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Just-in-Time Systems

Overview of attention for book
Cover of 'Just-in-Time Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Scheduling to Maximize the Number of Just-in-Time Jobs: A Survey
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    Chapter 2 An Exact Algorithm for the Single-Machine Earliness–Tardiness Scheduling Problem
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    Chapter 3 Single-Machine Scheduling Problems Simultaneous with Deteriorating and Learning Effects Under a Deteriorating Maintenance Consideration
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    Chapter 4 Scheduling Unrelated Parallel Machines with Sequence Dependent Setup Times and Weighted Earliness–Tardiness Minimization
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    Chapter 5 Mixed-Integer Programming Models for Flowshop Scheduling Problems Minimizing the Total Earliness and Tardiness
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    Chapter 6 Just-in-Time Scheduling with Equal-Size Jobs
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    Chapter 7 No-Wait Scheduling Problems with Batching Machines
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    Chapter 8 Just-in-Time Scheduling in Modern Mass Production Environment
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    Chapter 9 Just-in-Time Planning and Lot-Sizing
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    Chapter 10 Strategic Scheduling Games: Equilibria and Efficiency
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    Chapter 11 Artificial Neural Networks-Based Forecasting: An Attractive Option for Just-in-Time Systems
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    Chapter 12 Just-in-Time Management of a Building Project in the Middle-East
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    Chapter 13 Analysis of Transient Throughput Rates of Transfer Lines with Pull Systems
Attention for Chapter 6: Just-in-Time Scheduling with Equal-Size Jobs
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Citations

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Chapter title
Just-in-Time Scheduling with Equal-Size Jobs
Chapter number 6
Book title
Just-in-Time Systems
Published by
Springer, New York, NY, January 2012
DOI 10.1007/978-1-4614-1123-9_6
Book ISBNs
978-1-4614-1122-2, 978-1-4614-1123-9
Authors

Ameur Soukhal, Nguyen Huynh Toung

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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 %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Unknown 1 100%

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