2016
DOI: 10.1016/j.jclepro.2015.10.016
|View full text |Cite
|
Sign up to set email alerts
|

Optimizing the environmental performance of integrated waste management scenarios by means of linear programming: a case study

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 20 publications
(2 citation statements)
references
References 16 publications
0
2
0
Order By: Relevance
“…With regar to The application of the MCDM to MSW management problems, the analytic hierarchy process (AHP) and the analytic network process (ANP) must be highlighted, e.g. Tascione et al (2016) applied multiobjective linear programming as a tool to define the best scenario to find an optimal waste management system. Vučijak et al (2015) used of multicriteria decision-making tools to select the best waste management for Bosnia and Herzegovina.…”
Section: Literature Reviewmentioning
confidence: 99%
“…With regar to The application of the MCDM to MSW management problems, the analytic hierarchy process (AHP) and the analytic network process (ANP) must be highlighted, e.g. Tascione et al (2016) applied multiobjective linear programming as a tool to define the best scenario to find an optimal waste management system. Vučijak et al (2015) used of multicriteria decision-making tools to select the best waste management for Bosnia and Herzegovina.…”
Section: Literature Reviewmentioning
confidence: 99%
“…OptiWaste is a LCA-based SWM optimisation model based on linear programming that enables optimisation for multiple criteria using weighting factors (Münster et al, 2015). Two models based on linear programming (single and multi-objective) and the integrated use of LCA data were developed and applied by Tascione et al (2016) to optimise the environmental performance of waste management systems in the Abruzzo region, Italy. These tools demonstrate that it is feasible and potentially valuable to decision makers to develop optimisation models based on the LCA framework.…”
Section: Introductionmentioning
confidence: 99%