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8/22/2019 Session 1,2 2
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Automation Area
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Ø Batch Process Automation
Ø Vehicle Automation
Ø Building AutomationTraffic automation
Heating, air-conditioning
Ø Transportation Automation
Automation Area
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ProblemProblemDefinitionDefinition
Business
DomainAutomation
Plant DomainAutomation
EnterpriseResource Planning
Supply ChainManagement
ResultantImprovements
Objectives
Objectives
Control SystemStructure
Industrial NetworkDevelopment
Control Algorithm(APC)
Case StudiesFuture Trends
Conclusion
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CHALENGESCHALENGES ONON INDUSTRIESINDUSTRIES
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““SMART MANUFACTURING”SMART MANUFACTURING”
Ø Attributes of Smart Manufacturing:
• Wide availability of real time
information on the current status of
manufacturing and productconditions.
• Comparative model-based
performance analysis.
• Decision based on predictive
scenarios of expected future plantand market behavior and analytical
decision models.
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Supply & Demand Planning
Schedule/Plan
Reconciliation
Performance
Monitoring & Analysis
Material Balancing
& Data Reconciliation
Data Gathering
DCS (Real-Time Control)
Process
Monthly Planning
Scheduling
Simulation & Target
Strategy Setting
Process Control &
Local Optimization
ProductionDatabase(Data Model)
PRACTICAL IMPLEMENTATIONPRACTICAL IMPLEMENTATION ININ
PRODUCTION CHAINPRODUCTION CHAIN
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Management objectivesManagement objectives
Product opportunities,sales, pricing, Logistics
Feedstock selection,Pricing,Purchasing, Logistic
Process simulationModel
PerformanceMonitoring
Accruing
Data Reconciliation(DR)
CentralHistorian
On-lineOptimization
Scheduling
Planning
DCS
HistorianInterface
MVC/APC
Physical
Processing Unit
HistorianInterface
MVC/APC
DCS
Physical
Processing Unit
Historian nterface
APC layer
DCS layer
Physical Plant
layer
AUTOMATION AREAAUTOMATION AREA
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The process database is at the centre (example: Wonderware)
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INDUSTRIALINDUSTRIAL PYRAMIDPYRAMID
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INDUSTRIAL PYRAMIDINDUSTRIAL PYRAMID
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Large control system hierarchy (1)
Group control
Unit control
Field
Sensors& actors A V
Supervisory
Primary technology
Workflow, order tracking, resources
SCADA =
Supervisory Control
And Data Acquisition
T
Production planning, orders, purchase
1
2
3
4
0
Planning, Statistics, Finances5
(manufacturing) execution
enterprise
administration
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Large control system hierarchy (2)
Administration Finances, human resources, documentation, long-term planning
Enterprise Set production goals, plans enterprise and resources, coordinate different sites,manage orders
Manufacturing Manages execution, resources, workflow, quality supervision,production scheduling, maintenance.
Supervision Supervise the production and site, optimize, execute operationsvisualize plants, store process data, log operations, history (open loop)
Group (Area) Controls a well-defined part of the plant
(closed loop, except for intervention of an operator)• Coordinate individual subgroups• Adjust set-points and parameters• Command several units as a whole
Unit (Cell) Control (regulation, monitoring and protection) part of a group(closed loop except for maintenance)
• Measure: Sampling, scaling, processing, calibration.• Control: regulation, set-points and parameters
• Command: sequencing, protection and interlockingField data acquisition (Sensors & Actors*), data transmission
no processing except measurement correction and built-in protection.
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Field level
the field level is in directinteraction with the plant'shardware
(Primary technology)
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Group level
the group level coordinates the
activities of several unit controls
the group control is often hierarchical,
can be also be peer-to-peer (from groupcontrol to group control = distributedcontrol system)
Note: "Distributed Control Systems"
(DCS) commonly refers to a hardwareand software infrastructure to performProcess Automation
unit controllers
Group level
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Local human interface at group level
sometimes,the group level hasits own man-machineinterface for localoperation control(here: cement
packaging)
also for maintenance:console / emergency panel
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Supervisory level: Man-machine interface
control room(mimic wall)
1970s...
formerly, all instruments were directly wired to the control room
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Mosaic is still in use – with direct wiring
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Supervisory level: SCADA
- displays the current state of the process (visualization)- display the alarms and events (alarm log, logbook)- display the trends (historians) and analyse them- display handbooks, data sheets, inventory, expert system(documentation)
- allows communication and data synchronization with other centres
(SCADA = Supervisory Control and Data Acquisition)
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Today’s control rooms
beamers replaces the mosaics, there is no more direct wiring tothe plant.
