A PROJECT REPORT ON DEMAND FORECASTING OF RETAIL SUPPLY CHAIN MANAGEMENT USING STATISTICAL ANALYSIS By AVINASH KUMAR SONEE 2005B3A8582G KRISHNA MOHAN YEGAREDDY 2006B3PS704P AT HETERO MED SOLUTIONS LIMITED Madhuranagar‚ Hyderabad A Practice School–II station of [pic] BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCE‚ PILANI DECEMBER‚ 2009 A PROJECT REPORT On DEMAND FORECASTING OF RETAIL SUPPLY CHAIN MANAGEMENT USING STATISTICAL ANALYSIS by AVINASH KUMAR SONEE - (M
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DEMAND FORECASTING Demand forecasting is the activity of estimating the quantity of a product or service that consumers will purchase. Demand forecasting involves techniques including both informal methods‚ such as educated guesses‚ and quantitative methods‚ such as the use of historical sales data or current data from test markets. Demand forecasting may be used in making pricing decisions‚ in assessing future capacity requirements‚ or in making decisions on whether to enter a new market. Knowledge
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Demand Forecasting Demand forecasting • Why is it important • How to evaluate • Qualitative Methods • Causal Models • Time-Series Models • Summary Production and operations management Product Development long term medium term short term Product portifolio Purchasing Manufacturing Distribution Supply network designFacility Partner selection location Distribution network design and layout Derivatuve Supply Demand forecasting is product developmentcontract the starting ? point
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How to develop an Effective Scientific Retail Demand Forecast? Purpose of the Forecast The ability to effectively forecast demand is critical to the success of a retailer. In this hyper competitive environment of ever diminishing margins‚ every paisa saved or earned is critical. A robust demand forecast engine‚ can have significant impacts on enhancing both top & bottom lines. In today’s world‚ the retailers require forecasts that would be instrumental in directing the organisation through
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DEMAND FORECASTING Demand forecasting is the process of predicting future average sales on the basis of historical data samples and market intelligence. The volatility of demand from an average level is supplied from the safety inventory. Any forecast is likely to be wrong‚ so the focus should be on understanding the range of potential forecast errors and the level of safety inventory that will cater for peak demand. An important additional calculation is forecast bias. This is the cumulative
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Answers:- Technologies in SCM:- 1. Enterprise Resource Planning. 2. Warehouse Management systems 3. Transportation Scheduling Systems 4. Manufacturing Execution Systems 5. Customer Relation Management 6. Order Management Systems 7. Demand Planning 8. Procurement Planning Name of the sogftwares those are available in the market 1. Enterprises Resources Planning ( ERP) A. Total ERP B. Oracle 11i ERP or Enterprise Resource Planning software provides and cover variety of essential
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DEMAND & FORCASTING Founded as a single store in 1960‚ Domino’s Pizza today stands as the recognized world leader in pizza delivery. From the beginning‚ we have been dedicated to the best of service‚ quality products and delivery excellence. They currently have over 9000 stores worldwide‚ all dedicated to providing great-tasting pizza delivered directly to your door or available for carryout. They have pioneered the pizza delivery business‚ and sell more than 400 million pizzas worldwide
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Forecasting Methods Forecasting demand is not an easy task. The market is constantly changing and it makes the product demand difficult to predict. Therefore‚ there is not such as perfect product forecast of what customers will need in the future. However‚ there are several methods that help attenuating the uncertainty of forecasting demand. Since‚ the forecast methods or techniques differ from one another; the objective is to compare and contrast several forecasting methods‚ and how they are
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general problem of having to make decisions under conditions of uncertainty. Management must understand the nature of demand and competition in order to develop realistic business plans‚ determine a strategic vision for the organization‚ and determine technology and infrastructure needs. To address these challenges‚ forecasting is used. According to Makridakis (1989)‚ forecasting future events can be characterized as the search for answers to one or more of the following questions: X What new economic
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Forecasting Methods What is forecasting ? Why is forecasting important ? How can we evaluate a future demand ? How do we make mistakes ? Prod 2100-2110 Forecasting Methods 0 Contents 1. FRAMEWORK OF PLANNING DECISIONS ............................................................................... 2 2. FORECASTING................................................................................................................................. 3 2.1 CHARACTERISTICS ..............
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