Toward the ideal of automating production optimization
Paper i proceeding, 2013

The advent of improved factory data collection offers a prime opportunity to continuously study and optimize factory operations. Although manufacturing optimization tools can be considered mainstream technology, most U.S. manufacturers do not take full advantage of such technology because of the time-intensive procedures required to manually develop models, deal with factory data acquisition problems, and resolve the incompatibility of factory and optimization data representations. Therefore, automated data acquisition, automated generation of production models, and the automated integration of data into the production models are required for any optimization analysis to be timely and cost effective. In this paper, we develop a system methodology and software framework for the optimization of production systems in a more efficient manner towards the goal of fully automated optimization. The case study of an automotive casting operation shows that a highly integrated approach enables the modeling and simulation of the complex casting operation in a responsive, cost-effective and exacting nature. Technology gaps and interim strategies will be discussed. Copyright © 2013 by ASME.

CMSD

Discrete event simulation

Key performance indicators

Optimization

Modeling

Automation

Författare

John Michaloski

National Institute of Standards and Technology (NIST)

Frederick Proctor

National Institute of Standards and Technology (NIST)

J.F. Arinez

General Motors

Jonatan Berglund

Chalmers, Produkt- och produktionsutveckling, Produktionssystem

ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)

Vol. 2 A
978-079185618-5 (ISBN)

Ämneskategorier

Maskinteknik

Robotteknik och automation

DOI

10.1115/IMECE2013-63546

ISBN

978-079185618-5

Mer information

Skapat

2017-10-08