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Akiko Shinozaki
Manager, Logistics Coe, Digital Enterprise Solutions Center
Yokogawa
November 11, 2020
Achieving the
Autonomous Terminal
Agenda
1. Introduction
2. Autonomous Terminal
3. Digitalized Terminal Operations
4. Dynamic Adaption
5. Value of Autonomous Operation
Introduction
Industrial
Terminals
LNG, LPG and
Chemical Gases
Terminals
Chemical
Terminals
Oil
Terminals
Different Type of Terminal
Energy Manufacturing Food and Agriculture
End Markets
Field to Centralized Monitoring and Control
Autonomous Terminals Should Be Silent and Boring
Operator
intervention
Optimize execution
of customer orders
without operator
intervention, including
coordination with other
terminals with
overlapping coverage
to maximize
distribution efficiency
Information
Exchange
Automatically
exchange information
with business partners
such as port
authorities, transport
agents, ship captain,
customers, etc.
Self
Diagnostics
Perform
self-diagnostics
of terminal assets by
analyzing data
provided by smart
sensors and
instruments in
real-time, in
coordination with
digitized historical
maintenance records
Adaptive
Adapt to and learn
from terminal
dynamics to provide
operational advice
for improving safety
and efficiency
Digitalized Operations
Master Contract
Order Handling
Movement Planning
and Scheduling
Inventory Book Stocks
Invoice Consolidation
Inventory Physical
Stock
Information Mgmt
Order Mgmt
Transport Preparation
Blend Property Control
(BPC)
Scheduling Activity
Equipment
Reports
Departure Handling
Actcivity Mgmt
Arrival Handling
Transfer Blending
HMI
Master Database
Role and Security
Audit Trail
Business Mgmt Workflow Mgmt
Distributed Control System/Programable Logic Controller
Ll LI SI SI SI SI SI MC SI FI SI SI SI
Integration with Business Domain
Terminal B
Inventory
Invoice
Terminal Orders and
Movement Planning
Terminal Orders and
Movement Scheduling
Invoice Calculations
Book and Physiscal
Stock Managementt
BOLConsolidate BOL
Orders
Breakdown Orders
into Jobs and Tasks
Reesources Scheduling
(Tank, Jetty, Pump
and Line)
Task Exexcution
Consolidate BOL BOL
Terminal A
Software Design Architecture for scalability and
flexibility
Core
System
Plug-in
Component
Plug-in
Component
Plug-in
Component
Plug-in
Component
Microservices with Event-Driven Architecture
(EDA) design for scalability and flexible
real-time deployment
Event Producer
Event Ingestion
Event
Consumer
Event
Consumer
Event
Consumer
Modularized, Expandable On-line
TAS
Core
Truck
Loading
Truck
Unloading
Railcar
Loading
Ship
Unloading
Ship
Loading
New
Functionalities
bolted on-line,
without
stopping other
services
TAS
Core
Truck
Loading
Truck
Unloading
Railcar
Loading
Ship
Unloading
Ship
Loading
Pipeline
Delivery
TAS
Core
Truck
Loading
Truck
Unloading
Railcar
Loading
Ship
Unloading
Ship
Loading
Pipeline
Delivery
Configurability
■ Workflow
■ Operation practices
■ Facilities
■ New path,
■ New bay, etc.
