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Advances in maritime logistics and supply chain systems [[electronic resource] /] / editors, Ek Peng Chew, Loo Hay Lee, Loon Ching Tang
| Advances in maritime logistics and supply chain systems [[electronic resource] /] / editors, Ek Peng Chew, Loo Hay Lee, Loon Ching Tang |
| Pubbl/distr/stampa | Singapore, : World Scientific, c2011 |
| Descrizione fisica | 1 online resource (332 p.) |
| Disciplina |
387.0687
387.544 |
| Altri autori (Persone) |
ChewEk Peng
LeeLoo Hay TangLoon Ching |
| Soggetto topico |
Shipping
Business logistics Harbors - Asia |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-43356-7
9786613433565 981-4329-86-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | pt. 1. Regional developments and performance analysis -- pt. 2. Ports and liners operations. |
| Record Nr. | UNINA-9910457421203321 |
| Singapore, : World Scientific, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in maritime logistics and supply chain systems [[electronic resource] /] / editors, Ek Peng Chew, Loo Hay Lee, Loon Ching Tang
| Advances in maritime logistics and supply chain systems [[electronic resource] /] / editors, Ek Peng Chew, Loo Hay Lee, Loon Ching Tang |
| Pubbl/distr/stampa | Singapore, : World Scientific, c2011 |
| Descrizione fisica | 1 online resource (332 p.) |
| Disciplina |
387.0687
387.544 |
| Altri autori (Persone) |
ChewEk Peng
LeeLoo Hay TangLoon Ching |
| Soggetto topico |
Shipping
Business logistics Harbors - Asia |
| ISBN |
1-283-43356-7
9786613433565 981-4329-86-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | pt. 1. Regional developments and performance analysis -- pt. 2. Ports and liners operations. |
| Record Nr. | UNINA-9910778814703321 |
| Singapore, : World Scientific, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in maritime logistics and supply chain systems [[electronic resource] /] / editors, Ek Peng Chew, Loo Hay Lee, Loon Ching Tang
| Advances in maritime logistics and supply chain systems [[electronic resource] /] / editors, Ek Peng Chew, Loo Hay Lee, Loon Ching Tang |
| Pubbl/distr/stampa | Singapore, : World Scientific, c2011 |
| Descrizione fisica | 1 online resource (332 p.) |
| Disciplina |
387.0687
387.544 |
| Altri autori (Persone) |
ChewEk Peng
LeeLoo Hay TangLoon Ching |
| Soggetto topico |
Shipping
Business logistics Harbors - Asia |
| ISBN |
1-283-43356-7
9786613433565 981-4329-86-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | pt. 1. Regional developments and performance analysis -- pt. 2. Ports and liners operations. |
| Record Nr. | UNINA-9910809191803321 |
| Singapore, : World Scientific, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Stochastic simulation optimization [[electronic resource] ] : an optimal computing budget allocation / / Chun-Hung Chen, Loo Hay Lee
| Stochastic simulation optimization [[electronic resource] ] : an optimal computing budget allocation / / Chun-Hung Chen, Loo Hay Lee |
| Autore | Chen Chun-hung |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, N.J., : World Scientific, c2011 |
| Descrizione fisica | 1 online resource (248 p.) |
| Disciplina | 519.2 |
| Altri autori (Persone) | LeeLoo Hay |
| Collana | System engineering and operations research |
| Soggetto topico |
Systems engineering - Simulation methods
Stochastic processes Mathematical optimization |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-62870-230-3
1-283-14386-0 9786613143860 981-4282-65-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Foreword; Preface; Acknowledgments; Contents; 1. Introduction to Stochastic Simulation Optimization; 2. Computing Budget Allocation; 3. Selecting the Best from a Set of Alternative Designs; 4. Numerical Implementation and Experiments; 5. Selecting An Optimal Subset; 6. Multi-objective Optimal Computing Budget Allocation; 7. Large-Scale Simulation and Optimization; 8. Generalized OCBA Framework and Other Related Methods; Appendix A: Fundamentals of Simulation; Appendix B: Basic Probability and Statistics; Appendix C: Some Proofs in Chapter 6; Appendix D: Some OCBA Source Codes; References
