ACM Home Page
Please provide us with feedback. Feedback
Promodel: simulation modeling using promodel technology
Full text PdfPdf (256 KB)
Source Winter Simulation Conference archive
Proceedings of the 34th conference on Winter simulation: exploring new frontiers table of contents
San Diego, California
SESSION: Software/modelware tutorials a table of contents
Pages: 192 - 198  
Year of Publication: 2002
ISBN:0-7803-7615-3
Authors
Charles R. Harrell  Brigham Young University, Provo, UT
Rochelle N. Price  PROMODEL Corporation, Orem, UT
Sponsors
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
ASA : American Statistical Association
IEEE/SMCS : Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
INFORMS/CS : Institute for Operations Research and the Management Sciences/College on Simulation
NIST : National Institute of Standards and Technology
ACM: Association for Computing Machinery
(SCS) : The Society for Modeling and Simulation International
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
Publisher
Winter Simulation Conference 
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 19,   Citation Count: 1
Additional Information:

abstract   cited by   collaborative colleagues  

Tools and Actions: Review this Article  

ABSTRACT

PROMODEL's simulation modeling products are powerful yet easy-to-use simulation tools for modeling all types of systems and processes. ProModel<sup>®</sup> is designed to model manufacturing systems ranging from small job shops and machining cells to large mass production, flexible manufacturing systems, and supply chain systems. Other simulation products available from PROMODEL Corporation include MedModel<sup>®</sup>, ServiceModel<sup>®</sup>, Innovate<sup>TM</sup>, and ProModel PI<sup>TM</sup> (for process improvement). PROMODEL products are Windows based applications with intuitive graphical interfaces and object-oriented modeling constructs, eliminating the need for programming. They combine the flexibility of a general-purpose simulation language with the convenience of data-driven simulators. This paper provides an overview of ProModel and presents its modeling, analysis, and optimization capabilities.


Collaborative Colleagues:
Charles R. Harrell: colleagues
Rochelle N. Price: colleagues