A trend in modern supply chain management has been to substitute information for inventory. In this chapter, an approach to how information and communication technology can be used to achieve this in a maritime logistics context is outlined and described based upon a bulk shipping case.
The approach used is based on data-driven modeling and analysis, in which current logistics and commodity storage costs are benchmarked against a “best possible solution.”
To make a new solution operative, a change should be made based upon an analytical decision-making approach, ICT infrastructure development, and inter-organizational development. Thus, the proper use of analytical and transactional information and communication technology in maritime logistics would enable logistics chain stakeholders to track stock levels and ultimately allocate vessels to move cargo when that is logistically most cost effective. Further, this could support a development in the contractual relationships between producer and shipping line changing from a Contract of Affreightment to a Service Level Agreement relationship.
There is room for enhanced use of information and communication technology to provide decision and operational support at strategic, tactical, and operational levels within maritime logistics. This chapter explains some of the driving forces for this, together with a tested approach and method for this, given into a specific, practical case.
This chapter has drawn upon experiences gained from a set of research projects within maritime logistics at the Norwegian Marine Technology Research Institute in which senior researcher Arent Arntzen played a key role. The projects were financially supported by both the Norwegian Research Council and the Norwegian Shipowners’ Association.
Asbjørnslett, B.E., Lindstad, H. and Pedersen, J.T. (2012), "Information Technology in Maritime Logistics Management: A Case-Based Approach from CoA to SLA", Song, D.-W. and Panayides, P.M. (Ed.) Maritime Logistics, Emerald Group Publishing Limited, Bingley, pp. 133-154. https://doi.org/10.1108/9781780523415-008
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