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- 1. Create a risk profile for a particular area of interest. 2. Choose a commodity for which you want to create a risk profile. 3. List five possible risks that could have an impact on the commodity's production capacity. 4. Use a Venn diagram to perform a qualitative risk assessment, indicating the likelihood percentage, category, frequency, severity, and RHC score for each risk identified. 5. Create a risk heat map or chart using the risks from the Venn diagram. 6. Summarize the prioritized areas briefly and offer some recommendations for risk reduction.ABC Manufacturing Co. has just observed a job in its laboratory in anticipation of releasing the job to the factory for production. The firm wants rather a good accuracy for costing and labor forecasting. Specifically, it wants to provide a 99% confidence level and a cycle time that is within 2% of the true value. Observation Time 1 1.8 2 1.6 3 1.5 4 1.4 5 1.5 6 1.5Problem 3-4 (Static) An electrical contractor's records during the last five weeks indicate the number of job requests: 2 3 22 18 Week: Requests: 1 20 4 21 Click here for the Excel Data File Predict the number of requests for week 6 using each of these methods: a. Naive. 5 22 Answer is complete but not entirely correct. Number of requests 24 X requests b. A four-period moving average. (Round your answer to 2 decimal places.). Answer is complete but not entirely correct. Number of 23.25 c. Exponential smoothing with a = 0.30. Use 20 for week 2 forecast. (Round your intermediate calculations and fina mal nisenel
- 1. Using MAD as the criterion, which of the following models would you use for thegiven time series data? Why?A. Naïve approach;B. 5-month SMA model;C. WMA model with weights 0.1, 0.3, and 0.6; orD. ES model with α = 0.5 and a forecast of 3,500 liters in the first month.NOTE: In answering Item 1, mention the whole description of the model; i.e., not just“SMA model”, but “SMA model with n = ...”; not just “WMA model”, but “WMA modelwith weights ...”; not just “ES model”, but “ES model with α = ...”.Check if all right. Which one is wrong about time horizons. Medium/long range forecasts deal with more comprehensive issues and support management decisions regarding planning and products, plants and processes. Short-term forecasting usually employs different methodologies than longer-term forecasting. Short-term forecasts tend to be more accurate than longer-term forecasts Economic forecasts: Address business cycle - inflation rate, money supply, housing starts, etc What is the objective of process design? The objective is to create umbrella term for manufacturing processes that use irregular production schedules to create several different products using one production line. The objective is to create high degree of product flexibility The objective is to create facilities are organized around specific activities or processes The objective is to create a process to produce offerings that meet customer requirements within cost and other managerial constraints What is benefit of…United Par X #3 eBook My Home Jan. 1, Year 1 June 30, Year 1 Dec. 31, Year 1 June 30, Year 2 Dec. 31, Year 2 June 30, Year 3 Dec. 31, Year 3 Check My Work 20 F3 com/ilrn/takeAssignment/takeAssignmentMain.do?invoker=&takeAssignmentSession Locator=&inprogress=false $ 54 X 000 F4 % ci do CengageN X Oak Branch Inc. issued $860,000 of 5%, 10-year bonds when the market rate was 4%. They received $930,324. Interest was paid semi-annually. Prepare an amortization table for the first three years of the bonds. Round intermediate and final answers to whole dollar amount. Cash Interest Payment 5 Show Me How My Home 6 Interest on Carrying Value All work saved. X MacBook Air F6 ∞ 7 CengageN x F7 Amortization of Premium 000000 * CO 8 SAML Logo X ➤II F8 9 Carrying Value 1000 Email Instructor Texas State X F9 N Netflix # = I F10 < Previous. Next Save and Exit Submit Assignment for Grading Update F11 + 11
- Ten weeks of data on the Commodity Futures Index are:7.35 7.40 7.55 7.56 7.60 7.52 7.52 7.70 7.62 7.55 a. Construct a time series plot. What type of pattern exists in the data?b. Use trial and error to find a value of the exponential smoothing coefficient a thatresults in a relatively small MSE.4. What is the difference between trend and seasonality in time series data? 5. Here are the errors associated with a particular forecast over the past 5 months, in chronological order: 5, 10, -15, 0, 8. In which month was the forecast perfectly accurate? In which month was the forecast the least accurate? In which month or months was the forecast too high? (Noteshaper Ramp Up # 23) 6. Tutoring Center needs to allocate tutors this week for office appointments, so it needs to forecast the number of students who will seek appointments. The director has gathered the following time series data recently: Time Period Code Student Appointments Jan 6 - 10 95 Jan 13 - 17 80 Jan 20 - 24 65 Jan 27 – 31 4 50 a) What is the naïve forecast for the number of student appointments for Time Period 5 (Feb 3– 7)? b) What is the 2 week moving average for Time Period 5? c) What is the 3 week moving average for Time Period 5? d) What is the forecast for Time Period 5 using exponential smoothing with alpha =…Company Name: Floward (flowers Market) Create a campaign for your company to launch, starting January 2021 till December, that will be active for 12 months. Marketing budget: SR 450,000 to spend on digital advertising media over the next 12 months. The budget also includes up to SR 340,500 for advertising creative and content development, and for the company to manage the program. Monitoring and Optimization: describe how you will measure and improve digital marketing performance during the campaign. What tools you will use to monitor the campaign’s activity. (Must include screenshots of the monitoring tools that will keep track of your costs and activity).
- In exponential smoothing, if ɑ = 0.3, then the damping factor for use in forecasting should be: * o .70 o .60 o .40 o .50 o .30Suppose a researcher aims to investigate the relationship of investment and growth of XYZ organization for the past 2.5 decades. Which type of time horizon should he used? a. a & b is correct b. Cross-sectional data c. Time Series data d. Panel dataConsider the ANOVA table that follows. Analysis of Variance Source DF SS MS F p Regression 2 77.907 38.954 4.14 0.021 Residual Error 62 583.693 9.414 Total 64 661.600 a-1. Determine the standard error of estimate. (Round your answer to 3 decimal places.) a-2. About 95% of the residuals will be between what two values? (Round your answers to 3 decimal places.) b-1. Determine the coefficient of multiple determination. (Round your answer to 3 decimal places.) b-2. Interpret the coefficient of multiple determination. (Round your answer to 1 decimal place.) Determine the coefficient of multiple determination, adjusted for the degrees of freedom. (Round your answer to 3 decimal places.) Prev Question 5 of 30 Total5 of 3