The document discusses simulation as a technique for modeling real-world systems with uncertain inputs. It defines simulation as using models to represent systems over time to understand their behavior. The key aspects covered include:
- Components of a simulation model including inputs, calculations, and outputs
- Types of simulation like time-dependent vs time-independent and corporate/financial simulations
- Major applications in queuing systems and analyzing waiting times
- Steps of the simulation process from identifying the problem to evaluating results
- Components and structures of queuing systems like arrivals, queues, service, and departure.
The information in this slide is very useful for me to do the assignment regarding the simulation in which we have to report together with the presentation...
The information in this slide is very useful for me to do the assignment regarding the simulation in which we have to report together with the presentation...
this ppt is helpful for BBA/B.tech//MBA/M.tech students.
the ppt is on simulation topic...its covers -
Meaning
Advantages & Disadvantages
Uses
Process
Monte Carlo SImulation
Advantages & Disadvantages
Its example
This ppt will explain you the Defintion ,detailed explanation of phases with necessory diagrams, Applications ,Limitations and scope of Operations Research
Simulation training in medicine and technology managementMCH-org-ua
Presentation by the Ukrainian-Swiss Mother and Child Health Programme at 2nd Regional Health Technology Management Worskhop (April 10-11, 2014, Chisinau, Moldova)
this ppt is helpful for BBA/B.tech//MBA/M.tech students.
the ppt is on simulation topic...its covers -
Meaning
Advantages & Disadvantages
Uses
Process
Monte Carlo SImulation
Advantages & Disadvantages
Its example
This ppt will explain you the Defintion ,detailed explanation of phases with necessory diagrams, Applications ,Limitations and scope of Operations Research
Simulation training in medicine and technology managementMCH-org-ua
Presentation by the Ukrainian-Swiss Mother and Child Health Programme at 2nd Regional Health Technology Management Worskhop (April 10-11, 2014, Chisinau, Moldova)
ePARTICIPATION CRISIS SIMULATION EXERCISE: BRIDGING THE DIGITAL GAPTANKO AHMED fwc
As the world moves at a faster and voluminous pace, the need to acquire technology and the skill to use it is increasing at the rate beyond those societies that are unable to remedy their inadequacies. The essence of bridging the digital divide therefore rests on the systematic application of ICT capacity building through eparticipation. The challenges and opportunities in achieving this, provides the impetus for this work.
SIMUL8 Healthcare: Cross-boundary, Cross-sector – using simulationSIMUL8 Corporation
From a recent presentation to the Cumberland Initiative. SIMUL8 Healthcare's Executive Director of Health and Social Care Claire Cordeaux discusses how simulation can be used to model integrated care to support people outside hospital. Simulation allows us to understand the impact of changing service utilization on; flow, cost and capacity / resource.
Claire also presents case studies on how simulation was used in Hepatitis C screening to prevent liver disease, and to identify and manage patients with multiple conditions as part of the Year of Long Term Conditions Year of Care.
Modeling and simulation is the use of models as a basis for simulations to develop data utilized for managerial or technical decision making. In the computer application of modeling and simulation a computer is used to build a mathematical model which contains key parameters of the physical model.
CHAPTER Modeling and Analysis Heuristic Search Methods .docxtiffanyd4
CHAPTER
Modeling and Analysis: Heuristic
Search Methods and Simulation
LEARNING OBJECTIVES
• Explain the basic concepts of simulation
and heuristics, and when to use them
• Understand how search methods are
used to solve some decision support
models
• Know the concepts behind and
applications of genetic algorithms
• Explain the differences among
algorithms, blind search, and heuristics
• Understand the concepts and
applications of different types of
simulation
• Explain what is meant by system
dynamics, agent-based modeling, Monte
Carlo, and discrete event simulation
• Describe the key issues of model
management
I n this chapter, we continue to explore some additional concepts related to the model base, one of the major components of decision support systems (DSS). As pointed out in the last chapter, we present this material with a note of caution: The purpose
of this chapter is not necessarily for you to master the topics of modeling and analysis.
