The challenge of predicting problematic chemicals using a decision analysis tool: Triclosan as a case study

2016 ◽  
Vol 13 (1) ◽  
pp. 198-207
Author(s):  
Angela L Perez ◽  
Alison M Gauthier ◽  
Tyler Ferracini ◽  
Dallas M Cowan ◽  
Tony Kingsbury ◽  
...  
Keyword(s):  
Decision Analysis ◽  
Analysis Tool

scholarly journals The PROMETHEE Framework for Comparing the Sustainability of Agricultural Systems

Resources ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 74 ◽  
Author(s):  
Byomkesh Talukder ◽  
Keith W. Hipel
Keyword(s):  
Decision Analysis ◽  
Evaluation Method ◽  
Sustainability Indicators ◽  
Preference Ranking ◽  
Analysis Tool ◽  
Agricultural Systems ◽  
Coastal Bangladesh ◽  
Alternative Systems ◽  
Different Types

The PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) method is applied to five different types of agricultural systems in coastal Bangladesh in order to rank the alternatives from most to least suitable according to a range of sustainability indicators. More specifically, composite indicators from six sustainability categories—productivity, stability, efficiency, durability, compatibility, and equity—are used for this assessment. The case study demonstrates that PROMETHEE constitutes a flexible MCDA (Multi-Criteria Decision Analysis) tool to investigate the sustainability of agricultural systems, rank the different alternative systems, and provide valuable insights.

EVALUATION OF ECO-EFFICIENCY BY MULTICRITERIA DECISION ANALYSIS. CASE STUDY OF ECO-INNOVATED AND ECO-DESIGNED PRODUCTS FROM RECYCLABLE WASTE

2018 ◽  
Vol 17 (8) ◽  
pp. 1791-1804 ◽  
Author(s):  
Maria Gavrilescu ◽  
Elena-Diana Comanita ◽  
Petronela Cozma ◽  
Isabela Maria Simion ◽  
Mihaela Rosca
Keyword(s):  
Decision Analysis ◽  
Multicriteria Decision Analysis ◽  
Multicriteria Decision

scholarly journals Multi-Criteria Framework for Selection of City-Wide Sanitation Solutions in Coastal Towns in Northern Angola

2021 ◽  
Vol 13 (10) ◽  
pp. 5627
Author(s):  
Rita Ventura Matos ◽  
Filipa Ferreira ◽  
Liliana Alves ◽  
Elsa Ramos ◽  
Lucrécio Costa ◽  
...  
Keyword(s):  
Decision Analysis ◽  
Analysis Tool ◽  
Planning Stage ◽  
Multi Criteria Decision Analysis ◽  
Sanitation Services ◽  
Decision Aiding ◽  
Coastal Cities ◽  
Sub Saharan ◽  
Multi Stakeholder ◽  
Treatment Alternatives

In this paper, an expedited multi-criteria decision analysis framework, capable of tackling several dimensions for the choice of sanitation services, at an early planning stage is presented. The approach combines geographic information systems aided analysis for onsite solutions, with a multi-criteria decision analysis tool capable of suggesting and ranking several viable offsite treatment alternatives, according to the desired criteria. The framework was applied to four coastal cities in Northern Angola, one of the sub-Saharan countries of the west coast of Africa, thus obtaining an indication for city-wide solutions, as an aid to achieve the goal of ensuring full sanitation coverage in those four locations. It included possible onsite collection and storage interfaces, namely Ventilated Improved Pit latrines, fossa alterna, septic tanks or conventional sewer systems. The study also contributed to an informed decision regarding optimal offsite treatment facility type, namely based on dedicated or combined wastewater and faecal sludge treatment (co-treatment), as well as different options for locations and sanitation technologies. Alternatives were compared and ranked according to ten main criteria concerning social, economic, technological and environmental aspects. This work helped demonstrate the usefulness of decision-aiding tools in the multi-stakeholder and complex context of sanitation in a developing country.

Quantitative Decision Analysis for Co2 Storage Conformance Management: A Synthetic Case Study at Smeaheia, North Sea

2021 ◽  
Author(s):  
Eduardo Barros ◽  
Anouar Romdhane ◽  
Per Eirik Strand Bergmo ◽  
Olwijn Leeuwenburgh ◽  
Alv-Arne Grimstad
Keyword(s):  
Decision Analysis ◽  
North Sea ◽  
Co2 Storage

Applying Advanced FMEA Methods to Vehicle Fire Cause Determinations

2011 ◽  
Author(s):  
Kerry D. Parrott ◽  
Pat J. Mattes ◽  
Douglas R. Stahl
Keyword(s):  
Automotive Industry ◽  
Failure Modes ◽  
Illustrative Case ◽  
Analysis Tool ◽  
Fire Investigation ◽  
Root Cause ◽  
Product And Process ◽  
Illustrative Case Study ◽  
Fire Cause

This paper proposes that the advanced Failure Modes and Effects Analysis (FMEA) techniques and methodology currently used by the automotive industry for product and process design can be reversed and used as an effective failure/root cause analysis tool. This paper will review FMEA methodologies, explain the newest advanced FMEA methodologies that are now being used in the automotive industry, and will then explain how this methodology can be effectively reversed and used as a failure analysis and fire cause determination tool referred to as a “reverse FMEA” (rFMEA). This paper will address the application of these techniques and methodology to vehicle fire cause determination. This methodology is particularly suited to situations where multiple potential fire causes are contained within an established area of origin. NFPA 921 Guide for Fire & Explosion Investigations [1] and NFPA 1033 Standard for Professional Qualifications for Fire Investigator [2], often referenced by the fire investigation community, prescribe following a systematic approach utilizing the scientific method for fire origin and cause determinations. The rFMEA methodology is proposed as a fire investigation tool that assists in that process. This “reverse FMEA” methodology will then be applied to a hypothetical, illustrative case study to demonstrate its application.

scholarly journals Modeling Landfill Suitability Based on GIS and Multicriteria Decision Analysis: Case Study in Al-Mahaweelqadaa

2014 ◽  
Vol 06 (11) ◽  
pp. 828-851 ◽  
Author(s):  
Mohammad Ali Alanbari ◽  
Nadhir Al-Ansari ◽  
Hadeel Kareem Jasim ◽  
Sven Knutsson
Keyword(s):  
Decision Analysis ◽  
Multicriteria Decision Analysis ◽  
Multicriteria Decision
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