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Uma análise da nova geração de sistemas de apoio à decisão; An analysis of the new generation of decision support systems

Bispo, Carlos Alberto Ferreira
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Dissertação de Mestrado Formato: application/pdf
Publicado em 14/12/1998 PT
Relevância na Pesquisa
85.94%
Nesta dissertação são feitas três abordagens. Na primeira apresentam-se os componentes necessários para que se possa compreender melhor o cenário atual onde se encontram aqueles que são os responsáveis pelo processo decisório nas empresas. São abordados as evoluções do processo decisório e do suporte ao mesmo, suas etapas e os seus fatores de influência. A segunda abordagem é relativa às três ferramentas que constituem a nova geração de Sistemas de Apoio à Decisão. A primeira ferramenta é o data warehouse, um banco de dados específico para propósitos gerenciais e que é independente dos bancos de dados operacionais. A segunda ferramenta é o On-Line Analytical Processing (OLAP) e é utilizada para se realizar análises sofisticadas, que permitem aos seus usuários compreenderem melhor os negócios que são realizados na empresa. A última ferramenta é o data mining que permite que se faça uma análise nos dados armazenados, durante anos, para que se descubram relacionamentos ocultos entres os dados, revelando perfis de compras e de clientes; desta forma, as informações obtidas podem se tornar estratégias de negócios. Com a abordagem destas três novas ferramentas, deseja-se analisar o que existe de mais avançado...

Sistema de apoio à gestão de utilidades e energia: aplicação de conceitos de sistemas de informação e de apoio à tomada de decisão.; Support system for utility and energy management: utilization of information systems and decision support systems concepts.

Rosa, Luiz Henrique Leite
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Dissertação de Mestrado Formato: application/pdf
Publicado em 12/04/2007 PT
Relevância na Pesquisa
85.97%
Este trabalho trata da especificação, desenvolvimento e utilização do Sistema de Apoio à Gestão de Utilidades e Energia - SAGUE, um sistema concebido para auxiliar na análise de dados coletados de sistemas de utilidades como ar comprimido, vapor, sistemas de bombeamento, sistemas para condicionamento ambiental e outros, integrados com medições de energia e variáveis climáticas. O SAGUE foi desenvolvido segundo conceitos presentes em sistemas de apoio à decisão como Data Warehouse e OLAP - Online Analytical Processing - com o intuito de transformar os dados oriundos de medições em informações que orientem diretamente as ações de conservação e uso racional de energia. As principais características destes sistemas, que influenciaram na especificação e desenvolvimento do SAGUE, são tratadas neste trabalho. Além disso, este texto aborda a gestão energética e os sistemas de gerenciamento de energia visando apresentar o ambiente que motivou o desenvolvimento do SAGUE. Neste contexto, é apresentado o Sistema de Gerenciamento de Energia Elétrica - SISGEN, um sistema de informação para suporte à gestão de energia elétrica e de contratos de fornecimento, cujos dados coletados podem ser analisados através do SAGUE. A aplicação do SAGUE é tratada na forma de um estudo de caso no qual se analisa a correlação existente entre o consumo de energia elétrica da CUASO - Cidade Universitária Armando de Sales Oliveira...

Inserção de jogadores virtuais em jogos de papéis para uso em sistemas de apoio à decisão em grupo: um experimento no domínio da gestão de recursos naturais.; Insertion of virtual players in role playing games to use in group decision support systems: an experiment in natural resources management.

Adamatti, Diana Francisca
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Tese de Doutorado Formato: application/pdf
Publicado em 05/06/2007 PT
Relevância na Pesquisa
95.87%
Este trabalho propoe a definicao de uma arquitetura para incorporar jogadores virtuais em uma classe de Sistemas de Apoio a Decisao em Grupos (SADs-G), baseados na utilizacao conjunta de Simulacao Baseada em Multiagentes (MABS) e Jogos de Papeis (RPGs). Estas duas tecnicas, MABS e RPGs, vem sendo utilizadas de forma integrada ha alguns anos devido a capacidade de discussao e aprendizado dos RPG e da capacidade dinamica de MABS. Os jogadores virtuais definidos devem ter a capacidade de tomada de decisao e de comunicacao entre si e com os jogadores reais durante as negociacoes. Os principais aspectos discutidos neste trabalho sao: i) se os jogadores virtuais definidos possuem comportamentos nao-triviais perante aos jogadores reais; ii) se continua ocorrendo o processo de negociacao entre os jogadores, sejam eles reais ou virtuais; iii) se a realizacao de um jogo de forma eletronica (via computador) dificulta a interacao entre os jogadores. De forma a discutir estes aspectos, duas instancias de SADs-G foram implementadas no contexto da Gestao de Recursos Naturais, pois neste dominio o processo de negociacao e extremamente importante e complexo.; This thesis proposes the definition of an architecture to insert virtual players in a particular subclass of Group Decision Support Systems (GDSS)...

