SlideShare a Scribd company logo
1 of 11
SIMULATING CONTINUOUS TIME
PRODUCTION FLOWS IN FOOD INDUSTRY
BY MEANS OF DISCRETE EVENT
SIMULATION
FABIO BURSI, ANDREA
FERRARA, ANDREA GRASSI, CHIARA
RONZONI
10/8/2013
FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING
& SIMULATION MULTICONFERENCE
2
Outline
1. Context, Aim and Core;
2. Simulation Units: Base Unit;
3. The Base Unit Model;
4. Additional Parameters;
5. The Base Unit Model: Schema;
6. In-depth Description of two objects:
a) Failures and repairs object;
b) Working speed and accumulation object.
10/8/2013
FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING
& SIMULATION MULTICONFERENCE
3
Context, Aim and Core
Context
◦ Continuous flow processes: food and beverages industry;
◦ Automated high speed lines: automated packaging lines;
Aim
◦ New modelling framework that aims to reproduce the behavior of a continuous
time stochastic process;
Core
◦ Define a generalized model able to represent a continuous time process by
using a discrete event approach, in which the events are signals related to the
changes of state of the simulation units.
10/8/2013
FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING
& SIMULATION MULTICONFERENCE
4
Simulation Units: Base Unit
All simulation units can be modelled by a generalized base unit able
to represent the main categories of working units found in real
applications, such as:
◦ Work centres continuously operating on the flow;
◦ Buffers;
◦ Conveying units.
Performance measures:
◦ Throughput;
◦ Efficiency;
◦ Stay time in different status;
◦ …
10/8/2013
FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING
& SIMULATION MULTICONFERENCE
5
The Base Unit Model
The base unit model behaviours are:
◦ Failures and repairs (FR):
◦ represents the operational state of the unit and is related to the Time-To-Failure (TTF)
and the Time-To-Repair (TTR) profiles.
◦ Working speed and accumulation (WSA):
◦ makes possible, on one hand, to model the variation in working speed as a
consequence of state changes in the upstream or in the downstream flow and, on the
other hand, to model the variation in internal accumulation level.
◦ Throughput time (T):
◦ represents a delay that has to be applied to a signal exiting from the considered unit.
10/8/2013
FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING
& SIMULATION MULTICONFERENCE
6
Additional Parameters
The proposed modelling approach provides the capability to include
additional parameters:
◦ Temperature of the product;
◦ Concentration of pollutant substances;
◦ …
In food industry, it is critical to trace this kind of parameters because
they are related to the process control policies and the product
traceability strategies, as well as product waste and net efficiency
estimation.
10/8/2013
FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING
& SIMULATION MULTICONFERENCE
7
The Base Unit Model: Schema
The base unit model is
composed by:
◦ Failures and repairs (FR);
◦ Working speed and
accumulation (WSA);
◦ Throughput time (T);
◦ N additional parameter
models (PARAMk);
◦ Interface (I).Input Signal: {flow parameter, actual working
speed, n additional parameter functions}
10/8/2013
FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING
& SIMULATION MULTICONFERENCE
8
Failures and Repairs Object Model
• Entering state: up;
• Two different cases can
be found:
1. A working speed change
signal comes from the
WSA object (operation
dependent);
States: up – set – up;
2. An internal state change
happens;
States: up – down – set – up;
10/8/2013
FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING
& SIMULATION MULTICONFERENCE
9
Working speed and accumulation object
model
1. Entering state: init;
2. Wait – update: signal from FR
object (state up);
3. Wait – update: arrives a external
signal;
4. Wait – boundary: when a
boundary state is reached;
5. Wait – update: signal from FR
object (state down);
10/8/2013
FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING
& SIMULATION MULTICONFERENCE
10
Conclusions and Future Development
Conclusions:
◦ The proposed approach:
◦ Allows to save computation time;
◦ Avoids the need to model all production flow;
◦ Ensures the accurate behaviour of the system;
◦ The base unit model is suitable for all industrial plants.
Future Development:
◦ To extend the proposed model with control policies of the considered machines
of the production system.
10/8/2013
FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING
& SIMULATION MULTICONFERENCE
11
…Thanks for your kind
attention

More Related Content

Similar to SIMULATING CONTINUOUS TIME PRODUCTION FLOWS IN FOOD INDUSTRY BY MEANS OF DISCRETE EVENT SIMULATION

Vff project presentation-2009-10-19-1
Vff project presentation-2009-10-19-1Vff project presentation-2009-10-19-1
Vff project presentation-2009-10-19-1VFFproject
 
