Simulation Data Architecture for Sustainable Development
Paper in proceedings, 2010

Reducing costs, improving quality, shortening the time-to-market, and at the same time act and think sus-tainable are major challenges for manufacturing industries. To strive towards these objectives, discrete event simulation (DES) has proven to be an effective tool for production system decision support. Large companies continuously log raw data, and are therefore able to collect large quantities of re-source event information. However, usually it is difficult to reuse data for future DES projects. Thus, the aim of this paper is to describe how to facilitate data sharing between data sources and DES models. A test implementation of a simulation data architecture has been realized. A data processing tool, a database and an interface were created, which provide reusable resource event data to pave the way for sustainable resource information in DES projects. The entirety data exchange is provided by standard XML documents following the latest Core Manufacturing Simulation Data recommendations.

databases

discrete event simulation

simulation data architecture

core manufacturing simulation data

sustainable manufacturing

sustainable development

Author

Adrien Boulonne

Chalmers, Product and Production Development, Production Systems

Björn Johansson

Chalmers, Product and Production Development, Production Systems

Anders Skoogh

Chalmers, Product and Production Development, Production Systems

Mark Aufenanger

Proceedings of the 2010 Winter Simulation Conference

Vol. 42 3435-3446

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Other Computer and Information Science

Other Environmental Engineering

Driving Forces

Sustainable development

Areas of Advance

Production

ISBN

978-1-4244-9864-2

More information

Created

10/7/2017