SlideShare a Scribd company logo
1 of 50
Download to read offline
SmartCrane, LLC
Automated Container Terminals
       What Works + Why
               or
            Why Not
              Port & Terminal Technology
         International Conference & Exhibition
              Houston, TX 12-13 April0 2011
Dr. Joseph H. Discenza, Automated Terminal Systems (ATS)


                                           SmartCrane, LLC
Container Terminal Design
     State of the Art
• Too  Fragile
• Too Complex
• Too Expensive
• Too Slow
• Decreasing Cost - Benefit Ratios
• New Facility Designs Repeat the Errors of the
  Past



                                       SmartCrane, LLC
Container Terminals Exhibit
Mature Industry Syndrome
     $s Spent     % Improvement




                        SmartCrane, LLC
Container Terminals Exhibit
  Mature Industry Syndrome
           $s Spent                 % Improvement

1,000


 750


 500


 250


   0
    1965   1975       1985   1995    2005         2015

                                            SmartCrane, LLC
Why?

• Terminal   Operations were Sub-Optimal in the First Instance
 • Accretion    of Methods and Subsystems
 • Lack    of Integration
 • Piecemeal     Solutions
• Keeping    those Practices in Place only Embeds them Even
 Further


                                               SmartCrane, LLC
Examples

• Response    to Larger Ships
 • Add   Ship-to-Shore Cranes
• Continue to Use High Maintenance Equipment Not
 Suited to Automation; e.g., Strads + RTGs
 • Add  GPS, MDTs, DGPS and Associated Support
   Infrastructure
• Further   Elaboration of Existing Expert Systems


                                              SmartCrane, LLC
Expert Systems
• Work WellOn Discrete Problems in a Simple Ordered
 Environment [Heuristic]
• Not
    so Good On Complex Large Problems in a Highly
 Randomized Environment [Stochastic]
• Container Terminal   Management is:
 • Complex
 • Stochastic



                                        SmartCrane, LLC
What Does Work
• The
    Industry has Recognized the Need to Employ Larger
 More Robust Equipment - Rail Mounted Gantry Cranes
 [RMGs]
• Simplify   Facility Layouts
• Adopta more "Factory-Like" Approach to Processing
 Containers
• All   - Electric Designs



                                         SmartCrane, LLC
Two Emerging Models

• CY   Stacks Arranged Perpendicular to the Quay "End-Loaded"
 • HHLA     - CTA - Altenwerder
 • APMT     - Portsmouth
 • EuroMax    - Rotterdam
 • ZPMC     - Shanghai Prototype
• CY   Stacks Arranged Horizontally to the Quay "Side-Loaded"
 • Automated Terminal   Systems - the Integrated Automated
   Container Terminal [IACT]
 • Pusan,   Korea

                                              SmartCrane, LLC
End-Loaded


  Google-
Earth APMT




                  Source: Google Maps




                 SmartCrane, LLC
Side-Loaded




              SmartCrane, LLC
Euro STS Transfer




                SmartCrane, LLC
Euro STS Transfer




                SmartCrane, LLC
Euro STS Transfer




                SmartCrane, LLC
TYPICAL EURO TRUCK + RAIL INTERFACE




                         SmartCrane, LLC
TYPICAL EURO TRUCK + RAIL INTERFACE




                         SmartCrane, LLC
Problems with Euro Designs


• Too   Many Machines

• Too   Complex

• Too   Much Berth Congestion




                                SmartCrane, LLC
ZPMC Prototype




             SmartCrane, LLC
ZPMC REPLACES SHUTTLE CARRIERS WITH
  RAIL MOUNTED TRANSFER SYSTEM




                         SmartCrane, LLC
ZPMC TRANSFER FROM RAIL
SHUTTLE TO GROUND SHUTTLE




                   SmartCrane, LLC
ZPMC Prototype
• Reduces
        CO2 by Replacing Diesel Electric Shuttles or
 AGVs with a Steel Infrastructure + More Cranes
• Attempts   to Resolve the Congestion Issue But:
 • Adds   Machines
 • Adds   Complexity
 • Increases   Dynamic + Static Loads on the Quay
   Structure
 • Increases   Capital Expenditure

                                             SmartCrane, LLC
ATS IACT Resolves Deficiencies of Typical
         End-loaded Designs