Industry Solution Food & Consumer Goods
Industry Solution Food & Consumer GoodsIndustry Solution Food & Consumer Goods
Industry Solution Food & Consumer GoodsAsprova
 
Using Machine Learning to Quantify the Impact of Heterogeneous Data on Transf...
Using Machine Learning to Quantify the Impact of Heterogeneous Data on Transf...Using Machine Learning to Quantify the Impact of Heterogeneous Data on Transf...
Using Machine Learning to Quantify the Impact of Heterogeneous Data on Transf...Power System Operation
 
Process selection for manufacturing fms
Process selection for manufacturing fmsProcess selection for manufacturing fms
Process selection for manufacturing fmsKinshook Chaturvedi
 
IRJET- Design and Implementation of High Speed FPGA Configuration using SBI
IRJET- Design and Implementation of High Speed FPGA Configuration using SBIIRJET- Design and Implementation of High Speed FPGA Configuration using SBI
IRJET- Design and Implementation of High Speed FPGA Configuration using SBIIRJET Journal
 
Multi products storage using randomness
Multi products storage using randomnessMulti products storage using randomness
Multi products storage using randomnessjournal ijrtem
 
Multi products storage using randomness
Multi products storage using randomnessMulti products storage using randomness
Multi products storage using randomnessIJRTEMJOURNAL
 
Applying Product Line Use Case Modeling ! in an Industrial Automotive Embedde...
Applying Product Line Use Case Modeling ! in an Industrial Automotive Embedde...Applying Product Line Use Case Modeling ! in an Industrial Automotive Embedde...
Applying Product Line Use Case Modeling ! in an Industrial Automotive Embedde...Lionel Briand
 
Reliability centered maintenance planning based on computer-aided fmea
Reliability centered maintenance planning based on computer-aided fmeaReliability centered maintenance planning based on computer-aided fmea
Reliability centered maintenance planning based on computer-aided fmeaNgoc Dep
 
Industry Solutions - Chemical Industry
Industry Solutions - Chemical IndustryIndustry Solutions - Chemical Industry
Industry Solutions - Chemical IndustryAsprova
 
Dynamic operator training simulators for sulphuric acid, phosphoric acid, and...
Dynamic operator training simulators for sulphuric acid, phosphoric acid, and...Dynamic operator training simulators for sulphuric acid, phosphoric acid, and...
Dynamic operator training simulators for sulphuric acid, phosphoric acid, and...Sergio Joao
 
Plant operability optimization_through_dynamic_simulation
Plant operability optimization_through_dynamic_simulationPlant operability optimization_through_dynamic_simulation
Plant operability optimization_through_dynamic_simulationSergio Joao
 
Automation in Manufacturing (Unit-4) by Varun Pratap Singh.pdf
Automation in Manufacturing (Unit-4) by Varun Pratap Singh.pdfAutomation in Manufacturing (Unit-4) by Varun Pratap Singh.pdf
Automation in Manufacturing (Unit-4) by Varun Pratap Singh.pdfVarun Pratap Singh
 
IRJET- Development of a Smart Flipping System
IRJET-  	  Development of a Smart Flipping SystemIRJET-  	  Development of a Smart Flipping System
IRJET- Development of a Smart Flipping SystemIRJET Journal
 
Ba 1651 production_management
Ba 1651 production_managementBa 1651 production_management
Ba 1651 production_managementJuhi Srivastava
 

Similar to SIMULATING CONTINUOUS TIME PRODUCTION FLOWS IN FOOD INDUSTRY BY MEANS OF DISCRETE EVENT SIMULATION (20)

Terry towel oracle ebs scoping
Terry towel oracle ebs scopingTerry towel oracle ebs scoping
Terry towel oracle ebs scoping
 
Vff project presentation-2009-10-19-1
Vff project presentation-2009-10-19-1Vff project presentation-2009-10-19-1
Vff project presentation-2009-10-19-1
 
Industry Solution Food & Consumer Goods
Industry Solution Food & Consumer GoodsIndustry Solution Food & Consumer Goods
Industry Solution Food & Consumer Goods
 
Using Machine Learning to Quantify the Impact of Heterogeneous Data on Transf...
Using Machine Learning to Quantify the Impact of Heterogeneous Data on Transf...Using Machine Learning to Quantify the Impact of Heterogeneous Data on Transf...
Using Machine Learning to Quantify the Impact of Heterogeneous Data on Transf...
 