Unified Configuration
Center for All Modules
Truck
Loading
Gate In
Gross
Weigh
Start
Loading
Pause
Change
Lane
…
Knowledge Management—Best Practices Library
■ Library to accumulate logistics best
practices for sharing across enterprise
■ Configurable for each site conditions
Activity Module
Scheduling—On-line Equipment Scheduling
Current Material Compatible Material Material Group
BGE BTG OG BULK BGE BTG BULK BTG
EOA DEA BULK EOA DEA BULK OG DEA
GLYCERINE GLYCERINE
PU CPP HL 809 BULK OG PU CPP HL806 BULK Polyol Blend
Contamination Check
Path Optimizing Criterias Check Heel Contents Line Clearing
■ No line cleaning
■ Minimum of segment
■ Check line heel contents recorded
by last previous activity
■ Check destination heel
■ Create line clearing sub-task
to clear the line before line-up
Compatibility Table
Jetty Scheduling
Laycan
01
Ship A/Product A/Amt
Demurrage Ship B/Product B/Amt
Ship C/Product A/Amt
Ship D/Poduct
C/Amt
02
Maintenanc
e
Ship 1/Poduct C/Amt
Ship 2/Product A/Amt
Ship 3/Product B/Amt
NOA
NOR
NOR
ETA
ETA
ETA
Shipping Schedule
Jetty Schedule Optimizer
Optimizing Criteria
First come first serve
Minimum waiting time
Minimum operation time
Minimum demurrage
Jetty Constraint
Product/Ullage Availability
Harbor Information
Shipping Agents
Customer Portal
Digitalized Maintenance
Digital Maintenance System
Terminal
Assets
Customer Operations and Maintenance (KPI) Dashboard
Rule Based Engine and Auto Discovery (CMCDB) Ticket System and Run Books
Third party “Plug-ins”
“ComerComercial off the shelfs”
Yokogawa “Plug-ins” Others “Plug-ins”
Symantec
McAfee
What’sUpGold
WSUS
DELL
CentrumVP
ProSafeRS
ControlValve
Diagnostic
HEXFouling
Monitoring
Pump
Diagnostic
Symantec
McAfee
WUG
Network
WSUS
DELL
Admin
FCS
SCS
Control
Valve
Heat
Exchanger
Pump
Operator Actions
Information
from ICSS*
Actions
Through
ICSS
Process Plant
Operator
Machine Learning to Reproduce Operator Actions
Detect Deviation
from SOP
Capture Implicit
Knowledge
Detect Abnormal
Conditions
Machine
Learning to
Construct
Operating
Procedures
Realtime and
Historized Data
■ Minimum site operation and maintenance crew as the Terminal is fully automated
■ Average terminal operator salary in U.S is c. $68k pa
■ No contamination; all heel and residues tracked and monitored
■ Minimum product losses; all movements monitored, and long-term data analyzed
to detect small leaks
■ Minimum demurrages; close collaboration between the Logistics, Terminal Operation,
Shipping Agent, Ship Captain, Port Authority, etc.
■ Demurrage bill is typically $ millions pa
■ Improve collaboration between Terminals with overlapping market coverage to improve
the Level of services
Value of Autonomous Operation
Many aspects of terminal operations
are often directed by operators based
on experience and judgment. This often
results in inconsistent and non-optimal
operations, with greater risk
of incidents.
Automating actions—and advising
operators regarding their best course
of action—by digitalized systems and
making better use of data results in
improved and consistent operator
actions. These digitalized systems can
also be used to shift maintenance from
reactive to proactive, reducing
downtime and maintenance costs.
1 2
Conclusions
Questions?
The names of corporations, organizations, products and logos herein are either registered trademarks or
trademarks of Yokogawa Electric Corporation and their respective holders.
Thank You!

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Achieving the Autonomous Terminal

  • 1. Akiko Shinozaki Manager, Logistics Coe, Digital Enterprise Solutions Center Yokogawa November 11, 2020 Achieving the Autonomous Terminal
  • 2. Agenda 1. Introduction 2. Autonomous Terminal 3. Digitalized Terminal Operations 4. Dynamic Adaption 5. Value of Autonomous Operation
  • 4. Industrial Terminals LNG, LPG and Chemical Gases Terminals Chemical Terminals Oil Terminals Different Type of Terminal Energy Manufacturing Food and Agriculture End Markets
  • 5. Field to Centralized Monitoring and Control
  • 6. Autonomous Terminals Should Be Silent and Boring Operator intervention Optimize execution of customer orders without operator intervention, including coordination with other terminals with overlapping coverage to maximize distribution efficiency Information Exchange Automatically exchange information with business partners such as port authorities, transport agents, ship captain, customers, etc. Self Diagnostics Perform self-diagnostics of terminal assets by analyzing data provided by smart sensors and instruments in real-time, in coordination with digitized historical maintenance records Adaptive Adapt to and learn from terminal dynamics to provide operational advice for improving safety and efficiency
