"page":"211-221","source":"Crossref","is-referenced-by-count":25,"title":["Ascertaining Important Features For Industrial Simulation Environments"],"prefix":"10.1177","volume":"63","author":[{"given":"Gerald T.","family":"Mackulak","sequence":"first","affiliation":[{"name":"Industrial and Management Systems Engineering Arizona State University Tempe, Arizona 85287-5906"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeffery K.","family":"Cochran","sequence":"additional","affiliation":[{"name":"Industrial and Management Systems Engineering Arizona State University Tempe, Arizona 85287-5906"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul A.","family":"Savory","sequence":"additional","affiliation":[{"name":"Industrial and Management Systems Engineering University of Nebraska Lincoln, Nebraska 68588"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[1994,10,1]]},"reference":[{"key":"atypb1","volume-title":"Introduction to Simulation Using SIMAN","author":"Pegden, C.D.","year":"1990"},{"key":"atypb2","volume-title":"ProModel PC User's Manual","year":"1989"},{"key":"atypb3","doi-asserted-by":"publisher","DOI":"10.1177\/003754978704800503"},{"key":"atypb4","volume-title":"Proceedings of the 1991 Winter Simulation Conference","author":"Cox, S.W."},{"key":"atypb5","doi-asserted-by":"publisher","DOI":"10.1177\/003754978905200402"},{"key":"atypb6","volume-title":"Proceedings of the 1991 Winter Simulation Conference","author":"Vincent, S.G."},{"key":"atypb7","doi-asserted-by":"publisher","DOI":"10.1177\/003754978704800202"},{"issue":"5","key":"atypb8","first-page":"443","volume":"37","author":"Balmer, D.W.","year":"1986","journal-title":"Journal of Operations Research Society"},{"key":"atypb9","volume-title":"SIGMA: Graphical Simulation Modeling","author":"Schruben, L.W.","year":"1992"},{"key":"atypb10","unstructured":"Mackulak, G.T. and Cochran, J.K. (1989) Mascot: A Prolog-Based Simulation Modeling and Training Environment. In Modeling and Simulation Methodology: Knowledge Systems Paradigms (Elzas, Oren, and Zeigler, editors), North Holland, Elsevier Science Publishers, pp. 145-160."},{"key":"atypb11","unstructured":"Mackulak, G.T. and Cochran, J.K. (1990) Generic\/Specific Modeling: An Improvement to CIM Simulation Techniques. In Optimization of Manufacturing Systems Design (D. 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