Process selection for manufacturing fms
Process selection for manufacturing fmsProcess selection for manufacturing fms
Process selection for manufacturing fms
 
Chapter 7.pptx
Chapter 7.pptxChapter 7.pptx
Chapter 7.pptx
 
chap012.ppt
chap012.pptchap012.ppt
chap012.ppt
 
IRJET- Design and Implementation of High Speed FPGA Configuration using SBI
IRJET- Design and Implementation of High Speed FPGA Configuration using SBIIRJET- Design and Implementation of High Speed FPGA Configuration using SBI
IRJET- Design and Implementation of High Speed FPGA Configuration using SBI
 
Multi products storage using randomness
Multi products storage using randomnessMulti products storage using randomness
Multi products storage using randomness
 
Multi products storage using randomness
Multi products storage using randomnessMulti products storage using randomness
Multi products storage using randomness
 
Producción inspeccionada de aeronaves
Producción inspeccionada de aeronavesProducción inspeccionada de aeronaves
Producción inspeccionada de aeronaves
 
Applying Product Line Use Case Modeling ! in an Industrial Automotive Embedde...
Applying Product Line Use Case Modeling ! in an Industrial Automotive Embedde...Applying Product Line Use Case Modeling ! in an Industrial Automotive Embedde...
Applying Product Line Use Case Modeling ! in an Industrial Automotive Embedde...
 
Reliability centered maintenance planning based on computer-aided fmea
Reliability centered maintenance planning based on computer-aided fmeaReliability centered maintenance planning based on computer-aided fmea
Reliability centered maintenance planning based on computer-aided fmea
 
Industry Solutions - Chemical Industry
Industry Solutions - Chemical IndustryIndustry Solutions - Chemical Industry
Industry Solutions - Chemical Industry
 
Dynamic operator training simulators for sulphuric acid, phosphoric acid, and...
Dynamic operator training simulators for sulphuric acid, phosphoric acid, and...Dynamic operator training simulators for sulphuric acid, phosphoric acid, and...
Dynamic operator training simulators for sulphuric acid, phosphoric acid, and...
 
Plant operability optimization_through_dynamic_simulation
Plant operability optimization_through_dynamic_simulationPlant operability optimization_through_dynamic_simulation
Plant operability optimization_through_dynamic_simulation
 
O0123190100
O0123190100O0123190100
O0123190100
 
Automation in Manufacturing (Unit-4) by Varun Pratap Singh.pdf
Automation in Manufacturing (Unit-4) by Varun Pratap Singh.pdfAutomation in Manufacturing (Unit-4) by Varun Pratap Singh.pdf
Automation in Manufacturing (Unit-4) by Varun Pratap Singh.pdf
 
IRJET- Development of a Smart Flipping System
IRJET-  	  Development of a Smart Flipping SystemIRJET-  	  Development of a Smart Flipping System
IRJET- Development of a Smart Flipping System
 
Ba 1651 production_management
Ba 1651 production_managementBa 1651 production_management
Ba 1651 production_management
 

Recently uploaded

Understanding the Pakistan Budgeting Process: Basics and Key Insights
Understanding the Pakistan Budgeting Process: Basics and Key InsightsUnderstanding the Pakistan Budgeting Process: Basics and Key Insights
Understanding the Pakistan Budgeting Process: Basics and Key Insightsseri bangash
 
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779Delhi Call girls
 
Regression analysis: Simple Linear Regression Multiple Linear Regression
Regression analysis:  Simple Linear Regression Multiple Linear RegressionRegression analysis:  Simple Linear Regression Multiple Linear Regression
Regression analysis: Simple Linear Regression Multiple Linear RegressionRavindra Nath Shukla
 
Keppel Ltd. 1Q 2024 Business Update Presentation Slides
Keppel Ltd. 1Q 2024 Business Update  Presentation SlidesKeppel Ltd. 1Q 2024 Business Update  Presentation Slides
Keppel Ltd. 1Q 2024 Business Update Presentation SlidesKeppelCorporation
 
Event mailer assignment progress report .pdf
Event mailer assignment progress report .pdfEvent mailer assignment progress report .pdf
Event mailer assignment progress report .pdftbatkhuu1
 
Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023Neil Kimberley
 
VIP Call Girls In Saharaganj ( Lucknow ) 🔝 8923113531 🔝 Cash Payment (COD) 👒
VIP Call Girls In Saharaganj ( Lucknow  ) 🔝 8923113531 🔝  Cash Payment (COD) 👒VIP Call Girls In Saharaganj ( Lucknow  ) 🔝 8923113531 🔝  Cash Payment (COD) 👒
VIP Call Girls In Saharaganj ( Lucknow ) 🔝 8923113531 🔝 Cash Payment (COD) 👒anilsa9823
 
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Monthly Social Media Update April 2024 pptx.pptx
Monthly Social Media Update April 2024 pptx.pptxMonthly Social Media Update April 2024 pptx.pptx
Monthly Social Media Update April 2024 pptx.pptxAndy Lambert
 
