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Transcript of 04 02 Schillinger Jacob Siemens Advanced Planning and ... · 6lhphqv 3/0 6riwzduh 7hfqrpdwl[3odqw...
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Advanced Planning and Scheduling collaboration between Plant Simulation and PreactorPlant Simulation User Conference, 2017, Stuttgart
Realize innovation.Restricted © Siemens AG 2017
Realize innovation.
Jakob Schillinger
Siemens Industry Software GmbHDigital Factory DivisionProduct Lifecycle Management
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
ApproachAdvanced Planning and Scheduling collaboration between Plant Simulation and Preactor
Advanced Planning andScheduling
Collaboration betweenPlant Simulation and
Preactor
Scalability Granularity Repeatability Credibility
Restricted © Siemens AG 2017
Siemens PLM Software
ApproachAdvanced Planning and Scheduling collaboration between Plant Simulation and Preactor
Advanced Planning andScheduling
Collaboration betweenPlant Simulation and
Preactor
Scalability Granularity Repeatability Credibility
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
Advanced Planning and Scheduling
LowDetail
HighDetail
Years Months Weeks Days Hours Minutes
Scheduling
• What to make• When to make it• How much to make• Where to make it• Materials Required• Resources Required
Planning
Scheduling • How best to make it • Execute against plan• Sequencing• Synchronization• Priorities, constraints
and conflicts• Monitoring execution• Managing change
Planning
Restricted © Siemens AG 2017
Siemens PLM Software
Advanced Planning
A Strategic Decision ToolConsiders forecast and long term orders to decide feasibility and set general direction of production;
Dynamically sets target stock levels to meet future demand;
Load balance across multiple resources considering e.g. constraints, materials shelf life;
Supports major decisions of production capacity:• Extend work force• Extend resource capacity• Extend factories
Planning
SIT Preactor AP
Forecast Demand Starting Stock Orders
Planning periodStock control parametersCapacity
ERP
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
Advanced Scheduling
A Tactical Decision Support ToolConsiders detailed production demand to provide production sequence, work to list;
Predicts effects of change in production, interruptions, machine breakdown, scrap;
Reacts to real time production efficiency;
Supports decisions:• Overtime• Order prioritization• Split production batches• Due Date Negotiation• Order Promising (CTP/ATP)
Planning
SIT Preactor AP
Forecast Demand Starting Stock Orders
Planning periodStock control parametersCapacity
Scheduling
SIT Preactor AS
Shift Patterns Detailed constraintsSequencing Rules
ERP
Restricted © Siemens AG 2017
Siemens PLM Software
Tight integration with both ERP and MES solutions allows rapid response to changes.
ERP
MES/SCADA
SIT Preactor AS
Order Amendments
Material Availability
Order Progress
Breakdowns
Schedule
Schedule
Analyse
Generate
Update Release
Execute
Sequence
NewOrder Update
Demand
Constraints Schedule
The most successful companies are those using lean scheduling software. By connecting such systems to their ERP, MES and shop-floor data collection, they are able to monitor the state of execution against plan.
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
Basic APS Functionalities
Manual scheduling
Automated forward scheduling
Visualize delivery challenges
Visualize production sequence
Solve challenges with backward scheduling
Visualize resource usage and utilization
Restricted © Siemens AG 2017
Siemens PLM Software
ApproachAdvanced Planning and Scheduling collaboration between Plant Simulation and Preactor
Advanced Planning andScheduling
Collaboration betweenPlant Simulation and
Preactor
Scalability Granularity Repeatability Credibility
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
The Siemens DifferenceThe Digital Enterprise Software Suite
Plant DataServices
Product Design and EngineeringNX Solid Edge Fibersim
Collaboration and Lifecycle ManagementTeamcenter (Digital Enterprise Backbone)
Digital ManufacturingTecnomatix NX CAM
Manufacturing Execution SystemSIMATIC IT Camstar
Quality Management SystemQMS
SCADA
Automation EngineeringTIA Portal
SIMATIC/ SINUMERIK/SINAMICS/
SIRIUS
Lifecycle AnalyticsSimcenter MindSphere (Plant) Omneo (Product)
PLM
MOM
TIA
APSSIMATIC IT Preactor
Restricted © Siemens AG 2017
Siemens PLM Software
The Siemens DifferenceThe Digital Enterprise Software Suite
Plant DataServices
Product Design and EngineeringNX Solid Edge Fibersim
Collaboration and Lifecycle ManagementTeamcenter (Digital Enterprise Backbone)
Digital ManufacturingTecnomatix NX CAM
Manufacturing Execution SystemSIMATIC IT Camstar
Quality Management SystemQMS
SCADA
Automation EngineeringTIA Portal
SIMATIC/ SINUMERIK/SINAMICS/
SIRIUS
Lifecycle AnalyticsSimcenter MindSphere (Plant) Omneo (Product)
PLM
MOM
TIA
APSSIMATIC IT Preactor
SIEMENS Plant Simulation associatedwith the pre production planning andcontrol activities. Optimization in SIEMENS Plant Simulation will impactlater planning algorithms and parameters.
