Decision Analysis Tool for Appropriate Water Source in Buildings

2018 ◽  
pp. 269-284
Author(s):  
D. Káposztásová ◽  
Z. Vranayová
Keyword(s):  
Decision Analysis ◽  
Water Source ◽  
Analysis Tool

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.

Productivity improvement in solid waste recycling centres through lean implementation aided by multi-criteria decision analysis

2018 ◽  
Vol 25 (5) ◽  
pp. 1480-1499 ◽  
Author(s):  
Guilherme Tortorella ◽  
Glauco Silva ◽  
Lucila M.S. Campos ◽  
Cassiano Pizzeta ◽  
Amanda Latosinski ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
Solid Waste ◽  
Value Stream Mapping ◽  
Analysis Tool ◽  
Productivity Improvement ◽  
Lean Implementation ◽  
Content Type ◽  
Multi Criteria Decision Analysis ◽  
Lean Practices

Purpose The purpose of this paper is to investigate, through a comparative analysis, the applicability of lean manufacturing practices, such as value stream mapping (VSM), for productivity improvement in recycling centres (RCs) aided by multi-criteria decision analysis. Design/methodology/approach The study is carried out in five RCs that sort the municipal solid waste of Porto Alegre, one of the main cities in Brazil. Since all of the centres present their labour composed by poor communities’ members, cultural and social characteristics may represent an incremental challenge for lean implementation. Further, these centres are organised in cooperatives, in which decisions are taken through a participatory way and all their members are entitled to vote, undermining and retarding the decision-making process. Findings The integration of a multi-criteria decision-making tool to the lean practices enables the prioritisation of improvements, complementing the final stage of VSM. In particular, this contribution becomes especially important in cooperatives managed by community, where decisions are often complex and time-consuming. Finally, despite the increasing pressure for better performance of RCs, the existent mindset is still far from the private sector, where lean practices were conceived. Further, the findings suggest that, despite processes similarities, it is not feasible to declare the existence of a one-best practice to such scenario. Originality/value In theoretical terms, the authors demonstrate through a multi-case study the adequacy of analytic hierarchy process as a decision analysis tool complementary to the VSM, enabling a broader perspective about this subject. Concerning the practical contribution, the comprehension of the adaptation needs for lean practices implementation within the production context of solid waste RCs provides a framework with guidelines for this sector, when incorporating lean activities. Lean practitioners and eventual municipal authorities involved in improving productivity of community-managed RCs might benefit from this framework, since they will be able to emphasise the development of recommended and already tested lean practices that tend to improve their operational performance.

Abstract WP219: Decision Analysis Tool for Prehospital Stroke Triage in the Era of Endovascular Therapy

Stroke ◽  
2018 ◽  
Vol 49 (Suppl_1) ◽  
Author(s):  
Nirali Vora ◽  
Jongbin Jung ◽  
Prasanthi Govindarajan
Keyword(s):  
Decision Analysis ◽  
Endovascular Therapy ◽  
Analysis Tool

Applications of AI in Financial System

2017 ◽  
pp. 101-109
Author(s):  
Santosh Kumar ◽  
Roopali Sharma
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Decision Analysis ◽  
Computer Science ◽  
Investment Decision ◽  
Analysis Tool ◽  
Changing Environment ◽  
Human Interference ◽  
Applications Of Ai

Role of computers are widely accepted and well known in the domain of Finance. Artificial Intelligence(AI) methods are extensively used in field of computer science for providing solution of unpredictable event in a frequent changing environment with utilization of neural network. Professionals are using AI framework into every field for reducing human interference to get better result from few decades. The main objective of the chapter is to point out the techniques of AI utilized in field of finance in broader perspective. The purpose of this chapter is to analyze the background of AI in finance and its role in Finance Market mainly as investment decision 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.

A Decision Analysis Tool for Evaluating Fundraising Tiers

2009 ◽  
Vol 6 (1) ◽  
pp. 4-13 ◽  
Author(s):  
Kevin F. McCardle ◽  
Kumar Rajaram ◽  
Christopher S. Tang
Keyword(s):  
Decision Analysis ◽  
Analysis Tool

scholarly journals A UNIFIED DECISION FRAMEWORK FOR INVENTORY CLASSIFICATION THROUGH GRAPH THEORY

2017 ◽  
Vol 9 (2) ◽  
Author(s):  
Bivash Mallick ◽  
Bijan Sarkar ◽  
Santanu Das
Keyword(s):  
Graph Theory ◽  
Analytic Hierarchy Process ◽  
Decision Analysis ◽  
Multiple Criteria Decision Making ◽  
Analysis Tool ◽  
Analytic Hierarchy ◽  
Consumption Cost ◽  
The Analytic Hierarchy Process ◽  
Abc Analysis ◽  
Hierarchy Process

Conventionally, a traditional ABC analysis based on a single criterion of annual consumption cost is employed in industry to facilitate classification of inventory items. However, other criteria may be important in inventory classification such as lead time, item criticality, storage cost, etc. Hence, for situations like this many multiple criteria decision-making methods are available and the Analytic Hierarchy Process (AHP) is a popular one. The present article demonstrates a new approach by integrating Graph Theory (GT) and the Analytic Hierarchy Process (AHP) as a decision analysis tool for multi-criteria inventory classification. In this paper, 47 disposable items used in a respiratory therapy unit of a hospital were considered for a case study. Output of this hybrid method shows more precise results than that of either traditional ABC or the AHP classification methods. As the proposed decision analysis tool is a simple, logical, systematic and consistent method, it may be recommended for application in diverse industries handling multi-criteria inventory classification systems.https://doi.org/10.13033/ijahp.v9.i2.482

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