Monte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSMMonte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSMRavindra Nath Shukla
 
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 DelhiCall Girls in Delhi
 
Unlocking the Secrets of Affiliate Marketing.pdf
Unlocking the Secrets of Affiliate Marketing.pdfUnlocking the Secrets of Affiliate Marketing.pdf
Unlocking the Secrets of Affiliate Marketing.pdfOnline Income Engine
 
Ensure the security of your HCL environment by applying the Zero Trust princi...
Ensure the security of your HCL environment by applying the Zero Trust princi...Ensure the security of your HCL environment by applying the Zero Trust princi...
Ensure the security of your HCL environment by applying the Zero Trust princi...Roland Driesen
 
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...Any kyc Account
 
Value Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and painsValue Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and painsP&CO
 
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service JamshedpurVIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service JamshedpurSuhani Kapoor
 
A DAY IN THE LIFE OF A SALESMAN / WOMAN
A DAY IN THE LIFE OF A  SALESMAN / WOMANA DAY IN THE LIFE OF A  SALESMAN / WOMAN
A DAY IN THE LIFE OF A SALESMAN / WOMANIlamathiKannappan
 
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdf0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdfRenandantas16
 

Recently uploaded (20)

Understanding the Pakistan Budgeting Process: Basics and Key Insights
Understanding the Pakistan Budgeting Process: Basics and Key InsightsUnderstanding the Pakistan Budgeting Process: Basics and Key Insights
Understanding the Pakistan Budgeting Process: Basics and Key Insights
 
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
Best VIP Call Girls Noida Sector 40 Call Me: 8448380779
 
Regression analysis: Simple Linear Regression Multiple Linear Regression
Regression analysis:  Simple Linear Regression Multiple Linear RegressionRegression analysis:  Simple Linear Regression Multiple Linear Regression
Regression analysis: Simple Linear Regression Multiple Linear Regression
 
Keppel Ltd. 1Q 2024 Business Update Presentation Slides
Keppel Ltd. 1Q 2024 Business Update  Presentation SlidesKeppel Ltd. 1Q 2024 Business Update  Presentation Slides
Keppel Ltd. 1Q 2024 Business Update Presentation Slides
 
Forklift Operations: Safety through Cartoons
Forklift Operations: Safety through CartoonsForklift Operations: Safety through Cartoons
Forklift Operations: Safety through Cartoons
 
Event mailer assignment progress report .pdf
Event mailer assignment progress report .pdfEvent mailer assignment progress report .pdf
Event mailer assignment progress report .pdf
 
Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023
 
VIP Call Girls In Saharaganj ( Lucknow ) 🔝 8923113531 🔝 Cash Payment (COD) 👒
VIP Call Girls In Saharaganj ( Lucknow  ) 🔝 8923113531 🔝  Cash Payment (COD) 👒VIP Call Girls In Saharaganj ( Lucknow  ) 🔝 8923113531 🔝  Cash Payment (COD) 👒
VIP Call Girls In Saharaganj ( Lucknow ) 🔝 8923113531 🔝 Cash Payment (COD) 👒
 
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
 
Monthly Social Media Update April 2024 pptx.pptx
Monthly Social Media Update April 2024 pptx.pptxMonthly Social Media Update April 2024 pptx.pptx
Monthly Social Media Update April 2024 pptx.pptx
 
Monte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSMMonte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSM
 
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
 
Unlocking the Secrets of Affiliate Marketing.pdf
Unlocking the Secrets of Affiliate Marketing.pdfUnlocking the Secrets of Affiliate Marketing.pdf
Unlocking the Secrets of Affiliate Marketing.pdf
 
Ensure the security of your HCL environment by applying the Zero Trust princi...
Ensure the security of your HCL environment by applying the Zero Trust princi...Ensure the security of your HCL environment by applying the Zero Trust princi...
Ensure the security of your HCL environment by applying the Zero Trust princi...
 
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
 
Value Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and painsValue Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and pains
 
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service JamshedpurVIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
 
A DAY IN THE LIFE OF A SALESMAN / WOMAN
A DAY IN THE LIFE OF A  SALESMAN / WOMANA DAY IN THE LIFE OF A  SALESMAN / WOMAN
A DAY IN THE LIFE OF A SALESMAN / WOMAN
 
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdf0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
 
VVVIP Call Girls In Greater Kailash ➡️ Delhi ➡️ 9999965857 🚀 No Advance 24HRS...
VVVIP Call Girls In Greater Kailash ➡️ Delhi ➡️ 9999965857 🚀 No Advance 24HRS...VVVIP Call Girls In Greater Kailash ➡️ Delhi ➡️ 9999965857 🚀 No Advance 24HRS...
VVVIP Call Girls In Greater Kailash ➡️ Delhi ➡️ 9999965857 🚀 No Advance 24HRS...
 

