Multi-criteria decision making (MCDM) of solid waste collection methods using Life Cycle Assessment (LCA) outputs

2009 ◽  
Author(s):  
H. Ziya Ulukan ◽  
Yesim Kop
Keyword(s):  
Decision Making ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Solid Waste ◽  
Multi Criteria Decision Making ◽  
Waste Collection ◽  
Solid Waste Collection ◽  
Collection Methods

Combining operational research and Life Cycle Assessment to optimize municipal solid waste collection in a district in Lima (Peru)

2017 ◽  
Vol 156 ◽  
pp. 589-603 ◽  
Author(s):  
Alessandro Gilardino ◽  
Jonatan Rojas ◽  
Héctor Mattos ◽  
Gustavo Larrea-Gallegos ◽  
Ian Vázquez-Rowe
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Operational Research ◽  
Waste Collection ◽  
Solid Waste Collection

Integrated Life Cycle Assessment, Life Cycle Costing and Multi Criteria Decision Making for Food Waste Composting Management

2021 ◽  
Vol 21 (1) ◽  
pp. 1-9
Author(s):  
R. Abu ◽  
M. A. A. Aziz ◽  
Z. Z. Noor
Keyword(s):  
Decision Making ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Food Waste ◽  
Social Acceptance ◽  
Life Cycle Costing ◽  
Multi Criteria Decision Making ◽  
Integrated Models ◽  
Environmental Friendliness ◽  
Depth Analysis

The integrated models specifically designed to help decision-making in food waste (FW) composting management through the analysis of previous research studies are reviewed. The integrated models are built predominantly within three decision-supporting tools, which include life-cycle assessment (LCA), life cycle costing (LCC), and multi-criteria decision-making (MCDM). Different integrated models were discussed and their strengths, limitations, and crucial problems as well as their potential integration were evaluated. Apparently, there has been no in-depth analysis of its approaches and potentialities of combining harmonically the LCA, LCC, and MCDM analysis tools in the FW composting management which taking into consideration multiple stakeholders. Thus, the combined LCA, LCC and MCDM with cluster analysis (CA) is suggested. The concepts underlying the sustainable FW composting management model can be divided into several aspects in terms of environmental friendliness, financial profitability, and social acceptance. This gives an insight and facilitates to waste management sectors to decide on a preferable FW composting management.

Practical applications for global positioning system data from solid waste collection vehicles

2007 ◽  
Vol 34 (5) ◽  
pp. 678-681 ◽  
Author(s):  
Bruce G Wilson ◽  
Betsy J Agar ◽  
Brian W Baetz ◽  
Anne Winning
Keyword(s):  
Data Collection ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Global Positioning System ◽  
Positioning System ◽  
Waste Collection ◽  
Solid Waste Collection ◽  
Data Collection Methods ◽  
Global Positioning ◽  
Collection Methods

Studies of municipal solid waste collection systems have traditionally relied upon information collected from time and motion studies or truck logs. This type of data collection has been expensive, the volume of data collected has been small, and the reliability of the data has been suspect. A recent project in Hamilton, Ontario, monitored five municipal solid waste collection vehicles using a global positioning system (GPS) as an alternative to traditional data collection methods. The study found that the GPS data are reliable, accurate, and suitable for a range of solid waste planning purposes. Data collection was automatic and relatively inexpensive. Analysis of the data identified significant differences in the performance of the vehicles on different routes. Data collection using GPS is an improvement over traditional data collection methods, but the large volume of data generated will provide challenges for waste managers. Key words: data collection, global positioning system, municipal solid waste, refuse collection, automatic vehicle location.

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