scholarly journals Evaluation of a decision support system for precision feeding of gestating sows

2020 ◽  
Vol 98 (9) ◽  
Author(s):  
Charlotte Gaillard ◽  
Nathalie Quiniou ◽  
Raphaël Gauthier ◽  
Laetitia Cloutier ◽  
Jean-Yves Dourmad
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Mixed Model ◽  
Growing Pigs ◽  
Nitrogen And Phosphorus ◽  
Amino Acid Requirement ◽  
Dietary Phosphorus ◽  
Feed Cost ◽  
The Impact

Abstract Precision feeding (PF) with the daily mixing of 2 diets with different lysine content (high (H) or low (L)) was previously reported for growing pigs to reduce protein intake and N excretion compared with a conventional feeding (CF) based on a single diet (C). Using a simulation approach based on farm data, the objective of the present paper was to describe and evaluate a decision support system for the PF of gestating sows allowing the daily distribution of a tailored ration to each sow. Two datasets, 1 of 2,511 gestations (farm A) and 1 of 2,528 gestations (farm B), reporting sows’ characteristics at insemination and objectives at farrowing were used as inputs for a Python model. This model, mainly based on InraPorc, calculates the nutrient requirements of each sow over gestation and simulates the impact of PF in comparison to CF. Simulated diets L, H, and C contained 3.0, 6.5, and 4.8 g/kg of standardized ileal digestible lysine (SID Lys) and 2.0, 3.3, and 2.5 g/kg of standardized total tract digestible phosphorus (STTD-P), respectively. The influence of farm, parity, gestation week, and their interactions, on calculated SID Lys and STTD-P requirements was analyzed applying a mixed model. The calculated SID Lys and STTD-P requirements increased markedly in the last third of gestation (P < 0.01) and were higher for primiparous than for multiparous sows, unless after week 14 for STTD-P requirement. The calculated SID AA and mineral requirements were lower for farm B than farm A (respectively, 2.94 vs. 3.08 g/kg for SID Lys and 1.30 vs. 1.35 g/kg for STTD-P, P < 0.01). On average, feed L represented 86% and 92% of the feed projected to be delivered by the PF strategy in farms A and B, respectively. Compared to CF, average calculated dietary SID Lys content was lowered by 27% and 32% with PF, for farms A and B, respectively, while average calculated dietary phosphorus content was lowered by 13% and 16%. The simulated proportions of sows in excess and deficient in SID Lys were reduced with PF. Compared to CF, the PF strategy allowed for a 3.6% reduction in simulated feed cost per sow during gestation, and reduced nitrogen and phosphorus intake (by 11.0% and 13.8%, respectively) and excretion (by 16.7% and 15.4%, respectively). To conclude, these simulations indicate that PF of gestating sow appears to be relevant to meet the amino acid requirement while reducing feed cost, and supplies and excretion of nitrogen and phosphorus.

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 Using machine learning to predict the impact of agricultural factors on communities of soil microarthropods

2005 ◽  
Vol 2 (1) ◽  
Author(s):  
Damjan Demšar ◽  
Sašo Džeroski ◽  
Paul Henning Krogh ◽  
Thomas Larsen
Keyword(s):  
Machine Learning ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Soil Fauna ◽  
Linear Equations ◽  
Sustainable Use ◽  
Individual Species ◽  
Soil Microarthropods ◽  
The Impact

With the newly arisen ecological awareness in the agriculture the sustainable use and development of the land is getting more important. With the sustainable use of soil in mind, we are developing a decision support system that helps making decisions on managing agricultural systems and is able to handle both conventional and genetically modified crops as a part of the ECOGEN project. The decision support system considers economical and agricultural factors and actions including crop selection, crop sequence, pest and weed control actions etc. For such decision support system to work, it needs modules that predict results of different agricultural actions. One of the most important factors for sustainable use and fertility of soil is soil flora and fauna. Any change of that community can influence the short or long term soil fertility and soil usability. With soil fauna being one of the most important factors we first need to model it. However, since the function of the individual species is not known, the only action we have is to try and model the community of soil fauna. We start by modelling the community soil microarthropods. For that goal we used machine learning methods - regression trees, model trees and linear equations. We identified previous crops and time since different kinds of tillage as the most important factors for the community of soil microarthropods.

scholarly journals SUMMARY REQUIRING REGARDLESS OF CREATION DECISION SUPPORT SYSTEM FOR THE DISTRIBUTION CAPABILITIES TO PROVIDE SUFFICIENT EFFICIENCY OF BORDER REGION OF SYSTEMS FOR OPTO-ELECTRONIC SURVEILLANCE

2020 ◽  
Vol 1 (1) ◽  
pp. 81-90
Author(s):  
O. BOROVYK ◽  
◽  
D. BOROVYK ◽  
D. CIMBRIQUE ◽  
◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Surveillance System ◽  
Probabilistic Approach ◽  
Border Region ◽  
Time Periods ◽  
Weather Changes ◽  
The Impact ◽  
Laws Of Distribution

The article is devoted to the substantiation of the choice of the basic methodology for assessing the effectiveness of the optoelectronic surveillance system, which could be taken as the basic model of this system for the distribution of forces and means to ensure a sufficient level of border protection efficiency. taking into account in the specified basic methodology for assessing the effectiveness of the system. As a result of the study it was found that as a basic method of assessing the effectiveness of the optoelectronic surveillance system, it is advisable to adopt a method based on a probabilistic approach to describe the processes that accompany the functioning of the optoelectronic surveillance system. It is also substantiated that the main provisions that need to be taken into account when creating a decision support system for the distribution of forces and means to ensure a sufficient level of border protection in the field of optoelectronic surveillance are: homogeneous in terms of features of technical means of border protection time periods; adequate integrated laws of distribution of time periods, which determine the probability of non-detection of the target to its approach to a given distance by certain technical means of border protection, which are part of the studied system of optoelectronic surveillance; points of "stitching" of various integral laws of distribution at the ends of the specified periods; the impact of weather changes over a period of time, which characterizes the period of the service organization, on the functioning of the system; "Dead" zones, which are dynamically variable depending on the natural and man-made conditions that arise in the area of responsibility.

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