SIMULATING CONTINUOUS TIME PRODUCTION FLOWS IN FOOD INDUSTRY BY MEANS OF DISCRETE EVENT SIMULATION

  • 1. SIMULATING CONTINUOUS TIME PRODUCTION FLOWS IN FOOD INDUSTRY BY MEANS OF DISCRETE EVENT SIMULATION FABIO BURSI, ANDREA FERRARA, ANDREA GRASSI, CHIARA RONZONI
  • 2. 10/8/2013 FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING & SIMULATION MULTICONFERENCE 2 Outline 1. Context, Aim and Core; 2. Simulation Units: Base Unit; 3. The Base Unit Model; 4. Additional Parameters; 5. The Base Unit Model: Schema; 6. In-depth Description of two objects: a) Failures and repairs object; b) Working speed and accumulation object.
  • 3. 10/8/2013 FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING & SIMULATION MULTICONFERENCE 3 Context, Aim and Core Context ◦ Continuous flow processes: food and beverages industry; ◦ Automated high speed lines: automated packaging lines; Aim ◦ New modelling framework that aims to reproduce the behavior of a continuous time stochastic process; Core ◦ Define a generalized model able to represent a continuous time process by using a discrete event approach, in which the events are signals related to the changes of state of the simulation units.
  • 4. 10/8/2013 FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING & SIMULATION MULTICONFERENCE 4 Simulation Units: Base Unit All simulation units can be modelled by a generalized base unit able to represent the main categories of working units found in real applications, such as: ◦ Work centres continuously operating on the flow; ◦ Buffers; ◦ Conveying units. Performance measures: ◦ Throughput; ◦ Efficiency; ◦ Stay time in different status; ◦ …
  • 5. 10/8/2013 FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING & SIMULATION MULTICONFERENCE 5 The Base Unit Model The base unit model behaviours are: ◦ Failures and repairs (FR): ◦ represents the operational state of the unit and is related to the Time-To-Failure (TTF) and the Time-To-Repair (TTR) profiles. ◦ Working speed and accumulation (WSA): ◦ makes possible, on one hand, to model the variation in working speed as a consequence of state changes in the upstream or in the downstream flow and, on the other hand, to model the variation in internal accumulation level. ◦ Throughput time (T): ◦ represents a delay that has to be applied to a signal exiting from the considered unit.
  • 6. 10/8/2013 FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING & SIMULATION MULTICONFERENCE 6 Additional Parameters The proposed modelling approach provides the capability to include additional parameters: ◦ Temperature of the product; ◦ Concentration of pollutant substances; ◦ … In food industry, it is critical to trace this kind of parameters because they are related to the process control policies and the product traceability strategies, as well as product waste and net efficiency estimation.
  • 7. 10/8/2013 FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING & SIMULATION MULTICONFERENCE 7 The Base Unit Model: Schema The base unit model is composed by: ◦ Failures and repairs (FR); ◦ Working speed and accumulation (WSA); ◦ Throughput time (T); ◦ N additional parameter models (PARAMk); ◦ Interface (I).Input Signal: {flow parameter, actual working speed, n additional parameter functions}
  • 8. 10/8/2013 FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING & SIMULATION MULTICONFERENCE 8 Failures and Repairs Object Model • Entering state: up; • Two different cases can be found: 1. A working speed change signal comes from the WSA object (operation dependent); States: up – set – up; 2. An internal state change happens; States: up – down – set – up;
  • 9. 10/8/2013 FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING & SIMULATION MULTICONFERENCE 9 Working speed and accumulation object model 1. Entering state: init; 2. Wait – update: signal from FR object (state up); 3. Wait – update: arrives a external signal; 4. Wait – boundary: when a boundary state is reached; 5. Wait – update: signal from FR object (state down);
  • 10. 10/8/2013 FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING & SIMULATION MULTICONFERENCE 10 Conclusions and Future Development Conclusions: ◦ The proposed approach: ◦ Allows to save computation time; ◦ Avoids the need to model all production flow; ◦ Ensures the accurate behaviour of the system; ◦ The base unit model is suitable for all industrial plants. Future Development: ◦ To extend the proposed model with control policies of the considered machines of the production system.
  • 11. 10/8/2013 FABIO BURSI - THE 10° INTERNATIONAL MULTIDISCIPLINARY MODELING & SIMULATION MULTICONFERENCE 11 …Thanks for your kind attention