Innovative management of logistics and supply chains: the hard times
Hosein Piranfar
International Journal of Business Performance and Supply Chain Modelling, 2009, vol. 1, issue 2/3, 240-255
Abstract:
Logistics and supply chains are under pressure to adapt to volatility in fuel prices and uncertainty generated by globalisation and falling demand due to the current recession. A number of European managers were asked to discuss their supply chains and logistics to see whether they were adapting to these pressures. The intention was to discover a hint of adaptive learning and innovation in their activities. They responded by citing examples from their experience that are categorised in a table. Overall, their response ranged from re-inventing the inventory to route optimisation and reversing the erstwhile emphasis on outsourcing. Dealing with the rising cost of logistics was more intense and revealed relatively more learning and innovative measures. Regarding supply chains, the participants were less excited, but argued that successful logistics depended on successful supply chains which required learning and cooperation. This paper intends to classify and analyse these views using practical examples from the participants' supply chain activities.
Keywords: logistics management; flexibility; relationships; supply chain management; SCM; innovation; adaptive learning; supply chain cooperation. (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.inderscience.com/link.php?id=30644 (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:ijbpsc:v:1:y:2009:i:2/3:p:240-255
Access Statistics for this article
More articles in International Journal of Business Performance and Supply Chain Modelling from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().