[vc_row][vc_column][vc_column_text]<\/p>\n
[\/vc_column_text][vc_row_inner][vc_column_inner width=”1\/4″][vc_single_image image=”4331″ alignment=”center”][\/vc_column_inner][vc_column_inner width=”3\/4″][vc_column_text]Walter P Murphy
\nProfessor, Department of Industrial Engineering & Management Sciences
\nNorthwestern University[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_column_text]<\/p>\n
At the November 1967 “Conference on the Applications of Simulation Using GPSS” it seems unlikely that anyone was wondering if the conference would still be occupying a big hotel in 2017. Conferences persist for many reasons, but a technical conference like WSC has to remain relevant to users, vendors, researchers and consumers (not just hotels) to survive. If our kind of simulation vanished, then so (eventually) would WSC.\u00a0 What is required for simulation to “remain relevant” for the next 50 years?\u00a0 Without fear of having to answer for my crimes in 2067, I boldly speculate on what SHOULD matter for the next 10-20 years, if not the next 50, with a focus on our strength: dealing with uncertainty.[\/vc_column_text][vc_separator color=”blue”][\/vc_column][\/vc_row][vc_row][vc_column][vc_separator][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n
[\/vc_column_text][vc_row_inner][vc_column_inner width=”1\/4″][vc_single_image image=”4334″ alignment=”center”][\/vc_column_inner][vc_column_inner width=”3\/4″][vc_column_text]Robert G. Sargent<\/strong><\/p>\n Professor Emeritus – Syracuse University[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_column_text]<\/p>\n This presentation will give a personal perspective on the evolution of how discrete-event simulation moved from having an image from the 1950s through the 1980s of being a \u201cbrute force programming effort\u201d and as a problem solving \u201cmethod of last resort\u201d to today\u2019s status where simulation enjoys \u201cconsiderable scientific respect\u201d as simulation is often the solution \u201cmethod of choice\u201d and has much \u201cscholarly respect\u201d. This evolution changed simulation from using \u201cad hoc methods\u201d of solution on \u201cearly digital computers\u201d to using simulation software systems containing \u201cscience-based methods\u201d of solution on \u201cmodern day computers\u201d.[\/vc_column_text][vc_separator color=”blue”][vc_column_text][\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_row_inner][vc_column_inner width=”1\/4″][vc_single_image image=”4512″ alignment=”center”][\/vc_column_inner][vc_column_inner width=”3\/4″][vc_column_text]Bernard P. Zeigler<\/strong><\/p>\n Professor Emeritus of Electrical and Computer Engineering – University of Arizona[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_column_text]<\/p>\n The conventional approach to model construction for simulation is to focus on a single model and follow a more or less structured development cycle. Why we put in twice the time and effort to develop two models rather than one? The answer lies in the fact that like most greedy heuristics, short-sightedness at the beginning may be much more costly in the end. This talk will champion the cause of the pairs-of-models (perhaps families of models) with discussion of multiresolution modeling. We show how the pair-of-models approach leads to be better results overall than construction of a complex model followed by a simpler model developed subsequently by necessity under stress when complexity overwhelms. Benefits include the ability to perform mutual cross-calibration, avoiding the usual difficulties in harmonization of the underlying ontologies as well as ability to better reconcile and correlate predictions of referent system outcomes.[\/vc_column_text][vc_separator color=”blue”][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n [\/vc_column_text][vc_row_inner][vc_column_inner width=”1\/4″][vc_single_image image=”4335″ alignment=”center”][\/vc_column_inner][vc_column_inner width=”3\/4″][vc_column_text]St\u00e9phane Dauz\u00e8re-P\u00e9r\u00e8s<\/strong><\/p>\n Professor, Ecole des Mines de Saint-Etienne[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_column_text]<\/p>\n I had the opportunity to work for about 14 years on many different projects with two manufacturing sites of the French-Italian semiconductor company STMicroelectronics. Supported by European, national and industrial projects, this still active long-term academic-industrial collaboration led to many scientific and industrial achievements, spreading to other companies. Through regular exchanges, engineers, researchers, PhD and Master students were able to present their problems, their advances and generate new research projects. After some history of the collaboration, the presentation will survey some of the main research and industrial results in qualification and flexibility management, production and capacity planning, scheduling, automated transportation, dynamic sampling and time constraint management. Challenges faced and lessons learned when applying Operations Research and Industrial Engineering in practice, and in particular in semiconductor manufacturing, will be discussed. Benefits for both practitioners and researchers will be emphasized, such as the opportunity to propose and study new relevant problems and develop and apply novel approaches using actual industrial data.<\/span>[\/vc_column_text][vc_separator color=”blue”][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text][\/vc_column_text][vc_column_text]<\/p>\n [\/vc_column_text][vc_row_inner][vc_column_inner width=”1\/4″][vc_single_image image=”4333″ alignment=”center”][\/vc_column_inner][vc_column_inner width=”3\/4″][vc_column_text]Douglas Hodson<\/strong><\/p>\n Associate Professor, Professor of Computer Engineering at the Air Force Institute of Technology (AFIT)[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_column_text]<\/p>\n The Department of Defense uses Modeling and Simulation to support a variety of activities ranging from engineering to theater-level analytical studies, training, strategy evaluation and test. This talk presents some of the current challenges, research directions and promising opportunities to further exploit this powerful tool to understand complex system dynamics and predict performance.<\/p>\n [\/vc_column_text][vc_separator color=”blue”][vc_column_text]<\/p>\n [\/vc_column_text][vc_row_inner][vc_column_inner width=”1\/4″][vc_single_image image=”4475″ alignment=”center”][\/vc_column_inner][vc_column_inner width=”3\/4″][vc_column_text]Brian Hollocks<\/strong><\/p>\n Professor, Bournemouth University, Faculty of Management.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_column_text]<\/p>\n Discrete-event simulation first emerged in the late 1950s and steadily grew in popularity to become the most frequently used of the classical Operational Research techniques across a range of industries and users. The leading advances in the evolution of discrete-event simulation software came from the United Kingdom and the USA and this presenter was engaged for some 30 years with its development and use. The presentation reviews that history as a first-hand account, specifically in the United Kingdom.<\/span><\/span>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":" [vc_row][vc_column][vc_column_text] 50th Anniversary\u00a0Keynote: Barry L. Nelson [\/vc_column_text][vc_row_inner][vc_column_inner width=”1\/4″][vc_single_image image=”4331″ alignment=”center”][\/vc_column_inner][vc_column_inner width=”3\/4″][vc_column_text]Walter P Murphy Professor, Department of Industrial Engineering & Management Sciences Northwestern University[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_column_text] WSC 2067:\u00a0\u00a0 What Are The Chances? At the November 1967 “Conference on the Applications of Simulation Using GPSS” it seems unlikely that anyone was wondering if the conference would still be occupying […]<\/p>\n","protected":false},"author":1001077,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-4337","page","type-page","status-publish","hentry","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"acf":[],"yoast_head":"\nA Perspective on Fifty-Five Years of the Evolution of Scientific Respect for Simulation<\/h4>\n
Why Should We Develop Simulation Models in Pairs?<\/h4>\n
MASM Keynote<\/h3>\n
Achievements and Lessons Learned from a Long-term Academic-Industrial Collaboration<\/h4>\n
Military Keynote<\/h3>\n
Military Simulation:\u00a0 A Ubiquitous Future<\/h4>\n
History of Simulation Keynote<\/h3>\n
History of Simulation in the United Kingdom<\/h4>\n