This document provides an overview of a system dynamics modeling seminar presentation. It discusses how system dynamics modeling can be used for various purposes like increasing understanding of problems, improving systems, and reducing complexity. The document then gives a brief history of system dynamics modeling and how Jay Forrester originally proposed it as structures of levels and flows. It also discusses when a system dynamics simulation model may be appropriate to use.
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The document discusses software engineering and the Unified Software Development Process (USDP). It describes the USDP which includes phases of inception, elaboration, construction, and transition. Each phase involves iterations where requirements, analysis, design, implementation, and testing are done. The goal of each iteration is to produce an executable increment that is tested and evaluated.
Simulation and modeling introduction.pptxShamasRehman4
This document discusses simulation and modeling. It begins by introducing systems, modeling, and simulation. Modeling creates a representation of a system, while simulation operates a model to study the behavior of the actual system. There are different types of simulation models including deterministic/stochastic and static/dynamic models. The document outlines steps for building simulation models, including defining goals, involving end users, choosing tools, and validating results. General purpose languages, simulation languages, and special purpose packages are options for developing simulation models.
Performance modeling provides important insights for capacity planning and system sizing without costly full-scale testing. While sophisticated mathematical modeling was common in the past, today's complex systems are difficult to model formally and existing tools are outdated. However, minimal modeling with common-sense approximations using metrics like resource usage per transaction and hardware capacity can still be useful. Keeping even informal models in mind helps performance engineers understand systems, but complex systems benefit from documenting models. Reviving the art of performance modeling can add value to modern continuous performance testing approaches.
This document provides an introduction to embedded systems architecture. Chapter 1 defines an embedded system and introduces a systems engineering design process. It describes embedded systems as computer systems with dedicated functions that are often subject to strict reliability requirements. The chapter then discusses the importance of defining an embedded system's architecture and introduces a layered model with hardware, system software, and application layers. It emphasizes that understanding an architecture allows designers to address challenges like cost, integrity, and functionality.
The document discusses several system development approaches and methodologies including the waterfall model, prototype model, spiral model, extreme programming, unified process, agile modeling, rapid application development, and joint application development. It provides an overview of each approach/methodology including typical phases, activities, advantages, and disadvantages.
This document provides an overview of different software process models including the waterfall model, V-model, evolutionary development, component-based development, and incremental delivery. It describes the key phases and activities in each model. The V-model is explained in detail with its distinct development and validation phases like requirements, design, coding, unit testing, integration testing, system testing, and acceptance testing. Pros and cons of each model are also highlighted along with guidance on when each is generally most applicable.
Mastering complex application deployments can be challenging due to:
1) The number of steps and people involved in manual deployments
2) The inconsistent nature of releases when only some components change at a time
3) The difficulty of determining what components should be deployed together.
To address these challenges, the document recommends:
1) Using basic automation to reduce manual steps while still involving people
2) Modeling the system and change in a test environment to validate compatibility
3) Having a single, repeatable deployment process that is executed consistently.
This document provides an overview of software engineering. It discusses what software engineering is, common software development process models like waterfall, spiral, agile development, and the Unified Software Development Process (USDP). The USDP follows an iterative approach with phases for inception, elaboration, construction, and transition. Each phase has milestones and the process involves iterations where requirements, design, coding, and testing are done to create executable increments.
The document discusses software engineering and the Unified Software Development Process (USDP). It describes the USDP which includes phases of inception, elaboration, construction, and transition. Each phase involves iterations where requirements, analysis, design, implementation, and testing are done. The goal of each iteration is to produce an executable increment that is tested and evaluated.
Simulation and modeling introduction.pptxShamasRehman4
This document discusses simulation and modeling. It begins by introducing systems, modeling, and simulation. Modeling creates a representation of a system, while simulation operates a model to study the behavior of the actual system. There are different types of simulation models including deterministic/stochastic and static/dynamic models. The document outlines steps for building simulation models, including defining goals, involving end users, choosing tools, and validating results. General purpose languages, simulation languages, and special purpose packages are options for developing simulation models.
Performance modeling provides important insights for capacity planning and system sizing without costly full-scale testing. While sophisticated mathematical modeling was common in the past, today's complex systems are difficult to model formally and existing tools are outdated. However, minimal modeling with common-sense approximations using metrics like resource usage per transaction and hardware capacity can still be useful. Keeping even informal models in mind helps performance engineers understand systems, but complex systems benefit from documenting models. Reviving the art of performance modeling can add value to modern continuous performance testing approaches.
This document provides an introduction to embedded systems architecture. Chapter 1 defines an embedded system and introduces a systems engineering design process. It describes embedded systems as computer systems with dedicated functions that are often subject to strict reliability requirements. The chapter then discusses the importance of defining an embedded system's architecture and introduces a layered model with hardware, system software, and application layers. It emphasizes that understanding an architecture allows designers to address challenges like cost, integrity, and functionality.
