A web-based Decision Support System (DSS) for preliminary risk assessment of Brownfield sites

Reusing brownfield sites always raises concern for the health and safety of site workers involved in site renovations and redevelopments and, subsequently, for the residents or occupants of the sites. As a minimum, a preliminary risk assessment is necessary to determine whether a brownfield site is contaminated and, if so, ensure any redevelopment is safe and suitable for its intended use. For instance, a developer may decide to redevelop brownfield site based on a preliminary risk assessment alone without any further investigation and detailed quantitative risk assessment, provided the developer is confident that any hazards present can be addressed using appropriate measures, and the acquisition brings broad commercial benefits. Despite growing interest in the progression of risk assessment tools, there are limited instruments available to brownfield site assessors to consult when conducting investigations at the preliminary risk assessment stage. This research seeks to bridge this gap and provide a Decision Support System (DSS) PRAofBS (Preliminary Risk Assessment of Brownfield sites) Tool to assist investigators and different stakeholders by identifying potential hazards associated with brownfield sites at the preliminary stage. As a result, a clear and comprehensive conceptual framework was developed to guide research in this field and shape the DSS Tool development. Experts validated the framework through a questionnaire survey. While the validation of the DSS Tool was facilitated by two approaches, firstly the DSS was uploaded to the internet, which involved testing tool by experts in terms of a graphical user interface (GUI), level of information, quality of data. The second approach was carried out by functional testing, which involved testing the tool’s outputs against real–life case studies to confirm information agreement. The framework validation results can be divided into two parts. Firstly, the statistical analyses revealed that the top information to identify the source of hazards is site history, made ground, invasive species, previous mining, storage of materials and old tanks, presence of radon, underground services and buildings and other structures. Furthermore, site geology, site hydrology, site hydrogeology, and site topography were rated as top information to identify the contaminants' pathway movement. At the same time, future site use scenario is critical to identify the critical receptor of the population most likely to be exposed and/or susceptible to soil contamination. Secondly, the likelihood of potential hazards was calculated by using a Voting Analytic Hierarchy Process (VAHP), which was useful for prioritizing and generally distinguishing potential hazards from more likely to least likely threats. On the subject of DSS validation, most of the participants reported that they found DSS easy to use. They were also positive about the level and quality of information and knowledge provided by the decision support system. In particular, they found it to be helpful for the preliminary risk assessment process of brownfield site. Finally, it is anticipated that, with some modifications, the DSS Tool could become a commercially viable interface

@grogest_Ambiental: a web-based decision support system for agribusiness.

In agribusiness, the treatment and sustainable management of waste in intensive production systems must consider productivity and economic gains in the short term and the sustainability of agricultural production. The acquisition of technical information, and the knowledge about the characteristics of the rural property, are fundamental for stakeholders, especially considering the adequacy of sustainable environmental practices. It is necessary to provide a web-based system to support stakeholders in discovering and understanding their productive context. This paper proposes a solution to support stakeholders? decision-making to improve sustainable practices in agribusiness. The proposed solution is applied in the agricultural domain, focusing on sustainability, by implementing a web system supported by an ontology to organize and provide strategic information through a mobile app. Technical and regulatory environmental practices documents are recommended for a relevant context, considering a feasibility study with experts in the field. As a result, the approach provided decision-making support offering technical information efficiently and agile for stakeholders.WebMedia 2021

A WEB-BASED DECISION SUPPORT SYSTEM FOR THE QUALITY OF BIODIESEL

ABSTRACTThe main objectives of this research was to create a model of decision support systems for small industry of biodiesel that can be easier for biodiesel processors to manufacture biodiesel in accordance with standards. A web-based decision support systems for the quality of biodiesel models consisted of four models, namely the determination of biodiesel processing model producing  the best decision in accordance with the characteristic of raw materials, the calculation the needs of additional ingredient in the biodiesel processing model producing the decision for the needs of the process, the determination of quality product model that produces the decision in accordance with quality standards, and analysis on the incompatibility of biodiesel quality model that generates suggestions for the user. The methodology used in this research was decision tree and rules based expert system. This research resulted in a simulation of web-based decision support systems for the biodiesel quality that aims to facilitate the processing of biodiesel, especially for small industries in producing biodiesel, and biodiesel that produced in accordance with the standard (SNI). Keywords: decision support systems, biodiesel, web-based, qualit