Rather, the material is geared toward gaining familiarity with the important concepts
as they relate to DSS and their use in decision making. We discuss the structure and
application of some successful time-proven models and methodologies: search methods,
heuristic programming, and simulation. Genetic algorithms mimic the natural process of
evolution to help find solutions to complex problems. The concepts and motivating appli-
cations of these advanced techniques are described in this chapter, which is organized
into the following sections:
10.1 Opening Vignette: System Dynamics Allows Fluor Corporation to Better Plan
for Project and Change Management 436
10.2 Problem-Solving Search Methods 437
10.3 Genetic Algorithms and Developing GA Applications 441
10.4 Simulation 446
435
436 Pan IV • Prescriptive Analytics
10.5 Visu al Interactive Simulatio n 453
10.6 System Dynamics Modeling 458
10.7 Agents-Based Mode ling 461
10.1 OPENING VIGNETTE: System Dynamics Allows Fluor
Corporation to Better Plan for Project and Change
Management
INTRODUCTION
Fluor is an engineering and construction company with over 36,000 employers spread
over several countries worldwide . The company's net income in 2009 amounted to
about $680 million based on total revenue o f $22 b illion. As part of its operations, Fluor
manages varying sizes of projects that are subject to scope changes, design changes, and
schedule changes.
PRESENTATION OF PROBLEM
Fluor estimated that changes accounted for about 20 to 30 percent of revenue . Most
changes were due to secondary impacts like ripple effects, disruptions, and p roductivity
loss. Previously, the changes were collated and reported at a later period and the burden
of cost allocated to the stakeholder responsible. In certain instances when late su rprises
abou t cost and project schedule are attributed to clients, it causes friction between
clients and Fluor, w hich eventually affect future business dealings. .
CHAPTER Modeling and Analysis Heuristic Search Methods .docxmccormicknadine86
CHAPTER
Modeling and Analysis: Heuristic
Search Methods and Simulation
LEARNING OBJECTIVES
• Explain the basic concepts of simulation
and heuristics, and when to use them
• Understand how search methods are
used to solve some decision support
models
• Know the concepts behind and
applications of genetic algorithms
• Explain the differences among
algorithms, blind search, and heuristics
• Understand the concepts and
applications of different types of
simulation
• Explain what is meant by system
dynamics, agent-based modeling, Monte
Carlo, and discrete event simulation
• Describe the key issues of model
management
I n this chapter, we continue to explore some additional concepts related to the model base, one of the major components of decision support systems (DSS). As pointed out in the last chapter, we present this material with a note of caution: The purpose
of this chapter is not necessarily for you to master the topics of modeling and analysis.
Rather, the material is geared toward gaining familiarity with the important concepts
as they relate to DSS and their use in decision making. We discuss the structure and
application of some successful time-proven models and methodologies: search methods,
heuristic programming, and simulation. Genetic algorithms mimic the natural process of
evolution to help find solutions to complex problems. The concepts and motivating appli-
cations of these advanced techniques are described in this chapter, which is organized
into the following sections:
10.1 Opening Vignette: System Dynamics Allows Fluor Corporation to Better Plan
for Project and Change Management 436
10.2 Problem-Solving Search Methods 437
10.3 Genetic Algorithms and Developing GA Applications 441
10.4 Simulation 446
435
436 Pan IV • Prescriptive Analytics
10.5 Visu al Interactive Simulatio n 453
10.6 System Dynamics Modeling 458
10.7 Agents-Based Mode ling 461
10.1 OPENING VIGNETTE: System Dynamics Allows Fluor
Corporation to Better Plan for Project and Change
Management
INTRODUCTION
Fluor is an engineering and construction company with over 36,000 employers spread
over several countries worldwide . The company's net income in 2009 amounted to
about $680 million based on total revenue o f $22 b illion. As part of its operations, Fluor
manages varying sizes of projects that are subject to scope changes, design changes, and
schedule changes.
PRESENTATION OF PROBLEM
Fluor estimated that changes accounted for about 20 to 30 percent of revenue . Most
changes were due to secondary impacts like ripple effects, disruptions, and p roductivity
loss. Previously, the changes were collated and reported at a later period and the burden
of cost allocated to the stakeholder responsible. In certain instances when late su rprises
abou t cost and project schedule are attributed to clients, it causes friction between
clients and Fluor, w hich eventually affect future business dealings. ...
Tata Group Dials Taiwan for Its Chipmaking Ambition in Gujarat’s DholeraAvirahi City Dholera
The Tata Group, a titan of Indian industry, is making waves with its advanced talks with Taiwanese chipmakers Powerchip Semiconductor Manufacturing Corporation (PSMC) and UMC Group. The goal? Establishing a cutting-edge semiconductor fabrication unit (fab) in Dholera, Gujarat. This isn’t just any project; it’s a potential game changer for India’s chipmaking aspirations and a boon for investors seeking promising residential projects in dholera sir.
