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ADVANCE

Project reference: 257398
Funded under: FP7-ICT

Advanced predictive-analysis-based decision-support engine for logistics [Print to PDF] [Print to RTF]

From 2010-10-01 to 2013-09-30

Project details

Total cost:

EUR 3 166 908

EU contribution:

EUR 1 980 000

Coordinated in:

Hungary

Call for proposal:

FP7-ICT-2009-5

Funding scheme:

CP - Collaborative project (generic)

Enabling strategic planning coupled with instant decision making to provide vision in a blizzard of data

Logistics networks accumulate OVER 1 BILLION new items of information per month (customer orders, pallet-vehicle movement, GPS data, postcodes, depot data, etc.), generated every minute of each day by thousands of pallets travelling on hundreds of trailers for more than one million customers under hundreds of thousands of postcodes, each with multiple different service requirements. Patterns and dependencies in 50 million or more data elements can only be analysed by intelligent data-mining approaches linked to strategic decision making based on longer term analyses of billions of pieces of information.

ADVANCE will develop an innovative predictive-analysis-based decision support platform for novel competitive strategies in logistics operations. It will provide a dual perspective on transport requirements and decision making dependent on the latest snapshot information and the best higher-level intelligence. Our software framework will be available open-source, as this way, low initial investment will encourage also smaller enterprises to exploit the solution. Also, previously unidentified needs will receive better coverage as development can proceed in close collaboration with the users.

Objective

Logistics networks accumulate OVER 1 BILLION new items of information per month (customer orders, pallet-vehicle movement, GPS data, postcodes, depot data, etc.), generated every minute of each day by thousands of pallets travelling on hundreds of trailers for more than one million customers under hundreds of thousands of postcodes, each with multiple different service requirements. Patterns and dependencies in 50 million or more data elements can only be analysed by intelligent data-mining approaches linked to strategic decision making based on longer term analyses of billions of pieces of information.ADVANCE will develop an innovative predictive-analysis-based decision support platform for novel competitive strategies in logistics operations.The ADVANCE software will have the capacity to both analyse massive data sets for long term planning, and rapidly process huge amounts of new data in real time. It will provide a dual perspective on transport requirements and decision making dependent on the latest snapshot information and the best higher-level intelligence.We will employ data mining, machine learning and optimisation techniques (heuristics, ant colony optimisation, evolutionary algorithms) to aggregate structured but locally confined data, and extract actionable information to improve local dispatching decisions (deadheading minimisation, early detection of missed due-dates, forecast of expected partnership modification, etc.). As a key to incorporating appropriate end-user perspectives and enabling users to interpret and assess automatically suggested decisions, ADVANCE will integrate human expertise (through cognitive modelling; Bayesian belief networks) with data mining algorithms and distributed data mining in particular.Industrial implementations will have a networked enterprise group as main piloting partner, involving three different operational and decision levels, and including multiple independent companies on the local distribution levels.

Related information

Coordinator

MAGYAR TUDOMANYOS AKADEMIA SZAMITASTECHNIKAI ES AUTOMATIZALASI KUTATOINTEZET
Hungary
Kende utca 13-17
BUDAPEST, Hungary
Administrative contact: Elisabeth Ilie-Zudor
Tel.: +3612796195
Fax: +3614667503
E-mail

Participants

TECHNOLOGY TRANSFER SYSTEM S.R.L.
Italy
Largo Caleotto
LECCO, Italy
Administrative contact: Marzio Sorlini
Tel.: +393384471233
Fax: +39022367030
E-mail
RIJKSUNIVERSITEIT GRONINGEN
Netherlands
Broerstraat
GRONINGEN, Netherlands
Administrative contact: Fred van Blommestein
Tel.: +31 651 353 709
Fax: +31 50 363 2275
E-mail
PALLETWAYS (UK) LIMITED
United Kingdom
WOOD END LANE FRADLEY PARK
LICHFIELD, United Kingdom
Administrative contact: Thomas Olsson
Tel.: +44 7939 135016
Fax: +44 1543 418111
E-mail
ASTON UNIVERSITY
United Kingdom
ASTON TRIANGLE
BIRMINGHAM, United Kingdom
Administrative contact: Aniko Ekart
Tel.: +00441212043456
Fax: +00441212044240
E-mail
Record Number: 95554 / Last updated on: 2014-11-10