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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 11: Optimal and Heuristic Solutions for the Spare Parts Inventory Control Problem
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Citations

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Chapter title
Optimal and Heuristic Solutions for the Spare Parts Inventory Control Problem
Chapter number 11
Book title
Service Parts Management
Published by
Springer, London, January 2011
DOI 10.1007/978-0-85729-039-7_11
Book ISBNs
978-0-85729-038-0, 978-0-85729-039-7
Authors

Ibrahim S. Kurtulus, Kurtulus, Ibrahim S.

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 75%
Unknown 1 25%
Readers by discipline Count As %
Business, Management and Accounting 2 50%
Engineering 1 25%
Unknown 1 25%

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