LOGISTIC S & SUPPLY CHAIN MANAGEMENT
178
and hence less inventory in total. Secondly, because the inventory is generic, its
flexibility is greater, meaning that the same components, modules or platforms
can be embodied in a variety of end products. Thirdly, forecasting is easier at the
generic level than at the level of the finished item. This last point is particularly rel-
evant in global markets where local forecasts will be less accurate than a forecast
for worldwide volume. Furthermore the ability to customise products locally means
that a higher level of variety may be offered at lower total cost – this is the principle
of ‘mass customisation’.
To take full advantage of the possibilities offered by postponement often
requires a design for localisation’ philosophy. Products and processes must be
designed and engineered in such a way that semi-finished product can be assem-
bled, configured and finished to provide the highest level of variety to customers
based upon the smallest number of standard modules or components. In many
cases the final finishing will take place in the local market, perhaps at a distribution
centre, and, increasingly, the physical activity outsourced to a third-party logistics
service provider.
Gaining visibility in the global pipeline
One of the features of global pipelines is that there is often a higher level of uncer-
tainty about the status of a shipment whilst in transit. This uncertainty is made
worse by the many stages in a typical global pipeline as a product flows from fac-
tory to port, from the port to its country of destination, through customs clearance
and so on until it finally reaches the point where it is required. Not surprisingly there
is a high degree of variation in these extended pipelines.
Shipping, consolidation and customs clearance all contribute to delays and var-
iability in the end-to-end lead time of global supply chains. This is highlighted in
the example shown in Table 9.1. This can be a major issue for companies as they
increasingly go global. It has the consequence that local managers tend to com-
pensate for this unreliability by over-ordering and by building inventory buffers.
Table 9.1 End-to-end lead-time variability (days)
From
point of
origin
to port
Freight
forwarding/
consolidation
Arrive in
country of
destination
Customs
clearance
Transit to
point of
use
Total
elapsed
time
Maximum 5 7 15 5 5 37
Average 4 3 14 2 4 32
Minimum 1 1 12 1 2 17
One emerging tool that could greatly improve the visibility across complex global
supply chains is supply chain event management.

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