Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation

A Simulation Enhanced VSM Approach for high-Mix Manufacturing Environment

Authors
Yu Quan, Erlend Alfnes, Håvard Gjengstø Brekken, Mats Moen Eide
Corresponding Author
Yu Quan
Available Online November 2016.
DOI
https://doi.org/10.2991/iwama-16.2016.19How to use a DOI?
Keywords
Value stream mapping; high-mix; discrete event simulation
Abstract
As market requirements change, manufacturers are experiencing the transition from low-mix to high-mix production, handling a larger number of product variants to stay competitive and avoiding reduction of system performance. Value stream mapping (VSM) is a preferred method of implementing lean manufacturing principles in various industries with the aim of improving system performance. However, most applications are limited to low-mix environment. This paper combines VSM and discrete event simulation (DES) to model and improve the performance of a high-mix production system. The as-is model based on VSM is verified using current state production data. Accordingly, the simulation result shows the potential of improving system performance by implementing lean manufacturing principles, which provides a reference to the case company.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
6th International Workshop of Advanced Manufacturing and Automation
Part of series
Advances in Economics, Business and Management Research
Publication Date
November 2016
ISBN
978-94-6252-243-5
ISSN
2352-5428
DOI
https://doi.org/10.2991/iwama-16.2016.19How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yu Quan
AU  - Erlend Alfnes
AU  - Håvard Gjengstø Brekken
AU  - Mats Moen Eide
PY  - 2016/11
DA  - 2016/11
TI  - A Simulation Enhanced VSM Approach for high-Mix Manufacturing Environment
BT  - 6th International Workshop of Advanced Manufacturing and Automation
PB  - Atlantis Press
SN  - 2352-5428
UR  - https://doi.org/10.2991/iwama-16.2016.19
DO  - https://doi.org/10.2991/iwama-16.2016.19
ID  - Quan2016/11
ER  -