                             SmartCrane, LLC
Direct Transfer by Conveyors




                     SmartCrane, LLC
SmartCrane, LLC
SmartCrane, LLC
SmartCrane, LLC
IACT Components




             SmartCrane, LLC
SmartCrane, LLC
SmartCrane, LLC
IACT
• RMG:
  • Cantilever; Steel Mill Standards; SmartCrane Precision
    Anti-sway Control
• STS:
  • Industry Standard; High Speed; Anti-sway Control
• Truck Station:
  • Short Hang; Remote or Local Operator Control
• Conveyor:
  • Dual or Single Level; Fully Automated
• Shuttle Car
  • Rail Car; Single or double Stack; Fully Automated
• System:
  • IACT Continuous Optimization
                                           SmartCrane, LLC
Current Methods
               Euro                                     IACT
                      Dual Hoist                              Standard Design
STS CRANE                               STS CRANE
                     Tandem Pick                             Dual Hoist Capable
                   Semi Automated
TRANSFER TO
                                        TRANSFER TO          Indexed Conveyor
   STACK
                                           STACK            Automated over Land
                        AGVs
                                                              Fully Automated
                     Small RMGs
  Stack                                   Stack
                                                                 Large RMGs
                    Transfer Strads
Operations                              Operations
                    Perpendicular
                                                               Fully Automated


Truck + Rail     Operator In the Loop    Truck + Rail
                      Manual              Transfers
                                                              Semi-Automated
                                                               Industrial Design
 Transfers


                                                         Computational Intelligence
 Operating                               Operating
                       Expert
  System                                  System
                                                         Real-Time Process Control

Complexity              High
                                        Complexity                  Low
                                                           SmartCrane, LLC
IACT Reduces Complexity
             Euro                         IACT
Berths                4      Berths                   4


STS Cranes            12     STS Cranes               12

CY Blocks             26     CY Blocks                8

RMGs                  54     RMGs                     18


AGVs/Shuttle Strads   >125   Conveyors                30


Truck Handlers        30     Truck Stations           8



                                              SmartCrane, LLC
IACT Concepts Applied
• Yangshang   Deepwater Port Project
  • Client: Shanghai Port Authority
  • USTDA Consult: Louis Berger Group International
    (LBGI) +ATS
  • Conceptual Design: IACT-like Configuration at Marine
    Terminals and Land-side Intermodal Support Facility
• Taranto Terminal
  • Design Accepted, Letter of Intent; Project Awaiting
    Recovery
• Rhode Island Economic Development: Conceptual
  Design
                                          SmartCrane, LLC
SmartCrane, LLC
SmartCrane, LLC
The IACT Solver
• Long-Horizon    Solution
 • Genetic Algorithm
 • Minimizes Weighted        Sum of Multiple Criteria
 • Produces Work    Order Database
• Short-Cycle   Re-plan
 • When   Simulation/Real Life Out of Sync
 • Replaces   Only Future Work Orders

                                          SmartCrane, LLC
Genetic Algorithm
Random Solution Key             n1, n2, n3....nm


Produces One Schedule           w1, w2, w3....wN
“Parent” Solution Keys


Two “Child” Keys
& Two New Solutions

Save Key from “Best” Solution
                                      SmartCrane, LLC
Replan Algorithm




              SmartCrane, LLC
Replan Algorithm
Copy Schedule




                     SmartCrane, LLC
Replan Algorithm
Copy Schedule

   Divide




                     SmartCrane, LLC
Replan Algorithm
Copy Schedule

   Divide
                Done - Keep - Discard




                                        SmartCrane, LLC
Replan Algorithm
Copy Schedule

   Divide
                Done - Keep - Discard
   Simulate




                                        SmartCrane, LLC
Replan Algorithm
Copy Schedule

   Divide
                Done - Keep - Discard
   Simulate                             Near Future State




                                         SmartCrane, LLC
Replan Algorithm
Copy Schedule

   Divide
                Done - Keep - Discard
   Simulate                             Near Future State


 New Solution                New Work Orders




                                         SmartCrane, LLC
Replan Algorithm
Copy Schedule

   Divide
                Done - Keep - Discard
   Simulate                             Near Future State


