Loose Leaf for Operations Management (The Mcgraw-hill Series in Operations and Decision Sciences)
Loose Leaf for Operations Management (The Mcgraw-hill Series in Operations and Decision Sciences)
13th Edition
ISBN: 9781260152203
Author: William J Stevenson
Publisher: McGraw-Hill Education
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Chapter 7, Problem 2CTE
Summary Introduction

To determine: The techniques which can be used to improve operations and specifically denote the technique which can used be for a particular operation and explain its reason.

Introduction: The amount of dependency on human effort by an organization in terms of achieving its goals is given by the work design. It is directly linked to the productivity of an organization where good work design helps in achieving high productivity.

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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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Loose Leaf for Operations Management (The Mcgraw-hill Series in Operations and Decision Sciences)

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