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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F19%3A63524186" target="_blank" >RIV/70883521:28140/19:63524186 - isvavai.cz</a>

Alternative codes found

RIV/00216305:26210/18:PU130243

Result on the web

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

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

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

Article name in the collection

Advances in Intelligent Systems and Computing, Volume 837

ISBN

978-331997887-1

ISSN

21945357

e-ISSN

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Number of pages

13

Pages from-to

167-179

Publisher name

Springer Verlag

Place of publication

Berlín

Event location

Brno

Event date

Jun 20, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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