Upload
arl-shippingcom
View
770
Download
3
Embed Size (px)
Citation preview
IT solutions for tomorrow’s shipping
RTG Deployment Optimization
RTG Deployment Optimization
October 2009
IT solutions for tomorrow’s shipping
Optimization :: Overview
Computer Software
Cut costs
Raise productivi
ty
IT solutions for tomorrow’s shipping
Optimization ToolsSpecial Planning Tools
Planning Tools
Terminal Operating System
What if? What is the best way to do it?
Optimization :: Ports and Terminals
What is going on? What is the current situation?
What will happen next?
IT solutions for tomorrow’s shipping
What will happen?
What if?
Best way?
RTG :: Issues
Can you use less RTG?
How many RTG will you need for the next shift? Where and when to expect bottlenecks?
Where and when to send RTGs to cover all planned moves?
How to avoid delays? How to secure minimum driving distances and time?
IT solutions for tomorrow’s shipping
RTG :: Using TOS data
MovesLocationsTimeYard geometryRTG
How many RTG will you need for the next shift?
IT solutions for tomorrow’s shipping
RTG :: Using TOS Data
Moves Locations Time Yard geometry RTG
Driving Rules
Math Optimization
Algorithm
NiL
BP
NiL
P
VwhereNijNiSLL
PP
,P, BDY, BDX, BLY, BLX, DL40, DL20,CL40CL20
ii
ii
jiji
ji
N
iiiiiiiiii
,1,2
)4(
,1,2
)3(
,1;,1,1,1;2
)2(
min)Mileage()1(
,
1
IT solutions for tomorrow’s shipping
RTG :: Visual Planning
Locates the most suitable RTG for each planned move
Minimizes RTG driving distances and time, maximizes number of moves per hour
Forecasts possible bottlenecks and yard clashes
IT solutions for tomorrow’s shipping
RTG :: Optimization Benefits
Effective planning Less RTG deployed Higher productivity
Less bottlenecks Less staff needed
Results
IT solutions for tomorrow’s shipping
Contacts
René BendtMobile: +45 2032 3289Email: [email protected]
Evgeny DrokovMobile: +31 641 348080Email: [email protected]
arl-shipping.com
Unit M8, Mezzanine FloorNew Henry House,10 Ice House StreetCentral, Hong Kong