Index |
| Record Nr. | UNINA-9910456224003321 |
Chen Chun-hung
|
||
| Singapore ; ; Hackensack, N.J., : World Scientific, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Stochastic simulation optimization [[electronic resource] ] : an optimal computing budget allocation / / Chun-Hung Chen, Loo Hay Lee
| Stochastic simulation optimization [[electronic resource] ] : an optimal computing budget allocation / / Chun-Hung Chen, Loo Hay Lee |
| Autore | Chen Chun-hung |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, N.J., : World Scientific, c2011 |
| Descrizione fisica | 1 online resource (248 p.) |
| Disciplina | 519.2 |
| Altri autori (Persone) | LeeLoo Hay |
| Collana | System engineering and operations research |
| Soggetto topico |
Systems engineering - Simulation methods
Stochastic processes Mathematical optimization |
| ISBN |
1-62870-230-3
1-283-14386-0 9786613143860 981-4282-65-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Foreword; Preface; Acknowledgments; Contents; 1. Introduction to Stochastic Simulation Optimization; 2. Computing Budget Allocation; 3. Selecting the Best from a Set of Alternative Designs; 4. Numerical Implementation and Experiments; 5. Selecting An Optimal Subset; 6. Multi-objective Optimal Computing Budget Allocation; 7. Large-Scale Simulation and Optimization; 8. Generalized OCBA Framework and Other Related Methods; Appendix A: Fundamentals of Simulation; Appendix B: Basic Probability and Statistics; Appendix C: Some Proofs in Chapter 6; Appendix D: Some OCBA Source Codes; References
Index |
| Record Nr. | UNINA-9910780885003321 |
|
Chen Chun-hung
|
||
| Singapore ; ; Hackensack, N.J., : World Scientific, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Stochastic simulation optimization [[electronic resource] ] : an optimal computing budget allocation / / Chun-Hung Chen, Loo Hay Lee
| Stochastic simulation optimization [[electronic resource] ] : an optimal computing budget allocation / / Chun-Hung Chen, Loo Hay Lee |
| Autore | Chen Chun-hung |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, N.J., : World Scientific, c2011 |
| Descrizione fisica | 1 online resource (248 p.) |
| Disciplina | 519.2 |
| Altri autori (Persone) | LeeLoo Hay |
| Collana | System engineering and operations research |
| Soggetto topico |
Systems engineering - Simulation methods
Stochastic processes Mathematical optimization |
| ISBN |
1-62870-230-3
1-283-14386-0 9786613143860 981-4282-65-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Foreword; Preface; Acknowledgments; Contents; 1. Introduction to Stochastic Simulation Optimization; 2. Computing Budget Allocation; 3. Selecting the Best from a Set of Alternative Designs; 4. Numerical Implementation and Experiments; 5. Selecting An Optimal Subset; 6. Multi-objective Optimal Computing Budget Allocation; 7. Large-Scale Simulation and Optimization; 8. Generalized OCBA Framework and Other Related Methods; Appendix A: Fundamentals of Simulation; Appendix B: Basic Probability and Statistics; Appendix C: Some Proofs in Chapter 6; Appendix D: Some OCBA Source Codes; References
Index |
| Record Nr. | UNINA-9910809110603321 |
|
Chen Chun-hung
|
||
| Singapore ; ; Hackensack, N.J., : World Scientific, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Stochastic simulation optimization for discrete event systems [[electronic resource] ] : perturbation analysis, ordinal optimization, and beyond / / editors, Chun-Hung Chen, Qing-Shan Jia, Loo Hay Lee
| Stochastic simulation optimization for discrete event systems [[electronic resource] ] : perturbation analysis, ordinal optimization, and beyond / / editors, Chun-Hung Chen, Qing-Shan Jia, Loo Hay Lee |
