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- Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows: MONTH DEMAND (UNITS) January 4,240 February 4,340 March 4,040 April 4,440 May 5,040 June 4,740 July 5,340 August 4,940 September 5,440 October 5,740 November 6,335 December 6,030 a. Using linear regression analysis, what would you estimate demand to be for each month next year? (Do not round intermediate calculations. Round your answers to 2 decimal places.) b. To be reasonably confident of meeting demand, Nina decides to use 4 standard errors of estimate for safety. How many additional units should be held to meet this level of confidence? (Do not round intermediate calculations. Round…please help me with Question 3 thanks! Demand forecasts for 2021 are as follows: Month Demand Jan 140,000 Feb 78,900 Mar 85,800 Apr 89,100 May 123,600 Jun 136,350 Jul 120,450 Aug 106,950 Sep 121,950 Oct 135,750 Nov 87,000 Dec 93,300 Each worker can produce 900 products per month and is paid $1500 per month. Assume that at the end of last year, the company has 100 employees working on the production line. Hiring and layoff (firing) decisions are made at the beginning of each month, and associated costs are charged at that time. It costs the company $400 to hire and $800 to lay off a worker. The company incurs holding cost for the amount of ending inventory in each month, and incurs backorder cost at the end of each month for any unfilled orders. The company incurs $2 per month for holding one unit in inventory and $4 per unit backorder. 1 Prepare a level aggregate plan. Under this level aggregate plan, how…Demand for stereo headphones and music players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for this year was as follows: MONTH DEMAND (UNITS) January 4,150 February 4,250 March 3,950 April 4,350 May 4,950 June 4,650 July 5,250 August 4,850 September 5,350 October 5,650 November 6,250 December 5,950 a. Using linear regression analysis, what would you estimate demand to be for each month next year? Using a spreadsheet, follow the general format in Exhibit 3.8. (Do not round intermediate calculations. Round your answers to 2 decimal places.) b. To be reasonably confident of meeting demand, Nina decides to use 3 standard errors of estimate for safety. How many additional units should be held to meet this…
- Discuss the concept of demand variability and how it impacts the effectiveness of the Wilson approach. What strategies can be employed to mitigate the effects of demand variability in this approach?A building has an NO of $130,000 and is being valued with acap rate of 4%. Using the income approach, what is the value of the building? $3,250,000 $2.450,000 $1,300,000 $4.130,000Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows: MONTH DEMAND (UNITS) January February 4,100 4,200 March 3,900 April 4,300 May 4,900 June 4,600 July 5,200 August 4,800 September 5,300 October 5,600 November 6,200 December 5,900
- How does demand variability affect the effectiveness of the Wilson approach? Provide examples.2. A toy manufacturer has three different mechanisms that can be installed in a doll that it sells. The different mechanisms have three different setup costs (overheads) and variable costs and, therefore, the profit from the dolls is dependent on the volume of sales. The anticipated payoffs are as follows. Light Demand 0.25 $325,000 $300,000 -$400,000 Heavy Demand 0.3 Probability Wind-up action Pneumatic action Electrical action Moderate Demand 0.45 $190,000 $420,000 S170,000 $400,000 $800,000 $240,000 a. What is the EMV of each decision alternative? b. Which action should be selected? c. What is the expected value with perfect information? d. What is the expected value of perfect information? e. What is the expected opportunity loss?QUESTIONS (Using the same problem) A vendor for the local ballpark food stand is questioning whether to stock his concession with a large or small inventory. He believes that it will depend upon the size of the crowd. He has developed a payoff matrix for the various alternatives (stocking decision) and states of nature (size of crowd). What is the Expected Monetary Value (EMV)? Alternatives Large Inventory Small Inventory Probability OA) $68,400 O B)-$20,000 O C) $10,000 O D) $51,500 O E) $78,400 Large Crowd $220,000 $90,000 .20 PROFIT ($) Average Crowd $50,000 $70,000 .50 Small Crowd -$2,000 -$5,000 .30
- Assume an initial starting Ft of 200 units, a trend (Tt ) of 8 units, an alpha of 0.30, and a delta of 0.40. If actual demand turned out to be 288, calculate the forecast including trend for the next period.Lakewood Fashions must decide how many lots of assorted ski wear to order for its three stores. Information on pricing, sales, and inventory costs has led to the following payoff table, in thousands. Order size 2 lots 1 lot 1 lot 3 lots (a) Show a regret table. Order size 2 lots 3 lots Low 13 9 6 Low Demand Medium 16 23 38 High 16 38 61 Demand Medium (b) What decision should be made by the optimist? O 1 lot O2 lots O 3 lots (c) What decision should be made by the conservative? O 1 lot O 2 lots O3 lots (d) What decision should be made using minimax regret? O 1 lot O2 lots O 3 lots High Maximum RegretCalculate customer life time value for the data below. (Show Work) Purchase Occasion Transition Probability Average Basket Size 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 ΝΑ 55% 75% 78% 83% 81% 81% 86% 82% 85% 90% 93% 85% 89% 85% 91% 97% 97% 96% 85% 83% 89% 82% 79% 82% 89% 88% 86% 67% 75% $46.71 $56.71 $57.93 $56.87 $58.26 $66.90 $63.62 $70.27 $63.03 $62.60 $71.81 $76.76 $78.14 $65.65 $74.84 $81.11 $72.08 $87.30 $71.94 $75.44 $70.35 $72.86 $66.68 $79.90 $93.91 $61.08 $94.16 $100.40 $77.89 $99.70