Framework and Indicators for a Sustainable Manufacturing Mapping Methodology

Abstract

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.

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