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Q1:Pls read and summarize Chapter 2-3 from your book. Quality Management for Org. Excellence. • You will read the chapters and make a summary of 2 pages for each chapter.if you include a schema or table it may exceed 2 pages, but do not include all • You will put your comments and Ideas about the topic as my opinions title • It is what you understand • Scores are given for how much you understand and how neat the summary is prepared (the summary needs to be done after reading the whole chapter, not as part by part) Dont forget hat I told you abot the summaries to receive a high score. (Do you agree or not agree which part and why.) Don't copy paste! See Answer
Q2:Task 2. Perform a Context, Audience and Purpose analysis of the text.See Answer
Q3:Question 2 Background - "DTF Restaurant" Hiring Process DTF Restaurant (DTF for short) is a famous chain restaurant that offers high-quality dining services in Singapore. DTF has a few branch stores located in different malls in Singapore. Since the government eased most of the Covid-19 pandemic safe management measures in May 2022, DTF was facing growing customer demand. However, its branch stores were facing manpower shortages in daily operations. DTF is also planning to open more branches in Singapore or even overseas. For restaurants, the employee turnover rate is often high. Thus, DTF has to regularly hire staff in different positions to meet the growing demand and further expansion requirement. Recently, many branch store managers complained that the Human Resource (HR) department was not recruiting the staff fast enough to fill the vacant positions. On 1 August 2023, DTF's HR Director - Jennifer Tan investigated the matter and appointed you, who is trained in Lean Six Sigma methodology, to lead a Lean Six Sigma project to improve the hiring process by reducing the average lead time taken to hire staff by at least 30% in three months. (a) (b) Discuss the VOC and define the CTQ (Project Y) for your Lean Six Sigma project. Create a project charter before embarking your project. Develop the SIPOC diagram for a typical hiring process which may not be necessarily the same as the hiring process in the DTF restaurant. Examine three (3) factors that could affect the lead time of the hiring process.See Answer
Q4:Part B (Maximum 1500 Words as a total for all part B) 1- Propose a PDCA improvement project to address a healthcare problem of your choice. Ensure to describe in detail the problem you wish to address and analyze its possible causes using the Fishbone Diagram tool and Pareto chart. Identify the vital few causes (2) and propose a suitable solution. (CLO 1, CLO 2, CLO 3) 2- Explain how you will implement the solution. Indicate how you will know (which measurement?) that an improvement will take place when you implement the project. Describe the data collection plan. (CLO 1, CLO 3, CLO 4)See Answer
Q5:3. A failure density function f(t) is given by: f(t) = (ß/n³) (tß-1) exp [-(t/n) ³] A cumulative failure density function, F(t) is given by: F(t) = 1-exp [-(t/n) ³] What is the reliability function, R(t)? What is the hazard rate (failure rate) function, h(t)? What can be said about the failure rate for ẞ equal to 1, less than 1 and greater than 1?See Answer
Q6:5. For a constant failure rate, mission reliability is given by: -λt R(t) A system has a failure rate of 5 failures per million hours. = e What is the mission reliability for 5,000 hours? The system survives that 5,000 hours. If the system survives that first 5,000 hours, assuming the failure rate is still constant, what is the probability of surviving the next 5,000 hours? (Hint: Don't forget about the 10-6 factor in the failure rate.)See Answer
Q7:Problem 1. A company kept a chart on resistance. Xdouble bar was: and UCLX was: 25 MegOhms, with a sample size of: The company adopted a new specificationto keep the resistance at a minimum of 18 MegOhms with no USL . What is: Cpk RR ppm 22 MegOhms 25.See Answer
Q8:Problem 4: A new contract was written with Company B with the following stipulations: Cpk = 1.1, Specification Nominal (N) = 10 ± 0.3 mils. Company B wants to design their process by setting the process average = 10 mils and the sample size (n) = 50. Find: Xdouble bar: UCLX: LCLX: LCLr: Rbar: Reject Rate: UCLr: ppmSee Answer
Q9:1. A piece of equipment has a failure rate of 10 failures per million hours, and is run for 1000 hours. What is the probability that the one piece of equipment will survive that 1000 hours? Three (3) of these pieces of equipment are each run for 1000 hours. For the 3 pieces of equipment, use the Binomial equation to calculate: The probability of zero (0) failures. The probability of one (1) failure. The probability more than one (>1) failure.See Answer
