25
IT SYSTEMS FOR ADVANCED OPTIMIZATION Dr.-Ing. Eva Savelsberg, VP Logistics Division Investments into Port Productivity How to do more for less

Eva Savelsberg - Inform GmbH Germany

Embed Size (px)

Citation preview

Page 1: Eva Savelsberg - Inform GmbH Germany

IT SYSTEMS FORADVANCED OPTIMIZATION

Dr.-Ing. Eva Savelsberg, VP Logistics Division

Investments into Port Productivity –

How to do more for less

Page 2: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Why is Investment in Port Productivity important?

Challenges for Maritime Terminals

• Mega-ships create mega headaches

• More cargo is concentrated on a

single ship, leading to peak loads

• Adaptations to infrastructure and

equipment are needed

• Efficient waterside processes need

to go hand in hand with high

performing hinterland systems

Challenges for Inland Terminals

• Higher peak loads across the

entire supply chain network due to

mega ships

• Insufficient terminal and

intermodal infrastructure capacity

to efficiently handle cargo volumes

• Increased network constraints will

affect service and performance

Page 3: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Why is Investment in Port Productivity important?

Maritime Terminals Inland Terminals

Standard

Solutions

• TOS

• (Semi-) Automation

• New handling equipment

• New handling equipment

• More rails, more space

• Additional labour

Advanced

Solutions

• TOS + Optimization

software as add-on

• TOS with built-in Optimization

software

Page 4: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Advanced Optimization

Conventional IT only provide data

and leave the decision up to the user.

Advanced

Optimization

Administrative IT

e.g. ERP/SCM or TOS

Advanced Optimization Software

• have their „own intelligence“

• They propose optimized solutions which

the user may accept, reject or modify.

Technology

• Operations Research

• Fuzzy Logic

• Computational Intelligence

Page 5: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Selected References

Daimler AG

Page 6: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Facts & Figures

• Established in 1969

• Organically growing, no external

investors

• Since 1985 always profitable

• Internal ownership (directors, staff)

• Today more than 550 employees

• Principal corporate objective:

long-term sustainability

Page 7: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Facts & Figures

Installations at

customers

Staff from more

than 30 nations

Headquarters

in Aachen

Page 8: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Data Driven Logistics Decision Making

The Challenges

• Individualization: More & more tasks (orders, deliveries,

transports) have to be coordinated at high speed

• Immediateness: Wise decisions need to be taken

despite permanent, erratic & unplannable market changes

• Big Data: It's not the huge amount of data that is

overwhelming but the huge amount of possible actions

• The Unexpected: Taking complex decisions in a quick,

flexible & situational and adaptable way is key to success

Page 9: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Agile Optimization Software (AOS)

The Management Concept:

• Rapid: flexible & quick response at any time

• Smart: with optimized decision quality

• Interactive: (Human + Computer)2

What’s AOS?

Technology driven management

concept responding to the massive

challenges of today's rapidly

transforming business world.

The Technology Concept:

• Best-of-Breed IT (Add-on)

• Algorithms

• Operations Research

Page 10: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Operations Research (OR)

Powered by OR algorithms,

there are many techniques for greatly

speeding up the search for good solutions

Equipment

• Last/current position

• Job suitability

• Availability & time windows

• Driving times/distances

Load Unit

• Size, type, content,

restrictions

• Departure time &

destination

Yard

• Slot suitability

• Slot restrictions

• Retrieval distance

• Operational areas

Page 11: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Operations Research (OR) – Example

Time to take

a decisionLess than a second

Restriction to

consider100

Yard slots to30.000

choose from

Container

to stack1

Anticipating what the terminal

will look like several moves

ahead of the one you

are about to make

Page 12: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

TOS for Inland Terminals + Optimization

Yard

Management

Train Load Planning

Rail Crane

Optimization

Handling Equipment

Truck/Gate Processing

Administration,

Billing & Reporting

Page 13: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

TOS for Inland Terminals + Optimization

Page 14: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Page 15: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Truck /Gate Benefits

Reduced Turnaround Times

• Optimized selection of transfer points

• Optimized sequence of transfer points

• Standardized gate processes provide yard

managers with the necessary information

in real-time

• The integration of gate automation

technology is also possible

Page 16: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Yard Management Benefits

