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    Practice Exam

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    BUS 305 Practice Exam 3 1) Assume the following time series data representing the number of sales per day your company’s employees make. Year-Quarter | t | Yt | 2001-1 | 1 | 17 | 2001-2 | 2 | 26 | 2001-3 | 3 | 21 | 2001-4 | 4 | 15 | 2002-1 | 5 | 19 | 2002-2 | 6 | 18 | 2002-3 | 7 | 21 | 2002-4 | 8 | 23 | a) Use Applet #16 to calculate the seasonal index numbers for the four quarters. b) Interpret what each of the four indices you computed in (a)

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    Business

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    Service the Process Learning Objectives By the end of this Unit‚ you should be able to:  Describe different types of demand patterns and explain the difference between dependent and independent demand.  Explain the main different ways of forecasting demand.  Describe the main issues to consider when specifying delivery and supplier service/responsiveness.  Outline other types of information important to the supplier that should be included in a specification. ITC M2:U4:1 Purchase

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    Barilla Spa Case

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    The case begins with Giorgio Maggiali’s frustration with the fluctuations imposed on the company’s manufacturing and distribution system. He is the director of logistics at Barilla who has been working on the concept started Brando Vitali who was his predecessor. This was the Just-In-Time-Distribution (JITD) concept as an extension of the Just-In-Time Manufacturing concept developed at Toyota. This basically toyed with the idea of delivering its products to its distributors as per Barilla’s customer

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    SCM 303

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    Exam 3 Outline SCM 303 Chapter 12 Demand Planning: Forecasting and demand management Demand Planning- the combined process of forecasting and managing customer demands to create a planned pattern of demand that meets the firm’s operational and financial goals. Fluctuating customer demand cause operational inefficiencies‚ such as: Need for extra capacity resources‚ backlog‚ customer dissatisfaction‚ system buffering (safety stock‚ safety lead time‚ capacity cushions‚ etc.) 3 basics tactics

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    Procurement Simulation

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    Table of Contents Consensus versus Average Forecasting 1 Options 1 Demand Forecast 1 Supplier Selection 2 Change Orders 3 Lessons 3 Appendix A: Simulation Comments 4 Appendix B: Simulation Results 6 Consensus versus Average Forecasting The consensus forecasts worked well for quick insight into estimated demand for each month. In our first year we used the consensus demand because we did not know the dynamics of the group‚ and we were relying on their expertise to guide us toward

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    If needed‚ additional workspace is provided on the next sheet. Doug Moodie is the president of Garden Products Limited. Over the last 5 years‚ his vice president of marketing has been providing the sales forecast using his special “focus” forecasting technique. The actual sales for the past ten years and the forecasts from the vice president of marketing are given below. |Year |Sales |VP/Marketing Forecast

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    Study Guide

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    problems in the book. But read the book. Forecasting 1. Do forecasting accuracy increase or decrease as the planning horizon increases? 2. Do forecasting accuracy increase or decrease as items are grouped (aggregated?) 3. What is Delphi method? What makes it work? 4. What problems do you see with sales force composite estimate? 5. What is causal (associative) forecasting? 6. What is time series forecasting? 7. What are the components of time series? 8. Which

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    Four Primary Forecasting Techniques The primary forecasting techniques that Bronson Methodist Hospital uses varies with the ongoing processes of building‚ implementing‚ evaluating and the never-ending improvements that are made in each forecast models that are consistent throughout the organization. Bronson hospital focuses on using forecasting techniques that have data that is readily available‚ can be performed in house‚ easy to understand and the forecasting methods are reasonable (Harrelson

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    INTRODUCTION Inventory is the total amount of goods or materials contained in a store at any time. Store owners need to know the precise number of items on their shelves and storage areas in order to place orders or control losses. Factory managers need to know how many units of their products are available for customers orders. Restaurants need to order more food based on their current supplies and menu needs. All of these business rely on an inventory count to provide answers. The word ‘Inventory’

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    | 1. Introduction Sales forecasting plays a crucial corporate role because it provides the basis for company-strategic decisions‚ including capacity preparation‚ inventory level‚ and capital expenditure budgets. Because of the uncertainty of sales forecasting errors‚ companies must increase costs to satisfy customer requirements and prepare a higher inventory level or capacity to avoid sales loss. Hence‚ sales forecasting accuracy has a considerable influence on company cost

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