Q10:3. A reliability test is run for 5000 hours. There are four (4) failures, all happening sometime in the first 4500 hours. Then, the test was run for an additional 500 hours with no more failures. In other words, this was a time-terminated 5000 hour test with 4failures. For a time-terminated test with four (4) failures, how many degrees of freedom (v) does this represent? Using Chi-Squared, calculate the lower confidence level MTBF for a 60% confidence level (40% risk factor) for this test. The same test was continued to 7631 hours (2631 additional hours) with no additional failures. Using Chi-Squared, calculate the lower confidence level MTBF for a 90% confidence level (10% risk factor) for this test. Compare your two MTBF answers, and comment on how this illustrates a way of increasing the confidence level of a test from 60% to 90%See Answer
Q11:4. Some failure test data was collected, and the results were as follows: 0-1000 hours: 12 failures 1001-2000 hours: 8 failures 2001-3000 hours: 7 failures 3001-4000 hours: 13 failures 4001-5000 hours: 11 failures We wish to test this data to see if it follows a constant failure rate of 10 failures per 1000 hours. Use the Chi-squared goodness of fit test to determine if this data can represent a constant failure rate of 10 failures every 1000 hours. Hint: there are 5 'bins", so use DOF (v) of 5-1 = 4. The Chi-squared table is on pages 453 and 454 of your textbook.See Answer
Q12:1. A reliability test of 7 samples was run until all samples had failed. As each sample failed, it was taken out of the test (not replaced). The times to failure were (in hours): 150, 400, 500, 1000, 1500, 2000, 2500. Perform a data plot, using median ranking, on 2 cycle Weibull paper. What is the slope (B)? What is the scale factor (n)? What does the slope tell you about the failure rate? What does n represent (besides scale factor) with the data having the slope you just determined?See Answer
Q13:1. The following diagram is a fault tree analysis (FTA) of a system that consists of 3 assemblies. If the system fails, history has shown that each assembly has a certain probability of being the cause of the failure. Further, history has shown that, within each assembly, the failure could be component or workmanship. Component failures could be caused by memory, logic or passive components. Workmanship failures could be caused by opens (open circuit) or shorts (short circuits). The probability of each type of failure for each level is shown in the diagram. System fails Component 2016 Memory Logic CO% Passive Assembly 1 fails 30% Workmanship 80% Opens Shorts 40% DON Assembly 2 fails Component Memory Logic Passive CO% Workmanship Opens Shorts 40% 00% Assembly 3 fails 30% Component 20% Memory Logic Passive DON 10% Workmanship BON Opens Shorts 40% DON If the system fails, what bottom level (in the tree structure) type of failure is the most likely cause, and in which assembly does it most likely reside? If the system fails, what is the probability that the failure is being caused by a memory component?See Answer
Q14:2. A simpler form of an FMECA is an FMEA (Failure Modes Effects Analysis). An FMEA does not consider how often a failure occurs, but only evaluates its effect and severity when it does occur. An FMECA evaluates both severity and probability of occurrence, and sometimes one additional parameter. A Risk Profile Number (RPN) analysis always brings this additional parameter into the analysis. Besides severity and probability of occurrence, what additional parameter does an RPN analysis consider? Discuss why this additional parameter is important, especially in critical applications or missions.See Answer
Q15:Problem #3 An inspector counted the percent of defectives (out of 100 samples) of a monthly billing statement of a company. Using the following data set, construct a control chart that will describe two sigma of the chance variation in the process (use the following questions as your section titles). Present your control chart Identify the QC charts you chose and why Specifically discuss the upper and lower control limits and any patterns in the data Discuss the two sigma control limits and its importance Discuss the process mean Comment on randomness and if a pattern is present Sample Defects 1 9 2 11 3 12 4 6/n6 5 19 6 11 7 10 8 17 9 13 10 10 11See Answer
Q16:Problem #4 Set up your own statistical process control application from your current work environment (or one you are familiar with) using one Range chart, one X bar chart, one p chart and one C chart. Feel free to fabricate your own data to develop the models(Use the following as your section titles): Provide a brief description of your application and a brief conclusion of the findings Present your control charts Specifically discuss the upper and lower control limits and any patterns in the data Discuss the sigma control limits and why a 1, 2 or 3 sigma was your choice Discuss the process meanSee Answer