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Plant management
- store the plant and product data for further processing in a
secure way (historian), allowing to track processes and trace
products
-> Plant Information Management System (PIMS)
- make predictions on the future behaviour of the processes
and in particular about the maintenance of the equipment,
track KPI (key performance indicators)
-> Asset Optimisation (AO)
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ANSI/ISA 95 standard classification
Source: ANSI/ISA–95.00.01–2000
the ANS/ISA standard 95 defines terminology and good practices
Enterprise Resource Planning
Manufacturing Execution Syste
Control & Command System
Business Planning & Logistics
Plant Production SchedulingOperational Management, etc.
ManufacturingOperations & Control
Dispatching Production, Detailed ProductScheduling, Reliability Assurance,...
Level 4
Level 3
Levels2,1,0
BatchControl
ContinuousControl
DiscreteControl
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Example: Power plant
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Example of generic control siemens: Siemens
WinCC (Generic)
Betr iebs- lei tebene
Product ion
level
Unternehmens
-
lei tebene
Enterpr ise
level
Prozess-
lei tebene
Process level
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planning
scheduling
Online opti
APC
Control
Field
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Response time and hierarchical level
PlanningLevel
ExecutionLevel
ControlLevel
SupervisoryLevel
ms seconds hours days weeks month years
ERP(Enterprise Resource Planning)
DCS
MES(Manufacturing Execution
System)
PLC(Programmable Logic
Controller)
(Distributed ControlSystem)
(Supervisory Control and DataAcquisition)
SCADA
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Complexity and Hierarchical level
MES
Supervision
Group Control
Individual Control
Field
Site
Command level
,
Complexity Reaction Speed
ERP
days
months
minutes
seconds
0.1s
0.1s
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Effects of System Automation
• Dependability
• Plant Efficiency
• Extended Equipment Life
• Improved Operation
• Improved Operator Interface
• Accessibility of Plant Data
• etc
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ProblemDefinition
BusinessBusiness
DomainDomainAutomationAutomation
Plant DomainAutomation
EnterpriseResource Planning
Supply ChainManagement
ResultantImprovements
Objectives
Objectives
Control SystemStructure
Industrial NetworkDevelopment
Control Algorithm(APC)
Case StudiesFuture Trends
Conclusion
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BUSINESS DOMAIN OBJECTIVESBUSINESS DOMAIN OBJECTIVES
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SUPPLY CHAINMANAGEMENT
ENTERPRISERESOURCEPLANNING
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ERP Definition and HistoryERP Definition and History
• 1970’s- Material Requirement Planning (MRP)
• 1980’s- Manufacturing Resource Planning (MRP II)
• early 1990’s- Enterprise Recourse Planning (ERP)
Ø Enterprise resource planning (ERP) is the industry termused to describe a broad set of activities supported by multi-module
application software that helps a manufacturer or other business
manage the important parts of its business. These parts can include
product planning, parts purchasing, maintaining inventories,
interacting with suppliers, providing customer service, and tracking
orders. ERP can also include application modules for the financeand human resources aspects of a business.
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ERP DevelopmentERP Development
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ERP BenefitsERP Benefits
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ERP Software SuppliersERP Software Suppliers
•ABAS Software
•ACCPAC International
•Adonix
•Agilisys
•American Software
•Apps4biz
•Ascomp Technologies
•Bäurer AG
•Caliach
•CeeCom
•Cincom
•command
•Control Group
•Cortis Lentini
•Datasul
•Datatex
•Eastern Software Systems
•Encompix
•Epicor
•Exact Software
•eXegeSys
•Expandable Software
•Friedman
•Fujitsu – Glovia International
•Geac Computer
•Generix
•Gruppo Formula
•IBS
•IFS
•infor business solutions
•Intentia
•Intuitive Manufacturing Systems
•Invensys
•JD Edwards
•K3 Business Technology
•Lilly Software
•Made2Manage
•Manugistics
•MAPICS
•Metasystems
•Microsoft Business Solutions
•OpenMFG
•Oracle
•PeopleSoft
•ProfitKey
•Pronto Software
•PSI
•QAD
•Ramco Systems
•Relevant
•ROI Systems
•Ross Systems
•SAP
•Scala Business Solutions
•Silverprod
•SoftBrands
•SSA GT
•SSI
•Syspro
•Verticent
•Visibility
•XeBusiness
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SCM DefinitionSCM Definition
Supply Chain Management is the process of improving
the distribution from supplier to the final customer tosatisfy customer requirements.
