Simulation Project
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The document summarizes the steps involved in building a simulation model to analyze the performance of a mining system with three shovels loading ore onto trucks that deliver the ore to a primary crusher. The key steps included: defining the problem and system boundaries, developing a conceptual model, designing preliminary experiments, preparing input data on equipment sizes and processing times, translating the model into the Witness simulation software, verifying and validating the model, experimenting with the model, analyzing and interpreting the results, and documenting the project. The overall goal was to estimate the average queue times at the crusher and shovels and the utilization of the equipment.
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INSTRUCTIONS
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For example, if Dr. Williams were submitting this test, it would be ENGR131_21F_Midterm_mrw8.m For your script, please perform the following:
1. Separate each question into separate, runnable sections using the “%%” comment notation.
2. You may use the code and notes from class, the textbook, and MATLAB’s documentation.
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QUESTIONS
There are 3 questions for this exam.
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ENGR 131 21F-IN-060-101-A (Midterm Instructions)
) (
9/23/2021
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-> To Highlight the main variables/factors influencing Customer Churn.
-> To Use various ML algorithms to build prediction models, evaluate the accuracy and performance of these models.
-> Finding out the best model for our business case & providing executive Summary.
To address the mentioned business problem, we tried to follow a thorough approach. We did a detailed level Exploratory Data Analysis which consists of various Box Plots, Bar Plots etc..
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ENGR 131 Elementary Computer ProgrammingTeam IN – Instructor
ENGR 131: Elementary Computer Programming
Team IN – Instructor
Midterm Exam
INSTRUCTIONS
Complete the exercises below and upload them to Canvas as a single MATLAB script file (.m) using the naming convention “ENGR131_21F_Midterm_abc123.m”, replacing abc123 with your Case ID, and ## with the two- digit lab number.
For example, if Dr. Williams were submitting this test, it would be ENGR131_21F_Midterm_mrw8.m For your script, please perform the following:
1. Separate each question into separate, runnable sections using the “%%” comment notation.
2. You may use the code and notes from class, the textbook, and MATLAB’s documentation.
3. Use comments as appropriate to indicate your thoughts and how your code works (or is supposed to work). This is 10 points (10%) of your grade.
QUESTIONS
There are 3 questions for this exam.
(
ENGR 131 21F-IN-060-101-A (Midterm Instructions)
) (
9/23/2021
) (
Page
1
of 5
)
1. SOLVING SYSTEMS OF EQUATIONS (20 PTS)
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(a) (b)
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Cup Radius (in)
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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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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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This document provides an introduction to verification and the Universal Verification Methodology (UVM). It discusses different types of verification including simulation, functional coverage, and code coverage. It describes how simulators work and their limitations in approximating physical hardware. It also covers topics like event-driven simulation, cycle-based simulation, co-simulation, and different types of coverage metrics used to ensure a design is fully tested.
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The document is titled "Basics of the CNC Turning Center 120" by Shriraam Madanagopal, dated September 16, 2010. It likely provides an overview of the key features and functions of a CNC Turning Center 120 machine.
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The document discusses probabilistic decision making and the role of emotions in decision making. It defines key probability concepts like sample space, classical probability theory, and conditional probability. It explains that emotions can both help and hinder decision making - emotions may lead to faster decisions in some cases but also cause problems like procrastination. The document argues that removing emotions from decision making can allow for more optimal decisions by avoiding issues like sub-optimal intertemporal choices due to self-control problems.
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The document discusses multi-attribute decision making (MADM) and its application in selecting the optimal design for a circlip grooving operation. It describes identifying criteria such as material costs, manufacturing costs, and material properties. Utility functions are developed to evaluate alternatives based on the criteria. Three learning management systems (LMS) are evaluated and analyzed using the MADM model to select the best option. The analysis found that MADM can help design an optimal, cost-efficient circlip design that considers various parameters.
Advanced engineering economy
This document provides an introduction to engineering economy. It defines economics as the study of how limited resources are used to produce and distribute goods and services. It discusses microeconomics, which deals with individual decision-making, and macroeconomics, which looks at aggregate outcomes for an overall economy. Managerial economics applies economic principles to organizational decision-making, while engineering economics specifically evaluates the costs and benefits of engineering projects and systems. Decision-making involves reducing uncertainty to choose the best alternative based on available information. The quality of a decision depends on the process used, not the outcome. Engineering and public projects require structured decision-making approaches.
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The multiple linear regression model aims to predict water cases produced from four predictor variables: run time, downtime, setup time, and efficiency. Preliminary analysis found run time has the highest correlation to water cases. Residual analysis showed non-constant variance, so a square root transformation of water cases was tested but did not improve the model. Further analysis is needed to develop the best-fitting multiple linear regression model.
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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Simulation Project
- 1. Simulation Key Assignment<br />Problem 1:<br />Steps Involved in our process:<br />Problem Definition : <br />A truck delivers ore from three shovels to the primary crusher, and a shovel is assigned to each truck so that thte trucks return to their respective shovels after delivering the ore to the crusher. The related data is to the truck which gives the size, the loading time and travelling time are also given. The main object of the problem is to estimate the time average number in queue for the crusher and shovel and also to estimate the utilization of the four pieces of the equipment.<br />Project Planning:<br />For building the simulation software we have been given the management support from the company for whom the project is been built. It is been given that the company understands that is the project planning is one of the most important steps in building a simulation model. The computer hardware has been provided and the software support also has been provided in the form of WITNESS 2008. Also one of the most important concepts of project planning is the communication channel; also we have to make sure that we provide nice response to the clients.<br />System Definition:<br />409575112966500The system boundary for this assignment has been given as the nine trucks and three shovels, eight buffers and a crusher. <br />Crusher <br />40576502108200015049502870200096202528702000<br /> <br />Three shovels<br />Eight buffer<br />4762501181100039528751181100034290001181100029051251181100023907751181100018954751181100014097001181100096202511811000<br />4438650184150039528751841500342900018415002905125184150023907751841500189547518415001390650184150093345018415004762503746500Nine trucks<br /> Conceptual Model Formulation:<br />To develop the model we will have to first develop a preliminary model in a graphical manner with the suitable pseudo-code, which will help us in determining components, variables and interactions. With this preliminary model, we can make and develop other alternative models. We must take care to see that the large systems should be broken down to reduce the complexity of the model.<br />Preliminary Experimental Design:<br />The system’s performance has to be selected. Various factors will be analyzed and will be varied, but since the system here is very small, so won’t have so much variability. The main favorable thing about this step is that we can plan the model with the desired data most effectively and efficiently. <br />Input data preparation: <br />The input data given to us is elucidated in the table mentioned below:<br />Truck sizeloadtravel dumpreturn<br /> tons<br /> 20 Exp distn with mean 5 const 2.5Exp distn with mean 2 const 1.5<br /> 50 Exp distn with mean 10const 3exp distn with mean 4 const 2<br />Model Translation<br />The model translation in our problem, is explained as per the Witness model <br />Verifiaction and Validation:<br />We see that shovel A,B,Care almost equal busy and that the crusher is busy for 87.01%. Also the model never stops so we can say that the model is proper.<br />Final Experimentation Design:<br />From our design experimentation using Witness we can infer that the analysis can be applied to the results. The success of Witness can be seen answering the questions asked in the model. This model shows makes our model correct.<br />Analysis and Interpretation:<br /> In this phase the simulation outputs are compared to various cases. But since the system is very small the chance of making changes to study will make the variations in the case very small.<br />Documentation and Implementation:<br />The project is said to be complete only when our results have been well understood, and accepted.<br />If our documentation is not proper it will be an appropriate model.<br />