RTG Deployment Optimization October 2009

RTG Deployment Optimization

Optimization :: Overview Computer Software Cut costs Raise productivity

Optimization :: Ports and Terminals Optimization Tools Special Planning Tools Planning Tools Terminal Operating System What if? What is the best way to do it? What is going on? What is the current situation? What will happen next?

RTG :: Issues What will happen? What if? Best way? 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?

RTG :: Using TOS data Moves Locations Time Yard geometry RTG How many RTG will you need for the next shift?

Moves

Locations

Time

Yard geometry

RTG

RTG :: Quantity Forecast

RTG :: Using TOS Data Moves Locations Time Yard geometry RTG Driving Rules Math Optimization Algorithm

Moves

Locations

Time

Yard geometry

RTG

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

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

RTG :: Optimizing

RTG :: Optimizing

RTG :: Optimization Benefits Effective planning Less RTG deployed Higher productivity Less bottlenecks Less staff needed Results

RTG Dispatcher RTG Deployer Conclusion :: Tools

Contacts Ren é Bendt Mobile: +45 2032 3289 Email: [email_address] Evgeny Drokov Mobile: +31 641 348080 Email: [email_address] arl-shipping.com Unit M8, Mezzanine Floor New Henry House, 10 Ice House Street Central, Hong Kong

Ren é Bendt

Mobile: +45 2032 3289

Email: [email_address]

Evgeny Drokov

Mobile: +31 641 348080

Email: [email_address]