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SCM ArchitectureSCM Architecture
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Impacts of SCMImpacts of SCM
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SCM Software SuppliersSCM Software Suppliers
•ABB
•Adexa
•Applied Materials
•AspenTech
•Brooks Automation
•Descartes
•EXE Technologies
•FWL Technologies
•Honeywell
•i2 Technologies
•Invensys
•Irista
•J.D. Edwards•Kewill Systems
•Logility
•Manhattan Associates
•Manugistics
•MARC Global Systems
•McHugh Software International
•Optum
•OSIsoft
•Provia
•Retek
•SAP
•Siemens
•Swisslog
•Yantra
•Yokogawa
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Integration of ERP & SCMIntegration of ERP & SCM(Simple View)(Simple View)
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Resultant Improvements due to AutomationResultant Improvements due to Automation
In Business DomainIn Business Domain
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ProblemDefinition
Business
DomainAutomation
Plant DomainAutomation
EnterpriseResource Planning
Supply ChainManagement
ResultantImprovements
Objectives
Objectives
Control SystemStructure
Industrial NetworkDevelopment
Control Algorithm(APC)
Case StudiesFuture Trends
Conclusion
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INDUSTRIAL PYRAMIDINDUSTRIAL PYRAMID
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PLANT DOMAIN AUTOMATIONPLANT DOMAIN AUTOMATION
OBJECTIVEOBJECTIVE
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CONTROL AND OPTIMIZATIONCONTROL AND OPTIMIZATION
ARCHITECTUREARCHITECTURE
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CONTROL HIERARCHY TYPICALCONTROL HIERARCHY TYPICAL
TIMINGTIMING
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Typical Cost/Benefit Relation due to PlantTypical Cost/Benefit Relation due to Plant
Domain Automation based onDomain Automation based on
Automation LevelAutomation Level
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Plant Automation Requirement
Ø Control System Structure
Ø Data Communication Network
Ø Devices ( sensor & actuator )
Ø Control Algorithm
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ProblemDefinition
Business
DomainAutomation
Plant DomainAutomation
EnterpriseResource Planning
Supply ChainManagement
ResultantImprovements
Objectives
Objectives
Control SystemStructure
Industrial NetworkDevelopment
Control Algorithm(APC)
Case StudiesFuture Trends
Conclusion
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History of Automation in Industries
ØRefining industry has been a pioneer in automating its processing
operation because of:
• Mass production of automobile in early 1900s
• petroleum product requirement in World War I
• increasing of demands for fuel in World War II(30000barrels/day in 1940 to 580000 b/d in 1945)
ØThus increasing:
• plant size
• production quantity MORE AUTOMATION
• quality
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History of Automation in Industries
Ø (1943) invention of CRT:use of panel board graphic display in a
control room
Ø(1948) miniature pneumatic instrument (birth of PID controller).
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History of Automation in Industries
Ø(1956 post-war )Birth of DDC by invention of solid-state and
transistor
Ø(1960s)Appearance of low-cost digital mini-computer and data
logging was introduced into the control room
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History of Automation in Industries
Ø (mid-1960s to mid-1970s)Technical turmoil era(birth of PLC)
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Ø(1978)microprocessor era began by birth of integrated circuitchip and therefore use of PID algorithm as built-in software
(appearance of DCS)
History of Automation in Industries
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Ø(1980s & 1990s )birth and development of smart distributed
control system.
History of Automation in Industries
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1. Analog Controller
• Pneumatic PID controller
• Hydraulic PID controller
2. Digital Controller
• Centralized Control System(DDC)
• Distributed Control System(DCS)
• Smart Distributed Control System(FCS)
Control Systems StructureControl Systems Structure
Why toward digital signal ?• High interference immunity
• Easy data storage
• Flexible processing
• Various transmission option
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Digital Controller ProgressDigital Controller Progress
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Digital ControllerDigital Controller
Ø Centralized Control System(DDC):
Disadvantages:
• In large scale system the total number of I/O signals widelyincrease that is beyond the capacity of computer hardware.
• not flexible
• unable to take best use of on-line technique
• slow to take advantage of improved technology
• high installation cost• Failing of central control unit stop working of all the system.
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Digital ControllerDigital Controller
Ø DCS (Distributed Control System):
Advantages :
• lower installation costs due to the interconnection
and grouping of control modules ·• lower maintenance cost
• better system reliability and flexibility
• ease of configuring the process
• concept and ease of expandability
• More real-time capability
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Digital ControllerDigital Controller
DCS :
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DCS•Convert analog signal to digital
•Run PID algorithm•Convert digital signal to analog
•Send signal to final control element•ALL OTHER DCS DUTIES
Transmitter •Measure ONE parameter
•Convert digital signal to analog•Transmit to control System
•Using 1 pair of wires
Final Control Element•Receive analog signal
•Position valve•Using 1 pair of wires
Conventional Control
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78
ANALOG CONTROL LOOPCONTROLLER
4-20 mA
4-20 mA
CONTROLROOM
FIELD
PROCESSVARIABLE
DT=DEAD TIME
PID
D/AuPA/D
D/A
uP
A/D
SIGNALCONDITIONING
FINALCONTROLELEMENT
TRANSMITTER
1
2
3
1
2
3
DT
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Digital ControllerDigital ControllerØ Smart Distributed Control System (FCS):
Interconnection of low level industrial devices as well as controldevice on a single physical communication link using digitalcommunication.
