Production portfolio optimisation under uncertainty: Threats of emissions trading
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F17%3A10237926" target="_blank" >RIV/61989100:27510/17:10237926 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1504/IJADS.2017.085083" target="_blank" >http://dx.doi.org/10.1504/IJADS.2017.085083</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1504/IJADS.2017.085083" target="_blank" >10.1504/IJADS.2017.085083</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Production portfolio optimisation under uncertainty: Threats of emissions trading
Popis výsledku v původním jazyce
This study is devoted to profit margin maximisation of heavy industrial companies in Europe which are under the economic and environmental pressure caused by Emissions Trading Scheme (EU ETS). The aim of the study is to use an optimisation model maximising a company's total profit margin under uncertainty related to the duty of CO2 emissions trading in order to assess possible threats and impact of emissions trading. Two main factors, which are considered to be uncertain, are the prices of the emission permits and the demand for products of the company. Since the uncertainty is involved in the model, the fuzzy optimisation (level sets approach) is used to face it. The calibration of the model is done using real dataset of a European steel company. Based on the results of the verification, a potential impact of emissions trading on companies, their profit and sustainability, has been discovered. © 2017 Inderscience Enterprises Ltd.
Název v anglickém jazyce
Production portfolio optimisation under uncertainty: Threats of emissions trading
Popis výsledku anglicky
This study is devoted to profit margin maximisation of heavy industrial companies in Europe which are under the economic and environmental pressure caused by Emissions Trading Scheme (EU ETS). The aim of the study is to use an optimisation model maximising a company's total profit margin under uncertainty related to the duty of CO2 emissions trading in order to assess possible threats and impact of emissions trading. Two main factors, which are considered to be uncertain, are the prices of the emission permits and the demand for products of the company. Since the uncertainty is involved in the model, the fuzzy optimisation (level sets approach) is used to face it. The calibration of the model is done using real dataset of a European steel company. Based on the results of the verification, a potential impact of emissions trading on companies, their profit and sustainability, has been discovered. © 2017 Inderscience Enterprises Ltd.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
50202 - Applied Economics, Econometrics
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
International Journal of Applied Decision Sciences
ISSN
1755-8077
e-ISSN
—
Svazek periodika
10
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
16
Strana od-do
274-290
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85024404265