Table of Contents

• Introduction to simulation modelingJ. William Schmidt. 3-12 [doi]
• Introduction to simulation languagesRobert G. Sargent. 15-17 [doi]
• Simulation modeling workshopWilliam E. Biles. 19-23 [doi]
• Introduction to GPSSThomas J. Schriber. 25 [doi]
• SLAM tutorialA. Alan B. Pritsker, Claude Dennis Pegden. 27-31 [doi]
• Applications of corporate financial modelsE. Leonard Arnoff. 33-36 [doi]
• Guidelines for selecting a financial modeling languageDonald A. Heckerman, Ian J. Adams. 39-43 [doi]
• A comparative analysis of financial modeling languagesJohn M. Lewis. 45-53 [doi]
• Design and analysis of simulation experimentsRobert E. Shannon. 55-61 [doi]
• Managing simulation projectsPaul Gray. 63-68 [doi]
• Computer aided simulation for computer system studiesGeorge K. Hutchinson. 71-86 [doi]
• PERT and simulationDavid E. Douglas. 89-98 [doi]
• Introduction to the software design and documentation languageHenry Kleine. 101 [doi]
• Financial modeling...simulating your way to planned objectivesJoseph J. Centofanti, David C. Evans. 105-116 [doi]
• Financial modeling: Practical applications in hospital managementJohn P. Chaplick, Benjamin F. Giles. 119-126 [doi]
• Empirical testing of multiplicative congruential generators with modulus 231-1George S. Fishman, Louis R. Moore. 129 [doi]
• A survey of methods for sampling from the gamma distributionPandu R. Tadikamalla, Mark E. Johnson. 131-134 [doi]
• The generation of order statistics in digital computer simulation: A surveyBruce W. Schmeiser. 137-140 [doi]
• The bivariate beta distribution: Comparison of Monte Carlo generators and evaluation of parameter estimatesJames H. Macomber, Buddy L. Myers. 143-152 [doi]
• Simulation methods for Poisson processes in nonstationary systemsPeter A. W. Lewis, Gerald S. Shedler. 155-163 [doi]
• Validation of simulation modelsAverill M. Law. 165 [doi]
• Variance reduction techniquesStephen S. Lavenberg, Peter D. Welch. 167-170 [doi]
• Superimposing direct search methods for parameter optimization onto dynamic simulation modelsRainer Heckler, Hans-Paul Schwefel. 173-181 [doi]
• Simulation optimization using response surfaces based on spline approximationsAndrew F. Daughety, Mark A. Turnquist. 183-193 [doi]
• Use of both optimization and simulation models to analyze complex systemsDean H. Kropp, C. Robert Carlson, James V. Jucker. 195-201 [doi]
• Designing simulation experiments to completely rank alternativesThomas A. Bishop. 203-205 [doi]
• Multivariate ranking and selection without reduction to a univariate problemEdward J. Dudewicz, Vidya S. Taneja. 207-210 [doi]
• Some considerations for improving federal modelingPaul F. Roth, Austin J. Lemoine. 213-218 [doi]
• Communication needs in computer modelingHubert Lipinski, Roy Amara, Kathleen Spangler. 219-228 [doi]
• Management of the model development processIgal Ayal, Donald J. Hempel, Philippe Cattin. 231-240 [doi]
• A programming theory for discrete simulationRobert E. Haymond. 243-250 [doi]
• Statistically suitable initial multiplier values for IBM's GPSS V random number generatorsCharles S. Saxon, Thomas J. Schriber. 251 [doi]
• Machine independent simulation modelingGeorge E. Juras, Frederick K. Goodman. 253-255 [doi]
• On the relative merits of two major methodologies for simulation model constructionCharles M. Shub. 257-264 [doi]
• Interactive analysis of output from GPSS-based simulationsRichard W. Andrews, Thomas J. Schriber. 267-279 [doi]
• Computer model documentationSaul I. Gass. 281-287 [doi]
• Management oriented documentation of simulationVal Silbey. 289-294 [doi]
• Documentation: A growing need...a new toolMarcia A. Metcalfe. 297-307 [doi]
• SIMDABS: A database system tailored for use in simulation studiesCharles R. Standridge, A. Alan B. Pritsker. 309-311 [doi]
• A Data-Model Interface for modular dynamic simulationFriedhelm R. Drepper. 313-321 [doi]
• A filing system with variable size attributes for the GASP simulation languagesRobert E. Young, Terrence E. Wilson. 323-328 [doi]
• A data base system for river basin managementNguyen Duong, Daryl B. Simons, Ruh-Ming Li. 331-340 [doi]
• An introduction to modeling with INSStephen D. Roberts, James Schier, Thom Sulanke. 343-353 [doi]
• Simulation for the computer noviceJanis Church. 355-359 [doi]
• Simulation: A case approachBarry Shore, Dean Plager. 361-370 [doi]