 New Solution                New Work Orders



 Trim & Run

                                         SmartCrane, LLC
IACT SIMULATION




             SmartCrane, LLC
IACT SIMULATION




             SmartCrane, LLC
Questions




            SmartCrane, LLC
SmartCrane, LLC

More Related Content

Similar to 2011 ats presentation

RA TechED - DE10 - Simulation and Optimization of Lines using RAPID, Line Bal...
RA TechED - DE10 - Simulation and Optimization of Lines using RAPID, Line Bal...RA TechED - DE10 - Simulation and Optimization of Lines using RAPID, Line Bal...
RA TechED - DE10 - Simulation and Optimization of Lines using RAPID, Line Bal...Rockwell Automation
 
2006 mine integration plan
2006 mine integration plan2006 mine integration plan
2006 mine integration planElliot Duff
 
Kubernetes Istio Miami meetup
Kubernetes Istio Miami meetupKubernetes Istio Miami meetup
Kubernetes Istio Miami meetupDustin Humphries
 
Navigating Disaster Recovery in Kubernetes and CNCF Crossplane
Navigating Disaster Recovery in Kubernetes and CNCF Crossplane Navigating Disaster Recovery in Kubernetes and CNCF Crossplane
Navigating Disaster Recovery in Kubernetes and CNCF Crossplane Carlos Santana
 
AWS re:Invent 2016: From Monolithic to Microservices: Evolving Architecture P...
AWS re:Invent 2016: From Monolithic to Microservices: Evolving Architecture P...AWS re:Invent 2016: From Monolithic to Microservices: Evolving Architecture P...
AWS re:Invent 2016: From Monolithic to Microservices: Evolving Architecture P...Amazon Web Services
 
digitalization and artificial intelligence in shipping.pptx
digitalization and artificial intelligence in shipping.pptxdigitalization and artificial intelligence in shipping.pptx
digitalization and artificial intelligence in shipping.pptxSaptarshiBasu23
 
Data center pov 2017 v3
Data center pov 2017 v3Data center pov 2017 v3
Data center pov 2017 v3Jeff Green
 
Trajectory generation for Servo motor drives
Trajectory generation for Servo motor drivesTrajectory generation for Servo motor drives
Trajectory generation for Servo motor drivescontroltrix
 
GC Tuning Confessions Of A Performance Engineer
GC Tuning Confessions Of A Performance EngineerGC Tuning Confessions Of A Performance Engineer
GC Tuning Confessions Of A Performance EngineerMonica Beckwith
 
Automsystems tcm4 121509
Automsystems tcm4 121509Automsystems tcm4 121509
Automsystems tcm4 121509mgschemistry
 
2006 mine integration plan
2006 mine integration plan2006 mine integration plan
2006 mine integration planElliot Duff
 
Infrastructure for auto scaling distributed system
Infrastructure for auto scaling distributed systemInfrastructure for auto scaling distributed system
Infrastructure for auto scaling distributed systemKai Sasaki
 
1. Shipit Smarter Concept & Functionalities (English)
1. Shipit Smarter Concept & Functionalities (English)1. Shipit Smarter Concept & Functionalities (English)
1. Shipit Smarter Concept & Functionalities (English)Pieter Nijman
 
Presentation major
Presentation majorPresentation major
Presentation majormallika26
 
Scooter Seminar
Scooter SeminarScooter Seminar
Scooter Seminaralaxandre
 
SCOOTER - Seminar
SCOOTER - SeminarSCOOTER - Seminar
SCOOTER - Seminaralaxandre
 
SCOOTER SEMINAR
SCOOTER SEMINARSCOOTER SEMINAR
SCOOTER SEMINARalaxandre
 

Similar to 2011 ats presentation (20)

RA TechED - DE10 - Simulation and Optimization of Lines using RAPID, Line Bal...
RA TechED - DE10 - Simulation and Optimization of Lines using RAPID, Line Bal...RA TechED - DE10 - Simulation and Optimization of Lines using RAPID, Line Bal...
RA TechED - DE10 - Simulation and Optimization of Lines using RAPID, Line Bal...
 
