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Service Parts Management

Overview of attention for book
Cover of 'Service Parts Management'

Table of Contents

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    Book Overview
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    Chapter 1 Intermittent Demand: Estimation and Statistical Properties
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    Chapter 2 Distributional Assumptions for Parametric Forecasting of Intermittent Demand
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    Chapter 3 Decision Trees for Forecasting Trended Demand
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    Chapter 4 The Impact of Aggregation Level on Lumpy Demand Management
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    Chapter 5 Bayesian Forecasting of Spare Parts Using Simulation
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    Chapter 6 A Review of Bootstrapping for Spare Parts Forecasting
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    Chapter 7 Service Parts Management
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    Chapter 8 Forecasting and Inventory Management for Spare Parts: An Installed Base Approach
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    Chapter 9 A Decision Making Framework for Managing Maintenance Spare Parts in Case of Lumpy Demand: Action Research in the Avionic Sector
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    Chapter 10 Configuring Single-Echelon Systems Using Demand Categorization
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    Chapter 11 Optimal and Heuristic Solutions for the Spare Parts Inventory Control Problem
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    Chapter 12 Reliable Stopping Rules for Stocking Spare Parts with Observed Demand of No More Than One Unit
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    Chapter 13 Reactive Tabu Search for Large Scale Service Parts Logistics Network Design and Inventory Problems
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    Chapter 14 Common Mistakes and Guidelines for Change in Service Parts Management
Attention for Chapter 12: Reliable Stopping Rules for Stocking Spare Parts with Observed Demand of No More Than One Unit
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Chapter title
Reliable Stopping Rules for Stocking Spare Parts with Observed Demand of No More Than One Unit
Chapter number 12
Book title
Service Parts Management
Published by
Springer, London, January 2011
DOI 10.1007/978-0-85729-039-7_12
Book ISBNs
978-0-85729-038-0, 978-0-85729-039-7
Authors

Matthew Lindsey, Robert Pavur, Lindsey, Matthew, Pavur, Robert

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Student > Master 1 100%
Readers by discipline Count As %
Business, Management and Accounting 1 100%
Psychology 1 100%

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