Robust optimization vs. simulation-based approach in timber harvest scheduling

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F18%3A78037" target="_blank" >RIV/60460709:41110/18:78037 - isvavai.cz</a>

Alternative codes found

RIV/60460709:41320/18:78037

Result on the web

<a href="http://euro2018valencia.com/" target="_blank" >http://euro2018valencia.com/</a>

DOI - Digital Object Identifier

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Result language

čeština

Original language name

Robust optimization vs. simulation-based approach in timber harvest scheduling

Original language description

In our contribution, we focus on advantages of robust optimization approach in timber harvest scheduling. There are many aspects of uncertainty in the harvest scheduling that a decision-maker should take into consideration. We are specifically concerned with the uncertainty arising from the growth prediction errors of stand volume as well as forest inventory errors. We assume a classical harvest-scheduling model with harvest-flow constraints formulated as a deterministic integer linear program based on the real data under the conditions of Central Europe. The deterministic program is consequently transformed into its robust counterpart whereas it was shown how to overcome difficulties in this particular model formulation. The results of the robust optimization model were then compared with randomly simulated errors occurring in stand volumes. The comparison confirmed that the usage of the robust approach ensures significantly better solutions in terms of achieving given objective than the worst-case

Czech name

Robust optimization vs. simulation-based approach in timber harvest scheduling

Czech description

In our contribution, we focus on advantages of robust optimization approach in timber harvest scheduling. There are many aspects of uncertainty in the harvest scheduling that a decision-maker should take into consideration. We are specifically concerned with the uncertainty arising from the growth prediction errors of stand volume as well as forest inventory errors. We assume a classical harvest-scheduling model with harvest-flow constraints formulated as a deterministic integer linear program based on the real data under the conditions of Central Europe. The deterministic program is consequently transformed into its robust counterpart whereas it was shown how to overcome difficulties in this particular model formulation. The results of the robust optimization model were then compared with randomly simulated errors occurring in stand volumes. The comparison confirmed that the usage of the robust approach ensures significantly better solutions in terms of achieving given objective than the worst-case

Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10102 - Applied mathematics

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

EURO 2018 Conference handbook

ISBN

978-84-09-02938-9

ISSN

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e-ISSN

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Number of pages

1

Pages from-to

304-304

Publisher name

Neuveden

Place of publication

Valencia

Event location

Valencia

Event date

Jul 8, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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