Advantages :
• Increasing process safety through Abnormal Situation
Management(ASM)($20 billion/year is losses in petrochemical
industry in US)
• Increasing product quality
• Increasing occupational health• Decreasing environmental hazards
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Digital ControllerDigital ControllerØ Smart Distributed Control System(FCS) :
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Digital ControllerDigital Controller
ØMoving from DCS toward FCS :
FCS Has a Leaner Hierarchy
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FCS Has a Leaner Hierarchy• DCS • FCS
Power SuppliesControl Cards
Input CardsOutput Cards
Fusing
Marshaling
Termination
Cards
4-20 mA
PID
FieldbusPID
• Hybrid
PID
Fieldbus
PID
Hybrid Control
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Hybrid Control
Control Using Fieldbus
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DCS• Run PID algorithm (now optional)• Send signal to final control element• ALL OTHER DCS DUTIES
Control Using Fieldbus
DevicesTransmitter
• Measure MULTIPLE parameters• Pure digital signal transmitted• PID algorithms on board• Network style communication
Final Control Element• Receive digital signal• Position valve• PID algorithms on board• Network style communication
Up to 1900
Meters in length
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EXPANDED VIEW
DCS
TRADITIONAL 4-20 MAVIEW STOPS AT I/O SUBSYSTEM
FCS
FIELDBUS
FIELDBUS VIEWEXTENDS INTO INSTRUMENTS
INPUT/OUTPUTSUBSYSTEM
CONTROLLER
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LOCAL AREA NETWORKSUPERVISORY
SYSTEM
FIELDBUS
FIELDDPT101 PT101 FCV101 DPT102 PT102 FCV102
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Field Instrument Interfacing
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Field Instrument Interfacing• DCS
– Input/output cards 8-16 channels
• Rarely redundant
– One fault = 8 loops lost
• Redundant mainly in
petrochemical industry (which
coincidentially uses galvanic
isolators)
– One fault = no problem
– One device per wire
– One fault = 1 loop lost
– No master
– = no problem
• FCS
– No I/O cards
– = no problem
– Many devices per wire
• 12-16 devices per wire
– One fault = 8 loops lost
• 2-4 devices per barrier/repeater – One fault = 1 loop lost
– Requires communication master
• Backup master
– Fault = no problem
N d F I f i F D i i M ki
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Need For Information For Decision Making
• 4-20 mA is an information bottle-neck
• With Fieldbus system:
– Access to all device information:
• instrument identification, location• status of PVs and MVs etc.
• ambient conditions
• diagnostics
• configuration
• instrument characteristics• calibration information
– date
– who
– method
– location
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Conventional x Fieldbus
15,3 mA
DCS
TAG =LIC-012VALUE =70.34UNIT =M3
STATUS=GOODALARM = Y/N
FCS
TRANSMITTERTRANSMITTER
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Increased Process and Instrument
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Increased Process and Instrument
Information
• DCS:
Sufficient control
information. Insufficient
management
information.
• FCS:
Slight increase in control
information. Vast
increase in management
information
MANAGEMENTINFORMATION
CONTROLINFORMATION
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Need reduced process variability & down-time
• Though DCS perform a good job of process control, they do
not cater for management of the field instruments.
• With Fieldbus system:
– Being able to see the field instruments bring important benefits:
• On-line status and diagnostics information enables predictive
maintenance.
• Access to identification and calibration data in the device enables better
calibration management.
• I.e. Instrument Management may be used to ensure that
devices are in good condition increasing availability and that
the process is at its optimum values, resulting in higher
quality and long term savings.
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Predictive Maintenance
• Schedule maintenance based on device diagnostics
• Schedule calibration based on device calibration
data storage
• Perform maintenance and calibration of severaldevices at the same time with fewer shut-downs
• Perform maintenance and calibration at scheduled
shut-downs, not at emergency shut-downs.
• Increase plant availability
• Don’t waste time on maintenance of equipment
which does not need it (preventive maintenance).
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95
TWO WAYCOMMUNICATION
DPT + PID FCV TT PT
OPERATIONSTATION MAINTENANCETOOL
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96
Status• The engineering software may be used for detail
investigation of non-good status.
– Good Normal
– Bad E.g. sensor failure
– Uncertain E.g. out of calibrated range
• Provides automatic failsafe action in outputdevices when failures in sensors or communication etc. occurr.