SIEMENS Preactor is utilized in themanufacturing operations managementarea for classic production planning andcontrol acticities. Optimization in SIEMENS Preactor will impact plans, schedules and utilizations based on material availability, downtimes andothers.
1
1
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
The Siemens DifferenceThe Digital Enterprise Software Suite
Plant DataServices
Product Design and EngineeringNX Solid Edge Fibersim
Collaboration and Lifecycle ManagementTeamcenter (Digital Enterprise Backbone)
Digital ManufacturingTecnomatix NX CAM
Manufacturing Execution SystemSIMATIC IT Camstar
Quality Management SystemQMS
SCADA
Automation EngineeringTIA Portal
SIMATIC/ SINUMERIK/SINAMICS/
SIRIUS
Lifecycle AnalyticsSimcenter MindSphere (Plant) Omneo (Product)
PLM
MOM
TIA
APSSIMATIC IT Preactor
2
SIEMENS Plant Simulation associatedwith the pre production planning andcontrol activities. Optimization in SIEMENS Plant Simulation will impactlater planning algorithms and parameters.
SIEMENS Preactor is utilized in themanufacturing operations managementarea for classic production planning andcontrol acticities. Optimization in SIEMENS Preactor will impact plans, schedules and utilizations based on material availability, downtimes andothers.
2
2
Restricted © Siemens AG 2017
Siemens PLM Software
Collaboration between Plant Simulation and Preactor
SIEMENS Preactor and SIEMENS Plant Simulation usage in the loop.
SIEMENS Preactor utilized to validateSIEMENS Plant Simulation models.
SIEMENS Plant Simulation utilized todefine SIEMENS Preactor structures,
rules and algorithms beforeimplementation.
SIEMENS Plant Simulation utilized tooptimize SIEMENS Preactor structures,
rules and algorithms.
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
Collaboration between Plant Simulation and Preactor
SIEMENS Preactor and SIEMENS Plant Simulation usage in the loop.
SIEMENS Preactor utilized to validateSIEMENS Plant Simulation models.
SIEMENS Plant Simulation utilized todefine SIEMENS Preactor structures,
rules and algorithms beforeimplementation.
SIEMENS Plant Simulation utilized tooptimize SIEMENS Preactor structures,
rules and algorithms.
High effort in both tools to create outputthat mainly differs due to alignment ofproduct capabilities and planningchallenges.
Valid approach when conducting multiple projects with similar planning challengesand structures.
Great approach providing a flexible sandbox environmant to test system andAPS behaviour before implementation.
Valid approach providing a flexible sandbox environment to optimize fixedsystem against changeable APS behaviour.
11
Restricted © Siemens AG 2017
Siemens PLM Software
Collaboration between Plant Simulation and Preactor
SIEMENS Preactor and SIEMENS Plant Simulation usage in the loop.
SIEMENS Preactor utilized to validateSIEMENS Plant Simulation models.
SIEMENS Plant Simulation utilized todefine SIEMENS Preactor structures,
rules and algorithms beforeimplementation.
SIEMENS Plant Simulation utilized tooptimize SIEMENS Preactor structures,
rules and algorithms.
High effort in both tools to create outputthat mainly differs due to alignment ofproduct capabilities and planningchallenges.
Valid approach when conducting multiple projects with similar planning challengesand structures.
Great approach providing a flexible sandbox environmant to test system andAPS behaviour before implementation.
Valid approach providing a flexible sandbox environment to optimize fixedsystem against changeable APS behaviour.
2
2
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
Collaboration between Plant Simulation and Preactor
SIEMENS Preactor and SIEMENS Plant Simulation usage in the loop.
SIEMENS Preactor utilized to validateSIEMENS Plant Simulation models.
SIEMENS Plant Simulation utilized todefine SIEMENS Preactor structures,
rules and algorithms beforeimplementation.
SIEMENS Plant Simulation utilized tooptimize SIEMENS Preactor structures,
rules and algorithms.
