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Computational Management Science

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Cover of 'Computational Management Science'

Table of Contents

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    Book Overview
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    Chapter 1 Evaluating Price Risk Mitigation Strategies for an Oil and Gas Company
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    Chapter 2 Load Shifting, Interrupting or Both? Customer Portfolio Composition in Demand Side Management
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    Chapter 3 Stress-Testing for Portfolios of Commodity Futures with Extreme Value Theory and Copula Functions
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    Chapter 4 Computational Management Science
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    Chapter 5 Controlled Approximation of the Stochastic Dynamic Programming Value Function for Multi-Reservoir Systems
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    Chapter 6 A Computational Method for Predicting the Entropy of Energy Market Time Series
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    Chapter 7 Demand Uncertainty for the Location-Routing Problem with Two-dimensional Loading Constraints
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    Chapter 8 Location Game and Applications in Transportation Networks
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    Chapter 9 A GRASP Algorithm for the Vehicle-Reservation Assignment Problem
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    Chapter 10 A Heuristic for the Time-Dependent Vehicle Routing Problem with Time Windows
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    Chapter 11 Integer Programming Based Approaches for Multi-Trip Location Routing
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    Chapter 12 An Agent-Based Approach to Schedule Crane Operations in Rail-Rail Transshipment Terminals
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    Chapter 13 Vertical and Horizontal Collaboration in Inventory and Transportation
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    Chapter 14 Experimental Study and Statistical Analysis of Human Factors’ Impact in Cell Production System
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    Chapter 15 Planning Production and Workforce in a Discrete-Time Financial Model: Optimizing Cash-Flows Released
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    Chapter 16 Evaluating Supply Chain Resilience Under Different Types of Disruption
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    Chapter 17 Exact Solution of Combined Cutting Stock and Scheduling Problems
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    Chapter 18 Fair Transfer Prices of Global Supply Chains in the Process Industry
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    Chapter 19 The Influence of Corporate Social Responsibility on Economic Performance Within Supply Chain Planning
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    Chapter 20 A MIP Model for Production Planning in the Roasting Coffee Industry
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    Chapter 21 Optimization of Production Scheduling in the Mould Making Industry
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    Chapter 22 Constraint Aggregation in Non-linear Programming Models for Nesting Problems
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    Chapter 23 A hybrid genetic algorithm for the one-dimensional minimax bin-packing problem with assignment constraints
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    Chapter 24 The Partial Choice Recoverable Knapsack Problem
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    Chapter 25 Stopping Times for Fractional Brownian Motion
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    Chapter 26 An Empirical Design of a Column Generation Algorithm Applied to a Management Zone Delineation Problem
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    Chapter 27 Modeling Multi-Stage Decision Optimization Problems
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    Chapter 28 A New and Innovative Approach to Assess and Quantify the Value for the Customer
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    Chapter 29 Bus Driver Rostering by Column Generation Metaheuristics
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    Chapter 30 A Matheuristic Based on Column Generation for Parallel Machine Scheduling with Sequence Dependent Setup Times
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    Chapter 31 Computational Management Science
Attention for Chapter 21: Optimization of Production Scheduling in the Mould Making Industry
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Chapter title
Optimization of Production Scheduling in the Mould Making Industry
Chapter number 21
Book title
Computational Management Science
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-20430-7_21
Book ISBNs
978-3-31-920429-1, 978-3-31-920430-7
Authors

Bárbara Esperança Virgílio, Marta Castilho Gomes, Ana Paula Barbosa-Póvoa

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 20%
Student > Master 1 20%
Unknown 3 60%
Readers by discipline Count As %
Unknown 5 100%