Introduction & OverviewPaulus TangkereIndustrial Model
SimulationSession 1
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Course GoalsThis course is designed to help students understand
the requirements for the successful development and use of
simulation models, especially to visualize, analyze and improve the
performance of manufacturing and service systems.
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Course ObjectivesTo develop understanding on processes involved
in a simulation project.To improve skills to perform simulation
experiments, analyze the results and draw conclusions to collect
and analyze data required for a simulation model.To gain experience
on how to manage a simulation project successfully, especially to
ensure that a simulation model has been verified and validated so
there is sufficient confidence to use the model in
decision-making.
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SyllabusIntroduction and OverviewBasic Simulation ProcessSteps
in Simulation ModelingSimulation TechniquesVerification and
ValidationSimulation Data AnalysisReview I
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Syllabus-contMonte Carlo SimulationRandom Number GeneratorGroup
Presentation IGroup Presentation IIGroup Presentation IIIImproving
Simulation Validity and CredibilityReview II
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References Law, Averill M., Simulation Modeling & Analysis,
4th Edition. McGraw-Hill International Edition, 2007.Chung,
Christopher A., Simulation modeling handbook : a practical
approach. Industrial and Manufacturing Engineering Series, CRC
Press LLC, 2004 Other references.
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MethodologyLecturesReadingsCase StudiesAssignments
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Grading Midterm : 35%Final : 35%Others: 30%Assignments
individual and groupClass Participation(Course) Session SummaryQuiz
pretests and posttests
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Assignment SubmissionNo copy-paste.Submit electronically
(email)to [email protected] specified format: kmk-nim/kel-tgs
both in Subject and File Name2 (two) days before next class.Group
Presentations a week before schedule
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GroupConsists of max. 5
studentsResponsibilitiesDistributedTeamPersonal/IndividualInternal
communications
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Communication [email protected]
Format: kmk-nim/kel-tgskmk = kode mata kuliahnim = nomor induk
mahasiswa ataukel = kelompoktgs = nama tugas
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What is Simulation? Simulation means imitation of reality. The
purpose of simulation in the business world is to understand the
behavior of a system. Before making many important decisions, we
simulate the result to insure that we are doing the right
thing.
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Modeling and SimulationReal SystemConcept Model Computer
ModelSimulationConcept ModelingComputer ProgrammingModel
ValidationHypothesis TestsModel Verification
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Why SimulationGaining insight into the operation of a
systemDeveloping operating or resource policies to improve system
performanceTesting new concepts and/or systems before
implementationGaining information without disturbing the actual
system
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When to use Simulation Experimentation is not possible.
Actually, if we can do a real experiment, the results would
obviously be better than simulation. The analytical solution
procedure is not known. If analytical formulas are known then we
can find the actual expected value of the results quickly by using
the formulas. In simulation we can hope to get the same results
after simulating thousands of times.
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Types of simulationDeterministic and probabilistic
SimulationDeterministic simulation is used when process is very
complex or consists multiple stages with complicated (but known)
procedural interactions between them; Probabilistic simulation is
used when one or more of the independent variables is probabilistic
i.e. it follows a certain probability distribution.
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Types of simulationTime dependent and independent simulationIn
time independent simulation, it is not important to known exactly
when the event is likely to occur. E.g. we know demand of 3 units
per day but dont know when during the day the item was demanded.In
time dependent it is important to know the precise time when the
event is likely to occur. In a queuing situation the precise time
of arrival of customer must be known (to know if the customer will
have to wait)
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Types of simulationVisual Interactive Simulation uses computer
graphic displays to present the consequences of change in the value
of input variation in the model. The decisions are implemented
interactively while the simulation is running. The decision maker
keep track of development of model on a graphic interface and can
alter the simulation as it progress.
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Types of simulationBusiness Games several participants who play
a role in a game that simulates a realistic competitive situation.
Individual or teams compete to achieve their goals in competition
with the other individual or team.Corporate and Financial
Simulation used in corporate planning, especially the financial
aspects. The model integrate production, finance, marketing, and
possibly other functions, into one model.
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Simulation in BusinessSimulation of Inventory Problem Simulation
of Queuing Problem Simulation of investment problem Simulation of
Maintenance Problem Simulation of PERT Problem
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Advantages of SimulationSolves problems that are difficult or
impossible to solve mathematicallyAllows experimentation without
risk to actual systemCompresses time to show long-term
effectsServes as training tool for decision makers
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Limitations of SimulationDoes not produce optimum solutionModel
development may be difficultComputer run time may be
substantialMonte Carlo simulation only applicable to random
systems