High effort in both tools to create outputthat mainly differs due to alignment ofproduct capabilities and planningchallenges.
Valid approach when conducting multiple projects with similar planning challengesand structures.
Great approach providing a flexible sandbox environmant to test system andAPS behaviour before implementation.
Valid approach providing a flexible sandbox environment to optimize fixedsystem against changeable APS behaviour.
3
3
Restricted © Siemens AG 2017
Siemens PLM Software
Collaboration between Plant Simulation and Preactor
SIEMENS Preactor and SIEMENS Plant Simulation usage in the loop.
SIEMENS Preactor utilized to validateSIEMENS Plant Simulation models.
SIEMENS Plant Simulation utilized todefine SIEMENS Preactor structures,
rules and algorithms beforeimplementation.
SIEMENS Plant Simulation utilized tooptimize SIEMENS Preactor structures,
rules and algorithms.
High effort in both tools to create outputthat mainly differs due to alignment ofproduct capabilities and planningchallenges.
Valid approach when conducting multiple projects with similar planning challengesand structures.
Great approach providing a flexible sandbox environmant to test system andAPS behaviour before implementation.
Valid approach providing a flexible sandbox environment to optimize fixedsystem against changeable APS behaviour.
4
4
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
Comparison Plant Simulation Model and Preactor Schedule
Plant Simulation model, structures and reporting
Importing plant simulation data
Plant Simulation model in Preactor
Priorities based planning
Visualize Resource Usage
Visualize Utilization
Restricted © Siemens AG 2017
Siemens PLM Software
ApproachAdvanced Planning and Scheduling collaboration between Plant Simulation and Preactor
Advanced Planning andScheduling
Collaboration betweenPlant Simulation and
Preactor
Scalability Granularity Repeatability Credibility
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
ScalabilityProduction Planning and Control vs. Integrated Development Environment
Preactor
Forecasts
Bill ofResources
Routings
Bill ofMaterials
Customer Orders
InventoryReplenish
-ment
Work Orders
SupplierOrders
PurchaseOrders
Gantt Chart
ProductionOrders
Plant Simulation
Forecasts
Bill ofResources
Bill ofMaterials
Availability
AGVS speed
Control Logic
ShiftModel
Layout
PurchaseOrders
Bill ofResources
ProductionOrders
Preactor supports solving planning andscheduling challenges in a productionplanning and control environment.
Projects with focus on productionplanning and control and holistic datawill be succesfull in Preactor.
Plant Simulation is a flexible integrateddevelopment environment specialisingon business, logistics and productionneeds.
Projects with sufficient data andprocess comprehension detailing thecurrent challenge will be succesfull in Plant Simulation.
1
1
Restricted © Siemens AG 2017
Siemens PLM Software
ScalabilityProduction Planning and Control vs. Integrated Development Environment
Preactor
Forecasts
Bill ofResources
Routings
Bill ofMaterials
Customer Orders
InventoryReplenish
-ment
Work Orders
SupplierOrders
PurchaseOrders
Gantt Chart
ProductionOrders
Plant Simulation
Forecasts
Bill ofResources
Bill ofMaterials
Availability
AGVS speed
Control LogicShift Model
Layout
PurchaseOrders
Bill ofResources
ProductionOrders
Preactor supports solving planning andscheduling challenges in a productionplanning and control environment.
Projects with focus on productionplanning and control and holistic datawill be succesfull in Preactor.
Plant Simulation is a flexible integrateddevelopment environment specialisingon business, logistics and productionneeds.
Projects with sufficient data andprocess comprehension detailing thecurrent challenge will be succesfull in Plant Simulation.
2
2
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
ScalabilityProduction Planning and Control vs. Integrated Development Environment
Preactor
Forecasts
Bill ofResources
Routings
Bill ofMaterials
Customer Orders
InventoryReplenish
-ment
Work Orders
SupplierOrders
PurchaseOrders
Gantt Chart
ProductionOrders
Plant Simulation
Forecasts
Bill ofResources
Bill ofMaterials
Availability
AGVS speed
Control LogicShift Model
Layout
PurchaseOrders
Bill ofResources
ProductionOrders
Preactor supports solving planning andscheduling challenges in a productionplanning and control environment.
Projects with focus on productionplanning and control and holistic datawill be succesfull in Preactor.
Plant Simulation is a flexible integrateddevelopment environment specialisingon business, logistics and productionneeds.
Projects with sufficient data andprocess comprehension detailing thecurrent challenge will be succesfull in Plant Simulation.
