Production portfolio optimisation under uncertainty: Threats of emissions trading

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

Production portfolio optimisation under uncertainty: Threats of emissions trading

Original language description

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&apos;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.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

50202 - Applied Economics, Econometrics

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

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

Name of the periodical

International Journal of Applied Decision Sciences

ISSN

1755-8077

e-ISSN

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Volume of the periodical

10

Issue of the periodical within the volume

3

Country of publishing house

CH - SWITZERLAND

Number of pages

16

Pages from-to

274-290

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85024404265