You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)

  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)

  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required

  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

CHALLENGES OF DATA ACQUISITION FOR SIMULATION MODELS OF PRODUCTION SYSTEMS IN NEED OF STANDARDS

Fulltext:


Authors:


Publication Type:

Conference/Workshop Paper

Venue:

Winter Simulation Conference


Abstract

In this paper, we analyze the challenges in data acquisition for simulation models of production systems based on two cases from the robotics and aerospace industries. Unlike prior research, we focus not only on the challenges of data acquisition but also on how these challenges affect decisions in production systems. We examine this linkage using the concepts of strategic objectives, decision areas, and internal fit from operations management literature. Empirical findings show that for data acquisition to lead to improved production system performance it is necessary to develop standards. Standards should consider ownership of data by different functions within a manufacturing company, alignment of data to performance measurements, and the connection between data, information, and production decisions. Using these concepts, this paper proposes a set of guidelines that facilitate the standardization of data acquisition for simulation models in production systems. We conclude by discussing the managerial implications of our findings.

Bibtex

@inproceedings{Flores-Garcia5332,
author = {Erik Flores-Garc{\'\i}a and Jessica Bruch and Bj{\"o}rn Johansson},
title = {CHALLENGES OF DATA ACQUISITION FOR SIMULATION MODELS OF PRODUCTION SYSTEMS IN NEED OF STANDARDS},
month = {December},
year = {2018},
booktitle = {Winter Simulation Conference},
url = {http://www.ipr.mdu.se/publications/5332-}
}