3
3
Restricted © Siemens AG 2017
Siemens PLM Software
ApproachAdvanced Planning and Scheduling collaboration between Plant Simulation and Preactor
Advanced Planning andScheduling
Collaboration betweenPlant Simulation and
Preactor
Scalability Granularity Repeatability Credibility
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
Granularity
Preactor
Forecasts
Bill ofResources
Routings
Bill ofMaterials
Customer Orders
InventoryReplenish
-ment
Work Orders
SupplierOrders
PurchaseOrders
Gantt Chart
ProductionOrders
Any input can be granularized in theproduction planning and controlcontext in Preactor.
Enablers to granularize inputs are: • attribute based planning priorities• directional scheduling• planning events• algorithms• …The Preactor data model remainsfocused on production planning andcontrol.
Any Plant Simulation model sub-system can be restructured, reorganized down to attribute andevent level.
Enablers to granularize are: • Libraries• Structures• Attributes• Events• Methods
1
1
Restricted © Siemens AG 2017
Siemens PLM Software
Granularity
Preactor
Forecasts
Bill ofResources
Routings
Bill ofMaterials
Customer Orders
InventoryReplenish
-ment
Work Orders
SupplierOrders
PurchaseOrders
Gantt Chart
ProductionOrders
Any input can be granularized in theproduction planning and controlcontext in Preactor.
Enablers to granularize inputs are: • attribute based planning priorities• directional scheduling• planning events• algorithms• …The Preactor data model remainsfocused on production planning andcontrol.
Any Plant Simulation model sub-system can be restructured, reorganized down to attribute andevent level.
Enablers to granularize are: • Libraries• Structures• Attributes• Events• Methods
2
2
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
Granularity
Preactor
Forecasts
Bill ofResources
Routings
Bill ofMaterials
Customer Orders
InventoryReplenish
-ment
Work Orders
SupplierOrders
PurchaseOrders
Gantt Chart
ProductionOrders
Any input can be granulized in the production planning and control context in Preactor.
Enablers to granulize inputs are: • attribute based planning priorities• directional scheduling• planning events• algorithms• …The Preactor data model remains focused on production planning and control.
Any Plant Simulation model sub-system can be restructured, reorganized down to attribute and event level.
Enablers to granulize are: • Libraries• Structures• Attributes• Events• Methods
Plant Simulation
Forecasts
Bill ofResources
Bill ofMaterials
Availability
AGVS speed
Control LogicShift Model
Layout
PurchaseOrders
Bill ofResources
ProductionOrders
3
Restricted © Siemens AG 2017
Siemens PLM Software
Granularity
Preactor
Forecasts
Bill ofResources
Routings
Bill ofMaterials
Customer Orders
InventoryReplenish
-ment
Work Orders
SupplierOrders
PurchaseOrders
Gantt Chart
ProductionOrders
Plant Simulation
Forecasts
Bill ofResources
Bill ofMaterials
Somethingelse…
Zombie speed
Wave heightHumidity
Crash speed
PurchaseOrders
Bill ofResources
ProductionOrders
WeatherLibrary
WeatherStructure
Any input can be granularized in theproduction planning and controlcontext in Preactor.
Enablers to granularize inputs are: • attribute based planning priorities• directional scheduling• planning events• algorithms• …The Preactor data model remainsfocused on production planning andcontrol.
Any Plant Simulation model sub-system can be restructured, reorganized down to attribute andevent level.
Enablers to granularize are: • Libraries• Structures• Attributes• Events• Methods
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
ApproachAdvanced Planning and Scheduling collaboration between Plant Simulation and Preactor
Advanced Planning andScheduling
Collaboration betweenPlant Simulation and
Preactor
Scalability Granularity Repeatability Credibility
Restricted © Siemens AG 2017
Siemens PLM Software
Repeatability
Schedule Shopfloor
Scheduling
Operating dataERPMRP…
t
V1
Preactor schedules are created based on ERP, MRP, Operating and other data. New schedules are often created when input data changes over time.
Variants of a schedule can be created and compared using alternate planning rules based on similar data state.
Plant Simulation models are created based on input structures and data. New models are changed manually or automatically based on the Design of Experiments.
Variant models can be created based on ERP, MRP, Operating and other data. Since live data is not predictable this happens outside the Design of Experiment.
Preactor uses current, MES based downtimes, while Plant Simulation works with collected past-time data
1
1
Preactor
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
Repeatability
Schedule Shopfloor
Scheduling
Operating dataERPMRP…
t
V1
V2
V3
2
Preactor schedules are created basedon ERP, MRP, Operating and otherdata. New schedules are often createdwhen input data changes over time.
