Decision Support System for the Production of Miscanthus and Willow Briquettes

The biomass is regarded as a part of renewable energy sources (RES), which can satisfy energy demands. Biomass obtained from plantations is characterized by low bulk density, which increases transport and storage costs. Briquetting is a technology that relies on pressing biomass with the aim of obtaining a denser product (briquettes). In the production of solid biofuels, the technological as well as material variables significantly influence the densification process, and as a result influence the end quality of briquette. This process progresses differently for different materials. Therefore, the optimal selection of process’ parameters is very difficult. It is necessary to use a decision support tool—decision support system (DSS). The purpose of the work was to develop a decision support system that would indicate the optimal parameters for conducting the process of producing Miscanthus and willow briquettes (pre-comminution, milling and briquetting), briquette parameters (durability and specific density) and total energy consumption based on process simulation. Artificial neural networks (ANNs) were used to describe the relationship between individual parameters of the briquette production process. DSS has the form of a web application and is opened from a web browser (it is possible to open it on various types of devices). The modular design allows the modification and expansion the application in the future.

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Determining Goods Delivery Priority for Transportation Service Companies Using SAW Method

Journal Of Computer Networks, Architecture and High Performance Computing ◽

10.47709/cnahpc.v3i2.1154 ◽

2021 ◽

Vol 3 (2) ◽

pp. 256-262

Author(s):

Sumaizar Sumaizar ◽

Kalvin Sinaga ◽

Eko Deswin Siringo-ringo ◽

Victor Marudut Mulia Siregar

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

System Approach ◽

Decision Support Tool ◽

Support Tool ◽

Service Companies ◽

Transportation Service ◽

Simple Additive Weighting

This research was conducted aiming to overcome the problem of the effectiveness of the delivery of goods by the Cendrawasi Expeditionary Company which at this time still does not use a decision support system approach. For the process of delivering goods to customers to be carried out effectively, a decision support system is designed that functions to determine the priority of goods to be delivered first. This problem is solved by designing a decision support system using the Simple Additive Weighting (SAW) method which serves to help the Cendrawasi Expeditionary company get recommendations for priority delivery of goods. The SAW method is very appropriate to be used as a decision support tool where in this study three alternative choices of goods that must be delivered first were obtained, namely plywood with a preference value of 99,6, mattress with a preference value of 83,55, and PVC pipes with a preference value of 79,35.

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Applied Study on the Mine Production & Management Decision Support System Based on Data Warehouse

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.102-104.900 ◽

2010 ◽

Vol 102-104 ◽

pp. 900-904 ◽

Cited By ~ 1

Author(s):

Xue Feng Li ◽

Shu Yu Zhong

Keyword(s):

Decision Support ◽

Decision Support System ◽

Data Warehouse ◽

Support System ◽

Production Management ◽

Decision Support Tool ◽

Management Decision ◽

Support Tool ◽

Mine Production ◽

Management Decision Support

With accumulating data in mine production, integration of the existing separate information systems is of great importance in enhancement of both production management and support decision-making. BIStar, a production & management decision support system base on data warehouse technology was developed as a user-friendly data analysis, display and decision support tool, and was presented with illumination of its main framework and detailed discussion of its certain key points of the subsystem, such as data acquisition system, central database system, access tools. An application example of information analysis conducted by a large mine corporation was also cited for analysis of feasibility & cost-effectiveness.