Tap the full potential

• Efficient utilization of resources and storage areas

• Best possible space utilization

• Higher stacking possible

• Minimized rehandlers

• Scattered stacking terminal wide or within target

areas

Page 17: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Benefits Achieved from Staging Areas

Smoother handling

• Transport chains will be generated by creating

smart links between staging, waiting and storage

areas

• Minimization of waiting times

• The suitability of different equipment types is

considered

• Improved ability to meet deadlines

Page 18: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Benefits to Handling Equipment

Minimized driving distances and times

• Equipment productivity will be increased

thanks to real-time optimization of container

moves

• Reduced time for empty travel and idle

equipment

• Combining jobs where possible

• Pooling of vehicles / dynamic crane split

• The integration of positioning systems and

(semi-) automation is also possible

Page 19: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Benefits to Train Load Planning

Improved on-schedule performance

• Optimization tools support the train

dispatcher in preparing the load plan

• Maximized wagon/slot utilization

• Minimized loading distance and configuration

(pin) changes

• Double stacking

• Handling orders for loading and unloading

trains are updated in real-time and

intelligently assigned to handling resources By Doug Wertman from Rogers, AR, USA (Cajon Intermodal) [CC BY 2.0

(http://creativecommons.org/licenses/by/2.0)], via Wikimedia Commons

Page 20: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

KTL Kombi-Terminal Ludwigshafen (Germany)

Administration & optimization

of bimodal inland terminal:

• Up to 500,000 load units/a

• Yard management

• Train load planning

• Rail crane (RMG), Reach

stacker & terminal tractor

• Multi-step transport order

generation

• Truck schedule© KTL

One of Germany’s largest

Intermodal Rail Terminal

Page 21: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Container Terminal Altenwerden (CTA) – Hamburg

Germany’s largest

Container Rail TerminalPhoto: HHLA / Michael Zapf

Steering & optimization of

train and truck handling:

• 3 M TEU/a

• 500,000 boxes (813,000

TEU) by rail in 2013

• 7 rail tracks of 700 m with

4 RMG (30 trains/d)

• 26 yard blocks

• 12 tractors, 200 chassis

• 2,500 trucks/d

“Handling 500,000 boxes by rail

– this is a great success for us.

[…] At CTA, efficient handling

processes go hand-in-hand with

a high performing hinterland

system”.

Oliver Dux,

Managing Director, CTA

Page 22: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

APM Terminals: Maasvlakte II (Rotterdam)

Rail Crane Optimization:

• Add-on to exiting TOS

• Creates Transport Chains:

ASC + Lift-AGV + Rail

• Selects optimized transfer

points (rack or direct

interchange)

• Optimizes the sequence

of work orders for each

rail crane

“Putting together a terminal like

MVII is the “Champions League”

of container terminal technology”.

Frank Tazelaar,

Managing Director Maasvlakte IIKeynote speech at TOC Europe, 9th June 2015

• Automated facility

• Battery powered lift-AGVs

• Remote crane operators

• Zero CO2 impact

Page 23: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Coming Up: TraPac LLC (Port of Los Angeles)

Optimization of rail crane operations in an semi-

automated terminal:

• 3 new double cantilever rail cranes

• Transfer of containers to and from rail staging area

• Rail car loading remotely from control room

• Interface to existing TOS and new crane system

• First onsite tests: Sept. 2015

• Delivery: early 2016

• Go-live: March 2016

Source: www.trapac.com

Page 24: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Coming Up: Samskip van Dieren Multimodal B.V. (Germany)

Administration & optimization of

multimodal inland terminal:

• Yard slot optimization

• Train load planning & optimization

• Rail crane (RMG) optimization

• Reach stacker & terminal tractor opt.

• Multi-step transport order generation

• Truck schedule optimization

• Replaces existing TOS and interfaces

to existing booking systemSource: www.trapac.com

Source: www.samskipmultimodal.com

Page 25: Eva Savelsberg - Inform GmbH Germany

www.inform-software.com

Want to load more information?

www.inform-software.com

[email protected]