scholarly journals Demonstration of Decision Support Tools for Sustainable Development

2000 ◽  
Author(s):  
David Earl Shropshire ◽  
Jacob Jordan Jacobson ◽  
Sharon Berrett ◽  
D. A. Cobb ◽  
P. Worhach
Keyword(s):  
Sustainable Development ◽  
Decision Support ◽  
Decision Support Tools ◽  
Support Tools

scholarly journals Post-consumer wood in environmental decision-support tools

2002 ◽  
Vol 153 (3) ◽  
pp. 97-106 ◽  
Author(s):  
Frank Werner ◽  
Hans-Jörg Althaus ◽  
Klaus Richter
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Decision Support ◽  
Material Flow ◽  
Flow Analysis ◽  
Material Flow Analysis ◽  
Decision Making Process ◽  
Decision Support Tools ◽  
Support Tools ◽  
Environmental Decision

Environmental decision-support tools, such as life cycle assessment or material flow analysis, only support the decision-making process if, in addition to the causalities of the systems under study, their role within sustainable development is adequately depicted. This article outlines the basis of the two requirements for post-consumer wood in Switzerland.

Decision Support Tools For Assessing Petroleum Upstream Investments

2020 ◽  
pp. 323
Author(s):  
Nour Elislam Djedaa ◽  
Abderrezak Moulay Lakhdar
Keyword(s):  
Decision Support ◽  
Decision Support Tools ◽  
Support Tools

Elicitation of expert knowledge to develop decision support tools for use in water demand management planning

2007 ◽  
Vol 7 (5-6) ◽  
pp. 53-60
Author(s):  
D. Inman ◽  
D. Simidchiev ◽  
P. Jeffrey
Keyword(s):  
Decision Support ◽  
Water Demand ◽  
Expert Knowledge ◽  
Demand Management ◽  
Decision Processes ◽  
Conservation Strategy ◽  
Influence Diagrams ◽  
Decision Support Tools ◽  
Water Demand Management ◽  
Support Tools

This paper examines the use of influence diagrams (IDs) in water demand management (WDM) strategy planning with the specific objective of exploring how IDs can be used in developing computer-based decision support tools (DSTs) to complement and support existing WDM decision processes. We report the results of an expert consultation carried out in collaboration with water industry specialists in Sofia, Bulgaria. The elicited information is presented as influence diagrams and the discussion looks at their usefulness in WDM strategy design and the specification of suitable modelling techniques. The paper concludes that IDs themselves are useful in developing model structures for use in evidence-based reasoning models such as Bayesian Networks, and this is in keeping with the objectives set out in the introduction of integrating DSTs into existing decision processes. The paper will be of interest to modellers, decision-makers and scientists involved in designing tools to support resource conservation strategy implementation.

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