Case Study

Wilkins Case study Demand Forecasting report Wilkins deals with 2 several(predicate) products coerce Valves & Fire Valves. These two products have distinct seeking patterns Pressure valvesFire valves PART regard gross revenueMEMAPE 12-7205677.366235-557.648.943705 34-72013443.528020-1457652.02156 1-72023619.91116312456.9111.591 34-42064273846043 1573.698 1-4204391.9223572034.9286.33517 bestow 53560 48159 5401 PARTforecast salesMEMAPE 12-720118.5088533.50839.42118 34-720216.89219917.8928.990955 1-72065.962140-74.03852.88429 34-42045.83866-20.16230.54848 1-420111.89021.824.22222 add559580 As shown in above calculations tot up sales comes bulge come forth to be 48159 but the forecast sales were 53560 there is a huge difference amidst the 2 set so this shows that they were Over-optimistic on prognostication the sales on pressure valves The highest Mean absolute % demerit which comes out to be 1573% is an exceptional case, which is not acce ptable Avg. Mean error comes out to be 5401/48159=0.112?11.2% CAGR= 10.2% As shown in above calculations hail sales comes out to be 580 but the forecast sales were 559 There is not much difference between the 2 set so this shows that they were not much confident in early(a) words they were Pessimistic on forecasting the sales on fire valves. Avg Mean error = 3.

6% CAGR = 7.3% The above calculations and values were forecasted on the basis of Executive Opinion. Estimations shown above indicate most problems deal inventory issues, Production issues. There is an overproduction much than unavoidable demand for some products which results in storage issues. we wishing to lodge the statistical meth! od of applying Regression techniques & Trend summary for forecasting on the given previous sales info for Pressure Valves & fire valves QTR QTY FOREAST 1748159...If you want to get a ingenuous essay, order it on our website: OrderEssay.net

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