Detail publikace
Waste processing facility location problem by stochastic programming: Models and solutions
POPELA, P. HRABEC, D. KŮDELA, J. ŠOMPLÁK, R. PAVLAS, M. ROUPEC, J. NOVOTNÝ, J.
Anglický název
Waste processing facility location problem by stochastic programming: Models and solutions
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
en
Originální abstrakt
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.
Anglický abstrakt
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.
Klíčová slova anglicky
Waste processing; Facility location problem; Stochastic programming; Two decision stages; Uncertainty modeling; Scenarios; Mathematical programming algorithms; Heuristics; Genetic algorithms; GAMS; MATLAB; Pricing related ideas
Vydáno
05.08.2018
Nakladatel
Springer Nature
Místo
Switzerland
ISBN
9783319978871
ISSN
2194-5357
Kniha
Advances in Intelligent Systems and Computing
Ročník
837
Číslo
1
Strany od–do
167–179
Počet stran
13
BIBTEX
@inproceedings{BUT151989,
author="Pavel {Popela} and Jakub {Kůdela} and Radovan {Šomplák} and Dušan {Hrabec} and Martin {Pavlas} and Jan {Roupec},
title="Waste processing facility location problem by stochastic programming: Models and solutions",
booktitle="Advances in Intelligent Systems and Computing",
year="2018",
volume="837",
number="1",
month="August",
pages="167--179",
publisher="Springer Nature",
address="Switzerland ",
isbn="9783319978871",
issn="2194-5357"
}