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Computational Management Science

Overview of attention for book
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 11: Integer Programming Based Approaches for Multi-Trip Location Routing
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Chapter title
Integer Programming Based Approaches for Multi-Trip Location Routing
Chapter number 11
Book title
Computational Management Science
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-20430-7_11
Book ISBNs
978-3-31-920429-1, 978-3-31-920430-7
Authors

Macedo, Rita Alexandra Santos Gonçalves, Ramos, Bruna Silva, Alves, Cláudio, Valério de Carvalho, José Manuel, Hanafi, Saïd, Mladenović, Nenad, Rita Macedo, Bruna Ramos, Cláudio Alves, José Valério de Carvalho, Saïd Hanafi, Nenad Mladenović

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Professor 4 44%
Researcher 2 22%
Student > Master 1 11%
Student > Ph. D. Student 1 11%
Professor > Associate Professor 1 11%
Other 0 0%
Readers by discipline Count As %
Engineering 5 56%
Computer Science 1 11%
Mathematics 1 11%
Unknown 2 22%