scholarly journals Incident Occurrence Modeling during Hurricane Evacuation Events: The Case of Alabama's I-65 Corridor

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Daniel J. Fonseca ◽  
Yingyan Lou ◽  
Gary P. Moynihan ◽  
Saravanan Gurupackiam
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Travel Demand ◽  
Hurricane Evacuation ◽  
Impact Area ◽  
Efficient Planning ◽  
Evacuation Routes ◽  
The University ◽  
The Impact

Contraflow on major evacuation routes is one scheme that has been adopted in many Gulf and eastern coastal states for hurricane evacuation. The idea is to reverse one direction of the roadway in order to accommodate the often substantially increased travel demand moving away from the impact area. Efficient planning and operation is critical to a successful contraflow implementation. Alabama has an approximately 140-mile contraflow segment on I-65 between exit 31 and exit 167 and has carried out contraflow operations several times in past hurricane evacuations. The timing for the deployment of equipment and personnel and the initiation and termination of actual contraflow affects the effectiveness, safety, and cost of the operation. Researchers from the University of Alabama were tasked with the design of a decision support system for contraflow evacuation planning. The conceived decision support system consists of three main modules: the demand module, the network optimization module, and the incident and characterization module. This paper focuses on the design of the traffic incident generation and characterization module of the planned decision support system.

SISTEM PENDUKUNG KEPUTUSAN UNTUK PEMBERIAN BEASISWA “PROGRAM JONT DEGREE” UNIVERSITAS BHAYANGKARA SURABAYA MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP)

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Alek Siswanto ◽  
Syariful Alim
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Communication Skill ◽  
Degree Program ◽  
Skill Test ◽  
Scholarship Recipients ◽  
The University ◽  
Hierarchy Process

Grant scholarships to students are conducted by the University based on the achievements achieved. Since the last few years Bhayangkara University has run a Joint Degree Program scholarship in cooperation with Thailand, India, and plans to continue to the Netherlands. In scholarship grants, the Universityoften finds it difficult to determine the scholarship recipients, so it is found that scholarships are not accurate due to the manual system for the awarding of scholarships. The decision support system is an information system aimed at assisting the University in solving the problem of awarding Joint Degree Program scholarship. One method that can be used in decision support systems is Analitycal Hierarchy Process (AHP). The Analytical Hierarchy Process (AHP) method takes into account the extent of validity to the extent of inconsistency tolerance of the various criteria and alternatives chosen by the decision maker. In this research, the data used is UBHARA student data 3 last generation. The criteria used are GPA, TOEFL score, TPA Test Score, and Value of Communication Skill Test. From the results of experiments carried out the results of manual calculations of the application and manual calculations from the Institute of Cooperation get a presentation 100% equation in determining scholarship recipients. So as to produce the ranking of students, two students with the highest score in each department that will get a Joint Degree Program scholarship.Keywords: Scholarship, Student, Analytical Hierarchy Process (AHP), Decision Support System.

scholarly journals Methodological Approaches to Regional Socio-Economic System Management

2020 ◽  
Vol 23 (6) ◽  
pp. 148-160
Author(s):  
E. A. Averchenkova
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Economic System ◽  
Support System ◽  
Feedback System ◽  
Management Theory ◽  
Practical Implementation ◽  
System Management ◽  
Management Decisions ◽  
The Impact

Purpose of research. This paper is a description of the methodology for regional socio-economic system management based on the principles and concepts of management theory. Methods. A methodology for regional socio-economic system managing has been developed, taking into account the impact of National projects and the influence of the external environment. The methodology consists of six stages and fourteen techniques that allow describing the regional socio-economic system management in terms and tools of the management theory: the region itself is considered as an object of management experiencing a controlling action formed under some affecting influence. The methodology also assumes the formalization of a negative feedback system and a control system in the developed model of regional socio-economic system management. Results. The methodology of managing the regional socio-economic system can be used in the management process. Those who make management decisions at the regional level usually rely on their own professional skills, past experience, and intuition. However, the heuristic approach to regional management can be extended by the capabilities of the developed methodology, the practical implementation of which can be presented as a decision support system. This will allow regional governments to improve the effectiveness of management decisions based on monitoring the state of socio-economic systems. Conclusion. The methodology for managing the regional socio-economic system provides a complete management cycle: from the formalization of basic concepts to the description of the control and feedback system. The information implementation of the methodology is presented in the form of an automated product – a decision support system - that can be used in the formation of an automated workplace for civil servants. 