Avaliação e modelagem de sistemas de suporte à decisão utilizando reconhecimento de padrões e redes bayesianas; Assessment and modeling of decision support systems using pattern recognition and bayesian networks

Bessani, Michel
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Dissertação de Mestrado Formato: application/pdf
Publicado em 09/02/2015 PT
Relevância na Pesquisa
96.05%
Sistemas de suporte a decisão são utilizados em cenários com incertezas. Uma decisão normalmente é auxiliada por resultados obtidos com ações passadas em problemas semelhantes. Quando um sistema de suporte a decisão incorpora conhecimento específico de uma área, estes recebem o nome de sistemas especialistas. Tal conhecimento especifico é utilizado para inferência juntamente com as informações de entrada a respeito do problema. O objetivo deste trabalho é a avaliação e modelagem de sistemas de auxílio a decisão, foram analisadas duas abordagens para um mesmo problema alvo, sendo uma de gerenciamento do problema e outra de detecção do problema. A abordagem de gerenciamento utiliza redes Bayesianas para modelagem, tanto do conhecimento específico quanto para a inferência. As variáveis utilizadas, as relações de dependência e as probabilidades condicionais entre as variáveis foram extraídas da literatura. A abordagem de detecção do problema utilizou imagens para extração de características seguida de um algoritmo de agrupamento para comparação com a classificação de um especialista. Uma das áreas de aplicação de sistemas especialistas é na área clínica, podendo auxiliar tanto na detecção, diagnóstico e tratamento de doenças. A cárie dental é um problema generalizado que afeta a maioria das pessoas...

Organizational Decision Support Systems

Garrido, Paulo
Fonte: Universidade do Minho Publicador: Universidade do Minho
Tipo: Conferência ou Objeto de Conferência
Publicado em //2009 ENG
Relevância na Pesquisa
96.08%
This paper presents a notion for developing Organizational Decision Support Systems (ODSS). The lens used is to see ODSS as a specialization of Social Decision Support Systems (SDSS) and a generalization of Group Decision Support Systems (GDSS). A unit decision process can be raised by any person in a organizational whole, the organization itself or some sub-organization. The decision process can use a given formalism coherent with the idea that as the contributions from people in the decision process expands, so does the space of available perceptions (P), the space of available actions (A), strategies (S), and options (O), the space of available criteria (C) of valuation of options (V), leading to decision. Atomic decision processes link in the global decision process of the organization. Potential benefits, shortcomings and needed technologies are indicated as well as prospects of development.; Fundação para a Ciência e a Tecnologia (FCT)

A pervasive approach to a real-time intelligent decision support system in intensive medicine

Portela, Filipe; Santos, Manuel Filipe; Vilas-Boas, Marta
Fonte: Springer Publicador: Springer
Tipo: Parte de Livro
Publicado em //2012 ENG
Relevância na Pesquisa
85.94%
The decision on the most appropriate procedure to provide to the patients the best healthcare possible is a critical and complex task in Intensive Care Units (ICU). Clinical Decision Support Systems (CDSS) should deal with huge amounts of data and online monitoring, analyzing numerous parameters and providing outputs in a short real-time. Although the advances attained in this area of knowledge new challenges should be taken into account in future CDSS developments, principally in ICUs environments. The next generation of CDSS will be pervasive and ubiquitous providing the doctors with the appropriate services and information in order to support decisions regardless the time or the local where they are. Consequently new requirements arise namely the privacy of data and the security in data access. This paper will present a pervasive perspective of the decision making process in the context of INTCare system, an intelligent decision support system for intensive medicine. Three scenarios are explored using data mining models continuously assessed and optimized. Some preliminary results are depicted and discussed.; Fundação para a Ciência e a Tecnologia (FCT)

Overcoming the lack of human-interaction in Ubiquitous Group Decision Support Systems

Carneiro, João; Santos, Ricardo; Marreiros, Goreti; Novais, Paulo
Fonte: SERSC Publicador: SERSC
Tipo: Conferência ou Objeto de Conferência
Publicado em //2014 ENG
Relevância na Pesquisa
95.97%
The market globalization and the firms internationalization hinders the matching of the top managers agenda. Therefore, creating conditions for meetings in the same space or time is sometimes impossible. In order to enable the decision making in this kind of scenario the Group Decision Support Sys-tems evolved to the so called Ubiquitous Group Decision Support Systems (UbiGDSS). However, although the UbiGDSS solve part of space-time prob-lems, they originated other problems related to the lack of human interaction, such as: to understand how the arguments used can influence each of the deci-sion makers, what is their satisfaction regarding the decision made, and other affective issues such as emotions and mood. Here we propose a theoretical model that is specially designed for agents in order to understand the interac-tions impact on each agent and their satisfaction with the decision made.

