I07 Simulation
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The document discusses computer simulation as a tool for process improvement. It defines computer simulation as using a computer model to simulate a real system. The basic steps for computer simulation are: 1) define the problem, 2) map the process, 3) define inputs, 4) build the model, 5) validate the model, 6) perform simulations, 7) interpret results, and 8) recommend and document solutions. Reasons for using simulation include testing changes without risk or time constraints, understanding bottlenecks, and validating expected improvements. Simulation should not be used without proper training or understanding, or when simpler methods can achieve the goal.
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I07 Simulation
The document discusses computer simulation as a tool for process improvement. It defines computer simulation, outlines the basic steps which include defining the problem, mapping the process, defining inputs, building a model, validating the model, performing simulations, and interpreting results. Reasons for using simulation include testing changes without risk or time, understanding bottlenecks, and verifying expected improvements. Simulation should not be used without proper training or understanding, or when simpler methods can be used.
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I07 Simulation
The document discusses computer simulation as a tool for process improvement. It defines computer simulation, outlines the basic steps which include defining the problem, mapping the process, defining inputs, building a model, validating the model, performing simulations, and interpreting results. Reasons for using simulation include testing changes without risk or time, understanding bottlenecks, and verifying expected improvements. Simulation should not be used without proper training or understanding, or when simpler methods can be used.
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However, applying derivational development to large-scale embedded systems in a traditional way to performanec requirements of higher functionality is of high risk. In addition, as requirements of embedded systems for dependability are extremely high, the dependability of development process and safety of the product must be proven by evidence. Therefore, there is a possibility to significantly inhibit the evidence of dependability on embedded systems by continuing derivational development over many years. We apply SRMS in order to solve these issues.
In this presentation, I propose a methodology to solve issues of derivational development by applying SRMS to an SoC Equipped Multi Function Peripheral/Printer. Performance evaluation and energy consumption estimation of SoC are performed in the early stages of the SoC development. Estimating the performace and the energy consumption by a high level of abstraction model-based simulation. Because at the early stages of SoC development, modeling with a high level of abstraction is required for both the system architecture of the SoC and the behavior of the System.
The proposed method is applied for an actual embedded system in an MFP - Multi Function Peripheral/Printer. Proposed method SRMS is promising to solve the issues of derivational developmnrt in the embedded system development.
SE Lecture 2.ppt
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- Evolutionary models like prototyping and spiral model - Iteratively develop increasingly complete versions of software to accommodate changing requirements.
- Concurrent model - Allows activities like modeling to occur concurrently rather than sequentially.
It also discusses process frameworks, patterns, assessment, and personal software process models. The goal is to provide structure while allowing for flexibility
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I07 Simulation
- 1. Computer Simulation Deliverable 12I
- 2. Improve Module Roadmap Define 1D – Define VOC, VOB, and CTQ’s 2D – Define Project Boundaries 3D – Quantify Project Value 4D – Develop Project Mgmt. Plan Measure 5M – Document Process 6M – Prioritize List of X’s 7M – Create Data Collection Plan 8M – Validate Measurement System 9M – Establish Baseline Process Cap. Analyze 10A – Determine Critical X’s Improve 12I – Prioritized List of Solutions 13I – Pilot Best Solution Control 14C – Create Control System 15C – Finalize Project Documentation Green 11G – Identify Root Cause Relationships +1 +1 -1 -1 +1 -1
- 7. Computer Simulation Concept A computer simulation models the process by simulating it’s performance. Real Process Inputs Outputs Model Outputs Inputs Modeling Parameters
- 8. Basic Steps in Computer Simulation (1) Define problem (2) Map Process (3) Define inputs (4) Build model using software (5) Validate model (6) Perform simulations (7) Interpret results (8) Recommend and document
- 10. Step 2 - Map the Process WW Flow (GPM) Additional Feeder Lines P1 P2 P4 P3 Data reflects peak use periods. P25 P24
- 11. Step 3 - Define the Inputs WW Flow (GPM) Additional Feeder Lines P1 = operates 26% of time @ 400GPM P2 = operates 44% of time @ 300GPM P4 = operates 40% of time @ 800GPM P3 = operates 50% of time @ 1000GPM Data reflects peak use periods. P25 = operates 25% of time @ 300GPM P24 = operates 25% of time @ 800GPM
- 12. Step 4 - Build the Model Let’s take a closer look!
- 13. Step 4 - Build the Model (Modeling Parameters)
- 15. Step 5 - Validate the Model Note that main line does not need to be sized for all 15 pumps to run simultaneously.
- 16. Steps 6 & 7. Perform Experiments & Interpret Results Future GPM is expected to average ~6250GPM and peak at ~9800GPM
- 17. Steps 6 & 7. Perform Experiments & Interpret Results Future Max No. of Pumps = 17 (of 25)
Editor's Notes
- Mimic the major elements of a process, not every detail.
- Don’t put 100% confidence in the model. Use it to make decisions.
- Used modeling to find O ring crack on the Challenger explosion (reconstruct incident).