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SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN CALON MAHASISWA BARU JALUR PRESTASI DI SEKOLAH TINGGI TEKNOLOGI ADISUTJIPTO MENGGUNAKAN SIMPLE MULTI ATTRIBUTERATING TECHNIQUE

Angkasa: Jurnal Ilmiah Bidang Teknologi ◽

10.28989/angkasa.v7i2.146 ◽

2017 ◽

Vol 7 (2) ◽

pp. 31

Author(s):

Anton Setiawan Honggowibowo

Keyword(s):

Information Technology ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Decision Support Tool ◽

Educational Institutions ◽

Web Based ◽

Support Tool ◽

New Students

In the era of globalization, educational institutions are required to follow the development of information technology. Information technology required and can be applied as a decision support tool managerial activities at the college. This research aims to develop a decision support system for the Sekolah Tinggi Teknologi Adisutjipto (STTA), namely the acceptance of new students, especially the path of achievement, using the Simple Multi Attribute Rating Technique of Web based, where in the method is choosing alternative criteria that have value and weight has been determined, getting the new students he deserves. Based on the results of testing the system, it was concluded that the method is Simple Multi Attribute Rating Technique is effective enough to be applied in determining the admission of new students in STTA.

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An Innovative Decision Support System to Improve the Energy Efficiency of Buildings in Urban Areas

Remote Sensing ◽

10.3390/rs12020259 ◽

2020 ◽

Vol 12 (2) ◽

pp. 259 ◽

Cited By ~ 4

Author(s):

Małgorzata Sztubecka ◽

Marta Skiba ◽

Maria Mrówczyńska ◽

Anna Bazan-Krzywoszańska

Keyword(s):

Energy Efficiency ◽

Renewable Energy ◽

Decision Support ◽

Geographic Information Systems ◽

Decision Support System ◽

Support System ◽

Urban Areas ◽

Renewable Energy Sources ◽

Decision Makers ◽

Energy Sources

Improving in the energy efficiency of urban buildings, and maximizing the savings and the resulting benefits require information support from city decision-makers, planners, and designers. The selection of the appropriate analytical methods will allow them to make optimal design and location decisions. Therefore, the research problem of this article is the development of an innovative decision support system using multi-criteria analysis and Geographic Information Systems (decision support system + Geographic Information Systems = DGIS) for planning urban development. The proposed decision support system provides information to energy consumers about the location of energy efficiency improvement potential. This potential has been identified as the possibility of introducing low-energy buildings and the use of renewable energy sources. DGIS was tested in different construction areas (categories: A, B, C, D), Zielona Góra quarters. The results showed which area among the 53 quarters with a separate dominant building category was the most favorable for increasing energy efficiency, and where energy efficiency could be improved by investing in renewable energy sources, taking into account the decision-maker. The proposed DGIS system can be used by local decision-makers, allowing better action to adapt cities to climate change and to protect the environment. This approach is part of new data processing strategies to build the most favorable energy scenarios in urban areas.

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Development of a frugal crop planning decision support system for subsistence farmers

10.51415/10321/2928 ◽

2016 ◽

Author(s):

◽

Adam Friedland

Keyword(s):

Information System ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Structural Testing ◽

Strategic Decisions ◽

Subsistence Farmers ◽

Crop Planning ◽

Support Tool ◽

Planning Decision

This dissertation reports on the original study that undertakes the development of a frugal information system to support subsistence farmers through the use of the Agricultural Production Systems Simulator (APSIM) as a support tool to assist them in optimal strategic decisions making. The field of agriculture is vast and in-depth and a number of critical factors like soil type, rainfall and temperature are involved that farmers have to take into account. Farmers persistently face the challenges of increasing and sustaining yields to meet with the populaces demand with often limited resources, which makes strategic decisions on what to plant, when to plant, where to plant and how to plant in a particular season imperative. The way in which this study attempts to solve this agricultural decision making problem is with the use of the APSIM. This technology platform provides an advanced simulation of agricultural systems that can enable subsistence farmers to simulate a number of variables ranging from plant types, soil, climate and even management interactions. This research presents a frugal web-based crop planning decision support system that subsistence farmers can take advantage with the use of the APSIM. The APSIM platform was used to run simulations for various regions with the results containing the expected level of success along with other useful information for a specified crop in the vicinity, using state of the art software platforms and tools ranging from Google Maps application programming interfaces, Microsoft’s model view controller framework, JavaScript and others. The validity of this system was tested through a number of design science methods including structural testing and illustrative scenarios, show capability of the information system. The results obtained from this evaluation show a small but powerful tool that has the capability of servicing a multitude of farmers with crop management decisions.