Q17:Assignment 3 is a reflective report. This module gives a relatively generic view of quality from academic and industrial backgrounds. However, the implementation of quality systems often differs depending on the organisation and industry sectors. For this assignment you are required to write a reflective report, summarising your experience of quality based on your professional practice. (Energy) You should include a reflective account comparing and contrasting the practices you have experienced with the module guided learning and associated reading. The report should make reference to the topics covered in the module. As a guide it should include the following topics as a minimum: • An introduction to the role, area or department being discussed. (Oil and Gas Drilling) Your experiences of quality implementations including: Definition of quality in the context of your role, department and/or company. How quality is measured and associated costs evaluated. How well embedded the culture of quality is in the organisation or department. Are there management system(s) in place to support philosophies such as lean and Six Sigma? ● O o o O O Is there a process of continuous improvement or a reactive approach to quality? Alignment with best practice./n● A reflective discussion of how your experience of industry practice aligns with the theory / teaching. Discussion of potential further improvements that could be implemented. Your report must be no more than 2,000 words long. You must submit it as a Microsoft Word Marking Criteria This assignment is marked out of 100, considering the following assessment criteria: Overview of the organisation, role or department being discussed, covering the function and quality requirements / measures [20 marks] Discussion of quality in practice [30 marks] • Reflection on alignment of professional practice and theory [30 marks] Discussion of potential further improvements [20 marks]See Answer
Q18: LABORE THE UNIVERSITY OF QUEENSLAND AUSTRALIA SCIENTIA AC ENGG 4103 Engineering Asset Maintenance and Management Practical No. 1 2024 Attach this to your submission. Case Study: Weibull distributions and Optimal Replacement Policies The largest optical telescope array in the world is the Very Large Telescope (VLT) array owned and operated by the European Southern Observatory and located on the 2,500 m peak of Cerro Paranal in the Atacama Desert in Chile. The array consists of four telescopes with 8 m diameter mirrors (see Fig 1). These telescopes produced the first direct images of planets outside of our solar system, weighed distant stars and have made important observations concerning black holes. The surface of each mirror has a curvature that has to be carefully controlled as the telescope track stars that are moving relative to the earth. To control this curvature, 64 hydraulic cylinders are mounted around the perimeter of each mirror, and 150 axial cylinders are mounted beneath. Fig. 1 ESO Telescope, Cerro Paranal 1 Fig.2 Base of 8 m mirror PART A In the attached file "Paranal_cylinder_replacements” you will find a list of the axial cylinders that were replaced during 2006. The data is classified as either a failure (F) or suspension (S) according to the nature of the replacement (suspensions refers to those components that are still in service at the time of analysis). It is required to fit a Weibull function to the failure data in order to determine the dominant failure mode of the cylinders. To do this you will have to: (i) (ii) (iii) (iv) An event is the name given to a failed or suspended item. Beginning by ordering all of the events by days of service in ascending order Determine the number of events, si (suspended items or failures) preceding each failure. (for the first event, so = 0) Create a new page by copying and pasting a copy of the current work page. On the new page, filter out all suspended items, leaving just failed items. List the failed components, i, ranked according to the hours of operation N+1-J Determine the mean rank ji, for each failure where: j₁ = ji-1 + N+1-S₁ where jo = 0. This is a way of taking into account the rank of each failed item given where it is located in the ordered list of all events (failed plus suspended items) (v) Calculate the median rank using: F(t) = J-0.3 N+0.4 This is the best (vi) (vii) estimate for the cumulative probability of failure F(t). Plot ln(ln(1/(1-F(t)) against ln(t-to), where to is the failure free time. Adjust a linear regression fit to the graph and vary to to obtain the best fit. Determine the shape factor, ẞ, from the gradient of the graph. (viii) Determine the scale factor, n = (-b/³) where b is the y intersect of the graph. Marking criteria: e 1 Mark - Discussion of use of Weibull curves for failure rate data 1 Mark – Inclusion of diagram showing Weibull failure rate curves for different ranges - of ẞ values 1 Mark - Inclusion of spreadsheet summarising results 2 Marks Correct estimations for Weibull parameters. 