  • 7. Digitalized Operations Master Contract Order Handling Movement Planning and Scheduling Inventory Book Stocks Invoice Consolidation Inventory Physical Stock Information Mgmt Order Mgmt Transport Preparation Blend Property Control (BPC) Scheduling Activity Equipment Reports Departure Handling Actcivity Mgmt Arrival Handling Transfer Blending HMI Master Database Role and Security Audit Trail Business Mgmt Workflow Mgmt Distributed Control System/Programable Logic Controller Ll LI SI SI SI SI SI MC SI FI SI SI SI
  • 8. Integration with Business Domain Terminal B Inventory Invoice Terminal Orders and Movement Planning Terminal Orders and Movement Scheduling Invoice Calculations Book and Physiscal Stock Managementt BOLConsolidate BOL Orders Breakdown Orders into Jobs and Tasks Reesources Scheduling (Tank, Jetty, Pump and Line) Task Exexcution Consolidate BOL BOL Terminal A
  • 9. Software Design Architecture for scalability and flexibility Core System Plug-in Component Plug-in Component Plug-in Component Plug-in Component Microservices with Event-Driven Architecture (EDA) design for scalability and flexible real-time deployment Event Producer Event Ingestion Event Consumer Event Consumer Event Consumer
  • 10. Modularized, Expandable On-line TAS Core Truck Loading Truck Unloading Railcar Loading Ship Unloading Ship Loading New Functionalities bolted on-line, without stopping other services TAS Core Truck Loading Truck Unloading Railcar Loading Ship Unloading Ship Loading Pipeline Delivery
  • 11. TAS Core Truck Loading Truck Unloading Railcar Loading Ship Unloading Ship Loading Pipeline Delivery Configurability ■ Workflow ■ Operation practices ■ Facilities ■ New path, ■ New bay, etc. Unified Configuration Center for All Modules
  • 12. Truck Loading Gate In Gross Weigh Start Loading Pause Change Lane … Knowledge Management—Best Practices Library ■ Library to accumulate logistics best practices for sharing across enterprise ■ Configurable for each site conditions Activity Module
  • 14. Current Material Compatible Material Material Group BGE BTG OG BULK BGE BTG BULK BTG EOA DEA BULK EOA DEA BULK OG DEA GLYCERINE GLYCERINE PU CPP HL 809 BULK OG PU CPP HL806 BULK Polyol Blend Contamination Check Path Optimizing Criterias Check Heel Contents Line Clearing ■ No line cleaning ■ Minimum of segment ■ Check line heel contents recorded by last previous activity ■ Check destination heel ■ Create line clearing sub-task to clear the line before line-up Compatibility Table
  • 15. Jetty Scheduling Laycan 01 Ship A/Product A/Amt Demurrage Ship B/Product B/Amt Ship C/Product A/Amt Ship D/Poduct C/Amt 02 Maintenanc e Ship 1/Poduct C/Amt Ship 2/Product A/Amt Ship 3/Product B/Amt NOA NOR NOR ETA ETA ETA Shipping Schedule Jetty Schedule Optimizer Optimizing Criteria First come first serve Minimum waiting time Minimum operation time Minimum demurrage Jetty Constraint Product/Ullage Availability Harbor Information Shipping Agents
  • 17. Digitalized Maintenance Digital Maintenance System Terminal Assets Customer Operations and Maintenance (KPI) Dashboard Rule Based Engine and Auto Discovery (CMCDB) Ticket System and Run Books Third party “Plug-ins” “ComerComercial off the shelfs” Yokogawa “Plug-ins” Others “Plug-ins” Symantec McAfee What’sUpGold WSUS DELL CentrumVP ProSafeRS ControlValve Diagnostic HEXFouling Monitoring Pump Diagnostic Symantec McAfee WUG Network WSUS DELL Admin FCS SCS Control Valve Heat Exchanger Pump
  • 19. Machine Learning to Reproduce Operator Actions Detect Deviation from SOP Capture Implicit Knowledge Detect Abnormal Conditions Machine Learning to Construct Operating Procedures Realtime and Historized Data
  • 20. ■ Minimum site operation and maintenance crew as the Terminal is fully automated ■ Average terminal operator salary in U.S is c. $68k pa ■ No contamination; all heel and residues tracked and monitored ■ Minimum product losses; all movements monitored, and long-term data analyzed to detect small leaks ■ Minimum demurrages; close collaboration between the Logistics, Terminal Operation, Shipping Agent, Ship Captain, Port Authority, etc. ■ Demurrage bill is typically $ millions pa ■ Improve collaboration between Terminals with overlapping market coverage to improve the Level of services Value of Autonomous Operation
  • 21. Many aspects of terminal operations are often directed by operators based on experience and judgment. This often results in inconsistent and non-optimal operations, with greater risk of incidents. Automating actions—and advising operators regarding their best course of action—by digitalized systems and making better use of data results in improved and consistent operator actions. These digitalized systems can also be used to shift maintenance from reactive to proactive, reducing downtime and maintenance costs. 1 2 Conclusions
  • 23. The names of corporations, organizations, products and logos herein are either registered trademarks or trademarks of Yokogawa Electric Corporation and their respective holders. Thank You!