Simulation based Manufacturing System Improvement focusing on Capacity and MRP Decisions - A Practical Case from Mechanical Engineering

Andreas Josef Peirleitner, Klaus Altendorfer, Thomas Felberbauer

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

6 Citations (Scopus)

Abstract

In this paper a practical case from an Austrian mechanical engineering company is presented. Simulation based manufacturing system improvement is applied to their component manufacturing plant. Based on the high number of items in the real case, a method for reduction of simulation model complexity applying item aggregation is developed in this paper. In the first improvement step, strategic capacity investment decisions are supported with the use of simulation. In the second step, a MRP planning parameter optimization is performed to improve service level and inventory. Additionally, the effect of capacity related decisions concerning setup time reduction and load-dependent outsourcing is evaluated. The results of this simulation study show that service level and inventory can be significantly improved by optimization of planning parameters and reduction of setup times. In addition, the study shows that load-dependent outsourcing is a viable alternative to capacity investment.

Original languageEnglish
Title of host publication2017 Winter Simulation Conference, WSC 2017
EditorsVictor Chan
Pages3876-3887
Number of pages12
ISBN (Electronic)9781538634288
DOIs
Publication statusPublished - 28 Jun 2017
Event2017 Winter Simulation Conference - Las Vegas, Nevada, United States
Duration: 3 Dec 20176 Dec 2017

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736

Conference

Conference2017 Winter Simulation Conference
Country/TerritoryUnited States
CityLas Vegas, Nevada
Period03.12.201706.12.2017

Fingerprint

Dive into the research topics of 'Simulation based Manufacturing System Improvement focusing on Capacity and MRP Decisions - A Practical Case from Mechanical Engineering'. Together they form a unique fingerprint.

Cite this