Waste processing facility location problem by stochastic programming: Models and solutions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F18%3APU130243" target="_blank" >RIV/00216305:26210/18:PU130243 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/70883521:28140/19:63524186

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-319-97888-8_15" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-97888-8_15</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-97888-8_15" target="_blank" >10.1007/978-3-319-97888-8_15</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Waste processing facility location problem by stochastic programming: Models and solutions

Popis výsledku v původním jazyce

The paper deals with the so-called waste processing facility location problem (FLP), which asks for establishing a set of operational waste processing units, optimal against the total expected cost. We minimize the waste management (WM) expenditure of the waste producers, which is derived from the related waste processing, transportation, and investment costs. We use a stochastic programming approach in recognition of the inherent uncertainties in this area. Two relevant models are presented and discussed in the paper. Initially, we extend the common transportation network flow model with on-and-off waste-processing capacities in selected nodes, representing the facility location. Subsequently, we model the randomly-varying production of waste by a scenario-based two-stage stochastic integer linear program. Finally, we employ selected pricing ideas from revenue management to model the behavior of the waste producers, who we assume to be environmentally friendly. The modeling ideas are illustrated on an example of limited size solved in GAMS. Computations on larger instances were realized with traditional and heuristic algorithms, implemented within MATLAB.

Název v anglickém jazyce

Waste processing facility location problem by stochastic programming: Models and solutions

Popis výsledku anglicky

The paper deals with the so-called waste processing facility location problem (FLP), which asks for establishing a set of operational waste processing units, optimal against the total expected cost. We minimize the waste management (WM) expenditure of the waste producers, which is derived from the related waste processing, transportation, and investment costs. We use a stochastic programming approach in recognition of the inherent uncertainties in this area. Two relevant models are presented and discussed in the paper. Initially, we extend the common transportation network flow model with on-and-off waste-processing capacities in selected nodes, representing the facility location. Subsequently, we model the randomly-varying production of waste by a scenario-based two-stage stochastic integer linear program. Finally, we employ selected pricing ideas from revenue management to model the behavior of the waste producers, who we assume to be environmentally friendly. The modeling ideas are illustrated on an example of limited size solved in GAMS. Computations on larger instances were realized with traditional and heuristic algorithms, implemented within MATLAB.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>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

Advances in Intelligent Systems and Computing

ISBN

9783319978871

ISSN

2194-5357

e-ISSN

—

Počet stran výsledku

13

Strana od-do

167-179

Název nakladatele

Springer Nature

Místo vydání

Switzerland

Místo konání akce

Brno

Datum konání akce

20. 6. 2017

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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