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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 4: Scheduling Unrelated Parallel Machines with Sequence Dependent Setup Times and Weighted Earliness–Tardiness Minimization
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Readers on

mendeley
14 Mendeley
Summary
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Chapter title
Scheduling Unrelated Parallel Machines with Sequence Dependent Setup Times and Weighted Earliness–Tardiness Minimization
Chapter number 4
Book title
Just-in-Time Systems
Published by
Springer, New York, NY, January 2012
DOI 10.1007/978-1-4614-1123-9_4
Book ISBNs
978-1-4614-1122-2, 978-1-4614-1123-9
Authors

Eva Vallada, Rubén Ruiz

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 36%
Unspecified 1 7%
Student > Doctoral Student 1 7%
Student > Ph. D. Student 1 7%
Unknown 6 43%
Readers by discipline Count As %
Engineering 4 29%
Mathematics 1 7%
Unspecified 1 7%
Decision Sciences 1 7%
Computer Science 1 7%
Other 0 0%
Unknown 6 43%

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