• Assures cascade initialization (bumplesstransfer) and anti-reset-windup and many other functions.
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Need For Lower Maintenance Costs
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Need For Lower Maintenance Costs
• Cost of maintenance, upgrade and expansion of proprietary DCS is skyrocketing.
• With a Fieldbus system: – Interoperability ensures:
• Buy spares from third parties to keep price down.
• Buy spares from those that stock, i.e. user need not keep stock.
• The best of its kind device may be used independent of manufacturer.
– Open technology means:
• Knowledge to maintain, expand and modify the system
yourself.
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106
Need for easier documentation
• DCS and PLC card system and point-to-point wiring
requires a lot of documentation.
• With a Fieldbus system: – Drawings are simplified as wiring is drastically reduced and devices
are connected in parallel.
– Panel and cabinet drawings reduced.
– Automatic generation of configuration documentation as
configuration is done. Export/import of files to spreadsheets. – Comments and notes may be included in the configuration.
– Complete field device data in Fieldbus devices.
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WIRING & HARDWARE SAVINGS
DCS
4-20 MA
I.S I.S. I.S.
I/OSUBSYSTEM
CONTROLLER
FCS
I.S.
FIELDBUS
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Need For Scalable Systems
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Need For Scalable Systems
• The cost of expanding a DCS with one or a few loops istoo high.
• With a Fieldbus system:
– A few devices can be added without adding interfaces or even
wires.
– Even major expansion requires a minimum of hardware since
input, output and control cards are virtually eliminated.
– Systems with a number of loops ranging from 1 to more than
1000 (32,000 points) are possible.
• I.e. you need not buy a system which is larger than you
need or can afford, being assured it can be expanded as
the plant grows and changed as your requirements
change.
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Fieldbus Makes FCS Extremely
Scalable
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- Safety Without Redundancy?
• FCS also has redundant operator consoles
• FCS also has redundant power supplies
• FCS has no controller card, hence
redundancy not applicable, no problem.
• The Difference between DCS and FCS liesin the interfacing of the field devices...
From DCS to FCS fault tolerance
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• DCS (Redundancy)
– An input or output card fault affects
8 loops
– 1 loop with redundant I/O cards
• FCS (Fault isolation)
– A wire fault affects 8 loops
– 1 loop with barrier/repeater
1... 81... 8
1...8 1...8
Control
OI II O O
1...4 1...2
OI II O O
Control
OI II O O
FAULT TOLERANT
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118
FAULT TOLERANT
• Redundant Fieldbus power supplies
• Redundant operator stations
• Additional backup LAS(Link Active Scheduler ) in the fielddevices
• Independent interface CPU for LAS, bridge and blocks.
• Devices distributed over several buses with few loops.
• Critical loops may have individual buses
• Operator station power is backed up by UPS
• Output devices handle failsafe conditions on their own.Last value or predetermained safety position.
• Sensor, device or communication failure invokes failsafeaction in output devices.
• Number of modules and components (CPU, input or outputcards) is minimized reducing failure probability.
FAILURE EFFECTS
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119
FAILURE EFFECTS• Failure of one operator station does not affect
another. In case of station failure system may beoperated from another.
• Failure, connection or removal of a field devicedoes not affect another.
• Control may continue in the absence of any host.• Power supply switchover is automatic and does
not affect the system.
• Failure in any Fieldbus does not result in loss of
control or the operators view except with respectto the loops or I/O on a single Fieldbus.
• LAS switchover is automatic and does not affectthe system.
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120
DRIVERA / B
DRIVERA / C ?