ACCOUNTING MODEL OF DECISION SUPPORT SYSTEM

2020 ◽  
Vol 10 (4) ◽  
pp. 612-619
Author(s):  
P.E. Shumilin ◽  
◽  
V.A. Eremenko ◽  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Financial Stability ◽  
Primary Data ◽  
Management Decision ◽  
Corporate Management ◽  
Managerial Decisions ◽  
Accounting Model ◽  
The Impact

The digital development of the economy opens up new horizons for accounting. On the one hand, dissolution of accounting in corporate management systems takes place, on the other hand, the accounting functions for managing economic information remain relevant. This article uses the accounting modeling method. We offer a five-blocks accounting model of the decision support system. The model is formed by such blocks as the interface for collecting primary data on company transactions in the context of the formation of financial, managerial, strategic accounting accounts, ETL (extract, transform, loading) of processes for combining credentials from various sources within the framework of a structured work plan of accounts; predicted accounting iterations, having a synergistic, reorganization, reorganization, immunization, hedging and other areas; express audit of the management decision, which consists in assessing the impact of the management decision on the effectiveness of the company, which includes such elements as tax and legal expertise; SWOT analysis; reporting visualization tools that allow you to generate different types of reporting: financial, managerial, statistical, not just in tabular form, but using digital visualization methods; accounting and analytical indicators of managerial decisions, which can be described as a system of indicators reflecting the financial and economic situation of the enterprise under the influence of managerial decisions; the state of its financial stability, profitability, solvency, liquidity; the size of the property of the founders. The introduction and use of this model will allow generating relevant accounting information based on the needs of management, supporting the adoption of management decisions at a scientifically sound level that meets the criteria of business efficiency and protect the interests of owners.

Decision support system for NPK fertilization: a solution method for minimizing the impact on human health, climate change, ecosystem quality and resources

2020 ◽  
Vol 55 (11) ◽  
pp. 1267-1282
Author(s):  
Ramiro Meza-Palacios ◽  
Alberto A. Aguilar-Lasserre ◽  
Luis F. Morales-Mendoza ◽  
José O. Rico-Contreras ◽  
Luis H. Sánchez-Medel ◽  
...  
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Decision Support System ◽  
Human Health ◽  
Support System ◽  
Solution Method ◽  
Ecosystem Quality ◽  
The Impact ◽  
Npk Fertilization

Gold coast seaway smartrelease decision support system: optimising recycled water release in a sub tropical estuarine environment

2009 ◽  
Vol 60 (8) ◽  
pp. 2077-2084 ◽  
Author(s):  
G. Stuart ◽  
A. Hollingsworth ◽  
F. Thomsen ◽  
S. Szylkarski ◽  
S. Khan ◽  
...  
Keyword(s):  
Water Quality ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Numerical Models ◽  
Water Levels ◽  
Gold Coast ◽  
Recycled Water ◽  
Water Release ◽  
The Impact

Gold Coast Water is responsible for the management of the water, recycled water and wastewater assets of the City of the Gold Coast on Australia's east coast. Excess treated recycled water is released at the Gold Coast Seaway, a man-made channel connecting the Broadwater Estuary with the Pacific Ocean, on an outgoing tide in order for the recycled water to be dispersed before the tide changes and re-enters the Broadwater estuary. Rapid population growth has placed increasing demands on the city's recycled water release system and an investigation of the capacity of the Broadwater to assimilate a greater volume of recycled water over a longer release period was undertaken in 2007. As an outcome, Gold Coast Water was granted an extension of the existing release licence from 10.5 hours per day to 13.3 hours per day from the Coombabah wastewater treatment plant (WWTP). The Seaway SmartRelease Project has been designed to optimise the release of the recycled water from the Coombabah WWTP in order to minimise the impact to the receiving estuarine water quality and maximise the cost efficiency of pumping. In order achieve this; an optimisation study that involves intensive hydrodynamic and water quality monitoring, numerical modelling and a web-based decision support system is underway. An intensive monitoring campaign provided information on water levels, currents, winds, waves, nutrients and bacterial levels within the Broadwater. This data was then used to calibrate and verify numerical models using the MIKE by DHI suite of software. The Decision Support System will then collect continually measured data such as water levels, interact with the WWTP SCADA system, run the numerical models and provide the optimal time window to release the required amount of recycled water from the WWTP within the licence specifications.

scholarly journals MULTIPLE CRITERIA DECISION SUPPORT SYSTEM FOR THE ASSESSMENT OF ENERGY GENERATION TECHNOLOGIES CONSIDERING THE DIMENSION OF VALUES

2012 ◽  
Vol 16 (4) ◽  
pp. 370-391 ◽  
Author(s):  
Jūratė Šliogerienė ◽  
Artūras Kaklauskas ◽  
Dalia Štreimikienė ◽  
Massimo Bianchi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Community Involvement ◽  
Health And Safety ◽  
Energy Generation ◽  
Qualitative Assessment ◽  
Integrated Analysis ◽  
Expert Decision Support System ◽  
The Impact

