Mombasa Computer Services assembles customized personal computers from generic parts. Formed and operated by part-time students, the company has had steady growth since it started. The company assembles computers mostly at night, using part-time students. Paulette and Maureen purchase generic computer parts in volume at a discount from a variety of sources whenever they see a good deal. Thus, they need a good forecast of demand for their computers so that they will know how many parts to purchase and stock. They have compiled demand data for the last 12 months as reported below. 2 Period Month Demand Period Month Demand 1 Jan 37 7 July 43 2 Feb 40 8 August 47 3 March 41 9 September 56 4 April 37 10 October 52 5 May 45 11 November 55 6 June 50 12 December 54 REQUIRED a) Use exponential smoothing with smoothing parameter = 0.3 to compute the demand forecast for January (Period 13). (4 Marks) b) Use exponential smoothing with smoothing parameter = 0.5 to compute the demand forecast for January (Period 13). (4 Marks) c) Use trend-adjusted exponential smoothing with smoothing parameter = 0.5 and trend parameter = 0.3 to compute the demand forecast for January (Period 13 (4 Marks) d) Compute the monthly demand forecast for June through November using a 5-month moving average. (4 Marks) e) Compute the monthly demand forecast for April through November using a 3-month weighted moving average. Use weights of 0.5, 0.33, and 0.17, with the heavier weights on the more recent month (4 Marks)