STANDARDFIELDBUS
INTERFACE
MANUFACTURERB
MANUFACTURERC
MANUFACTURERD
MANUFACTURERD
MANUFACTURERB
MANUFACTURERC
FIELDBUS = OPEN SYSTEM
Evolutions in Smart Transmitters
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TransmittersTransmitters Benefits
•Multiple measurements fromsingle transmitter
•Lower total installed &maintenance costs
•Pure digital signal output •No D/A errors, greater accuracy-repeatability
•PID algorithms on board • Less burden on the DCS truedistributed control
•Network communication•Communication can occur directlyfrom transmitter to valve
Evolutions in Smart Transmitters
Features
Evolutions in Smart DCS
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Features Benefits
•More data available•More variables for better control andhistory of process events & changes
•Pure digital signal input•No A/D errors, greater accuracy-repeatability less I/O hardware
••PID algorithmsPID algorithms in field devicesin field devices ••Less burdenLess burden on the DCS trueon the DCS truedistributed controldistributed control
D C SD C S
Evolutions in Smart DCS
Evolutions in Smart Valve
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Features Benefits
•Multiple mission device •Lower total installed &maintenance costs
•Pure digital signal input •No A/D errors, greater accuracy-repeatability
•PID algorithms on board •Less burden on the DCS truedistributed control
•Network communication•Communication can occur directlyfrom transmitter to valve
ValveValve
Evolutions in Smart Valve
Digital Control System Elements
( i f i )
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DCS• Run PID algorithm (now optional)• Send signal to final control element• ALL OTHER DCS DUTIES
Transmitter • Measure MULTIPLE parameters• Pure digital signal transmitted• PID algorithms on board• Network style communication
Final Control Element• Receive digital signal• Position valve• PID algorithms on board• Network style communication
Up to 1900
Meters in length
(more details after Evolution)
FIELDBUS CONTROL LOOP
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125
FIELDBUS CONTROL LOOP
DT=DEAD TIMETR=PROCESS TIME RESPONSE
uP
D/A
SIGNALCONDITIONING
+PID
FINALCONTROLELEMENT
1
23
1
2
3
DT
uP
A/D
CONTROLLABILITY = DT /TR
BETTER = SMALLER
FIELD
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Smart DCS(Fieldbus) Applications
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( ) pp
Ø Manufacturing AutomationCar manufacturing
Bottling systems
Storage systems
Ø Building Automation
Traffic automation
Heating, air-conditioning
Ø Process AutomationPurification plants
Chemical and petrochemical industry
Paper and textile industry
Ø Power industry and power distributionPower plants
Switching gears
e.g. BMW manufacturing,Regensburg, Germany
e.g. Bibliothèque Nationalede France, Paris, France
e.g. Darboven Coffee,Hamburg, Germany
e.g.. Warsaw Subway,Warsaw, Poland
e.g. Oil refinery, Esmeralda,Ecuador
e.g. Polymer storage tank,Scarborough, Canada
e.g. bottling plantTaunton, UK
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Basic System Configuration
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y g
Controller
Operation / Engineering
Control Bus
4 - 20mA Digital
Fieldbus Fieldbus
Scalable System Architecture
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ODS
< Exaquantum >
y
Ethernet
Small TypeController
HMIEngineering
Large TypeController
Control Bus
4 - 20mA Digital
Safety Control System< Pro-Safe >
ERP
Fieldbus
OPC Server
Fieldbus
Router
Wide Area Communication Gateway
Console Type HMI DeviceManagement
Process Automation System< CENTUM >
Remote i/o
ProblemDefinition
Enterprise
Objectives
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BusinessDomain
Automation
Plant Domain
Automation
EnterpriseResource Planning
Supply Chain
Management
ResultantImprovements
Objectives
Control System
Structure
Industrial NetworkDevelopment
Control Algorithm(APC)
Case StudiesFuture Trends
Conclusion
Evolution in Industrial Data CommunicationEvolution in Industrial Data Communication
N t k(B )N t k(B )
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Network(Bus)Network(Bus)
Protocol
Features& Benefits
Pneumatic
3-15 PSI
50’s
Intrinsic Safety
4-20 mA
70’s
Remote-Re-ranging
Protocol Dependence
SMART
HART
DE
FOXCOMBRAIN
80’s
FIELDBUS
Protocol Unification
Interoperability
90’s
Electro-Mechanical
10-50 mA
60’s
Local Adjustments
Pneumatic ElectronicAnalog Hybrid Digital
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• جن
Instrument Society of America (ISA),
International Electrotechnical Commission (IEC),
IEC/ISA SP50 Fieldbus committee
Profibus(German national standard) and
FIP (French national standard)
•
ين
گ
.پ
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• 1992
گ
گ
گ
Interoperable Systems Project (ISP)
Factory Instrumentation Protocol (WorldFIP)
• جت من جتISA SP50من .
رب• پ 1994WorldFIPISP Fieldbus Foundation
من من گ .پ
مب• – BPمن حت يت . ني
گ – جيEssoپ پ ني ژ
.جنWorldFIPISP پ
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Desirable Network(Fieldbus)Desirable Network(Fieldbus)
CharacteristicsCharacteristicsØO
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CharacteristicsCharacteristicsØOpen
ØStandardØAdvanced Functionality, Services
ØReliable, High Performance
ØInteroperableØPlug & Play
ØVendors’ Support
ØEconomicalØSimple, Easy
FieldbusesFieldbuses
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FieldbusesFieldbuses
Ø Field device protocol that process use
mostly:
• Foundation Fieldbus
• HART
• Profibus
What is Foundation Fieldbus?What is Foundation Fieldbus?