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A Shoreline Response Program (SRP) Decision Support Tool based on the Geographic Variability in Attenuation and Weathering of Stranded Oil.

International Oil Spill Conference Proceedings ◽

10.7901/2169-3358-2021.1.1141234 ◽

2021 ◽

Vol 2021 (1) ◽

Author(s):

Ed Owens ◽

Elliott Taylor ◽

Chunjiang An ◽

Zhi Chen ◽

George Danner ◽

...

Keyword(s):

Decision Support ◽

Web Application ◽

Treatment Options ◽

Critical Role ◽

Treatment Strategies ◽

Decision Support Tool ◽

Data Bases ◽

Support Tool ◽

Fine Grained ◽

Wide Range

ABSTRACT #1141234 The coastal waters of Canada embrace a wide range of physical environments and ecosystems from the warm, sediment-rich waters of the Bay of Fundy to the nutrient-limited cold waters of the high Arctic. This range of biophysical characteristics impacts natural attenuation and weathering processes for oil stranded on shorelines. This study was conducted to: 1) identify and quantify the primary regional parameters that control shoreline oil translocation (removal) processes and pathways and 2) define the effectiveness and environmental consequences of current and potential oiled shoreline treatment strategies and tactics. A specific knowledge gap, here and elsewhere in the world, has been in understanding how the distribution and character of fine-grained sediments affect stranded oil attenuation. Fine-grained sediments (<1mm) can play a critical role in natural or induced (that is, shoreline treatment) oil dispersal. Shoreline sediment samples were collected and analyzed from representative locations on Arctic, Atlantic, and Pacific Ocean beaches to provide a broad geographic characterization of mineral fines at the regional level. This knowledge is the basis for an “Oiled Shoreline Response Program (SRP) Decision Support Tool” to aid spill scientists, students, environmental resource managers, spill responders and the public in understanding the response methods and the ramifications and consequences of their shoreline treatment options without the need to digest technical papers, large reports, or data bases. This MPRI SRP Decision Support Tool is intended to be a dynamic, interactive, multi-layered, geographically and seasonally-based model for shoreline oil spill response decision analyses. A goal of this interactive model is to move away from the traditional static format of learning from explanations in text reports and publications to an interactive tool that encourages its users to explore and fully understand the significance of the different environmental factors outlined in publications and data bases. Recent advances in web technology make this possible. The development of user interface platforms such as React, libraries such as D3, and notebook forms like Observable has created a palette of technologies that together make web application patterns such as Documodels a much more streamlined development process. The power of this medium is to convey a complex subject and to enable a user to grasp keen insights and so understand the consequences of intervention decisions.

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Implementasi Multi Factor Evaluation Process untuk Penentuan Tempat Pembuangan Akhir Berbasis Web Aplication

EDUMATIC Jurnal Pendidikan Informatika ◽

10.29408/edumatic.v4i2.2635 ◽

2020 ◽

Vol 4 (2) ◽

pp. 103-111

Author(s):

Rahmat Hidayat ◽

◽

Ade Irmayanti ◽

Muhammad Tommy ◽

◽

...

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Web Application ◽

Evaluation Process ◽

Disposal Site ◽

Prototype Model ◽

Initial Weight ◽

Final Disposal ◽

Factor Evaluation

Determining the final waste disposal site is a complex problem for Lamandau Regency, which is a developing district, the more people there are every year, the more waste is produced. However, determining the location is still done subjectively without considering the influencing factors and is still manual. In problems like this, the decision support system can be used as a solution to help make decisions. This study aims to implement a decision support system in determining the final disposal site using the Multi-Factor Evaluation Process (MFEP) method which is applied in the form of a Web Application using a prototype model. In determining the final disposal site, there are 5 criteria to be assessed, namely: Cover Land with an initial weight of 0.2, Rain Intensity with an initial weight of 0.1, Nature Reserve with an initial weight of 0.2, Agriculture with an initial weight of 0.3 and Entrance roads with an initial weight of 0.2, and the number of alternatives consists of 5 locations. The findings show that the error rate of this system is below 5%. After testing all modules or system components, all of them were successful and feasible to be used as a tool in determining the final place of development.

