Waste processing facility location problem by stochastic programming: Models and solutions
The result's identifiers
Result code in 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>
Alternative codes found
RIV/70883521:28140/19:63524186
Result on the web
<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>
Alternative languages
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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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing
ISBN
9783319978871
ISSN
2194-5357
e-ISSN
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Number of pages
13
Pages from-to
167-179
Publisher name
Springer Nature
Place of publication
Switzerland
Event location
Brno
Event date
Jun 20, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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