Automotive supply chain logistics: container demand planning using Monte Carlo simulation

Florian Klug

International Journal of Automotive Technology and Management, 2011, vol. 11, issue 3, 254-268

Abstract: Car manufacturers are continuously examining ways to reduce logistics costs combined with higher performance in inbound delivery. The increasingly important role of packaging in the efficient and effective operation of multi-site car manufacturing needs to develop a planning model of container demand that better fulfils the prerequisites posed by dynamic supply chains in automotive industry. The paper analyses critical issues in container demand planning of the product development phase of a new car model before start of production. A quantitative methodology with Monte Carlo simulations is used to incorporate the uncertainty of valuation parameters. The research is based on real case study data of European auto industry in a multi-tier inbound transport network. The proposed methodology contributes to the current demand for computational support for logistics planning. In addition, it may reveal potential weakness in standard approaches for container demand planning.

Keywords: automotive supply chains; supply chain planning; totes investment; Monte Carlo simulation; container demand; inbound delivery; packaging; transport networks; logistics planning; supply chain management; SCM; automobile industry; product development; new car models; modelling. (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=40871 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijatma:v:11:y:2011:i:3:p:254-268

Access Statistics for this article

More articles in International Journal of Automotive Technology and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().