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SMART COVID Navigator: A Clinical Decision Support for COVID-19 (Preprint)

10.2196/preprints.29279 ◽

2021 ◽

Author(s):

Varun Suraj ◽

Catherine Del Vecchio Fitz ◽

Laura B. Kleiman ◽

Jeremy Warner ◽

Gil Alterovitz

Keyword(s):

Decision Support ◽

Clinical Decision Support ◽

Web Application ◽

Decision Support Tool ◽

Clinical Decision ◽

Observational Research ◽

Large Set ◽

Health Records ◽

Support Tool ◽

Research Findings

UNSTRUCTURED The coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has infected 83 million individuals at the time of writing. In this paper, we describe the creation of a clinical decision support tool, the SMART COVID Navigator, a web application to assist clinicians in treating COVID-19 patients. A large volume of research findings from observational studies about disease interactions with COVID-19 are being produced almost daily. Our app allows clinicians to access a patient’s electronic health records and identify disease interactions from a large set of observational research studies that affect severity and fatality due to COVID-19. We also analyze the results of the collected studies to determine which medical conditions result in an increased chance of severity and/or fatality of COVID-19 progression.

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An Environment for Guidelinebased Decision Support Systems for Outpatients Monitoring

Methods of Information in Medicine ◽

10.3414/me16-01-0142 ◽

2017 ◽

Vol 56 (04) ◽

pp. 283-293 ◽

Cited By ~ 3

Author(s):

Giordano Lanzola ◽

Paolo Bossi ◽

Silvana Quaglini ◽

Elisa M. Zini

Keyword(s):

Decision Support ◽

Side Effects ◽

Decision Support System ◽

Mobile Devices ◽

Support System ◽

Mobile Application ◽

Web Application ◽

Mobile Technologies ◽

Specific Patient ◽

Patient Reported

SummaryObjectives: We propose an architecture for monitoring outpatients that relies on mobile technologies for acquiring data. The goal is to better control the onset of possible side effects between the scheduled visits at the clinic.Methods: We analyze the architectural components required to ensure a high level of abstraction from data. Clinical practice guidelines were formalized with Alium, an authoring tool based on the PROforma language, using SNOMED-CT as a terminology standard. The Alium engine is accessible through a set of APIs that may be leveraged for implementing an application based on standard web technologies to be used by doctors at the clinic. Data sent by patients using mobile devices need to be complemented with those already available in the Electronic Health Record to generate personalized recommendations. Thus a middleware pursuing data abstraction is required. To comply with current standards, we adopted the HL7 Virtual Medical Record for Clinical Decision Support Logical Model, Release 2.Results: The developed architecture for monitoring outpatients includes: (1) a guideline-based Decision Support System accessible through a web application that helps the doctors with prevention, diagnosis and treatment of therapy side effects; (2) an application for mobile devices, which allows patients to regularly send data to the clinic. In order to tailor the monitoring procedures to the specific patient, the Decision Support System also helps physicians with the configuration of the mobile application, suggesting the data to be collected and the associated collection frequency that may change over time, according to the individual patient’s conditions. A proof of concept has been developed with a system for monitoring the side effects of chemo-radiotherapy in head and neck cancer patients.Conclusions: Our environment introduces two main innovation elements with respect to similar works available in the literature. First, in order to meet the specific patients’ needs, in our work the Decision Support System also helps the physicians in properly configuring the mobile application. Then the Decision Support System is also continuously fed by patient-reported outcomes.

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