Decision Support Systems in Agriculture, Food and the Environment: Trends, Applications and Advances

Almeida Ribeiro, Nuno; Surový, Peter; Cipriano Pinheiro, António
Fonte: Information Science Reference (Inprint of IGI Global) Publicador: Information Science Reference (Inprint of IGI Global)
Tipo: Parte de Livro Formato: 118781 bytes; application/pdf
ENG
Relevância na Pesquisa
95.96%
As national and international concern over sustainable resources becomes more prevalent, the need for decision support systems (DSS) increases. The applicable uses of a successful system can assist in the sustainability of resources, as well as the efficiency and management of the agri-environment industry. Decision Support Systems in Agriculture, Food and the Environment: Trends, Applications and Advances presents the development of DSS for managing agricultural and environmental systems, focusing on the exposition of innovative methodologies, from web-mobile systems to artificial intelligence and knowledge-based DSS, as well as their applications in every aspect from harvest planning to international food production and land management. This book provides an in depth look into the growing importance of DSS in agriculture.

Data driven decision support systems as a critical success factor for IT-Governance: an application in the financial sector

Costa, João Filipe Marques
Fonte: Instituto Universitário de Lisboa Publicador: Instituto Universitário de Lisboa
Tipo: Dissertação de Mestrado
Publicado em 12/08/2011 ENG
Relevância na Pesquisa
96%
Mestrado em Sistemas Integrados de Suporte Decisão; IT-Governance has a major impact not only on IT management but also and foremost in the Enterprises performance and control. Business uses IT agility, flexibility and innovation to pursue its objectives and to sustain its strategy. However being it more critical to the business, compliance forces IT on the opposite way of predictability, stability and regulations. Adding the current economical environment and the fact that most of the times IT departments are considered cost centres, IT-Governance decisions become more important and critical. Current IT-Governance research and practise is mainly based on management techniques and principles, leaving a gap for the contribution of information systems to IT-Governance enhancement. This research intends to provide an answer to IT-Governance requirements using Data Driven Decision Support Systems based on dimensional models. This seems a key factor to improve the IT-Governance decision making process. To address this research opportunity we have considered IT-Governance research (Peter Weill), best practises (ITIL), Body of Knowledge (PMBOK) and frameworks (COBIT). Key IT-Governance processes (Change Management, Incident Management, Project Development and Service Desk Management) were studied and key process stakeholders were interviewed. Based on the facts gathered...

The use of analytical hierarchy process in spatial decision support system for land use management

Carrilho, Miguel Antão de Praetere
Fonte: Universidade Nova de Lisboa Publicador: Universidade Nova de Lisboa
Tipo: Dissertação de Mestrado
Publicado em 27/02/2015 ENG
Relevância na Pesquisa
86.06%
Geographic information systems give us the possibility to analyze, produce, and edit geographic information. Furthermore, these systems fall short on the analysis and support of complex spatial problems. Therefore, when a spatial problem, like land use management, requires a multi-criteria perspective, multi-criteria decision analysis is placed into spatial decision support systems. The analytic hierarchy process is one of many multi-criteria decision analysis methods that can be used to support these complex problems. Using its capabilities we try to develop a spatial decision support system, to help land use management. Land use management can undertake a broad spectrum of spatial decision problems. The developed decision support system had to accept as input, various formats and types of data, raster or vector format, and the vector could be polygon line or point type. The support system was designed to perform its analysis for the Zambezi river Valley in Mozambique, the study area. The possible solutions for the emerging problems had to cover the entire region. This required the system to process large sets of data, and constantly adjust to new problems’ needs. The developed decision support system, is able to process thousands of alternatives using the analytical hierarchy process...

Knowledge engineering complex decision support system in managing rheumatoid arthritis.

