Push–Button Discrete Event Simulation for Analysis of Factory Floor Operations
Paper in proceeding, 2010

In manufacturing, Discrete Event Simulation (DES) can be effectively used to model production and provide sustainability analysis of equipment and system operation by measuring throughput, capacity, and bottlenecks. DES allows analysis under different scenarios and conditions that can then be used to forecast more optimal system performance. For discrete parts production, DES is rarely used because of the difficulty in attaining timely and accurate statistical modeling of the equipment and process operation. In this paper we look at the use of the plant floor interoperability standard, MTConnect, as a means to improve the access to machine tool data. Given data access, we develop a Finite State Model in order to streamline Machine Tool and DES integration. A case study of a prototype Capacity Planning system using DES as a modeling back–end will be described to help in understanding resource allocation of shop floor machines to a batch of aerospace parts. Direct machine tool statistical parameterization into a Web–based DES leads to “Push–button” automated simulations.

Author

John Michaloski

National Institute of Standards and Technology (NIST)

Benjamin Raverdy

National Institute of Standards and Technology (NIST)

B.E. Lee

National Institute of Standards and Technology (NIST)

Frederick Proctor

National Institute of Standards and Technology (NIST)

Nils Bengtsson

Chalmers, Product and Production Development, Production Systems

S Venkatesh

Production Modeling Corporation

Anders Skoogh

Chalmers, Product and Production Development, Production Systems

ASME 2010 International Mechanical Engineering Congress and Exposition, IMECE 2010; Vancouver, BC; Canada; 12 November 2010 through 18 November 2010

Vol. 3 PARTS A AND B 313-319
978-079184427-4 (ISBN)

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Other Mechanical Engineering

Areas of Advance

Production

DOI

10.1115/IMECE2010-39147

ISBN

978-079184427-4

More information

Created

10/7/2017