Muutke küpsiste eelistusi

Computational Management Science: State of the Art 2014 1st ed. 2016 [Pehme köide]

Edited by , Edited by , Edited by
  • Formaat: Paperback / softback, 245 pages, kõrgus x laius: 235x155 mm, kaal: 4102 g, 17 Illustrations, color; 22 Illustrations, black and white; XXI, 245 p. 39 illus., 17 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Economics and Mathematical Systems 682
  • Ilmumisaeg: 23-Dec-2015
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319204297
  • ISBN-13: 9783319204291
  • Pehme köide
  • Hind: 95,02 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 111,79 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Paperback / softback, 245 pages, kõrgus x laius: 235x155 mm, kaal: 4102 g, 17 Illustrations, color; 22 Illustrations, black and white; XXI, 245 p. 39 illus., 17 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Economics and Mathematical Systems 682
  • Ilmumisaeg: 23-Dec-2015
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319204297
  • ISBN-13: 9783319204291
This volume contains contributions from the 11th International Conference on Management Science (CMS 2014), held at Lisbon, Portugal, on May 29-31, 2014. Its contents reflect the wide scope of Management Science, covering different theoretical aspects for a quite diverse set of applications. Computational Management Science provides a unique perspective in relevant decision-making processes by focusing on all its computational aspects. These include computational economics, finance and statistics; energy; scheduling; supply chains; design, analysis and applications of optimization algorithms; deterministic, dynamic, stochastic, robust and combinatorial optimization models; solution algorithms, learning and forecasting such as neural networks and genetic algorithms; models and tools of knowledge acquisition, such as data mining; and all other topics in management science with the emphasis on computational paradigms.
Part I Energy
Evaluating Price Risk Mitigation Strategies for an Oil and Gas Company
3(6)
Antonio Quintino
Joao Carlos Lourenco
Margarida Catalao-Lopes
Load Shifting, Interrupting or Both? Customer Portfolio Composition in Demand Side Management
9(8)
Johannes Garttner
Christoph M. Flath
Christof Weinhardt
Stress-Testing for Portfolios of Commodity Futures with Extreme Value Theory and Copula Functions
17(6)
Pierre-Antoine Mudry
Florentina Paraschiv
Integrating Consumption and Reserve Strategies for Large Consumers in Electricity Markets
23(8)
Nigel Cleland
Golbon Zakeri
Geoff Pritchard
Brent Young
Controlled Approximation of the Stochastic Dynamic Programming Value Function for Multi-Reservoir Systems
31(8)
Luckny Zephyr
Pascal Lang
Bernard F. Lamond
Pascal Cote
A Computational Method for Predicting the Entropy of Energy Market Time Series
39(8)
Francesco Benedetto
Gaetano Giunta
Loretta Mastroeni
Part II Logistics
Demand Uncertainty for the Location-Routing Problem with Two-dimensional Loading Constraints
47(8)
Thiago Alves de Queiroz
Jose Fernando Oliveira
Maria Antonia Carravilla
Flavio Keidi Miyazawa
Location Game and Applications in Transportation Networks
55(8)
Vladimir Mazalov
Anna Shchiptsova
Yulia Tokareva
A GRASP Algorithm for the Vehicle-Reservation Assignment Problem
63(10)
Beatriz Brito Oliveira
Maria Antonia Carravilla
Jose Fernando Oliveira
A Heuristic for the Time-Dependent Vehicle Routing Problem with Time Windows
73(6)
Vincent Huart
Sylvain Perron
Gilles Caporossi
Christophe Duhamel
Integer Programming Based Approaches for Multi-Trip Location Routing
79(12)
Rita Macedo
Bruna Ramos
Claudio Alves
Jose Valerio de Carvalho
Said Hanafi
Nenad Mladenovic
An Agent-Based Approach to Schedule Crane Operations in Rail-Rail Transshipment Terminals
91(8)
Sam Heshmati
Zafeiris Kokkinogenis
Rosaldo J.F. Rossetti
Maria Antonia Carravilla
Jose Fernando Oliveira
