PRODUCTION LEAD TIME VARIABILITY SIMULATION – INSIGHTS FROM A CASE STUDY

Authors

  • Gandolf R. Finke BWI Center for Industrial Management, ETH Zurich Kreuzplatz 5 / F6, CH-8032 Zurich, Switzerland
  • Mahender Singh Malaysia Institute for Supply Chain Innovation No. 2A, Persiaran Tebar Layar, Seksyen U8, Bukit Jelutong, Shah Alam, 40150 Selangor, Malaysia
  • Paul Schönsleben BWI Center for Industrial Management, ETH Zurich Kreuzplatz 5 / F6, CH-8032 Zurich, Switzerland

DOI:

https://doi.org/10.23055/ijietap.2012.19.5.702

Keywords:

Operations management, Production planning, Simulation, Lead time, Variability, Reliability

Abstract

We study the impact of disruptions to operations that can cause deviations in the individual processing time of a task, resulting in longer than planned production lead time. Quality, availability of capacity and required material as well as variability in process times are regarded as drivers of disruption. The focus is to study the impact of variability in the lead time on the overall performance of the production system, instead of the average lead time. Structural and numerical application of the approach are provided in a case study. Additionally, the different dimensions of practical implications of this research are accentuated. Accordingly, discrete event simulation is used to study the interactions and draw insights based on a case study. Measures to mitigate lead time variability are discussed and their impact is analyzed quantitatively.

Author Biographies

Gandolf R. Finke, BWI Center for Industrial Management, ETH Zurich Kreuzplatz 5 / F6, CH-8032 Zurich, Switzerland

PhD. Candidate, Research Assistant

Mahender Singh, Malaysia Institute for Supply Chain Innovation No. 2A, Persiaran Tebar Layar, Seksyen U8, Bukit Jelutong, Shah Alam, 40150 Selangor, Malaysia

Director at the Malaysia Institute for Supply Chain Innovation

Paul Schönsleben, BWI Center for Industrial Management, ETH Zurich Kreuzplatz 5 / F6, CH-8032 Zurich, Switzerland

Professor for Industrial Engineering and Management

Published

2012-12-03

How to Cite

Finke, G. R., Singh, M., & Schönsleben, P. (2012). PRODUCTION LEAD TIME VARIABILITY SIMULATION – INSIGHTS FROM A CASE STUDY. International Journal of Industrial Engineering: Theory, Applications and Practice, 19(5). https://doi.org/10.23055/ijietap.2012.19.5.702

Issue

Section

Modelling and Simulation