Decision Support System for Designing an Effective Configuration of a Computing Network for Distributed Complex Problem Solving

Author(s):  
Tynchenko Vadim Sergeevich ◽  
Tynchenko Valeriya Valerievna ◽  
Bukhtoyarov Vladimir Viktorovich ◽  
Agafonov Evgeniy Dmitrievich
2005 ◽  
Vol 51 (10) ◽  
pp. 179-186 ◽  
Author(s):  
J. Alemany ◽  
J. Comas ◽  
C. Turon ◽  
M.D. Balaguer ◽  
M. Poch ◽  
...  

The identification of adequate wastewater treatment for small communities is a complex problem since it demands a combination of data from different sources, such as aspects of the community and landscape, the receiving environment and the available wastewater treatment technologies. The Catalan Water Agency (Agència Catalana de l'Aigua) considered using an EDSS (Environmental Decision Support System) as a tool to help water managers select the most adequate treatment for the urban wastewater of nearly 3,500 small communities in Catalonia (Spain). From that moment, EDSS was applied to all the river basins in Catalonia. In this paper the authors present the results obtained for the 76 small communities located in one of these river basins: the Fluvia River Basin. The characteristics of the community used in the reasoning process of the EDSS, the list of selected wastewater treatment alternatives, the technical environmental justification for the selected treatments and the reasons for discarding, favouring or disadvantaging them are presented. Finally, some results for the Fluvia River Basin are compared with those obtained in other Catalan river basins with different characteristics in order to evaluate which are the significant features in identifying adequate wastewater treatments.


Author(s):  
Denny Trias Utomo ◽  
Pratikto ◽  
Purnomo Budi Santoso ◽  
Sugiono

Industry 4.0 is an integration between automation and manufacturing industry which requires the use of information technology to implement it. In the operational management framework, there is a supply chain management function that is strongly influenced by quality suppliers. Because choosing a quality new supplier is not an easy thing, we need a reliable application tool and utilizing web-based artificial intelligence technology for the selection of suppliers in the manufacturing industry. The selection of new suppliers is a complex problem because it involves multiple criteria, therefore it is necessary to make a decision support system that is able to complete supplier selection properly. Although the selection of suppliers in the manufacturing industry is not new, in the era of Industry 4.0, a decision support system that is used to choose an absolute supplier based online that must be accessible via the web or mobile application. Therefore the writer's idea in this paper is very relevant to be implemented in the manufacturing industry in all fields in the industrial era 4.0.


2021 ◽  
Vol 11 (23) ◽  
pp. 11296
Author(s):  
Abdul Mateen ◽  
Seung Yeob Nam ◽  
Muhammad Ali Haider ◽  
Abdul Hanan

In recent years, the cloud computing model has gained increasing attention and popularity in the field of information technology. For this reason, people are migrating their applications to public, private, or hybrid cloud environments. Many cloud vendors offer similar features with varying costs, so an appropriate choice will be the key to guraranteeing comparatively low operational costs for an organization. The motivation for this work is the necessity to select an appropriate cloud storage provider offering for the migration of applications with less cost and high performance. However, the selection of a suitable cloud storage provider is a complex problem that entails various technical and organizational aspects. In this research, a dynamic Decision Support System (DSS) for selection of an appropriate cloud storage provider is proposed. A web-based application is implemented using PHP and MySQL to facilitate decision makers. The proposed mechanism has been optimized in a way that enables the system to address static database issues for which a user might not acquire the best solution. It focuses on comparing and ranking cloud storage providers by using two modules: scraping and parsing. The evaluation of the proposed system is carried out with appropriate test cases and compared with existing tools and frameworks.


2020 ◽  
Vol 4 (1) ◽  
pp. 67-75
Author(s):  
Irmawati Carolina ◽  
Fitra Hariman Hakim ◽  
Adi Supriyatna

Operational Vehicle is one of the assets owned by the company to help transportation that aims to facilitate the carrying out of a job. With the existence of operational vehicles can increase company productivity. The problems that exist in the process of selecting the best operational vehicles are still simple or depend on the company's budget. The purpose of this study is to obtain a decision in determining the selection of operational vehicles using several criteria and can provide solutions to determine the best choice of operational vehicles for company management. The method used by the author is Simple Additive Weighting (SAW) which can help in making decisions to overcome a complex problem. The results of this study are the decision support system can be used as a tool for decision making recommendations for companies in determining the selection of operational vehicles using the Simple Additive Weighting (SAW) method, in addition to providing an alternative form of decision support systems to help and facilitate the company's stakeholders in decide on operational vehicles.Keywords: Decision Support System, Operational Vehicle, SAW Method.


2019 ◽  
Vol 1 (4) ◽  
pp. 197-204
Author(s):  
Tuti Haryanti ◽  
Laela Kurniawati ◽  
Sugeng Riyadi

In the current era, various business process activities require the application of information technology. Decision making is one of the business process activities that can be helped by the existence of technology. Determining poor families is a complex problem because many criteria must be met to determine poor families and deserve assistance in dealing with poverty. Therefore, a decision support system is made using the Weighted Aggregated Sum Product Assessment (WASPAS) method with predetermined criteria and then implemented using Visual Basic .Net. The sample used was 89 residents of Cibangkong Village who were registered to apply for government assistance. The results of the study obtained 12 very poor households, 28 poor households, 38 poor vulnerable households and 11 non-poor households. With a decision support system, the WASPAS method in processing data will be more effective and efficient because of the process of evaluating and making quick reports. Employees only enter population data, criteria data and population assessment data, while the process of calculating and reporting is done by the system.


2020 ◽  
Vol 17 (2) ◽  
pp. 151-156
Author(s):  
Siti Nurlela ◽  
Tuti Kurniawati ◽  
Siti Masturoh ◽  
Widiastuti Widiastuti ◽  
Ade Suryadi

Waru Village is one of the villages in the Bogor Regency area. However, the selection of recipients of the Hope Family Program (PKH) in Waru Village is still subjective/qualitative so that the process of receiving the Hope Family Program (PKH) in Waru Village is not accurate and has not been on target. This makes the need for a method that can manage data on recipients of the Hope Family Program (PKH) and produce a ranking from the calculation of weight for the selection of recipients of the Hope Family Program (PKH). In making decisions about recipients of the Hope Family Program (PKH), there is a Simple Additive Weighting (SAW) method that can be used in quantitative problem-solving. With the SAW method, each criterion is compared with one another to provide results of recipients of the Hope Family Program (PKH) and provide an assessment of each recipient (alternative) of the Hope Family Program (PKH) in Waru Village. This study aims to determine the recipients of the PKH assistance program so that it can produce a decision on recipients of PKH assistance that the government distributes to the Waru village accurately on target.


Author(s):  
Stephanie Guerlain ◽  
Peter Bullemer

Critiquing is a form of decision support whereby a computer system monitors the actions of people to help prevent errors. Critiquing systems developed to date (spell checkers, problem-solving assistants, etc.) traditionally support a single person performing a static, non time-critical task. We have now developed a critiquing system in the more dynamic world of process control. Specifically, we support the execution of complex procedures in petrochemical plants with an on-line, executable dynamic procedures decision support system, where we introduce critiquing as a means to assist teams of operators as they execute procedures in real time.


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