Visit : https://www.avirahi.com/blog/tata-group-dials-taiwan-for-its-chipmaking-ambition-in-gujarats-dholera/
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
"𝑩𝑬𝑮𝑼𝑵 𝑾𝑰𝑻𝑯 𝑻𝑱 𝑰𝑺 𝑯𝑨𝑳𝑭 𝑫𝑶𝑵𝑬"
𝐓𝐉 𝐂𝐨𝐦𝐬 (𝐓𝐉 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬) is a professional event agency that includes experts in the event-organizing market in Vietnam, Korea, and ASEAN countries. We provide unlimited types of events from Music concerts, Fan meetings, and Culture festivals to Corporate events, Internal company events, Golf tournaments, MICE events, and Exhibitions.
𝐓𝐉 𝐂𝐨𝐦𝐬 provides unlimited package services including such as Event organizing, Event planning, Event production, Manpower, PR marketing, Design 2D/3D, VIP protocols, Interpreter agency, etc.
Sports events - Golf competitions/billiards competitions/company sports events: dynamic and challenging
⭐ 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬:
➢ 2024 BAEKHYUN [Lonsdaleite] IN HO CHI MINH
➢ SUPER JUNIOR-L.S.S. THE SHOW : Th3ee Guys in HO CHI MINH
➢FreenBecky 1st Fan Meeting in Vietnam
➢CHILDREN ART EXHIBITION 2024: BEYOND BARRIERS
➢ WOW K-Music Festival 2023
➢ Winner [CROSS] Tour in HCM
➢ Super Show 9 in HCM with Super Junior
➢ HCMC - Gyeongsangbuk-do Culture and Tourism Festival
➢ Korean Vietnam Partnership - Fair with LG
➢ Korean President visits Samsung Electronics R&D Center
➢ Vietnam Food Expo with Lotte Wellfood
"𝐄𝐯𝐞𝐫𝐲 𝐞𝐯𝐞𝐧𝐭 𝐢𝐬 𝐚 𝐬𝐭𝐨𝐫𝐲, 𝐚 𝐬𝐩𝐞𝐜𝐢𝐚𝐥 𝐣𝐨𝐮𝐫𝐧𝐞𝐲. 𝐖𝐞 𝐚𝐥𝐰𝐚𝐲𝐬 𝐛𝐞𝐥𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 𝐬𝐡𝐨𝐫𝐭𝐥𝐲 𝐲𝐨𝐮 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐚 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐨𝐮𝐫 𝐬𝐭𝐨𝐫𝐢𝐞𝐬."
LA HUG - Video Testimonials with Chynna Morgan - June 2024Lital Barkan
Have you ever heard that user-generated content or video testimonials can take your brand to the next level? We will explore how you can effectively use video testimonials to leverage and boost your sales, content strategy, and increase your CRM data.🤯
We will dig deeper into:
1. How to capture video testimonials that convert from your audience 🎥
2. How to leverage your testimonials to boost your sales 💲
3. How you can capture more CRM data to understand your audience better through video testimonials. 📊
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
Unveiling the Secrets How Does Generative AI Work.pdfSam H
At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
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This 60-minute webinar, sponsored by Adobe, was delivered for the Training Mag Network. It explored the five elements of SPARK: Storytelling, Purpose, Action, Relationships, and Kudos. Knowing how to tell a well-structured story is key to building long-term memory. Stating a clear purpose that doesn't take away from the discovery learning process is critical. Ensuring that people move from theory to practical application is imperative. Creating strong social learning is the key to commitment and engagement. Validating and affirming participants' comments is the way to create a positive learning environment.
2. What is Simulation
A simulation model is a mathematical model that calculates
the impact of uncertain inputs and decisions we make on
outcomes that we care about, such as profit and
loss, investment returns, etc.
A simulation model will include:
Model
inputs that are uncertain numbers/ uncertain
variables
Intermediate calculations as required
Model outputs that depend on the inputs -- These are
uncertain functions
3. Simulation is imitation of some real thing, or a process.
The
act of simulating something generally involves
representation of certain
key characteristics or
behaviors
of a selected physical or abstract system.
