Which of the following would not be an operations function in a fast-food restaurant? A) advertising and promotion The Dulac Box plant produces 500 cypress packing boxes in two 8-hour shifts. The use of new technology has enabled them to increase productivity by 30%. Productivity is now approximately D) 40.6 boxes/hr. 3.One reason for global operations is to gain improvements in the supply chain. A) True 4.Productivity is the total value of all inputs to the transformation process divided by the
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| Chapter 14 Questions | | 3. Many companies take customer orders via Web sites. Put yourself in the place of the person at Ford Motor Company considering this approach to taking customer orders for the Ford Explorer sport utility vehicle. | What information would you need to collect from the customer? | I would collect information on the exact specifications of the Ford Explorer such as Model Year‚ engine capacity‚ interior finishing‚ power windows‚ power steering‚ and any luxury
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From the information gathered a prediction for the forecast can be made. Exponential smoothing: The alpha method of 0.95 would work here. The formula would look like this: NF=LF + a (LD- LF) Last Forecast (LF) = $6‚300‚000 Last Data (LD) =
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1087 1170 1196 1084 2008 1270 1137 1170 1155 1104 2009 1290 1186 1207 1259 1154 2010 x 1214 1236 1287 1195 B) Five-year moving average = 141.9 Three-year moving average = 78.6 Exponential smoothing (w = .9) = 45.7 Exponential smoothing (w = .3) = 110.9 C) I would use the exponential smoothing w=.9 because of the trending factor 6) A) In 2010 = 11450 units B) Sales would go from 11450 to 1100‚ which is about 3.9% reduction/loss C) Sales would decrease from 11450 to 9650 which
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PRODUCTION & OPERATIONS MANAGEMENT Forecasting helps managers and businesses develop meaningful plans and reduce uncertainty of events in the future. Managers want to match supply with demand; therefore‚ it is essential for them to forecast how much space they need for supply to each demand. 1.1 QUANTITATIVE TECHNIQUES * LINEAR TREND Show steady‚ straight-line increases or decreases where the trend-line can go up or down and the angle may be steep or shallow
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These four techniques are called exponential smoothing‚ decomposition‚ ARIMA‚ and multiple regression. To do so I picked one dependent (Y) variable along with two independent (X) variables and collected 80 monthly observations for each variable. This historical data allowed me to create four different forecasting models which predict future Vehicle Sales with low risk of error. The best model according to the lowest error measures was winter’s exponential smoothing method because it had the lowest
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Forecasting on the Development of Alternative Delivery Channel (ADC) Product of AB Bank Limited INTRODUCTION Operation Management is the management of systems or processes that create goods and/or provide services. This project is aimed on the implementation of the processes involved in the Operation management‚ facilitating the creation of goods and services‚ and providing overall operational efficiency in an organization. For implementing the project proposal it is required to select
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derive the learning curve function (Please show your work by using the formulas in Lesson 02). What is the rate of learning (or learning curve percentage)? d. Based on the learning curve obtained from part c‚ estimate the time that would take you to produce the 150th unit? 2. (4 points) Professor Cook teaches Operations Management at an Ontario University. She is scheduled to give her class of 55 students a final exam on the last day of the exam week‚ and she is leaving town the same day. She is concerned
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the text‚ exercise 9.1 provides data for Palmdale Human Services. In this exercise it asks for the 20X5 figures using several forecasting models. The 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
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PERENCANAAN & PENGENDALIAN PRODUKSI TIN 4113 Pertemuan 2 • Outline: – – – – – Karakteristik Peramalan Cakupan Peramalan Klasifikasi Peramalan Metode Forecast: Time Series Simple Time Series Models: • Moving Average (Simple & Weighted) • Referensi: – Smith‚ Spencer B.‚ Computer Based Production and Inventory Control‚ Prentice-Hall‚ 1989. – Tersine‚ Richard J.‚ Principles of Inventory and Materials Management‚ Prentice-Hall‚ 1994. – Pujawan‚ Demand Forecasting Lecture Note‚ IE-ITS‚ 2011
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