| Pubbl/distr/stampa | Hackensack, NJ, : World Scientific, c2013 |
| Descrizione fisica | 1 online resource (274 p.) |
| Disciplina | 003/.83 |
| Altri autori (Persone) |
ChenChun-Hung <1964->
JiaQing-Shan <1980-> LeeLoo Hay |
| Soggetto topico |
Discrete-time systems - Mathematical models
Perturbation (Mathematics) Systems engineering - Computer simulation |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-4513-01-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Foreword: A Tribute to a Great Leader in Perturbation Analysis and Ordinal Optimization; Foreword: The Being and Becoming of Perturbation Analysis; Foreword: Remembrance of Things Past; Contents; Part I: Perturbation Analysis; Chapter 1. The IPA Calculus for Hybrid Systems; 1.1. Introduction; 1.2. Perturbation Analysis of Hybrid Systems; 1.2.1. Infinitesimal Perturbation Analysis (IPA): The IPA calculus; 1.3. IPA Properties; 1.4. General Scheme for Abstracting DES to SFM; 1.5. Conclusions and FutureWork; References
Chapter 2. Smoothed Perturbation Analysis: A Retrospective and Prospective Look2.1. Introduction; 2.2. Brief History of SPA; 2.3. Another Example; 2.4. Overview of a General SPA Framework; 2.5. Applications; 2.5.1. Queueing; 2.5.2. Inventory; 2.5.3. Finance; 2.5.4. Stochastic Activity Networks (SANs); 2.5.5. Others; 2.6. Random Retrospective and Prospective Concluding Remarks; Acknowledgements; References; Chapter 3. Perturbation Analysis and Variance Reduction in Monte Carlo Simulation; 3.1. Introduction; 3.2. Systematic and Generic Control Variate Selection 3.2.1. Control variate technique: a brief review3.2.2. Parametrized estimation problems; 3.2.3. Deterministic function approximation and generic CV selection; 3.3. Control Variates for Sensitivity Estimation; 3.3.1. A parameterized estimation formulation of sensitivity estimation; 3.3.2. Finite difference based controls; 3.3.3. Illustrating example; 3.4. Database Monte Carlo (DBMC) Implementation; 3.5. Conclusions; Acknowledgements; References; Chapter 4. Adjoints and Averaging; 4.1. Introduction; 4.2. Adjoints: Classical Setting; 4.3. Adjoints: Waiting Times; 4.4. Adjoints: Vector Recursions 4.5. Averaging4.6. Concluding Remarks; References; Chapter 5. Infinitesimal Perturbation Analysis and Optimization Algorithms; 5.1. Preliminary Remarks; 5.2. Motivation; 5.3. Single-server Queues; 5.3.1. Controlled single-server queue; 5.3.2. Infinitesimal perturbation analysis; 5.3.3. Optimization algorithm; 5.4. Convergence; 5.4.1. Stochastic approximation convergence theorem; 5.4.2. Updating after every busy period; 5.4.3. Updating after every service time; 5.4.4. Example; 5.5. Final Remarks; References; Chapter 6. Simulation-based Optimization of Failure-prone Continuous Flow Lines 6.1. Introduction6.2. Two-machine Continuous Flow Lines; 6.3. Gradient Estimation of a Two-machine Line; 6.4. Modeling Assembly/Disassembly Networks Subject to TDF Failures with Stochastic Fluid Event Graphs; 6.5. Evolution Equations and Sample Path Gradients; 6.6. Optimization of Stochastic Fluid Event Graphs; 6.7. Conclusion; References; Chapter 7. Perturbation Analysis, Dynamic Programming, and Beyond; 7.1. Introduction; 7.2. Perturbation Analysis of Queueing Systems Based on Perturbation Realization Factors; 7.2.1. Performance gradient; 7.2.2. Policy iteration 7.3. Performance Optimization of Markov Systems Based on Performance Potentials |
| Record Nr. | UNINA-9910452310203321 |
| Hackensack, NJ, : World Scientific, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Stochastic simulation optimization for discrete event systems : perturbation analysis, ordinal optimization and beyond / / editors, Chun-Hung Chen, George Mason University, USA, Qing-Shan Jia, Tsinghua University, China, Loo Hay Lee, National University of Singapore, Singapore
