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1. |
Record Nr. |
UNIORUON00043730 |
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Autore |
PALACIOS, Dom. L. |
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Titolo |
Grammatica aramaico-biblica ad usum scholarum exercitiis, textibus et vocabulario ornata / auctore Dom. L. Palacios |
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Pubbl/distr/stampa |
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Romae, : Desclee et socii, 1953 |
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Descrizione fisica |
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Classificazione |
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Soggetti |
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LINGUA ARAMAICA - GRAMMATICHE - ARAMAICO BIBLICO |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910298517303321 |
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Autore |
Melchiors Philipp |
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Titolo |
Dynamic and Stochastic Multi-Project Planning / / by Philipp Melchiors |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (216 p.) |
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Collana |
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Lecture Notes in Economics and Mathematical Systems, , 0075-8442 ; ; 673 |
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Disciplina |
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330 |
519.6 |
658.40301 |
658.5 |
658404 |
658514 |
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Soggetti |
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Project management |
Operations research |
Decision making |
Management science |
Management |
Industrial management |
Production management |
Mathematical optimization |
Project Management |
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Operations Research/Decision Theory |
Operations Research, Management Science |
Innovation/Technology Management |
Operations Management |
Discrete Optimization |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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1. Introduction -- 2. Problem Statements -- 3. Literature Review -- 4. Continuous-time Markov Decision Processes -- 5. Generation of Problem Instances -- 6. Scheduling Using Priority Policies -- 7. Optimal and Near Optimal Scheduling Policies -- 8. Integrated Dynamic Order Acceptance and Capacity Planning -- 9. Conclusions and Future Work. |
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Sommario/riassunto |
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This book deals with dynamic and stochastic methods for multi-project planning. Based on the idea of using queueing networks for the analysis of dynamic-stochastic multi-project environments this book addresses two problems: detailed scheduling of project activities, and integrated order acceptance and capacity planning. In an extensive simulation study, the book thoroughly investigates existing scheduling policies. To obtain optimal and near optimal scheduling policies new models and algorithms are proposed based on the theory of Markov decision processes and Approximate Dynamic programming. Then the book presents a new model for the effective computation of optimal policies based on a Markov decision process. Finally, the book provides insights into the structure of optimal policies. |
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