Hanford waste blending and the value of research: stochastic optimization as a policy tool

A new approach to stochastic, combinatorial optimization is presented through its application to a contemporary policy problem: cleanup of radioactive wastes stored underground at the US Government's Hanford, WA, nuclear fuels processing site. Current plans call for the tank contents to be sele...

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Veröffentlicht in:	Journal of multi-criteria decision analysis 2001-03, Vol.10 (2), p.87-99
Hauptverfasser:	Johnson, Timothy Lawrence, Diwekar, Urmila M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cost control Decision making models Environmental cleanup Nuclear fuels nuclear waste remediation Optimization techniques process modeling Process planning Public policy Radioactive wastes stochastic optimization Studies uncertainty Viscosity
Online-Zugang:	Volltext
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