• Simulating the impact of monetary and fiscal policy activities on the results of corporate financial decisionsMaclyn L. Clouse. 373-376 [doi]
• A pedagogical exercise utilizing computer simulationNewell E. Chiesl. 379-384 [doi]
• Montreal MAPP training simulation modelMuhammed Naqi. 387-390 [doi]
• Real time simulation of elevatorsGeorge T. Hummet, Thomas D. Moser, Bruce A. Powell. 393-402 [doi]
• Simulating station activity in an Advanced Group Rapid Transit systemMarilyn S. Sanfilippo. 405-409 [doi]
• Simulation of mission timelines for the Spacelab programJ. Steven Roberts, Michael A. Fague, Claude D. Pegden. 411-419 [doi]
• Simulation of government policyJames A. Calloway. 421-424 [doi]
• Estimating the total real property value of geographic areas for equalization - a computer simulationJames M. Kraushaar, Steven Hershey. 427-431 [doi]
• Macro-level policy analysis models: A methodological overviewRodrigo J. Lievano, Robert O. Anderson. 433-437 [doi]
• Cost effectiveness of alternative sewage collection treatment and disposal systems at recreational areasMesbah U. Ahmed, Kenneth B. Young, Arun G. Walvekar. 439-449 [doi]
• A simulation of price effects on crude oil production from stripper wells in TexasRobert R. Hill. 451-453 [doi]
• Evolution of a water and power demand projection model for Saudi ArabiaAlan McK. Shorb, Anthony C. Picardi. 455-459 [doi]
• Simulating population and employment change for U.S. metropolitan and rural areasPeter M. Allaman. 461-470 [doi]
• MICSIM - the simulation model of FDNY's computer-aided dispatch systemMichael Geller. 473-482 [doi]
• Insect population simulationJohn R. Barrett, John E. Foster, Greg A. Wong, Elizabeth C. Stanley. 485-492 [doi]
• Irrigation system selection for maximum crop profitR. W. Hill, Jack Keller. 495-504 [doi]
• ANSWERS: A hydrologic / water quality simulator for watershed researchDavid B. Beasley, Larry F. Huggins. 507-515 [doi]
• Global Crop Production Forecasting: A simulation analysis of the data system problems and their solutionsHarvey Golden, James W. Neiers. 517-527 [doi]
• Sizing and assessing computer design alternatives using simulationGary J. Wright, Thomas L. Hannan. 529-540 [doi]
• A simulation of a minicomputer-based data base transaction systemLawrence K. Fried, David Pravidlo. 543-553 [doi]
• Simulation of a multiple CPU military communications systemJames G. Sprung, Ved Aggarwal. 555-560 [doi]
• STAR: Simulation of Tactical Alternative ResponsesSamuel H. Parry. 563-569 [doi]
• A simulation study of operational procedures for increasing the efficiency of inland waterways transportationKiran J. Desai, Jerry Prock. 571-582 [doi]
• Simulation of a rail Rapid transit system at several levels of detailBjorn Conrad, Donato A. D'Esopo. 585-593 [doi]
• Corporate planning systems simulation: The Portland General Electric (PGE) experienceWynn A. Abranovic, Lee A. Barney, Charles A. Lusky, Warren H. Winter. 595-603 [doi]
• The Dresser Planning ModelCharles H. Hatfield Jr., Bryant K. Kershaw. 605-611 [doi]
• Energy forecasting and simulation modelsJohn C. Sweeney. 613-618 [doi]
• A computer model of rainfall runoff from a system of multiple watershedsRuh-Ming Li, Brent E. Spronk, Daryl B. Simons. 621-629 [doi]
• POSIM-A general wildlife population simulatorEdward L. Mooney, Terry Lonner. 631-638 [doi]
• SIMPLE: A simplified ecosystem model for Lake George, New YorkJ. P. Killus. 641-646 [doi]
• QUAL II simulation analysis for treating acid mine drainage problems in the monongahela river basinThomas E. Holland, Donald L. Gochenour Jr., Alfred W. Pappano. 649-656 [doi]
• A new approach to operational efficiency for chronic renal dialysis programRonald M. Korabik. 659-662 [doi]
• Applications of computer simulation in health careWilliam England, Stephen D. Roberts. 665-677 [doi]
• An investigation of the effect of product quality on rework manpower during production via simulationM. Jeya Chandra, Robert G. Sargent. 679-683 [doi]
• Whole mill simulation of small log sawmills with head sawyersK. H. Kempthorne. 685-692 [doi]
• Capacity analysis of an appliance testing processSuraj M. Alexander, Ajit S. Bhatia. 695-699 [doi]
• Study of an automated materials handling systemLee W. Schruben, Philip I. Moser. 701-707 [doi]
• A GPSS V simulation of a computer controlled warehouse picking systemDavid E. Douglas, Michael T. Mazzaro, Leonard J. Myers. 709-719 [doi]