A WEB-BASED DECISION SUPPORT SYSTEM FOR THE QUALITY OF BIODIESEL

ABSTRACTThe main objectives of this research was to create a model of decision support systems for small industry of biodiesel that can be easier for biodiesel processors to manufacture biodiesel in accordance with standards. A web-based decision support systems for the quality of biodiesel models consisted of four models, namely the determination of biodiesel processing model producing  the best decision in accordance with the characteristic of raw materials, the calculation the needs of additional ingredient in the biodiesel processing model producing the decision for the needs of the process, the determination of quality product model that produces the decision in accordance with quality standards, and analysis on the incompatibility of biodiesel quality model that generates suggestions for the user. The methodology used in this research was decision tree and rules based expert system. This research resulted in a simulation of web-based decision support systems for the biodiesel quality that aims to facilitate the processing of biodiesel, especially for small industries in producing biodiesel, and biodiesel that produced in accordance with the standard (SNI). Keywords: decision support systems, biodiesel, web-based, qualit

A web-based Decision Support System (DSS) to assist SMEs to broker risks and rewards for BIM adoption

Building Information Modelling (BIM) usage in the UK’s construction industry has recorded a significant increase over the last few years. However, available evidence suggests that BIM adoption amongst larger construction firms and innovators seems be dominant, while the uptake of BIM by Small and Medium Sized enterprises (SMEs) remains relatively poor. Consequently, SMEs are currently lagging behind and are losing out in winning publicly funded projects. SMEs have not fully recognised the benefits of using BIM in project delivery. Guidance and frameworks to assist SMEs to make an informed decision about BIM adoption are currently lacking. It appears that SMEs are yet to be convinced that BIM is beneficial to them, and remain concerned about the potential risks to their business. Guidance and frameworks to assist SMEs in making an informed decision about BIM adoption are currently lacking.This study seeks to bridge this gap and provide a decision-support system (DSS) to assist in the analysis of the risks and rewards of adopting BIM by SMEs, in project delivery. As a result, a conceptual framework was developed to give a theoretical foundation to the study of brokering risks and rewards in the adoption of BIM for project delivery. This framework is comprehensive and includes trading off risks and rewards associated with several criteria, such as stage of involvement, project value, funding, and the procurement route chosen. The approach was validated by a representative sample of BIM users. The results of the validation of the framework provided an informed basis for the development of the DSS. The latter was validated by a sample of SMEs, according to several criteria such as ease of use of the Graphical user interface (GUI), quality of information, level of information presented, trading off risks and rewards of adoption of BIM in project delivery.The findings of the framework validation revealed that early design stage, project size between £5m and £50m, private funding, and integrated project delivery procurement are the best opportunities that enable SMEs to maximise the benefits and minimise the risks, when adopting BIM. Regarding the DSS validation, most participants reported that they had found the DSS easy to use, especially the GUI. They were also positive about the level and quality of information and knowledge provided by the DSS. In particular, they found the DSS informative to broker risks and rewards for BIM adoption

Decision support evaluation for building information modeling software selection

Building Information Modeling (BIM) has shift the construction industry into a new approach in development of project.The effectiveness of BIM towards increasing productivity and quality of project has been reported not only in literature yet project report.Thus, there are numerous of BIM software available with different features and function.This trend has created decision problem among the companies to select the best software that fulfill company need and project needs.Hence, a web-based Decision Support System (DSS) application namely topsis4BIM has been developed.This paper presented the evaluation the proposed DSS though using the latest technology such as web 2.0 and cloud technology