2 PART B (i) If the cost of performing a preventive replacement is C₁ = US$ 5,000 versus the cost of performing an unscheduled replacement Cf= US$ 20,000 calculate the interval at which the cylinders should be preventively replaced in order to optimise hourly operating costs. (Adapt the associated Excel file "Prac 1 optimal replacement”). Marking criteria 1 Mark - Brief inclusion of theory, including pdf graph 1 Mark - Inclusion of spreadsheet 1 Mark - inclusion of graph 1 Mark - Correct interpretation of replacement window. 1 Marks - neat, summarised report <4 pages in length plus spreadsheet appendices. Attach a copy of your working calculations Submit via Turnitin by 16:00 hrs on Friday 22nd March. Late penalty: zero marks in the absence of pre-approval from the course coordinator. P. F. Knights 15-03-2024. 3See Answer
Q19:ME 450 HOMEWORK 7 Transfer Function Analysis There are several Matlab functions that can be applied to transfer functions: pzmap, impulse, step, and bode. For this problem, we will focus on pzmap. We have already done several examples with the step function on other homework assignments and in the lectures. In the solution that will be posted after the homework is turned in, you can see the applications of the other functions. I encourage you to look at it closely. Problem 1 (5 points) : For the given transfer function, plot the poles and zeros in the complex plane using pzmap and comment on the stability of the system. G(s) =- s2 +10s +89 s Problem 2 (5 points) : For the given transfer function, plot the poles and zeros in the complex plane using pzmap and comment on the stability of the system. G2(s) =- 53 + 4s2 + 29s s2 + 25 Problem 3 (5 points) : For the given transfer function, plot the poles and zeros in the complex plane using pzmap and comment on the stability of the system. G3(s) = 32+15s +56 S+10 Problem 4 - Bode Plots (10 points) A student in ME450 used MATLAB to plot the Bode diagram of four Transfer functions and generate the step response. Unfortunately, the student forgot to label the plots. Match the transfer function, with the correct plots using the table below: Transfer Function G1 = ( 0.1s + 1)2 G2 = 0.5s2 + S G3=52 + 0.5s + 3 1 (0.1s + 1) G4 = (0.2s + 1) Step Response Bode Diagram You can easily check this with MATLAB. However, please explain your answer. For instance, in the Bode diagram you can look at the maximum phase, the initial slope of the magnitude plot, etc. In the step response, you can look at the initial slope, the steady state-value. "I used MATLAB" is not an acceptable explanation. 1 1 5 0 Magnitude (dB) 0 Magnitude (dB) -50 20 -100 40 10-1 100 10 102 10-1 10º 101 10- (A) Frequency (rad's) (B) Frequency (rad/s) O O Phase (deg Phase (deg) -100 -100 -200 -200 10-1 10º 101 102 10-1 100 101 107 Frequency (rad's) Frequency (rad/s) 0 Magnitude (dB) -2 AN Magnitude (dB) 50 0 -4 -50 -6 10-1 100 10 102 10-1 10º 101 102 (C) Frequency (rad's) (D) Frequency (rad's) 0 Phase (deg -100 Phase (deg -10 -150 -20 -200 10-1 100 101 102 10-1 100 101 102 Frequency (rad's) Frequency (rad's) Problem 5 - Match the Step Responses (10 points) (I) 1000 1 Step Response Step Response 900 0.95 800 0.9 700 0.85 Amplitude 600 Amplitude 500 0.75 400 0.7 300 200 0.6 100 0.5% 0 05 20 40 60 80 100 120 140 160 180 200 O 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 Time (seconds) Time (seconds) Step Response Step Response (III) 1 (IV) 0.6 0.9 0.8 0.7 Amplitude 0.6 Amplitude 0.5 0.3 04 02 0.3 02 0.1 0.1 0 0 0 02 1 1.2 0 10 15 20 25 30 Time (seconds) Time (seconds) 2 Problem 6 - Two Mass System (40 pts) Consider the following two mass-spring-damper system: k2 C2 m2 k C1 m1 x,*, 1 Figure 1 - System for Simulink Problem The equations of motion for the system shown in Figure 1 are: mx +ci +kx - cx2 - k1x2 = f m 2 x 2 + (c1 + c 2 )¿2 + (k + k2 )x 2 - c1 x1 - k1 x1 = 0 a) Implement the system of equations above in Simulink using the following parameters: m1 =10; % Mass 1 [kg] m2 =100; % Mass 2 [kg] c1 =100; % Damping Coefficient 1 [Ns/m] c2 =1000; % Damping Coefficient 2 [Ns/m] k1 = 1e4; % Spring Coefficient 1 [N/m] k2 = 1e5; % Spring Coefficient 2 [N/m] Tend = 10; % Simulation Stop Time [s] You can assume that the initial conditions are all zero. Define the model parameters in a separate .m file and use the ode45 Solver inside of Simulink. This does not mean use ode45.m. Make sure to decrease the maximum step size if the plots are not smooth. b) Simulate the response of the system assuming that f (t) is a step function of magnitude 5 N. Plot the response of the systems (the two positions X1(t) and x2(t)) in two separate figures. c) Simulate the response of the system assuming that f (t) is a sinusoidal function: f(t) = 3 sin(10t). Plot the response of the systems (the two positions x1(t) and x2(t)) in two separate figures. 3 fSee Answer

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