• The application of computer simulation techniques to industrial packaging linesEmory W. Zimmers, Thomas W. Brinker. 721-725 [doi]
• Dynamic simulation of a national resource sharing computer networkRonald Segal, Beverly O'Neal. 727-734 [doi]
• Performance evaluation of packet radio systems by simulation - a case studyIsrael Gitman, Howard Frank, Richard M. Van Slyke. 737-748 [doi]
• Simulation of a business communication system switching networkJames Yan. 751-757 [doi]
• Use of simulation for examining the effects of guessing upon knowledge assessment on standardized testsJames E. Bruno. 759-765 [doi]
• The Administration Decision Game: A simulation for developing planning skills in educational managersMichael J. Murphy. 767-778 [doi]
• Simulation in higher education planning: Walk before you runNancy Sampson. 781-784 [doi]
• Costing forest residue recovery through simulationLeonard R. Johnson, Edward L. Fisher. 787-792 [doi]
• The Strategic Petroleum Reserve Distribution (SPRED) simulation modelDennis Taillie, John Neidlinger, Joseph Demasco, William T. Begenyi. 795-804 [doi]
• Public utility operation and growth: A system simulation modelThomas D. Clark Jr., William A. Shrode. 807-814 [doi]
• A computer simulation model for examining cogeneration alternativesP. F. Schweizer, R. E. Sieck. 817-826 [doi]
• A Production Analysis Simulation System (PASS)Donald F. Blumberg. 829-840 [doi]
• GASP IV simulation model for the composites and bonding production facilityDarrell W. Starks. 843-848 [doi]
• Controlling for variability in demand for an s, S inventory systemKeith A. Klafehn. 851-855 [doi]
• Huristic search methodology for compound simulationWilliam J. Maddocks. 857-863 [doi]
• A large scale job-shop simulation based on actual operating dataHarold J. Steudel. 865-870 [doi]
• Manpower requirements planning in a chemical maintenance facility: A time-dependent interactive simulationWilliam W. Williams. 873-877 [doi]
• A SAINT model of the AN/TSQ-73 Guided Missle Air Defense SystemDavid B. Wortman, Alonzo F. Hixson III, Charles C. Jorgensen. 879-886 [doi]
• The search for the perfect handicapFrancis Scheid. 889-896 [doi]
• A network modeling and analysis technique for the evaluation of nuclear safeguards systems effectivenessFloyd H. Grant, Robin J. Miner, Dennis Engi. 899-906 [doi]
• Additive vs multiplicative uniform pseudo-random number generators in the generation of Erlang variatesRoger L. Burford. 909-916 [doi]
• The design of a corporate planning system simulatorEdward A. Stohr, Mohan Tanniru. 919-928 [doi]
• An application of simulation for studying the multi-national capital budgeting problemH. A. DiGiulio, R. V. Oakford. 931-942 [doi]
• A computer simulation model for portfolio strategy formulationShyam Sunder. 945-953 [doi]
• Financial simulation model: Assessing project risk at the Port Authority of New York and New JerseyLeo H. Bressman, James J. Browne, Cherrie L. Nanninga, Barry Weintrob. 955-961 [doi]
• The evaluation of alternative profitability measures of leveraged leasing: A simulation approachRobert Capettini, Howard R. Toole. 963-972 [doi]
• The structure of interpersonal rules for meaning and action: A computer simulation of "logical force" in communicationVernon E. Cronen, Eugene E. Kaczka, W. B. Pearce, Mark Pawlik. 975-981 [doi]
• Unrested networks as self-designing systemsBarry Shane. 983-987 [doi]
• Why James G. Miller's "decider" lets simulation harden the "SOFT" biological sciencesG. Arthur Mihram. 989-990 [doi]
• Information systems for transfer of simulation technologyJohn M. Dutton. 995-999 [doi]
• Control concepts in synergistic man-machine information systemsVictor Selman, Charles I. Bartfeld, Jerry Selman, Jesse Gershberg. 1001-1006 [doi]
• Some speculation on simulation and information systemsHenry C. Lucas Jr.. 1009-1011 [doi]
• The allocation of real-time computing within a multiple-user organizationJeffrey H. Moore. 1013-1017 [doi]
• A cost allocation model for assessing the impact of energy storage technologies upon electric utilitiesRichard-Heinrich Giese, Lee Holt, R. Scheithauer. 1019-1029 [doi]
• Simulating the customer purchasing/personal selling process in retailing with a queuing approachR. Dale VonRiesen, Lester W. Jacobs. 1031-1037 [doi]
• The use of simulation in the design of an inventory control systemDonald L. Byrkett. 1039-1044 [doi]