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ØFOUNDA T I ON f i e l d b u s ( F F) i s a n a l l - d i g i t a l ,
s e r i a l , t w o - w a y c om m u n i ca t i o n s s y s t e m t h a t s e r v e s a s a Lo c a l A r e a N e t w o r k ( L A N ) f o r
f a c t o r y / p l a n t i n s t r u m e n t a t i o n a n d co n t r o l
d e v i c e s
Control &monitoring
DCS
Fieldbus
Process
F
T
P
• I ntell igent f ield devices and systems
• Digital, two way, mul ti-drop
• Communication system for i nstruments and other automation equipment
• Self-Diagnostics
• Local controllabil ity
Benefits of Foundation FieldbusBenefits of Foundation Fieldbus
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• Device Interoperability
• Enhanced Process Data
•
Expanded View of the Process
• Improved Plant Safety
• Easier Predictive Maintenance
• Reduced Wiring and Maintenance Costs
What is HART?What is HART?
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Ø HART ® Field Communications Protocol is digitallyenhanced 4-20 mA smart instrument communication.
Digital master/slave communicationsimultaneous with the 4-20 mA analogsignal
The HART protocol has the capabilityto connect multiple field devices on the
same pair of wires
HART SpecificationHART Specification
ØDi it l C bilit
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• Access to all instrument parameters & diagnostics
• Supports multivariable instruments
• On-line device status
ØDigital Capability
ØAnalog Compatibility
ØInteroperability
ØAvailability
• Simultaneous analog & digital communication
• Compatible with existing 4-20 mA equipment & wiring
• Fully open de facto standard
• Common Command and data structure
• Field proven technology with more than 1,400,000 installations
• Large and growing selection of products
• Used by more smart instruments than any other in the industry
BENEFITS OF HART COMMUNICATIONBENEFITS OF HART COMMUNICATION
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BENEFITS OF HART COMMUNICATIONBENEFITS OF HART COMMUNICATION
Ø Improved Plant Operations
- Cost Savings in Commissioning
- Cost Savings in Installation
Ø Improve Measurement Quality
Ø Cost Saving in Maintenance
Ø Operational Flexibility
Ø Instrumentation Investment Protection
Ø Using benefits of digital instrument
What is Profibus?What is Profibus?
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• Profibus is a substitute for the analog
4 to 20 mA technology.• Profibus connects automation systems
and process control systems with field
devices
• Profibus achieves cost savings of over
40% in planning, cabling, commissioning
and maintenance
ØPROFIBUS is a vendor-independent, open field busstandard for a wide range of applications in manufacturingand process automation
يت
خم
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F:
B:
V:
D:
S:
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F:
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ProblemDefinition
EnterpriseResource Planning
Objectives
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BusinessDomain
Automation
Plant Domain
Automation
Resource Planning
Supply Chain
Management
ResultantImprovements
Objectives
Control System
Structure
Industrial NetworkDevelopment
Control Algorithm(APC)
Case StudiesFuture Trends
Conclusion
Advanced Process ControlAdvanced Process Control
(APC)(APC)
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(APC)(APC)
• Long time delay
• Frequent and severe disturbance
• Multivariable interaction
• Physical and environmental constraints
• Dynamic market supply and demand factor effect on product(higher product quality & narrowing economic margins)
• Highly interactive and variable dynamics of the process andsystem parameters
ØProcess industry Properties:
This makes the control of anThis makes the control of an plantplant form a very challenging andform a very challenging anddaunting task for even the best tuned PID controller .daunting task for even the best tuned PID controller .
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APC ControllerAPC Controller
( l i )( l i )
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(general view)(general view)
ØTh b kb f ll APC t ll M lti i bl M d l B d
APC Controller DutiesAPC Controller Duties
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ØThe backbone of all APC controllers are Multivariable Model-BasedPredictive Controller(MMBPC).
ØDifferent formulations of MPC differ in :• robustness
• fault-tolerance
Ø R i t
APC Controller ElenentsAPC Controller Elenents
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• Process Model: provide reliable estimate for important processquantities which are either immeasurable or difficult to measure thatused for controller adaptation.
• Real-Time Model-Based Multivariable Optimization algorithm
• Real-Time Model-Based Multivariable Prediction algorithm
• Supervisory control for fault tolerant
• Intelligent performance monitoring of process equipment
• Process Simulator(Dynamic Simulation): understand the underlyingprocess and how it can be operate at
Ø Requirement:
APC ControllerAPC ControllerTheimagepart with relationship ID rId3wasnot found in thefile.
