EBK OM
EBK OM
6th Edition
ISBN: 9781305888210
Author: Collier
Publisher: YUZU
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Chapter 1, Problem 8PA
Summary Introduction

Interpretation: Customer benefit package for one of the items is to be constructed and its impact on the customers is to be explained.

Concept Introduction: A customer benefit package includes core offering (goods/service) combined with few added benefits that improves the value of the whole package.

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The forecast for each week of a four-week schedule is 50 units. The MPS rule is to schedule production if the projected on-hand Inventory would be negative without it. Customer orders (committed) are follows: Week Customer Order 1 52 35 20 12 Use a production lot size of 75 units and no beginning Inventory. Determine the available-to-promise (ATP) quantities for each period. Note: Leave no cells blank - be certain to enter "0" wherever required. Period ATP 1 2 3
Prepare a master schedule given this information: The forecast for each week of an eight-week schedule is 60 units. The MPS rule is to schedule production if the projected on-hand Inventory would be negative without it. Customer orders (committed) are as follows: Week Customer Orders 1 2 36 28 4 1 Use a production lot size of 85 units and no beginning inventory. Note: In the ATP row, enter a value of 0 (zero) in any periods where ATP should not be calculated. Leave no cells blank - be certain to enter "0" wherever required. June July 1 2 3 4 5 8 7 8 Forecast 60 60 60 60 60 60 60 60 Customer Orders 38 28 4 1 0 0 0 0 Projected On-Hand Inventory MPS ATP
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).
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