Variants of a schedule can be createdand compared using alternate planningrules based on similar data state.
Plant Simulation models are createdbased on input structures and data. New models are changed manually orautomatically based on the Design ofExperiments.
Variant models can be created basedon ERP, MRP, Operating and otherdata. Since live data is not predictablethis happens outside the Design ofExperiment.
Preactor uses current, MES baseddowntimes, while Plant Simulation works with collected past-time data
2
Preactor
Restricted © Siemens AG 2017
Siemens PLM Software
Repeatability
Schedule Shopfloor
Scheduling
Operating dataERPMRP…
t
V1
V2
V3
Model
Design ofExperiments
V1 V2 V3
Preactor schedules are created basedon ERP, MRP, Operating and otherdata. New schedules are often createdwhen input data changes over time.
Variants of a schedule can be createdand compared using alternate planningrules based on similar data state.
Plant Simulation models are createdbased on input structures and data. New models are changed manually orautomatically based on the Design ofExperiments.
Variant models can be created basedon ERP, MRP, Operating and otherdata. Since live data is not predictablethis happens outside the Design ofExperiment.
Preactor uses current, MES baseddowntimes, while Plant Simulation works with collected past-time data
33
Preactor Plant Simulation
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
Repeatability
Schedule Shopfloor
Scheduling
Operating dataERPMRP…
t
V1
V2
V3
Model
Design ofExperiments
V1 V2 V3
ERP, MRP, Operating data, …
Preactor schedules are created basedon ERP, MRP, Operating and otherdata. New schedules are often createdwhen input data changes over time.
Variants of a schedule can be createdand compared using alternate planningrules based on similar data state.
Plant Simulation models are createdbased on input structures and data. New models are changed manually orautomatically based on the Design ofExperiments.
Variant models can be created basedon ERP, MRP, Operating and otherdata. Since live data is not predictablethis happens outside the Design ofExperiment.
Preactor uses current, MES baseddowntimes, while Plant Simulation works with collected past-time data.
4
4
Preactor Plant Simulation
Restricted © Siemens AG 2017
Siemens PLM Software
Repeatability
Schedule Shopfloor
Scheduling
Operating dataERPMRP…
t
V1
V2
V3
Model
Design ofExperiments
V1 V2 V3
ERP, MRP, Operating data, …
Preactor schedules are created basedon ERP, MRP, Operating and otherdata. New schedules are often createdwhen input data changes over time.
Variants of a schedule can be createdand compared using alternate planningrules based on similar data state.
Plant Simulation models are createdbased on input structures and data. New models are changed manually orautomatically based on the Design ofExperiments.
Variant models can be created basedon ERP, MRP, Operating and otherdata. Since live data is not predictablethis happens outside the Design ofExperiment.
Preactor uses current, MES baseddowntimes, while Plant Simulation works with collected past-time data.
!
Preactor Plant Simulation
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
ApproachAdvanced Planning and Scheduling collaboration between Plant Simulation and Preactor
Advanced Planning andScheduling
Collaboration betweenPlant Simulation and
Preactor
Scalability Granularity Repeatability Credibility
Restricted © Siemens AG 2017
Siemens PLM Software
CredibilityAlgorithms, scripts and gantt charts vs. animations and visible events
Preactor delivers planning resultsbased on „invisible“ decisions, algorithms and priorities.
In many cases credibility towards theresult must be built.
Plant Simulation delivers planningresults created structured systemsthat relate to reality to a certaindegree.
Credibility can be built using the eventoriented, structured and animatedmodel.
11
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
CredibilityAlgorithms, scripts and gantt charts vs. animations and visible events
Preactor delivers planning resultsbased on „invisible“ decisions, algorithms and priorities.
In many cases credibility towards theresult must be built.
Plant Simulation delivers planningresults created structured systemsthat relate to reality to a certaindegree.
Credibility can be built using the eventoriented, structured and animatedmodel.
2
2
Restricted © Siemens AG 2017
Siemens PLM Software
ApproachAdvanced Planning and Scheduling collaboration between Plant Simulation and Preactor
Advanced Planning andScheduling
Collaboration betweenPlant Simulation and
Preactor
Scalability Granularity Repeatability Credibility
Siemens PLM SoftwareTecnomatix Plant Simulation Worldwide User Conference
June 20-22 2017 Stuttgart, Germany
Restricted © Siemens AG 2017
Siemens PLM Software
Questions?