Modelling complexity in the automotive industry supply chain

Geoff Williams

47 citations0/0 files storedJournal of Manufacturing Technology Management

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Supply Chain and Inventory Management Quality and Supply Management Supply Chain Resilience and Risk Management

Abstract

Purpose In most countries the distribution system for new cars has remained unchanged for many years, with the main emphasis on supplying customers from stock held at dealers. Despite high stocks, the performance of the supply chain has failed to meet customer expectations in terms of delivering the exact specification desired within an acceptable timescale. This paper investigates changes to the design of the supply chain which potentially offer significant improvements in performance. Design/methodology/approach A simulation of the supply of new cars, from ordering through the assembly plant and finished vehicle stocking to customer delivery, has been used to develop further understanding of the dynamic performance of the supply chain. The application of the simulation model is demonstrated through scenarios drawn from research into the UK car market. Findings The findings demonstrate the benefits of central stocking (storing new cars in distribution centres, rather than at dealers) for both manufactures and customers, supported by recent industry data. Research limitations/implications The results presented are based on a representative vehicle model manufactured and sold in the UK; a range of alternative scenarios and changes to the supply chain design can be investigated using the simulation model. Practical implications For the automotive industry, the research supports the introduction of central stocking, and demonstrates a methodology for assessing future changes to the supply chain. Originality/value The research extends the range of applications of simulation to investigating supply chain design, and demonstrates the feasibility of this approach in modelling complex supply chains.

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References

2012Industrial Dynamics: A Major Breakthrough for Decision Makers 2000The Agile Supply Chain 2002Designing and Managing the Supply Chain 1999Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain 2001An integrated model for the design of agile supply chains 2014Simulation: The Practice of Model Development and Use 2000Supply chain migration from lean and functional to agile and customised 1979Note—Effects of Centralization on Expected Costs in a Multi-Location Newsboy Problem

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