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Extending supply chain synchronisation to upstream tiers: a collaborative approach illustrated with an automotive case study

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  • Julian Coleman

Abstract

This paper describes a set of guiding principles designed to help supply chain practitioners define inventory and ordering policies collaboratively. An automotive case study illustrates the approach, which requires supplying and buying firms to model their supply chains together. The target is to optimise the chain by maximising the extent to which supply chain processes are synchronised to end customers' demand. The theoretical optimum synchronisation for any chain would be a 'sequenced one-piece flow'. This is often achieved between the Original Equipment Manufacturer (OEM) and Tier 1 through arrangements with co-located 'sequenced suppliers'. However, factors such as decreased proximity and uncertain demand means that this high level of synchronisation rarely extends beyond Tier 1. Therefore synchronisation applies to a relatively low percentage of value-added in the chain. The approach put forward in this paper gives a way to extend the principal of synchronisation upstream, defining the zones of synchronisation (delineated by the 'sequence boundary' and 'synchronisation boundary') that are both possible and beneficial. The findings from the case study show that adopting the guidelines would offer the opportunity to increase synchronisation significantly, thereby reducing inventory and supply chain cycle time.

Suggested Citation

  • Julian Coleman, 2010. "Extending supply chain synchronisation to upstream tiers: a collaborative approach illustrated with an automotive case study," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 7(2/3), pages 257-271.
  • Handle: RePEc:ids:ijnvor:v:7:y:2010:i:2/3:p:257-271
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    Cited by:

    1. Ciancimino, Elena & Cannella, Salvatore & Bruccoleri, Manfredi & Framinan, Jose M., 2012. "On the Bullwhip Avoidance Phase: The Synchronised Supply Chain," European Journal of Operational Research, Elsevier, vol. 221(1), pages 49-63.

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