The document discusses several system development approaches and methodologies including the waterfall model, prototype model, spiral model, extreme programming, unified process, agile modeling, rapid application development, and joint application development. It provides an overview of each approach/methodology including typical phases, activities, advantages, and disadvantages.
This document provides an overview of different software process models including the waterfall model, V-model, evolutionary development, component-based development, and incremental delivery. It describes the key phases and activities in each model. The V-model is explained in detail with its distinct development and validation phases like requirements, design, coding, unit testing, integration testing, system testing, and acceptance testing. Pros and cons of each model are also highlighted along with guidance on when each is generally most applicable.
Mastering complex application deployments can be challenging due to:
1) The number of steps and people involved in manual deployments
2) The inconsistent nature of releases when only some components change at a time
3) The difficulty of determining what components should be deployed together.
To address these challenges, the document recommends:
1) Using basic automation to reduce manual steps while still involving people
2) Modeling the system and change in a test environment to validate compatibility
3) Having a single, repeatable deployment process that is executed consistently.
In this presentation we will see a brief introduction to design patterns, their origin and why we should learn them, Then we will spend most of the presentation to transform a real code sample by extracting some of the most common used patterns.
This document discusses various heuristics and principles for architecture design. It provides guidelines for creating simplified, evolvable systems using small modular components. Some key points discussed include using open architectures, building in options, and designing structures that are resilient to stress. The document also advocates for pattern-oriented, minimalist designs and evolutionary systems that can adapt over time without disrupting existing information. Overall, the document presents best practices for handling complexity, enabling flexibility, and ensuring architectures can withstand failures.
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2. Variations of the waterfall model include the V-model and incremental model, which allow for some iteration and incremental delivery of features.
3. Evolutionary models like prototyping and the spiral model combine iterative development with controlled aspects of waterfall, producing prototypes and incremental releases to manage risk.
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2. The complexity of internal and external interactions is taken into account for systems like cars, printers, or robots used in surgery. System engineering is usually implemented when market demand grows and production cycles become shorter.
3. A system is defined as a combination of interacting elements organized to achieve one or more stated purposes according to the International Organization for Standardization.
The document discusses core principles of software engineering and requirements engineering. It outlines seven principles proposed by David Hooker for software engineering which focus on adding value to users, keeping designs simple, maintaining vision, considering future maintainers and users, planning for reuse, and applying thorough thought. It then describes the key tasks in requirements engineering as inception, elicitation, elaboration, negotiation, specification, validation and management. Data modeling is also discussed including defining data objects, attributes, relationships, modality and cardinality.
This document provides an overview of software construction. It begins with definitions of software construction and discusses why the construction phase is important. It describes the key activities in construction as developing the design model and implementation. The document focuses on developing the design model, including ensuring traceability to the analysis model and adapting the design for the implementation environment. It provides examples from a sample recycling machine system to illustrate traceability between models and handling inheritance and associations in the design model.
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The document discusses different systems development life cycles (SDLC) including the traditional SDLC model and alternatives like prototyping, Rapid Application Development (RAD), and Joint Application Development (JAD). The traditional SDLC model involves phases like requirements definition, feasibility study, systems analysis, systems design, implementation, and maintenance. However, it has some limitations that newer approaches aim to address, focusing more on user involvement, flexibility, and rapid iterations.
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1. An exposure to system
dynamics modeling
A System Dynamics Society
seminar series presentation
Len Malczynski
Mindseye Computing
20 October 2021
2. Will I learn the system dynamics
method in this session?
• NO!
• Learning will require practicing the method
• We all learn differently
• Good news
• There are many places to learn – Google
search of “system dynamics” About
424,000,000 results (run on October 8,
2021)
• Links will be provided later in this
presentation
2
3. Adapted from: Systems Modeling: Theory and Practice, Michael Pidd, ed.,
Complementarity in systems modeling, pp. 2 and 8
Routine
use
Human
interaction
2. Routine
decision
support
3. Representing
possible
system designs and
changes
4. Representing
insights for
debate
Tools for routine
decision making
Tools for thinking
A spectrum of systems
modeling uses
(1) Puzzles (2) Problems (3) Messes/wicked
problems
System
Dynamics
1. Automation
of decisions
3
4. 4
The beginning: Industrial Dynamics
In Industrial Dynamics[1], Jay Forrester (1961) presents a type of
model structure. He indicated that a model should have the
following characteristics:
• Be able to describe any statement of cause-effect relationships that we
may wish to include.
• Be simple in mathematical nature.
• Be closely synonymous in nomenclature to industrial, economic and
social terminology.
• Be extendable to large numbers of variables (thousands) without
exceeding the practical limits of digital computers.
