Making better manufacturing decisions with AIM
Pages 485 - 491
Abstract
FACTOR/AIM (AIM) is a simulation system designed specifically for use in manufacturing decision support. AIM has been successfully applied to engineering design, scheduling, and planning problems within numerous manufacturing organizations. Unlike language-based simulation products which require you to learn specific syntax and then abstract your system to fit this syntax, AIM uses the language of manufacturing. Example AIM components include machines, operators, materials, parts, jobsteps, process plans (routings), and conveyors. In addition, a comprehensive set of pre-defined manufacturing rules is available to you. Using AIM you can quickly and accurately build a model of any manufacturing process on your PC. Spending less time on modeling means more time to use the model to help you make decisions to improve your manufacturing operations. This paper provides an introduction to AIM including AIM modeling constructs, the use of AIM for capacity engineering, planning and scheduling, and costing with AIM.
References
[1]
Gram, Floyd H. (1987), Scheduling and Loading Techniques. Production and inventory Control Handbook, Second Edition, Green, J. H., Ed., American Production & Inventory Control Society.
[2]
Grant, Floyd H. (1986), Production Scheduling Using Simulation Technology, A dvanced Manufacturing Systems Conference, IFC (Conferenced) Ltd., 129- 138.
[3]
FACTOR AIM Modeling Reference (1995), Pritsker Corporation, West Lafayette, IN.
[4]
FACTOR AIM Output Analysis Reference (1996), Pritsker Corporation, West Lafayette, IN.
[5]
FACTOR AIM Database Tailoring Guide (1996), Pritsker Corporation, West Lafayette, IN.
[6]
FACTOR AIM Cost Modeling Guide (1995), Pritsker Corporation West Lafayette, IN.
[7]
FACTOR AIM GANTT Charts User's Guide (1995), Pritsker Corporation West Lafayette, IN.
[8]
MacFarland, D. G. and F. H. Grant (1987), "Shop Floor scheduling and Control using Simulation Technology," Shop Control '87, Cincinnati, OH.
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Published In
November 1996
1527 pages
ISBN:0780333837
Sponsors
- IIE: Institute of Industrial Engineers
- INFORMS/CS: Computer Science TC
- IEEE-SMCS: Systems, Man & Cybernetics Society
- ASA: American Statistical Association
- ACM: Association for Computing Machinery
- SCS: Society for Computer Simulation
- SIGSIM: ACM Special Interest Group on Simulation and Modeling
- IEEE-CS: Computer Society
- NIST: National Institute of Standards & Technology
Publisher
IEEE Computer Society
United States
Publication History
Published: 08 November 1996
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WSC '96 Paper Acceptance Rate 128 of 187 submissions, 68%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%
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