| dc.contributor |
Universitat Pompeu Fabra. Departament d'Economia i Empresa |
| dc.contributor.author |
Dacre, Marcus |
| dc.contributor.author |
Glazebrook, Kevin D. |
| dc.contributor.author |
Niño-Mora, José |
| dc.date.accessioned |
2005-09-15T23:09:41Z |
| dc.date.available |
2005-09-15T23:09:41Z |
| dc.date.created |
1998-06-01T00:00:00Z |
| dc.date.issued |
2005-09-15T23:09:41Z |
| dc.identifier.uri |
http://hdl.handle.net/2072/452 |
| dc.format.extent |
398892 bytes |
| dc.format.mimetype |
application/pdf |
| dc.language.iso |
eng |
| dc.relation.ispartofseries |
Economics and Business Working Papers Series; 306 |
| dc.rights |
Aquest document està subjecte a una llicència d'ús de Creative Commons, amb la qual es permet copiar, distribuir i comunicar públicament l'obra sempre que se'n citin l'autor original, la universitat i el departament i no se'n faci cap ús comercial ni obra derivada, tal com queda estipulat en la llicència d'ús (http://creativecommons.org/licenses/by-nc-nd/2.5/es/) |
| dc.subject.other |
Achievable region, Gittins index, linear programming, load balancing, multi-class queueing systems, performance space, stochastic optimisation threshold policy |
| dc.title |
The Achievable Region Approach to the Optimal Control of Stochastic Systems |
| dc.type |
info:eu-repo/semantics/workingPaper |
| dc.description.abstract |
The achievable region approach seeks solutions to stochastic optimisation problems by: (i) characterising the space of all possible performances (the achievable region) of the system of interest, and (ii) optimising the overall system-wide performance objective over this space. This is radically different from conventional formulations based on dynamic programming. The approach is explained with reference to a simple two-class queueing system. Powerful new methodologies due to the authors and co-workers are deployed to analyse a general multiclass queueing system with parallel servers and then to develop an approach to optimal load distribution across a network of interconnected stations. Finally, the approach is used for the first time to analyse a class of intensity control problems. |