• Be able to handle “continuous” interactions in the sense that any artificial
discontinuities introduced by solution-time intervals will not affect the
results. It should, however, be able to generate discontinuous changes in
decisions when these are needed.
[1] Now commonly termed System Dynamics.
The original article was in the Harvard Business Review, July-August 1958,
“Industrial Dynamics a major breakthrough for decision makers”
5. 5
Operationalizing the methodology as
• “an alternating structure of reservoirs or levels
interconnected by controlled flows.”
o Forrester’s proposal has often been described
metaphorically as “bathtub dynamics.”
o Objects:
• Stocks are the bathtubs themselves,
• Controlled flows are the automated or humanly controlled
decision functions on the flows to and from bathtubs,
• and the interconnections serve as pipes between objects
o Feedback is an important feature of these systems
o Delay is an important feature of these systems
6. When do we want a system dynamics
simulation model?
A change has created a challenge, we want to
• Increase our understanding of a problem
• Improve existing systems
• Improve behaviors
• Reduce complexity
• Avoid black-box decision making
Basically: Get qualified answers – Reduce cost – Save time
6
John Sterman at MIT - https://www.youtube.com/watch?v=AnTwZVviXyY
Systems-thinking: A Little Film About a Big Idea
- https://www.youtube.com/watch?v=-sfiReUu3o0
7. The System Dynamics Method,
Powersim Studio, and the Problem Domain
Powersim Studio
capability
Your challenge today:
- You have little or no conceptual knowledge of the method
- You have little or no syntactic knowledge of Studio
The approach today:
- Acquire some knowledge of the
method
- Learn basic tool syntax that
supports the method
- Learn extra-method syntax that
supports the problem domain
- Hopefully, you are familiar with (or are
eager to learn about) the problem domain
System
Dynamics
method
Problem
domain
7
8. Nici’s slides
Thank you to Dr. Nici Zimmerman of University College London England for this and the next slide.
Some changes applied 8
PREPARING FOR SYSTEM DYNAMICS SIMULATION
10. Tool to be used today: Powersim Studio 10 Express
Express gives you the ability to build and run simulations with basic modeling features
NOTE: It is not possible to receive free Technical
Support for this product, and a Service Agreement is
not offered for this product.
HOWEVER: You can go to the Studio User Group at:
https://groups.io/g/powersimtools for Q&A, models,
tips, etc.
*These limitations are:
• A model can have a maximum of 50 variables (useful for instructors)
• An array variable can have a maximum of 1000 elements
• The maximum amount of memory allowed for variable values is 80 KB
• The maximum size of dynamic ranges is 20
• Only one CPU core utilized in multi-core processing during simulations
• Only available in 32-bit version
• The license will last for 6 months, indefinitely renewable
• More information at: www.powersim.com including an academic version
The free Express edition will give you the ability to:
•Build simulation models and run scenarios
•Translate your models into multiple languages to share around the world
•Use automatic unit control
•Connect to Spreadsheet Datasets
•Access a function library of more than 200 functions
•Express has a few limitations*
10
11. What could be identified from the text and a spreadsheet approach?
1. CONSTANTS
NORMAL VACANCIES
INITIAL ACTUAL VACANCIES
DEMAND FACTOR
INITIAL APARTMENTS RENTED
TIMING OF STEP INCREASE IN APARTMENT RENTAL
STEP INCREASE IN APARTMENT RENTAL
APARTMENT COMPLETION DELAY
2. Stocks
Actual Vacancies
3. rates
apartments rented
apartments completed
4. auxiliaries
apartments started
net apartments added
Building the simple model:
an outside -> in approach
11
Yikes! This is simple? No
worries, we are all unique
and have different ways of
learning.
Go to MS
Excel
12. Mapping to and from MS Excel
• 1. CONSTANTS
• NORMAL VACANCIES
• INITIAL ACTUAL VACANCIES
• DEMAND FACTOR
• INITIAL APARTMENTS RENTED
• TIMING OF STEP INCREASE IN
APARTMENT RENTAL
• STEP INCREASE IN APARTMENT RENTAL
• APARTMENT COMPLETION DELAY
• 2. Stocks
• Actual Vacancies
• 3. rates
• apartments rented
• apartments completed
• 4. auxiliaries
• apartments started
• net apartments added
12
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?
