Decision Support System for Assigning Members to Agile Teams

2019 ◽

Vol 12 (2) ◽

pp. 43-60

Author(s):

Fernando Almeida ◽

Diogo Adão ◽

Catarina Martins

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Self Evaluation ◽

Agile Methodologies ◽

Modeling Process ◽

Set Up ◽

Attribution Process ◽

The Impact ◽

Agile Teams

The use of agile methodologies like SCRUM is seen by companies in the software engineering field as a strategic necessity for their competitiveness, which makes them more reactive and dynamic in an increasingly demanding and competitive international market. One of the critical factors in the implementation of a SCRUM environment is the set-up of teams that are simultaneously homogeneous and composed of the best collaborators for each SCRUM role. In this sense, this study describes the modeling process and presents the implementation of a decision support system that can contribute to improving the process of assigning an agile team simultaneously considering the technical and social skills of employees. The results of the study allowed testing the application considering different competencies associated to each Agile position, the impact that the attribution process suffers from oscillations in the process of evaluation and self-evaluation, and the impact in terms of the performance of the inclusion of new collaborators and criteria comparison.

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Methodological Approaches to Regional Socio-Economic System Management

Proceedings of Southwest State University ◽

10.21869/2223-1560-2019-23-6-148-160 ◽

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.

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ACCOUNTING MODEL OF DECISION SUPPORT SYSTEM

Scientific Review: Theory and Practice ◽

10.35679/2226-0226-2020-10-4-612-619 ◽

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.

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

Journal of Environmental Science and Health Part A ◽

10.1080/10934529.2020.1787012 ◽

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

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

Water Science & Technology ◽

10.2166/wst.2009.630 ◽

2009 ◽

Vol 60 (8) ◽

pp. 2077-2084 ◽

Cited By ~ 4

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.

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Clinical Decision Support System for Diabetes Based on Ontology Reasoning and TOPSIS Analysis

Journal of Healthcare Engineering ◽

10.1155/2017/4307508 ◽

2017 ◽

Vol 2017 ◽

pp. 1-14 ◽

Cited By ~ 3

Author(s):

Rung-Ching Chen ◽

Hui Qin Jiang ◽

Chung-Yi Huang ◽

Cho-Tsan Bau

Keyword(s):

Decision Support ◽

Decision Support System ◽

Clinical Decision Support ◽

Support System ◽

Clinical Decision Support System ◽

Recommendation System ◽

Treatment Strategies ◽

Clinical Decision ◽

Antidiabetic Medication ◽

Set Up

Introduction. Although a number of researchers have considered the positive potential of Clinical Decision Support System (CDSS), they did not consider that patients’ attitude which leads to active treatment strategies or HbA1c targets. Materials and Methods. We adopted the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) published to propose an HbA1c target and antidiabetic medication recommendation system for patients. Based on the antidiabetic medication profiles, which were presented by the American Association of Clinical Endocrinologists (AACE) and American College of Endocrinology (ACE), we use TOPSIS to calculate the ranking of antidiabetic medications. Results. The endocrinologist set up ten virtual patients’ medical data to evaluate a decision support system. The system indicates that the CDSS performs well and is useful to 87%, and the recommendation system is suitable for outpatients. The evaluation results of the antidiabetic medications show that the system has 85% satisfaction degree which can assist clinicians to manage T2DM while selecting antidiabetic medications. Conclusions. In addition to aiding doctors’ clinical diagnosis, the system not only can serve as a guide for specialty physicians but also can help nonspecialty doctors and young doctors with their drug prescriptions.

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

International Journal of Strategic Property Management ◽

10.3846/1648715x.2012.722132 ◽

2012 ◽

Vol 16 (4) ◽

pp. 370-391 ◽

Cited By ~ 8

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.

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

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193129403800406 ◽

1994 ◽

Vol 38 (4) ◽

pp. 215-219 ◽

Cited By ~ 1

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.

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