Operations Management: Processes And Supply Chains (12th Edition) (what's New In Operations Management)
Operations Management: Processes And Supply Chains (12th Edition) (what's New In Operations Management)
12th Edition
ISBN: 9780134742205
Author: Lee J. Krajewski, Manoj K. Malhotra, Larry P. Ritzman
Publisher: PEARSON
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Chapter 8, Problem 2DQ

Kay and Michael Passe publish What‘s Happening?—a biweekly newspaper to publicize local events. What’s Happening? has few subscribers; it typically is sold at checkout stands. Much of the revenue comes from advertisers of garage sales and supermarket specials. In an effort to reduce costs associated with printing too many papers or delivering them to the wrong location, Michael implemented a computerized system to collect sales data. Sales-counter scanners accurately record sales data for each location. Since the system was implemented, total sales volume has steadily declined. Selling advertising space amid maintaining shelf space at super markets are getting more difficult.

Reduced revenue makes controlling costs all the more important. For each issue, Michael carefully makes a forecast based on sales data collected at each location. Then, lie orders papers to be printed and distributed in quantities matching the forecast. Michael’s forecast reflects a downward trend, which is present in time sales data. Now only a few papers are left over at only a few locations. Although the sales forecast accurately predicts time actual sales at most locations, What’s Happening? is spiraling toward oblivion. Kay suspects that Michael is doing something wrong in preparing the forecast but can find no mathematical errors. Tell her what is happening.

Chapter 8, Problem 2DQ, Kay and Michael Passe publish What‘s Happening?—a biweekly newspaper to publicize local events.

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Sales of tablet computers at Marika Gonzalez's electronics store in Washington, D.C., over the past 10 weeks are shown in the table below: Week 1 2 3 4 5 6 7 8 9 10 Demand 21 21 27 38 25 30 35 24 25 30 a) The forecast for weeks 2 through 10 using exponential smoothing with a = 0.50 and a week 1 initial forecast of 21.0 are (round your responses to two decimal places): Week 1 2 3 4 5 6 7 8 9 10 Demand 21 21 27 38 25 30 35 24 25 30 Forecast 21.0 21 21 24 31 28 29 32 28 26.50 b) For the forecast developed using exponential smoothing (a = 0.50 and initial forecast 21.0), the MAD = |||||sales (round your response to two decimal places).
Sales of tablet computers at Marika Gonzalez's electronics store in Washington, D.C., over the past 10 weeks are shown in the table below: Week Demand 1 2 3 4 5 6 7 8 9 10 21 21 27 38 25 30 35 24 25 30 a) The forecast for weeks 2 through 10 using exponential smoothing with a = 0.50 and a week 1 initial forecast of 21.0 are (round your responses to two decimal places): Week 1 2 3 4 5 Demand 21 21 27 38 Forecast 21.0 ☐ G ☐ ☐ 6 7 25 30 35 ∞ ☐ 8 9 10 24 25 30

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Operations Management: Processes And Supply Chains (12th Edition) (what's New In Operations Management)

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