2006 mine integration plan
2006 mine integration plan2006 mine integration plan
2006 mine integration plan
 
Kubernetes Istio Miami meetup
Kubernetes Istio Miami meetupKubernetes Istio Miami meetup
Kubernetes Istio Miami meetup
 
Navigating Disaster Recovery in Kubernetes and CNCF Crossplane
Navigating Disaster Recovery in Kubernetes and CNCF Crossplane Navigating Disaster Recovery in Kubernetes and CNCF Crossplane
Navigating Disaster Recovery in Kubernetes and CNCF Crossplane
 
[IJET-V2I2P16] Authors: Jariwala Hiren, Patel Chintan, Prasad Kuldip, Shukla ...
[IJET-V2I2P16] Authors: Jariwala Hiren, Patel Chintan, Prasad Kuldip, Shukla ...[IJET-V2I2P16] Authors: Jariwala Hiren, Patel Chintan, Prasad Kuldip, Shukla ...
[IJET-V2I2P16] Authors: Jariwala Hiren, Patel Chintan, Prasad Kuldip, Shukla ...
 
AWS re:Invent 2016: From Monolithic to Microservices: Evolving Architecture P...
AWS re:Invent 2016: From Monolithic to Microservices: Evolving Architecture P...AWS re:Invent 2016: From Monolithic to Microservices: Evolving Architecture P...
AWS re:Invent 2016: From Monolithic to Microservices: Evolving Architecture P...
 
Freezer Agv
Freezer AgvFreezer Agv
Freezer Agv
 
digitalization and artificial intelligence in shipping.pptx
digitalization and artificial intelligence in shipping.pptxdigitalization and artificial intelligence in shipping.pptx
digitalization and artificial intelligence in shipping.pptx
 
Data center pov 2017 v3
Data center pov 2017 v3Data center pov 2017 v3
Data center pov 2017 v3
 
Trajectory generation for Servo motor drives
Trajectory generation for Servo motor drivesTrajectory generation for Servo motor drives
Trajectory generation for Servo motor drives
 
Amazon EC2 Spot Instances
Amazon EC2 Spot InstancesAmazon EC2 Spot Instances
Amazon EC2 Spot Instances
 
GC Tuning Confessions Of A Performance Engineer
GC Tuning Confessions Of A Performance EngineerGC Tuning Confessions Of A Performance Engineer
GC Tuning Confessions Of A Performance Engineer
 
Automsystems tcm4 121509
Automsystems tcm4 121509Automsystems tcm4 121509
Automsystems tcm4 121509
 
2006 mine integration plan
2006 mine integration plan2006 mine integration plan
2006 mine integration plan
 
Infrastructure for auto scaling distributed system
Infrastructure for auto scaling distributed systemInfrastructure for auto scaling distributed system
Infrastructure for auto scaling distributed system
 
1. Shipit Smarter Concept & Functionalities (English)
1. Shipit Smarter Concept & Functionalities (English)1. Shipit Smarter Concept & Functionalities (English)
1. Shipit Smarter Concept & Functionalities (English)
 
Presentation major
Presentation majorPresentation major
Presentation major
 
Scooter Seminar
Scooter SeminarScooter Seminar
Scooter Seminar
 
SCOOTER - Seminar
SCOOTER - SeminarSCOOTER - Seminar
SCOOTER - Seminar
 
SCOOTER SEMINAR
SCOOTER SEMINARSCOOTER SEMINAR
SCOOTER SEMINAR
 

Recently uploaded

Nanopower In Semiconductor Industry.pdf
Nanopower  In Semiconductor Industry.pdfNanopower  In Semiconductor Industry.pdf
Nanopower In Semiconductor Industry.pdfPedro Manuel
 
UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6DianaGray10
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsSeth Reyes
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Websitedgelyza
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Will Schroeder
 
UiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPathCommunity
 
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UbiTrack UK
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8DianaGray10
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?IES VE
 
NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopBachir Benyammi
 
UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7DianaGray10
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesDavid Newbury
 
VoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXVoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXTarek Kalaji
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Adtran
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsSafe Software
 
OpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureOpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureEric D. Schabell
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintMahmoud Rabie
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAshyamraj55
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesMd Hossain Ali
 

Recently uploaded (20)

Nanopower In Semiconductor Industry.pdf
Nanopower  In Semiconductor Industry.pdfNanopower  In Semiconductor Industry.pdf
Nanopower In Semiconductor Industry.pdf
 
UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and Hazards
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Website
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
 
UiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation Developers
 
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?
 
NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 Workshop
 
UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond Ontologies
 
VoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXVoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBX
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
 
OpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureOpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability Adventure
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership Blueprint
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
 
20150722 - AGV
20150722 - AGV20150722 - AGV
20150722 - AGV
 

2011 ats presentation

  • 2. Automated Container Terminals What Works + Why or Why Not Port & Terminal Technology International Conference & Exhibition Houston, TX 12-13 April0 2011 Dr. Joseph H. Discenza, Automated Terminal Systems (ATS) SmartCrane, LLC
  • 3. Container Terminal Design State of the Art • Too Fragile • Too Complex • Too Expensive • Too Slow • Decreasing Cost - Benefit Ratios • New Facility Designs Repeat the Errors of the Past SmartCrane, LLC
  • 4. Container Terminals Exhibit Mature Industry Syndrome $s Spent % Improvement SmartCrane, LLC
  • 5. Container Terminals Exhibit Mature Industry Syndrome $s Spent % Improvement 1,000 750 500 250 0 1965 1975 1985 1995 2005 2015 SmartCrane, LLC
  • 6. Why? • Terminal Operations were Sub-Optimal in the First Instance • Accretion of Methods and Subsystems • Lack of Integration • Piecemeal Solutions • Keeping those Practices in Place only Embeds them Even Further SmartCrane, LLC
  • 7. Examples • Response to Larger Ships • Add Ship-to-Shore Cranes • Continue to Use High Maintenance Equipment Not Suited to Automation; e.g., Strads + RTGs • Add GPS, MDTs, DGPS and Associated Support Infrastructure • Further Elaboration of Existing Expert Systems SmartCrane, LLC
  • 8. Expert Systems • Work WellOn Discrete Problems in a Simple Ordered Environment [Heuristic] • Not so Good On Complex Large Problems in a Highly Randomized Environment [Stochastic] • Container Terminal Management is: • Complex • Stochastic SmartCrane, LLC
  • 9. What Does Work • The Industry has Recognized the Need to Employ Larger More Robust Equipment - Rail Mounted Gantry Cranes [RMGs] • Simplify Facility Layouts • Adopta more "Factory-Like" Approach to Processing Containers • All - Electric Designs SmartCrane, LLC
  • 10. Two Emerging Models • CY Stacks Arranged Perpendicular to the Quay "End-Loaded" • HHLA - CTA - Altenwerder • APMT - Portsmouth • EuroMax - Rotterdam • ZPMC - Shanghai Prototype • CY Stacks Arranged Horizontally to the Quay "Side-Loaded" • Automated Terminal Systems - the Integrated Automated Container Terminal [IACT] • Pusan, Korea SmartCrane, LLC
  • 11. End-Loaded Google- Earth APMT Source: Google Maps SmartCrane, LLC
  • 12. Side-Loaded SmartCrane, LLC
  • 13. Euro STS Transfer SmartCrane, LLC
  • 14. Euro STS Transfer SmartCrane, LLC
  • 15. Euro STS Transfer SmartCrane, LLC
  • 16. TYPICAL EURO TRUCK + RAIL INTERFACE SmartCrane, LLC
  • 17. TYPICAL EURO TRUCK + RAIL INTERFACE SmartCrane, LLC
  • 18. Problems with Euro Designs • Too Many Machines • Too Complex • Too Much Berth Congestion SmartCrane, LLC
  • 19. ZPMC Prototype SmartCrane, LLC
  • 20. ZPMC REPLACES SHUTTLE CARRIERS WITH RAIL MOUNTED TRANSFER SYSTEM SmartCrane, LLC
  • 21. ZPMC TRANSFER FROM RAIL SHUTTLE TO GROUND SHUTTLE SmartCrane, LLC
  • 22. ZPMC Prototype • Reduces CO2 by Replacing Diesel Electric Shuttles or AGVs with a Steel Infrastructure + More Cranes • Attempts to Resolve the Congestion Issue But: • Adds Machines • Adds Complexity • Increases Dynamic + Static Loads on the Quay Structure • Increases Capital Expenditure SmartCrane, LLC