Simulation involves the use of models to represent real life
situation.
4. Definition
Simulation is
the process of designing a model of a real
system and conducting experiments with this model for the
purpose of understanding the behavior for the operation of
the system.
-Shannon
5. Simulation techniques
Simulation techniques can be used to assist management
decision-making, where analytical methods are either not
available or inappropriate.
Typical business problems where simulation could be used to
aid management decision-making are
Inventory control.
Queuing problems.
Production planning.
6. Advantages of Simulation
It is useful for sensitivity analysis of complex systems.
It is suitable to analyze large and complex real life problems
that cannot be solved by the usual quantitative methods.
It is the remaining tool when all other techniques become
intractable or fail.
It can be used as a pre-service test to try out new policies and
decision rules for operating a system.
7. Disadvantages of Simulation
Sometimes simulation models are expensive and take a long
time to develop.
Each application of simulation is ad hoc to a great extent.
The simulation model does not produce answers by itself.
It is the trial and error approach that produces different
solutions in repeated runs .It does not generate optimal
solutions to the problems.
8. Types of Simulation
Time dependent and time independent simulation :
In time dependent simulation know the precise time when the event is likely
to occur, but incase of time independent simulation it is not important to
know the time when the event is occur.
Corporate and financial simulations :
The corporate and financial simulation is used in corporate
planning, especially the financial aspects. The models integrate
production, finance, marketing, and other functions.
Visual interactive simulation :
It uses computer graphic displays to present the consequences of change in
the value of input variations in the model.
9. Steps of Simulation Process
Identify the problem :
The simulation process is used to solve a problem only when the
assumptions required for analytical models are not satisfied.
Identify the decision variables and decide the performance:
The inventory control situation, the demand, lead time and safety stock
are identified as decision variables and measure the performance.
Construct a simulation model :
For developing a simulation model, an intimate understanding of the
relationships among the elements of the system being required.
10. Testing and validating the model :
Any simulation model must represent the system under study. This requires
comparing a model with actual system validation process.
Designing of the experiment :
It refers to controlling the conditions of the study, such as the variables to
include. In this situations where observations are taken but the conditions of the
study are not controlled.
Run the simulation model :
The computer to get the results in the form of operating characteristics.
Evaluating the result :
The simulation process is complete, then select the best course of
action, otherwise make desired changes in model decisions variables.
11. Simulation and Queuing problems.
A major application of simulation has been in the analysis
of waiting line, or queuing systems.
Since the time spent by people and things waiting in line
is a valuable resource, the reduction of waiting time is an
important aspect of operations management.
Waiting time has also become more important because of
the increased emphasis on quality. Customers equate
quality service with quick service and providing quick
service has become an important aspect of quality service
12. Queuing problems.
For queuing systems, it is usually not possible to develop
analytical formulas, and simulation is often the only means of
analysis.
Simulation can hence be used to investigate problems that are
common in any situation involving customers, items or orders
arriving at a given point, and being processed in a specified
order.
For ex:
Customers arrive in a bank and form a single queue, which feeds
a number of service desks. The arrival rate of the customers will
determine the number of service desks to have open at any
specific point in time
13. Components of queuing systems
A queue system can be divided into four components
Arrivals: Concerned with how items (people, cars etc) arrive in
the system.
Queue or waiting line: Concerned with what happens between the
arrival of an item requiring service and the time when service is
carried out.
Service: Concerned with the time taken to serve a customer.
Outlet or departure: The exit from the system.
A queuing problem involves striking a balance between the
cost of making reductions in service time and the benefits
gained from such a reduction
14. Structures of queuing system
There are a number of structures of queuing systems in
practice.
We will study only one i.e. single queue – single service point.
Single queue – single service point
Queue discipline is first come – first served.
Arrivals* are random and for simulation this randomness must
be taken into account.
Service times** are random and for simulation this randomness
must be taken into account
*Inter-arrival time: Is the time between the arrival of successive customers in a
queuing situation.
**Service time: Is the length of time taken to serve customers
15. Monte Carlo simulation
The principle behind the Monte Carlo technique is representative
of the given system under analysis by a system
Setting up a probability distribution to be analysed.
Building a cumulative probability distribution for a
random variable.
Generate random numbers . Assign an appropriate set
of random numbers to represents value or
range(interval) of values each random variable.