Eight Steps to Forecasting • Determine the use of the forecast □ What objective are we trying to obtain? • Select the items to be forecast • Determine the time horizon of the forecast □ Short time horizon – 1 to 30 days □ Medium time horizon – 1 to 12 months □ Long time horizon – more than 1 year • Select the forecasting model(s) |Description |Qualitative Approach |Quantitative Approach
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1. INTRODUCTION : Indian automobile industry embarked on a new journey in 1991 with delicensing of the sector and subsequent opening up for 100 percent FDI through automatic route. In view of this‚ the study attempts to estimate the economic performance of Indian automobile industry in terms of capacity utilization at an aggregate level. It estimates econometrically rate of capacity utilization in the industry at aggregate level and analyses its trend during the post liberalization period from
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Chapter FORECASTING Discussion Questions 1. Qualitative models incorporate subjective factors into the forecasting model. Qualitative models are useful when subjective factors are important. When quantitative data are difficult to obtain‚ qualitative models may be appropriate. 2. Approaches are qualitative and quantitative. Qualitative is relatively subjective; quantitative uses numeric models. 3. Short-range (under 3 months)‚ medium-range (3 months to 3 years)‚ and long-range (over
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INTRODUCTION TO AUTOMOBILE INDUSTRY The automotive industry designs‚ develops‚ manufactures‚ markets‚ and sells motor vehicles‚ towed vehicles‚ motorcycles and mopeds as defined in ISO 3833‚ and is one of the world’s most important economic sectors by revenue. Automobiles changed the world during the 20thcentury‚ particularly in the United States and other industrialized nations. From the growth of suburb to the development of elaborate road and highway systems‚ the so called horseless carriage has forever altered the modern landscape
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The Policy Process Part II Lenue Richardson HCS/455 March 14‚ 2013 University of Phoenix The Policy Process Part II Introduction The development of policy is not something that can be done in an efficient manner. However; there are times when policies are very burdensome and can be a very big challenge‚ one that is loaded with all sorts of committees and everything else‚ it is truly an experience. Although the creating of a policy is a very different experience it is necessary
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1) Raw data‚ not seasonalized 2) Seasonal Adjustment used: Census II X-12 multiplicative (MASA): Used because of the presence of seasonal variations that are increasing with the level of my series. Increasing degree of variability overtime… TX non seasonalized and seasonalized 3) Combined seasonally adjusted with non-seasonally adjusted De-seasonalizing the data helped with the removal of seasonal component that creates higher volatility in model. Now‚ variations
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ANC Introduction: Headlines: • Typhoon ‘Lawin’ gets stronger‚ heads far northern Luzon • Eye of ’Lawin’ to spare northern Luzon: PAGASA • CebuPac cancels 4 Caticlan flights • ’Lawin’ slightly weakens Reporter 1: Typhoon ‘Lawin’ gets stronger‚ heads far northern Luzon Typhoon “Lawin” sped up slightly as it continued its movement towards the northern Philippines‚ the state weather bureau said. At 4 p.m. Wednesday‚ the eye of the supertyphoon was plotted by satellite and surface data at
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LECTURE 3 CASH BUDGETING CLASS QUESTION 1 Alberta Limited needs a cash budget for the month of November. The following information is available: The cash balance on November 1 is $6‚000. Sales for October and November are $80‚000 and $60‚000 respectively. Cash collections on sales are 30 percent in the month of sale‚ 65 percent in the following month‚ and 5 percent uncollectible. General expenses are budgeted to be $23‚000 for November. Inventory purchases will total $30‚000 in October and
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tactics implemented by management in order to become more competitive and world-class in their operations. Hard Rock Café has clearly made great strides in modernizing their business venue by utilizing sophisticated POS systems with the latest forecasting trends. Some tactics they have implemented include an extensive Point-of-sale system (POS)‚ which captures transaction data on nearly every person who walks through a cafe’s door. The sale of each entrée represents one customer. They forecast monthly
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fashion forecasting “Forecasting provides a way for executives to expand their thinking about changes‚ through anticipating the future‚ and projecting the likely outcomes.” (Lavenback and Cleary 1981) Long term forecasting (over 2 years ahead) is used by executives for planning purposes. It is also used for marketing managers to position products in the marketplace in relationship to competition. (http://www.fibre2fashion.com/industry-article/free-fashion-industry-article/fashion-forecasting/fashion-forecasting5
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