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Application area of Dynamic SimulationApplication area of Dynamic SimulationApplication area of Dynamic SimulationApplication area of Dynamic Simulation
Ø Benefits:
APC Controller BenefitsAPC Controller Benefits
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Ø Benefits:
• Provide robust control
• Disturbance rejection
• Better constrain handling
• fault detection and monitoring capability that reduce the
number of plant shutdown• provide valuable data for scheduling
• increase production rate and quality
• safety
• reliability• reduction raw material
• reduction energy consumption
• environmental pollution control
APC PerformanceAPC Performance
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Ø APC Performance: APC push process set point close to its limits or
constrains .
APC Application AreaAPC Application Area
Ø APC benefit example:
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Ø APC benefit example:
• Ethylene plant: production increase by 2 to 3 percent
• polymer plant: production 2% & throughput 3%
• refinery with two atmospheric crude units: increase totalproduction value through quality control to gain 1.7 year’spayback time
•Generally accurate control means less safety margin and thistogether with the feed-pushing control gives 1 to 5 percentincrease in throughput.
APC RealAPC Real--Time ApplicationTime Application
Ø APC benefit example:(Universal Adaptive Control)
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Ø APC benefit example:(Universal Adaptive Control)
Management Objectives
Process Improvement (general view)
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ProblemDefinition
Business
EnterpriseResource Planning
Objectives
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BusinessDomain
Automation
Plant Domain
Automation
Supply Chain
Management
ResultantImprovements
Objectives
Control System
Structure
Industrial NetworkDevelopment
Control Algorithm(APC)
Case StudiesFuture Trends
Conclusion
Case Study 1Case Study 1
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Background. ARCO Alaska, Inc. is responsible for exploring, developingand producing ARCO’s oil and gas interests in Alaska and surroundingoffshore waters.
I. Design criteria
v Reduced wiring and terminations
v Modular system design
v Reduced maintenance costs
v Useful diagnostic tools
Case StudyCase Study 11
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II. Fieldbus solution
ü Simplified wiring
ü Easier installation
ü Reduced operator time
ü Reduced engineering time
Benefits
Case StudyCase Study 11
Case Study 1Case Study 1
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• 69% reduction in comparable wiring costs
• 98% reduction in home run wiring
• 90% reduction in configuration time to add an expansion well
• 92% reduction in engineering drawings to add or expand a well
• 83% reduction in instrument QA / QC
III. Results: The company have a total cost savings of $621k per drill site.
This includes savings of approximately $206k in materials, $324k in labor, and$91k in engineering
Specific savings attributed to the following
yy
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Case StudyCase Study 22
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Case StudyCase Study 22
Case StudyCase Study 22
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Case Study 2Case Study 2
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Case StudyCase Study 22
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Case StudyCase Study 22
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Case StudyCase Study 33
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Background. DETEN Chemical S.A. Located in petrochemical zone of camacari , bahia Brazil ,produces linear alkyl benzene , basic raw materialused in detergents by 146000 tpy production capacity.
I. Challenge
v More reliability
v Flexibility
v long/short term economic benefits
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II. APC & Fieldbus solution
ü Process optimization
ü Report generation
ü Improve Manufacturing throughput
ü Trend Analysis
Benefits
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• 97% reduction in wiring costs
• Reduce installation time up to 23 day
III. Results: The company have a total Project savings approximately %32
to %45
Specific savings attributed to the following
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Case Study 4Case Study 4
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ProblemDefinition
BusinessDomain
EnterpriseResource Planning
Supply Chain
Objectives
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Automation
Plant Domain
Automation
Supply ChainManagement
ResultantImprovements
Objectives
Control SystemStructure
Industrial NetworkDevelopment
Control Algorithm(APC)
Case StudiesFuture Trends
Conclusion
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Hybrid Digital Network Hybrid Digital Network
New
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Generat ion
Overall Business System LandscapeOverall Business System Landscape
in Process Manufacturingin Process Manufacturing
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Enterprise
Plant
e-business e-businessSCM
Supply Chain Management
ERPEnterprise Resource Planning
CRM
Customer
Relationship
Management
SRM
Supplier
Relationship
Management
DCS
Distributed Control System
Design Engineering
Plant Simulators
MESManufacturing Execution
System
APS Advanced Planning
& Scheduling
FCSFinite Capacity
Scheduling
EE--Commerce based on ITCommerce based on IT
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Typical Improvement due to Automation,Typical Improvement due to Automation,
Control and Integrated OperationControl and Integrated Operation
ProjectsProjects
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ProjectsProjects
Typical Performance due to Automation,Typical Performance due to Automation,
Control and Integrated OperationControl and Integrated Operation
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ProjectsProjects
Typical Incremental Payback Intervals dueTypical Incremental Payback Intervals due
to Applying Automation and Advancedto Applying Automation and Advanced
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ControlControl
Eight Practices Necessary to make an IntegratedEight Practices Necessary to make an Integrated
Operation or an AutomationOperation or an Automation
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Project a SuccessProject a Success