Comprehension of the effect of energy generation technologies on the natural environment, human health and safety leads to a new and responsible approach to the choice and development of technologies. When it comes to preparing energy growth scenarios and handling issues related to the choice and assessment of technologies, environmental studies must be in a particular spotlight. One way to make quantitative and qualitative assessment of the effect of technologies on the environment is through a thorough integrated analysis, which, in addition to economic and technical solutions, also considers other aspects of concern to the public. A changed environment demands for systems of criteria which help consider its changes, the attitudes of the general public, public sentiments toward the effect of technologies, public values and community involvement in the process of important decision-making. The article examines how the dimension of values affects the analysis of the impact of environmental factors on the value of energy generation technologies. It presents a set of criteria for the assessment of energy generation technologies; the set, in addition to technological, economic and environmental criteria, includes criteria which reflect the values. The article also introduces the expert decision support system EGTAV-SPS, which helped assess the effect of environment on energy production technologies.

The Impact of Group Decision Support Systems on Group Consensus Processes and Outcomes

1994 ◽  
Vol 38 (4) ◽  
pp. 215-219 ◽  
Author(s):  
Suvit Nopachai ◽  
Sherry Perdue Casali
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Group Decision ◽  
Group Decision Support ◽  
Decision Quality ◽  
Group Decision Support System ◽  
Group Consensus ◽  
The Impact ◽  
Consensus Decision

An experiment was conducted to examine how the use of a group decision support system (GDSS) influences the formation of group consensus. In a task requiring group members to jointly prioritize a list of items, 12 groups of eight members each were randomly assigned to one of three experimental conditions involving different levels of technological meeting support: (1) a group decision support system, (2) a manual counterpart to the structure imposed by the GDSS, and (3) no structured support. Measures of group consensus and perceived consensus, decision quality and perceived decision quality, and perceived opportunity to express views were made. The results revealed that the measures of consensus, decision quality and perceived decision quality, and perceived opportunity to express views were all similar across the three levels of technology investigated. Only perceived consensus was found to vary across conditions. The practical implications of these results are discussed.

scholarly journals The Impact of Cloud Computing on Decision Support System in Adopting Knowledge Management in Saudi Organizations

2019 ◽  
Vol 12 (25) ◽  
pp. 1-8
Author(s):  
Bader A. Alyoubi ◽  
Adel A. Alyoubi ◽  
Haneen H. Alahmadi ◽  
Najah K. Almazmomi ◽  
◽  
...  
Keyword(s):  
Cloud Computing ◽  
Knowledge Management ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
The Impact

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PENERIMA BEASISWA BIDIKMISI MENGGUNAKAN METODE SMART

JURTEKSI ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 285-292
Author(s):  
Sukamto Sukamto ◽  
Yanti Andriyani ◽  
Ayu Lestari
Keyword(s):  
Experimental Data ◽  
Decision Support ◽  
Decision Support System ◽  
Programming Language ◽  
Support System ◽  
Evaluation Process ◽  
Web Based ◽  
Scholarship Recipients ◽  
Uml Diagrams ◽  
The University

Abstract: Scholarships are provided selectively according to the type of learning held. There are so many scholarships offered to students who are outstanding and poor, one of which is the scholarship provided by the University of Riau, named Bidikmisi scholarship. The evaluation process of prospective scholarship recipients is carried out by the committee directly and is still done manually. So that it allows the creation of a support system for the decision to accept Bidikmisi scholarships using the smart web-based method. The system created, designed using UML diagrams, the system has made using the PHP programming language and database. The resulting system can process  using ten experimental data obtained a sequence of values from highest to smallest, with the highest amount of 0.75.            Keywords: Bidikmisi; Decision Support System; Scholarship; Smart Method.  Abstrak: Pemberian beasiswa dilakukan secara selekif sesuai dengan jenis beasiswa yang diadakan. Banyak sekali beasiswa yang ditawarkan kepada mahasiswa yang berprestasi dan kurang mampu, salah satunya beasiswa yang ditawarkan universitas riau yaitu beasiswa bidikmisi. Proses Penilaian calon penerima beasiswa dilakukan oleh panitia secara langsung dan masih dilakukan secara manual. Sehingga memungkinkan dibuatnya suatu sistem pendukung keputusan penerimaan beasiswa bidikmisi menggunakan metode smart berbasis web. Sistem yang dibuat, dirancang menggunakan UML diagram, pembuatan sistem menggunakan bahasa pemrograman PHP dan database. Sistem yang dihasilkan mampu mengolah data mahasiswa, mengolah data calon penerima untuk dihitung dan laporan jumlah calon penerima yang diterima dan ditolak. Hasil akhir dengan menggunakan 10 data percobaan diperoleh urutan nilai dari yang tertinggi sampai terkecil, dengan nilai tertinggi 0,75. Kata kunci: Beasiwa; Bidikmisi; Sistem Pendukung Keputusan; Smart. 

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