Descripción del título
"Traditionally, revenue management models aim at a maximization of expected revenue, i.e. a risk-neutral decision-maker is assumed. During the last few years, however, the consideration of revenue risk has gained more and more attention." "By failing to suggest mechanisms for reducing unfavorable revenue levels, traditional risk-neutral capacity control models fall short of meeting the needs of a risk-averse planner. This is why this book revises the well-known capacity control problem in revenue management from the perspective of a risk-averse decision-maker. Modelling an expected utility maximizing decision maker, the problem is formulated as a risk-sensitive Markov decision process. Special emphasis is put on the existence of structured optimal policies. Numerical examples illustrate the results."--Jacket
Monografía
monografia Rebiun36387408 https://catalogo.rebiun.org/rebiun/record/Rebiun36387408 m o d cr cn||||||||| 080128s2007 gw a ob 000 0 eng d 180881059 260242116 307478766 316687902 320535890 320969774 422732968 613466862 648321894 732871345 756437182 880114213 1035662126 1067025827 1078839221 1097326936 1097339350 1110832641 1198994251 1204070844 9783540730149 3540730141 9783540730132 pbk.) 3540730133 pbk.) 10.1007/978-3-540-73014-9 doi AU@ 000048715859 AU@ 000051342321 AU@ 000060362677 DEBSZ 276336674 IG# 9783540730132 NLGGC 316667048 NZ1 12025840 NZ1 12058869 DKDLA 820120-katalog:999918404605765 978-3-540-73013-2 Springer http://www.springerlink.com GW5XE eng pn GW5XE YDXCP TEX CEF YNG DLC IG# UAB DKU N$T CNTRU OCLCQ MHW OCLCQ MNU E7B IDEBK OCLCO EBLCP OCLCQ A7U OCLCQ OCLCF BEDGE NLGGC OCLCO OCLCQ SLY COO OCLCQ DEBSZ OCLCQ Z5A OCLCQ ESU OCLCQ STF TFW OCLCQ U3W OCLCQ WYU ICG UWO CANPU OCLCQ W2U OCLCQ OL$ OCLCQ ZHM OCLCQ INARC EZ9 TXI OCLCQ OCLCO OCLCQ DCT OCLCO OCLCL OCLCQ BUS 033070 bisacsh Barz, Christiane Dr. rer. pol. https://id.oclc.org/worldcat/entity/E39PCjwJ4CBFdJxRBxhbhGFKcX Risk-averse capacity control in revenue management Christiane Barz Berlin Springer Verlag 2007 Berlin Berlin Springer Verlag 1 online resource (xii, 163 pages) illustrations 1 online resource (xii, 163 pages) Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture notes in economics and mathematical systems 0075-8442 597 Includes bibliographical references (pages 151-163) Introduction; Markov Decision Processes and the Total Reward Criterion; Expected Utility Theory for Sequential Decision Making; Capacity Control in a Random Environment; Basic Single Resource Capacity Control Models in Revenue Management; Capacity Control Maximizing Additive Time-Separable Utility; Capacity Control Maximizing Atemporal Utility; An Extension: Capacity Control Under a General Discrete Choice Model of Consumer Behavior; Conclusion "Traditionally, revenue management models aim at a maximization of expected revenue, i.e. a risk-neutral decision-maker is assumed. During the last few years, however, the consideration of revenue risk has gained more and more attention." "By failing to suggest mechanisms for reducing unfavorable revenue levels, traditional risk-neutral capacity control models fall short of meeting the needs of a risk-averse planner. This is why this book revises the well-known capacity control problem in revenue management from the perspective of a risk-averse decision-maker. Modelling an expected utility maximizing decision maker, the problem is formulated as a risk-sensitive Markov decision process. Special emphasis is put on the existence of structured optimal policies. Numerical examples illustrate the results."--Jacket Gestión de rentabilidad Operations research Marketing Operations Research Marketing Rentabilité- Gestión Recherche opérationnelle Marketing Marketing BUSINESS & ECONOMICS- Insurance- Risk Assessment & Management. Gestión de rentabilidad Affaires. Science économique. Economie de l'entreprise. Gestión de rentabilidad Besliskunde. Risicoanalyse. Capaciteit. Controleleer. Springer e-books Springer e-books Print version Barz, Christiane. Risk-averse capacity control in revenue management. Berlin : Springer Verlag, 2007 9783540730132 3540730133 (DLC) 2007930764 (OCoLC)166357848 Lecture notes in economics and mathematical systems 597. 0075-8442