  • 23. ATS IACT Resolves Deficiencies of Typical End-loaded Designs SmartCrane, LLC
  • 24. Direct Transfer by Conveyors SmartCrane, LLC
  • 28. IACT Components SmartCrane, LLC
  • 31. IACT • RMG: • Cantilever; Steel Mill Standards; SmartCrane Precision Anti-sway Control • STS: • Industry Standard; High Speed; Anti-sway Control • Truck Station: • Short Hang; Remote or Local Operator Control • Conveyor: • Dual or Single Level; Fully Automated • Shuttle Car • Rail Car; Single or double Stack; Fully Automated • System: • IACT Continuous Optimization SmartCrane, LLC
  • 32. Current Methods Euro IACT Dual Hoist Standard Design STS CRANE STS CRANE Tandem Pick Dual Hoist Capable Semi Automated TRANSFER TO TRANSFER TO Indexed Conveyor STACK STACK Automated over Land AGVs Fully Automated Small RMGs Stack Stack Large RMGs Transfer Strads Operations Operations Perpendicular Fully Automated Truck + Rail Operator In the Loop Truck + Rail Manual Transfers Semi-Automated Industrial Design Transfers Computational Intelligence Operating Operating Expert System System Real-Time Process Control Complexity High Complexity Low SmartCrane, LLC
  • 33. IACT Reduces Complexity Euro IACT Berths 4 Berths 4 STS Cranes 12 STS Cranes 12 CY Blocks 26 CY Blocks 8 RMGs 54 RMGs 18 AGVs/Shuttle Strads >125 Conveyors 30 Truck Handlers 30 Truck Stations 8 SmartCrane, LLC
  • 34. IACT Concepts Applied • Yangshang Deepwater Port Project • Client: Shanghai Port Authority • USTDA Consult: Louis Berger Group International (LBGI) +ATS • Conceptual Design: IACT-like Configuration at Marine Terminals and Land-side Intermodal Support Facility • Taranto Terminal • Design Accepted, Letter of Intent; Project Awaiting Recovery • Rhode Island Economic Development: Conceptual Design SmartCrane, LLC
  • 37. The IACT Solver • Long-Horizon Solution • Genetic Algorithm • Minimizes Weighted Sum of Multiple Criteria • Produces Work Order Database • Short-Cycle Re-plan • When Simulation/Real Life Out of Sync • Replaces Only Future Work Orders SmartCrane, LLC
  • 38. Genetic Algorithm Random Solution Key n1, n2, n3....nm Produces One Schedule w1, w2, w3....wN “Parent” Solution Keys Two “Child” Keys & Two New Solutions Save Key from “Best” Solution SmartCrane, LLC
  • 39. Replan Algorithm SmartCrane, LLC
  • 41. Replan Algorithm Copy Schedule Divide SmartCrane, LLC
  • 42. Replan Algorithm Copy Schedule Divide Done - Keep - Discard SmartCrane, LLC
  • 43. Replan Algorithm Copy Schedule Divide Done - Keep - Discard Simulate SmartCrane, LLC
  • 44. Replan Algorithm Copy Schedule Divide Done - Keep - Discard Simulate Near Future State SmartCrane, LLC
  • 45. Replan Algorithm Copy Schedule Divide Done - Keep - Discard Simulate Near Future State New Solution New Work Orders SmartCrane, LLC
  • 46. Replan Algorithm Copy Schedule Divide Done - Keep - Discard Simulate Near Future State New Solution New Work Orders Trim & Run SmartCrane, LLC
  • 47. IACT SIMULATION SmartCrane, LLC
  • 48. IACT SIMULATION SmartCrane, LLC
  • 49. Questions SmartCrane, LLC

Editor's Notes

  1. \n
  2. \n
  3. \n
  4. \n
  5. \n
  6. \n
  7. \n
  8. \n
  9. \n
  10. \n
  11. \n
  12. \n
  13. \n
  14. \n
  15. \n
  16. \n
  17. \n
  18. High capital cost of berth side infrastructure + high level of complexity\n
  19. \n
  20. \n
  21. IACT Solution.\n
  22. \n
  23. \n
  24. \n
  25. \n
  26. \n
  27. \n
  28. \n
  29. \n
  30. \n
  31. \n
  32. \n
  33. \n
  34. \n
  35. \n
  36. \n
  37. \n
  38. \n
  39. \n
  40. \n
  41. \n
  42. \n
  43. \n