| Stochastic simulation optimization for discrete event systems : perturbation analysis, ordinal optimization and beyond / / editors, Chun-Hung Chen, George Mason University, USA, Qing-Shan Jia, Tsinghua University, China, Loo Hay Lee, National University of Singapore, Singapore |
| Pubbl/distr/stampa | Hackensack, NJ, : World Scientific, c2013 |
| Descrizione fisica | 1 online resource (xxviii, 245 pages) : illustrations |
| Disciplina | 003/.83 |
| Collana | Gale eBooks |
| Soggetto topico |
Discrete-time systems - Mathematical models
Perturbation (Mathematics) Systems engineering - Computer simulaton |
| ISBN | 981-4513-01-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Foreword: A Tribute to a Great Leader in Perturbation Analysis and Ordinal Optimization; Foreword: The Being and Becoming of Perturbation Analysis; Foreword: Remembrance of Things Past; Contents; Part I: Perturbation Analysis; Chapter 1. The IPA Calculus for Hybrid Systems; 1.1. Introduction; 1.2. Perturbation Analysis of Hybrid Systems; 1.2.1. Infinitesimal Perturbation Analysis (IPA): The IPA calculus; 1.3. IPA Properties; 1.4. General Scheme for Abstracting DES to SFM; 1.5. Conclusions and FutureWork; References
Chapter 2. Smoothed Perturbation Analysis: A Retrospective and Prospective Look2.1. Introduction; 2.2. Brief History of SPA; 2.3. Another Example; 2.4. Overview of a General SPA Framework; 2.5. Applications; 2.5.1. Queueing; 2.5.2. Inventory; 2.5.3. Finance; 2.5.4. Stochastic Activity Networks (SANs); 2.5.5. Others; 2.6. Random Retrospective and Prospective Concluding Remarks; Acknowledgements; References; Chapter 3. Perturbation Analysis and Variance Reduction in Monte Carlo Simulation; 3.1. Introduction; 3.2. Systematic and Generic Control Variate Selection 3.2.1. Control variate technique: a brief review3.2.2. Parametrized estimation problems; 3.2.3. Deterministic function approximation and generic CV selection; 3.3. Control Variates for Sensitivity Estimation; 3.3.1. A parameterized estimation formulation of sensitivity estimation; 3.3.2. Finite difference based controls; 3.3.3. Illustrating example; 3.4. Database Monte Carlo (DBMC) Implementation; 3.5. Conclusions; Acknowledgements; References; Chapter 4. Adjoints and Averaging; 4.1. Introduction; 4.2. Adjoints: Classical Setting; 4.3. Adjoints: Waiting Times; 4.4. Adjoints: Vector Recursions 4.5. Averaging4.6. Concluding Remarks; References; Chapter 5. Infinitesimal Perturbation Analysis and Optimization Algorithms; 5.1. Preliminary Remarks; 5.2. Motivation; 5.3. Single-server Queues; 5.3.1. Controlled single-server queue; 5.3.2. Infinitesimal perturbation analysis; 5.3.3. Optimization algorithm; 5.4. Convergence; 5.4.1. Stochastic approximation convergence theorem; 5.4.2. Updating after every busy period; 5.4.3. Updating after every service time; 5.4.4. Example; 5.5. Final Remarks; References; Chapter 6. Simulation-based Optimization of Failure-prone Continuous Flow Lines 6.1. Introduction6.2. Two-machine Continuous Flow Lines; 6.3. Gradient Estimation of a Two-machine Line; 6.4. Modeling Assembly/Disassembly Networks Subject to TDF Failures with Stochastic Fluid Event Graphs; 6.5. Evolution Equations and Sample Path Gradients; 6.6. Optimization of Stochastic Fluid Event Graphs; 6.7. Conclusion; References; Chapter 7. Perturbation Analysis, Dynamic Programming, and Beyond; 7.1. Introduction; 7.2. Perturbation Analysis of Queueing Systems Based on Perturbation Realization Factors; 7.2.1. Performance gradient; 7.2.2. Policy iteration 7.3. Performance Optimization of Markov Systems Based on Performance Potentials |
| Record Nr. | UNINA-9910779883803321 |
| Hackensack, NJ, : World Scientific, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Stochastic simulation optimization for discrete event systems : perturbation analysis, ordinal optimization and beyond / / editors, Chun-Hung Chen, George Mason University, USA, Qing-Shan Jia, Tsinghua University, China, Loo Hay Lee, National University of Singapore, Singapore
