BY MARK B. SOLOMON, EXECUTIVE EDITOR–NEWS
MARITIME/PORTS
transportationreport
NOT LONG AGO, A GROUP OF DATA-LOVING
“quants” at Danish container shipping giant Maersk Line,
the largest operating unit of A.P. Moeller-Maersk A/S, spent
a week with the liner’s operations folks. The goal: to crunch
massive volumes of data in an effort to boost the utilization
of Maersk equipment, which transports the equivalent of 15
percent of the world’s gross domestic product (GDP).
Consistent with data people’s desire to work untethered
from the rest of the organization, the quants—or quantitative analysts—asked that the operations executives restrict
their data center visits to only twice a day. That request
went unheeded, however. According to Jan Voetmann,
director and head of engagement for Maersk Analytics, the
operations people became so intrigued by what the data
unearthed that they hung out with the quants for virtually
the entire week.
For example, Maersk discovered that an empty container
had sailed on five consecutive voyages. In another case, an
empty box went back and forth 20 times on 10 sailings. To
be sure, both episodes are insignificant in the grand scheme
of the world’s largest container network (by capacity). But
where there’s smoke, there may be fire. Maersk spends about
US$1 billion a year just to move empty containers around its
network, according to Voetmann. That doesn’t include the
costs incurred in tracking the boxes, he said. By seeing deep-
er into their global operations than they ever have before,
Maersk executives can forecast equipment movements two
months out instead of in the traditional four-week window,
thus reducing the frequency of empty moves and enabling
them to better match equipment with cargo, Voetmann said.
Welcome to the world of “big data”—seafaring style. The
term—believed to have been the brainchild of an astute
marketer—is technically defined as the aggregation and
blending of “structured” data on traditional platforms
like electronic data interchange (EDI), enterprise resource
planning (ERP) systems, and extensible markup language
(XML), with “unstructured” data, or information flowing
outside the normal channels. The holy grail is to present
Big data, analytics could
be a welcome tonic for
the beleaguered liner
shipping trade
Advanced analytical tools are driving major efficiencies in an industry that badly needs them.