Advanced tutorial—simulation-based scheduling and control

Authors:
Jeffrey S. Smith;Brett A. Peters;James Curry;Glenn R. Drake;Cynthia LaJimodiere
Affiliations:
Department of Industrial Engineering, Texas A&M University, College Station, Texas;Department of Industrial Engineering, Texas A&M University, College Station, Texas;Department of Industrial Engineering, Texas A&M University, College Station, Texas;Systems Modeling Corporation, 504 Beaver Street, Sewickley, Pennsylvania;Department of Industrial Engineering, Texas A&M University, College Station, Texas
Venue:
WSC '96 Proceedings of the 28th conference on Winter simulation
Year:
1996

Citing 7
Cited 4

Discrete event simulation for shop floor control

WSC '94 Proceedings of the 26th conference on Winter simulation
Simulation as a planning and scheduling tool for flexible manufacturing systems

WSC '95 Proceedings of the 27th conference on Winter simulation
Using query-driven simulations for querying outcomes of business processes

Decision Support Systems
A decision support system for production activity control

Decision Support Systems
Simulation system for real-time planning, scheduling, and control

WSC '96 Proceedings of the 28th conference on Winter simulation
Modeling manufacturing systems: an information-based approach

ANSS '91 Proceedings of the 24th annual symposium on Simulation
Simulation, animation, and shop-floor control

WSC '87 Proceedings of the 19th conference on Winter simulation

A simulation-based controller for distributed discrete-event systems with application to flexible manufacturing

Proceedings of the 29th conference on Winter simulation
Initializing on-line simulations from the state of a distributed system

Proceedings of the 30th conference on Winter simulation
Discrete-event simulation for the design and evaluation of physical protection systems

Proceedings of the 30th conference on Winter simulation
Database driven factory simulation: a proof-of-concept demonstrator

Proceedings of the 33nd conference on Winter simulation

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a simulation control system developed by the Texas A&M Computer Aided Manufacturing Laboratory (TAMCAM). This control system is a research tool that TAMCAM uses to explore the advantages and disadvantages of on-line simulation for process control. The simulation control system is developed directly from information about the shop floor stored in a relational database. Processing times and fallout rates are also estimated directly from external data sources. The system is implemented in Arena, Microsoft Access, and Microsoft Visual C++. The advanced tutorial will demonstrate the software tools described in this paper.