| Stochastic simulation optimization for discrete event systems : perturbation analysis, ordinal optimization and beyond / / editors, Chun-Hung Chen, George Mason University, USA, Qing-Shan Jia, Tsinghua University, China, Loo Hay Lee, National University of Singapore, Singapore |
| Pubbl/distr/stampa | Hackensack, NJ, : World Scientific, c2013 |
| Descrizione fisica | 1 online resource (xxviii, 245 pages) : illustrations |
| Disciplina | 003/.83 |
| Collana | Gale eBooks |
| Soggetto topico |
Discrete-time systems - Mathematical models
Perturbation (Mathematics) Systems engineering - Computer simulaton |
| ISBN | 981-4513-01-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Foreword: A Tribute to a Great Leader in Perturbation Analysis and Ordinal Optimization; Foreword: The Being and Becoming of Perturbation Analysis; Foreword: Remembrance of Things Past; Contents; Part I: Perturbation Analysis; Chapter 1. The IPA Calculus for Hybrid Systems; 1.1. Introduction; 1.2. Perturbation Analysis of Hybrid Systems; 1.2.1. Infinitesimal Perturbation Analysis (IPA): The IPA calculus; 1.3. IPA Properties; 1.4. General Scheme for Abstracting DES to SFM; 1.5. Conclusions and FutureWork; References
Chapter 2. Smoothed Perturbation Analysis: A Retrospective and Prospective Look2.1. Introduction; 2.2. Brief History of SPA; 2.3. Another Example; 2.4. Overview of a General SPA Framework; 2.5. Applications; 2.5.1. Queueing; 2.5.2. Inventory; 2.5.3. Finance; 2.5.4. Stochastic Activity Networks (SANs); 2.5.5. Others; 2.6. Random Retrospective and Prospective Concluding Remarks; Acknowledgements; References; Chapter 3. Perturbation Analysis and Variance Reduction in Monte Carlo Simulation; 3.1. Introduction; 3.2. Systematic and Generic Control Variate Selection 3.2.1. Control variate technique: a brief review3.2.2. Parametrized estimation problems; 3.2.3. Deterministic function approximation and generic CV selection; 3.3. Control Variates for Sensitivity Estimation; 3.3.1. A parameterized estimation formulation of sensitivity estimation; 3.3.2. Finite difference based controls; 3.3.3. Illustrating example; 3.4. Database Monte Carlo (DBMC) Implementation; 3.5. Conclusions; Acknowledgements; References; Chapter 4. Adjoints and Averaging; 4.1. Introduction; 4.2. Adjoints: Classical Setting; 4.3. Adjoints: Waiting Times; 4.4. Adjoints: Vector Recursions 4.5. Averaging4.6. Concluding Remarks; References; Chapter 5. Infinitesimal Perturbation Analysis and Optimization Algorithms; 5.1. Preliminary Remarks; 5.2. Motivation; 5.3. Single-server Queues; 5.3.1. Controlled single-server queue; 5.3.2. Infinitesimal perturbation analysis; 5.3.3. Optimization algorithm; 5.4. Convergence; 5.4.1. Stochastic approximation convergence theorem; 5.4.2. Updating after every busy period; 5.4.3. Updating after every service time; 5.4.4. Example; 5.5. Final Remarks; References; Chapter 6. Simulation-based Optimization of Failure-prone Continuous Flow Lines 6.1. Introduction6.2. Two-machine Continuous Flow Lines; 6.3. Gradient Estimation of a Two-machine Line; 6.4. Modeling Assembly/Disassembly Networks Subject to TDF Failures with Stochastic Fluid Event Graphs; 6.5. Evolution Equations and Sample Path Gradients; 6.6. Optimization of Stochastic Fluid Event Graphs; 6.7. Conclusion; References; Chapter 7. Perturbation Analysis, Dynamic Programming, and Beyond; 7.1. Introduction; 7.2. Perturbation Analysis of Queueing Systems Based on Perturbation Realization Factors; 7.2.1. Performance gradient; 7.2.2. Policy iteration 7.3. Performance Optimization of Markov Systems Based on Performance Potentials |
| Record Nr. | UNINA-9910823201703321 |
| Hackensack, NJ, : World Scientific, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||