Vertical and Horizontal Collaboration in Inventory and Transportation
99(8)
Benedikt De Vos
Birger Raa
Part III Production
Experimental Study and Statistical Analysis of Human Factors' Impact in Cell Production System
107(8)
Yanwen Dong
Xiying Hao
Planning Production and Workforce in a Discrete-Time Financial Model: Optimizing Cash-Flows Released
115(8)
Pedro Martins
Evaluating Supply Chain Resilience Under Different Types of Disruption
123(8)
Sonia R. Cardoso
Ana Paula Barbosa-Povoa
Susana Relvas
Augusto Q. Novais
Exact Solution of Combined Cutting Stock and Scheduling Problems
131(10)
Nuno Braga
Claudio Alves
Jose Valerio de Carvalho
Fair Transfer Prices of Global Supply Chains in the Process Industry
141(10)
Songsong Liu
Roberto Fucarino
Lazaros G. Papageorgiou
The Influence of Corporate Social Responsibility on Economic Performance Within Supply Chain Planning
151(6)
Bruna Mota
Maria Isabel Gomes
Ana Carvalho
Ana Paula Barbosa-Povoa
A MIP Model for Production Planning in the Roasting Coffee Industry
157(8)
Diana Yomali Ospina
Maria Antonia Carravilla
Jose Fernando Oliveira
Optimization of Production Scheduling in the Mould Making Industry
165(10)
Barbara Esperanca Virgilio
Marta Castilho Gomes
Ana Paula Barbosa-Povoa
Constraint Aggregation in Non-linear Programming Models for Nesting Problems
175(8)
Pedro Rocha
A. Miguel Gomes
Rui Rodrigues
Franklina M.B. Toledo
Marina Andretta
Part IV Optimization Methods
A Hybrid Genetic Algorithm for the One-Dimensional Minimax Bin-Packing Problem with Assignment Constraints
183(6)
Mariona Vila
Jordi Pereira
The Partial Choice Recoverable Knapsack Problem
189(6)
Clement Lesaege
Michael Poss
Stopping Times for Fractional Brownian Motion
195(6)
Alexander V. Kulikov
Pavel P. Gusyatnikov
An Empirical Design of a Column Generation Algorithm Applied to a Management Zone Delineation Problem
201(8)
Victor M. Albornoz
Linco J. Nanco
Modeling Multi-Stage Decision Optimization Problems
209(6)
Ronald Hochreiter
A New and Innovative Approach to Assess and Quantify the Value for the Customer
215(10)
Susana Nicola
Eduarda Pinto Ferreira
J.J. Pinto Ferreira
Bus Driver Rostering by Column Generation Metaheuristics
225(8)
Vitor Barbosa
Filipe Alvelos
Ana Respicio
A Matheuristic Based on Column Generation for Parallel Machine Scheduling with Sequence Dependent Setup Times
233(6)
Filipe Alvelos
Manuel Lopes
Henrique Lopes
Population Games with Vector Payoff and Approachability
239
Dario Bauso
Thomas W.L. Norman
Raquel J. Fonseca is a professor at the Faculty of Sciences, University of Lisbon and a member of the Operations Research Centre. She completed her PhD in robust optimization of international portfolios at Imperial College in 2011. Prior to her Phd, she worked in financial consulting at PricewaterhouseCoopers in Lisbon. Her main research interests are robust optimization and operations research applied to finance and economics.

João Telhada is a professor at the Faculty of Sciences, University of Lisbon and member of the Operations Research Center. He completed his PhD in Statistics and Operations Research at the University of Lisbon in 2004. He took part in several projects with some industry partners, mainly in the transportations and mobility area. His main scientific activity has been on integer programming reformulations, mainly for network optimization problems.

Gerhard-Wilhelm Weber is a professor at Institute of Applied Mathematics, METU, Ankara, Turkey. His research in on optimization and control OR finance, life and human sciences, data mining and inverse problems. He received Diploma and Doctorate in Mathematics and Economics/BA at RWTH Aachen and his Habilitation at TU Darmstadt. He held Professorships by proxy at University of Cologne and TU Chemitz (Germany); he has international affiliations and honorary positions and is Advisor to EURO Conferences.