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13. STEPS in constructing the model
1. CONSTANTS name, units (with inline definition)
NORMAL VACANCIES (create apartment unit)
INITIAL ACTUAL VACANCIES (inline)
DEMAND FACTOR (create dimensionless)
INITIAL APARTMENTS RENTED
TIMING OF STEP INCREASE IN APARTMENT RENTAL
STEP INCREASE IN APARTMENT RENTAL
APARTMENT COMPLETION DELAY
2. Stock
Actual Vacancies (show unit inheritance)
3. Rate
apartments rented
4. Auxiliary
apartments started
5. Rate
apartments completed
6. Auxiliary
net apartments added
Building the simple model:
an outside -> in approach
Let’s
open
Studio
NORMAL VACANCIES Actual Vacancies
apartments started
apartments
completed
apartments rented
DEMAND FACTOR
net apartments
added
INITIAL ACTUAL
VACANCIES
INITIAL APARTMENTS
RENTED
STEP INCREASE IN
APARTMENT RENTAL
TIMING OF STEP
INCREASE IN
APARTMENT RENTAL
APARTMENT
COMPLETION DELAY
13
14. Outside -> in approach: the
advantages when using Studio
1. Adding constants first helps to
1. distinguish the exogenous from the endogenous
variables,
2. indicate potential opportunities to grow model scope,
3. highlight potential policy variables, and
4. determine model units
2. Adding stocks next enables
1. unit inheritance when setting initial values and
2. model transparency
3. Iterating through auxiliaries and rates helps to
1. manage model logic,
2. reinforce unit inheritance, and
3. enforce the system dynamics methodology
14
15. Wait a minute!
• Is this the only approach to the problem?
• No, there may be other equally valid models
• Ideally you would work with the appropriate stakeholders
• However
• This approach is based upon the text (Problems in Industrial
Dynamics) to have a common problem definition
• The approach and results can be compared to the text
• This approach follows best practices in model construction *
* D-Memo (D-4851, 01/15/2001) System Dynamics Model Checklist
Best Practices for System Dynamics Model Design and Construction with Powersim Studio,
SANDIA REPORT, SAND2011-4108, Unlimited Release, June 2011
15
17. The model
17
NORMAL VACANCIES Actual Vacancies
apartments started
apartments
completed
apartments rented
DEMAND FACTOR
net apartments
added
INITIAL ACTUAL
VACANCIES
INITIAL APARTMENTS
RENTED
STEP INCREASE IN
APARTMENT RENTAL
TIMING OF STEP
INCREASE IN
APARTMENT RENTAL
APARTMENT
COMPLETION DELAY
18. The CONSTANTS
APARTMENT COMPLETION DELAY yr 3<<yr>>
TIMING OF STEP INCREASE IN
APARTMENT RENTAL @yr STARTTIME + 3<<yr>>
STEP INCREASE IN APARTMENT RENTAL apartment/yr 200<<apartment/yr>>
INITIAL APARTMENTS RENTED apartment/yr 2000<<apartment/yr>>
INITIAL ACTUAL VACANCIES apartment 1000<<apartment>>
DEMAND FACTOR %/yr 50<<%/yr>>
NORMAL VACANCIES apartment 1000<<apartment>>
18
19. The Level
Actual Vacancies apartment 'INITIAL ACTUAL VACANCIES'
Actual Vacancies.apartments
rented.out 'apartments rented'
Actual Vacancies.apartments
completed.in 'apartments completed'
19
20. The auxiliaries
net apartments added apartment/yr 'apartments completed' - 'apartments rented'
apartments rented apartment/yr
'INITIAL APARTMENTS RENTED' + STEP('STEP INCREASE IN
APARTMENT RENTAL', 'TIMING OF STEP INCREASE IN
APARTMENT RENTAL')
apartments completed apartment/yr
//DELAYMTR('apartments started','APARTMENT COMPLETION
DELAY’,3)
DELAYPPL('apartments started','APARTMENT COMPLETION
DELAY','INITIAL APARTMENTS RENTED’)
apartments started apartment/yr
'apartments rented' + ('NORMAL VACANCIES' - 'Actual
Vacancies') * 'DEMAND FACTOR'
20
21. NYT October 15, 2021
• Rising Rents Are Fueling Inflation, Posing Trouble for
the Fed
• Economic policymakers have said inflation will prove
temporary, but rising rents may challenge that view and
pressure Washington to react.
• https://www.nytimes.com/2021/10/15/business/econo
my/rent-
inflation.html?campaign_id=9&emc=edit_nn_2021101
5&instance_id=42913&nl=the-
morning®i_id=144854885&segment_id=71712&te=
1&user_id=a3257c2532ed6706a3777afa04be15ab
21
21587 days after the problem description article
22. Some excerpts
• That dearth of properties has been exacerbated by work
stoppages, supply shortages and labor constraints during
the coronavirus era, all of which have kept developers from
ramping up production to meet demand.
• Such an intervention would take time — homes are not built
overnight. And in the meantime, rents will almost certainly
continue moving in the inflation data, which reflect rising
housing costs at a long delay. More up-to-date measures of
rental pricing pressure produced by Apartment List and
Zillow have shown costs climbing in recent months, though
many measures of rent and new leases have calmed down
somewhat after a red-hot summer.
• The national median rent has increased 16.4 percent since
January, Apartment List said in its September rental report,
with monthly growth slowing slightly from its July peak.
22