Ecological Risk-O-Meter: a risk assessor and manager software tool for better decision making in ecosystems

2012 ◽  
Vol 23 (8) ◽  
pp. 729-737 ◽  
Author(s):  
Mehmet Sahinoglu ◽  
Susan J. Simmons ◽  
Lawrence B. Cahoon ◽  
Scott Morton
10.29007/v979 ◽  
2018 ◽  
Author(s):  
Ziad Shawwash ◽  
James H. Everett

This paper presents the Risk Informed Decision-making Framework and software tool we developed that formally account for flood risk and uncertainty in reservoir operations. The framework and the software tool are intended for practical use by reservoir operations planners to manage flooding events. We present a robust and comprehensive approach that accounts for a multitude of flood risks and their impacts, and that enables its users to identify those alternative reservoir operating plans that formally adopt a state-of-the-art risk informed decision-making framework. Solidly grounded in and closely follows a well-structured planning process, the framework augments existing planning processes and information flows that incorporates specific techniques and methods from probabilistic risk analysis (PRA) and Multi-criteria Decision Analysis techniques (MCDA). Seven major hydropower companies and agencies in North America and Europe sponsored the development of the framework and the decision support tool. We present the results of a case study to illustrate the framework and the software system. We show that numerous advantages can be achieved using such tools over currently used approaches and that in the case of risky and high-impact processes, such as in the management of potentially high-consequence facilities such as storage reservoirs, management by a human operator is essential.


2017 ◽  
Vol 68 ◽  
pp. 1-9 ◽  
Author(s):  
Gerjan J. Piet ◽  
Antony M. Knights ◽  
Ruud H. Jongbloed ◽  
Jacqueline E. Tamis ◽  
Pepijn de Vries ◽  
...  

2005 ◽  
Vol 895 ◽  
Author(s):  
Marc Binder ◽  
Harald Florin ◽  
Johannes Kreissig

AbstractThis presentation will illustrate how to expand the view by considering the total life cycle in an efficient way into the decision making process and why it is important to do so. The business case will show, how the ecological and economic aspects considering the total life cycle of different design options have been considered when determining the preferable design options out of an holistic point of view. Life Cycle Engineering (LCE)/ Life Cycle Assessment (LCA) integrated in the design Process LCE methodology is evaluating ecological, technical and economic aspects considering the total life cycle of processes/products. LCA studies are the basis for the ecological evaluation within LCE. LCE studies are based on material and energy flow information needed while running the facilities or for producing products. LCE is a simulation tool show optimization potentials as well as supporting the decision making process within the design phase. As various databases hold information on ecological impacts of material- and energy production and information on the economic values is available within the involved companies, time consuming research on basic materials and energies is not necessary. Therefore first estimations on scenarios can be made within days to support the decision process not causing any time delay. LCE studies can be conducted within the design process and on existing facilities/products. If LCE is used within the design process optimization potentials can be shown in early stages of the design phase of facilities/products. Integration of LCE within early stages of the design ensures an efficient way of improving the ecological profile of processes and products and reducing the overall costs considering the total life cycle. Realization within a software tool The software tool GaBi4 is developed and designed to support LCE efficiently and in a transparent way. The design of the facilities can be modeled according to the material and energy flow. This enables the user to run scenario analysis for different design options based on the process flow model. Business case The methodology of LCE has been integrated into the design process of the new rear axle paint shop focusing on the handling of the overspray. Different design options have been analyzed and arguments were made explicit to support the decision making process. As LCE was part of the whole design process from the beginning, the effort for all participants could have been minimized. Conclusions The case study has shown that the integration of LCE into the design process provides additional information and is not causing any delay of the decision making process. LCE enables a transparent presentation of the economics and ecological impacts on a process bases. Optimization potentials, ecological and economic, can be shown at all stages of the design phase and result in reducing the overall costs and environmental burdens caused by the paint process.


Author(s):  
Andrew J Rixon ◽  
Stewart Burn

Public participatory geographical information systems (PPGIS) are becoming widely recognised as powerful tools for informed participatory decision-making processes within urban planning projects. This paper discusses a technique recently used within a case study for providing visualisations of traffic flows and how to incorporate local community perceptions of their neighbourhoods into a PPGIS software tool. In particular, the paper demonstrates a new methodology for visualisation of qualitative social data, facilitating dialogue and discussion amongst stakeholders and planning professionals in an urban context. The paper concludes with a discussion on techniques for developing software and presenting visualisations in an understandable and usable manner catering for a diversity of participants.


Author(s):  
Ashish K. Sharma ◽  
Sunanda Khandait

Albeit, online shopping has grown much recently, users' rate of satisfaction has declined due to the ineffective design of online shopping websites. Thus, the companies involved are craving for well-designed websites. Effective website design involves decision making and thus this paper considers Quality Function Deployment (QFD) as it is a strong decision-making tool. However, QFD uses crisp scoring approach that generates uncertainty and vagueness resulting in impreciseness and inconsistency in results. The issue can be addressed using fuzzy integration. QFD involves prioritization of Customer Needs (CNs) and Technical Requirements (TRs). However, the paper focuses on only CNs prioritization. Also, the existing software's lack the indispensable fuzzy support feature to handle the uncertainty and vagueness. Thus, the paper presents a novel fuzzy integrated customer needs prioritization software tool. The tool is built using Visual Basic Dot Net (VB.Net) and MS-Access. A real-life example is presented to demonstrate the viability of the software tool.


2016 ◽  
Vol 1 ◽  
Author(s):  
Anita Susilawati

<p>For companies that implement Lean Manufacturing, it is essential to measure the<strong> </strong>extent of success in terms of the achievements of optimum performances. This paper describes the development of a Fuzzy Analytical Hierarchy Process (FAHP) algorithm based Performance Measurement System (PMS) application software for lean companies. The PMS software, which was developed using the C++ language, was designed as a decision making system to aid lean manufacturing companies. The software allows decision making analysis based FAHP facilitating data input, pairwise comparisons, weight calculation and lean company scores. A case study of a lean manufacturing is presented to illustrate the theoretical and practical aspects of the PMS software. The case study demonstrated the software tool can assent to a lean company to implement PMS in a much easier manner yielding more accurate and consistent results that include a list of recommended actions to address issues identified. Therefore, it can improve the company performance.</p>


Sign in / Sign up

Export Citation Format

Share Document