Study Guide for the Second Exam Aggregate Production Planning (APP) 1. What are the major inputs‚ constraints‚ and outputs of the aggregate production plan (APP)? Inputs - Strategic objectives of the corporation‚ policies‚ demand. Constraints - financial constraints (cash) and capacity constraints (machining capacity‚ limited labor in certain skill category‚ a critical component and/or raw material.) Outputs - is to determine the gross levels of inventory‚ overtime‚ subcontracting‚ backordering
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Quality College are shown in the following table: Year 1 2 3 4 5 6 7 8 9 10 11 Registrations 4 6 4 5 10 8 7 9 12 14 15 a) Develop a 3 year moving average to forecast registrations from year 4 to year 12. Year 4 5 6 7 8 9 10 11 12 Forecast 4.6 5 6.3 7.6 8.3 8 9.3 11.6 13.6 b) Estimate demand again for years 4 to 12 with a 3 year weighted moving average in which registrations in the most recent years are given a weight of 2‚ and registrations in the other 2 years are each given a weight of 1
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11 Registrations (000) 4 6 4 5 10 8 7 9 12 14 15 a) Develop a 3-year moving average to forecast registration from year 4 to year 12. b) Estimate demands again for years 4 to 12 with a weighted moving average in which registration in the most recent year are given a weight of 2 and registration in the other 2 years are given a weight of 1. c) Graph the original data and the two forecasts. Which of the two forecasting methods seems better? 10. City Government has collected the following data on
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PSA 540 Par A6 Additional examples of situations where accounting estimates‚ other than fair value accounting estimates‚ may be required include: • Allowance for doubtful accounts. • Inventory obsolescence. • Warranty obligations. • Depreciation method or asset useful life. • Provision against the carrying amount of an investment where there is uncertainty regarding its recoverability. • Outcome of long term contracts. • Costs arising from litigation settlements and judgments. • Warranty expense is
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Why has the value of cash increased over time? * Thomas W. Bates Arizona State University Thomas.Bates@asu.edu Ching-Hung (Henry) Chang Arizona State University Ching-Hung.Chang@asu.edu Jianxin (Daniel) Chi University of Nevada‚ Las Vegas Daniel.Chi@unlv.edu First Draft: January 2011 This Draft: December 2011 Abstract: The value of cash holdings by U.S. non-financial firms has increased significantly over the past three decades. An additional dollar of cash holdings is valued at $0.61 in
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|623 | Use simple linear regression to forecast the annual number of births for each of the next three years. Determine the coefficient of determination for the data and interpret its meaning. Moving Averages IPC’s Plant estimates weekly demand for its many materials held in inventory. One such part‚ the CTR 5922‚ is being studied. The most recent 12 weeks of demand for the CTR 5922 are : |Week |Demand in units
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Introduction to O&SCM -- Chapter 1 • Definitions • Operations and supply chain management (OSCM) is defined as the design‚ operation‚ and improvement of the systems that create and deliver the firm’s primary products and services • Concerned with the management of the entire system that produces a product or delivers a service • Operations refers to manufacturing and service processes that are used to transform the resources employed by a firm into products desired by customers •
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QUALITATIVE FORECASTING METHODS Qualitative forecasting methods are based on educated opinions of appropriate persons 1. Delphi method: forecast is developed by a panel of experts who anonymously answer a series of questions; responses are fed back to panel members who then may change their original responses a- very time consuming and expensive b- new groupware makes this process much more feasible 2. Market research: panels‚ questionnaires‚ test markets‚ surveys‚ etc. 3. Product life-cycle
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process of find 20X5 will include the use of moving averages‚ weighted moving averages‚ and exponential smoothing. The Palmdale Human Services personal expenses for the past four years are represented in the following data: Fiscal Year | Expense | 20X1 | $5‚250‚000 | 20X2 | $5‚500‚000 | 20X3 | $6‚000‚000 | 20X4 | $6‚750‚000 | For moving averages and weighted moving averages‚ use only the data for the past three fiscal years: Moving Averages Fiscal Year | Expenses | 20X2 | $5‚500‚000
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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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