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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/60460709:41320/18:78037

Výsledek na webu

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

DOI - Digital Object Identifier

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Jazyk výsledku

čeština

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10102 - Applied mathematics

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

EURO 2018 Conference handbook

ISBN

978-84-09-02938-9

ISSN

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e-ISSN

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Počet stran výsledku

1

Strana od-do

304-304

Název nakladatele

Neuveden

Místo vydání

Valencia

Místo konání akce

Valencia

Datum konání akce

8. 7. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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