.A firm has 77 units of a product on hand. Forecasts of demand are 26 units per week. An MPS quantity of 90 units is planned to arrive in period 3. Customer orders are 29 for period 1, 27 for period 2, and 19 for period 3. What is the projected on-hand inventory at the end of period 3? (use excel to show formulas)
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1.A firm has 77 units of a product on hand.
What is the projected on-hand inventory at the end of period 3? (use excel to show formulas)
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- Month# Jan Feb Mar Apr May June Forecast# 1800 1500 1100 1500 2100 1600 Name Labor hours per unit (hr/unit) Initial number of workers Safety Stock (units) Working hours in a day(hr/day) Beginning inventory(units) Value 5 30 0 9 450 Month# Jan Feb Mar Apr May June Working Days available 21 21 21 21 21 19 The tables present forecasts, production, and cost information for aggregate planning. Using a level strategy with backorders to produce at average demand, now many workers are required each month? (Round up the calculated number of workers to the nearest whole number, and round the production rate to the nearest whole number← Given an actual demand this period of 100, a forecast value for this period of 110, and an alpha of 0.84, what is the exponential smoothing forecast for next period? (Round answer to the nearest whole number.) O A. 102 OB. 108 O C. 92 OD. 100 OE. 110Table 1. Demand of Hairdryer from January to July [Jadual 1. Permintaan Pengering Rambut dari Januari 2021 hingga Julai 2021] Month Demand January February 2800 2870 March 2968 April Мay 3000 3100 Jun 3150 July 3400 a) Calculate forecast future demand for May, June, July and August by using 3 months simple moving average.[hitung ramalan permintaan masa depan untuk bulan Mei, Jun, Julai dan Ogos dengan menggunakan purata bergerak sederhana 3 bulan.] *
- Using the moving average forecast, is it possible to forecast a demand that is biggerthan any previously observed demand?a. Yesb. NoMedanalysis, Inc., provides medical laboratory services to patients of Health Providers, a group of 10 family-practice doctors associated with a new health maintenance program. Managers are interested in forecasting thenumber of blood analysis requests per week. Recent publicity about the damaging effects of cholesterol on theheart has caused a national increase in requests for standard blood tests. The arrivals over the last 16 weeks aregiven in Table 8.1. What is the forecasted demand for the next three periods?Using the exponential smoothing forecast, is it possible to forecast a demand that isbigger than any previously observed demand?a. Yesb. No
- . Case: Flamingo Educational Services Flamingo Educational Services, a company located in the Tema metropolis, is a nationwide market leader in the publishing and distribution of textbooks for first and second cycle schools. Somehow, Flamingo does not use forecasts for production planning. Instead, the operations manager decides which books to produce and the batch size, based on orders and the amounts in inventory. The books that have the fewest amounts in inventory get the highest priority. Demand is uneven, and the company has experienced being overstocked on some items and out of others. Being under-stocked has occasionally created tensions with managers of the retail bookstores the company works with. Flamingo is on the verge of losing a lucrative contract with the Ghana Education Service over a complaint that the books produced over the last four months have defective binding as well as slight but noticeable variations in print quality and sizes of the…Historical demand for a product is: DEMAND January 13 February 10 March 14 April 13 May 15 June 14 a. Using a weighted moving average with weights of 0.40 (June), 0.20 (May), and 0.40 (April), find the July forecast. (Round your answer to 1 decimal place.) b. Using a simple three-month moving average, find the July forecast. (Round your answer to 1 decimal place.) c. Using single exponential smoothing with α = 0.20 and a June forecast = 12, find the July forecast. (Round your answer to 1 decimal place.) d. Using simple linear regression analysis, calculate the regression equation for the preceding demand data. (Do not round intermediate calculations. Round your intercept value to 1 decimal place and slope value to 2 decimal places.) e. Using the regression equation in d, calculate the forecast for July. (Do not round intermediate calculations. Round your answer to 1 decimal place.)Part C Exponential Exponential Gasoline Demand Gasoline Month smoothed forecast smoothed forecast Exponential smoothed forecast (a = 0.25) Demand (a = 0.25) (a = 0.45) Exponential smoothed forecast (a = 0.45) Mar 900 920 920 1200 Apr May 755 915.00 911.00 1100 1000 650 875.00 840.80 g20 915.00 846 80 755 818.75 754.94 904.76 835.12 Jun 550 818.75 754.94 800 320 751.56 66272 645.74 746.83 Jul 625 751.56 662.72 650 600 550 Aug Sep 730 719.92 645.74 820 722.44 683.66 400 D Oct 1100 746.83 745.01 200 1 Nov 835.12 904.76 Mar Apr May Jun Jul Aug Sep Oct Nov 1. Make a comparative analysis out of your answers in the plotted data. (3-5 5 sentences)
- In past 4 weeks, AOC (Arab oil company) started producing and distributing national engine oil to substitute French Total and Esso brands. Production reported to be in thousands: 2, 4, 3, 5 TG Thousand Gallons). AOC production will be calculated after 5 more weeks.Q2: A company has seasonal demand, with the forecast for the next 12 months as given below. The current labor force can produce 500 units per month. Each employee can produce 20 units per month, and is paid $2,000 per month. The inventory carrying cost is $50 per unit per period. It costs $100 to hire or layoff an employee. Assume 200 units of initial inventory and we would like to keep the similar level at the end of the year. Month 1 3 4 7 8 9 10 11 12 Demand 660 700 840 700 660 500 600 840 80 900 700 600 Please use level and chase strategy to calculate the total cost of two plans (please show your work).QUESTIONS: Quarterly demand for a washing machine is as shown. 1. After obtaining initial estimates for level, trend, and seasonal factors. forecast the demand for the first quarter of year III using Winter's model with a 6- - 0,25 where x is the last two digits of your student number. 2. Make a tracking signal analysis for the forecast and evaluate Maks Year I II Quarter 1 2 3 4 1 2 3 4 Demand 1900 1224 4000 5600 4800 1048 6200 8000