Pan, Ning
Fonte: Universidade de Adelaide Publicador: Universidade de Adelaide
Tipo: Tese de Doutorado
Publicado em //2010
Relevância na Pesquisa
85.97%
Background: The management of rheumatoid arthritis (RA) involves partially recursive attempts to make optimal treatment decisions that balance the risks of the treatment to the patient against the benefits of the treatment, while monitoring the patient closely for clinical response, as inferred from prior and residual disease activity, and unwanted drug effects, including abnormal laboratory findings. To the extent that this process is logical, based on best available evidence and determined by considered opinion, it should be amenable to capture within a Clinical Decision Support Systems (CDSSs). The formalisation of logical transformations and their execution by computer tools at point of patient encounter holds the promise of more efficient and consistent use of treatment rules and more reliable clinical decision making. Research Setting: The early Rheumatoid Arthritis (eRA) clinic of the Royal Adelaide Hospital (RAH) with approximately 20 RA patient visits per week, and involving 160 patients with a median duration of treatment of more than 4.5 years. Methods: The study applied a Knowledge Engineering approach to interpret the complexities of RA management, in order to implement a knowledge-based CDSS. The study utilised Knowledge Acquisition processes to elicit and explicitly define the RA management rules underpinning the development of the CDSS; the processes were (1) conducting a comprehensive literature review of RA management...

Farmer decision-making in rainfed farming systems: the role of consultants, farming systems groups, and decision support systems in Australia

Long, W.; Cooper, I.
Fonte: Springer; United Kingdom Publicador: Springer; United Kingdom
Tipo: Parte de Livro
Publicado em //2011 EN
Relevância na Pesquisa
95.96%
This chapter reviews how farmers in Australia gain information and make decisions about their rainfed farming systems. It examines the roles of consultants, farmer groups and decision support systems (DSS) in assisting farmers as their systems adjust in response to changes in their external environment. A specific DSS, Yield Prophet®, is discussed in terms of its development in conjunction with two farming systems groups and their consultants.; http://trove.nla.gov.au/work/157829293; William (Bill) Long and Ian Cooper

Risk management strategies and decision support systems in agriculture: a study of risk management in rainfed farming systems in Queensland

Nguyen, N.; Wegener, M.; Russell, I.
Fonte: Springer; Germany Publicador: Springer; Germany
Tipo: Parte de Livro
Publicado em //2011 EN
Relevância na Pesquisa
95.98%
Rainfed agricultural production systems in a semi-arid climate operate under high risk. While weather variability is the major source of risk over much of Australia, other sources of risk include finance, markets, human resources, and changes in government policy. Most farmers employ a range of strategies to manage these risks. A comprehensive risk management program has to take many complex interactions into account and decision support systems (DSS) have been designed (as their name suggests) to offer assistance in making some of these decisions. However, DSS are not widely used by farmers as they often address only part of the risk management problem and may do that in a way that is too complex for many farmers to understand. In addition, many farmers believe that their tried and tested strategies for managing risk are satisfactory. For better adoption, each DSS should be easy to use and provide local information. The use of DSS to stimulate discussion and appreciation of the complexity of managing risk by farmers and students of agriculture suggests that ‘discussion support’ might be a more appropriate term. After a series of interactions with a group of rainfed cropping farmers in south-west Queensland, a decision support tool (‘Key to dryland planting decisions’) for rainfed farms in south-west Queensland was developed. It uses Lucid3 software to capture the timing and logic of the decision-making process and structures the process to select preferred crop planting options for both summer and winter planting periods from a wide range of possibilities.; Nam Cao Nguyen...

Designing decision support systems at the interface between complex and complicated domains

Comes, T.; Cavallo, A.
Fonte: AIS Electronic Library; United States Publicador: AIS Electronic Library; United States
Tipo: Conference paper
Publicado em //2013 EN
Relevância na Pesquisa
95.99%
Crises are characterized by complexity, uncertainty and their dynamic evolution. Neither the development of the situation nor the consequences of a decision can be foreseen. Therefore, crisis management requires plans and strategies that are designed to account for lacking information and sudden system changes. With the rise of ICT systems, large amounts of data from heterogeneous sources are available to decision-makers that quickly need to be transformed into understandable and reliable information. Hence, the need arises for support in collecting and processing information that can be used for the continuous revision and updating of plans and strategies as an answer to the uncertainty and complexity that they entail. We build on notions from decision theory, emergency and risk management, complexity science and systems theory to conclude that epistemological pluralism and adequate ad-hoc approaches need to be integrated in the design of decision support systems for crisis and emergency management.; http://amcis2013.aisnet.org/; Tina Comes, Antonella Cavallo

Identifying barriers to implementing a cardiovascular computerised decision support system (CDSS): a Delphi survey.

Wilson, A.; Opolski, M.
Fonte: Radcliffe Publishing Ltd. Publicador: Radcliffe Publishing Ltd.
Tipo: Artigo de Revista Científica
Publicado em //2009 EN
Relevância na Pesquisa
85.94%
PURPOSE: This paper reports an evaluation of stakeholders' perspectives and recommendations for the dissemination of a cardiovascular computerised decision support system (CDSS) program. METHODS: A literature review of dissemination models for health information and decision support aids was undertaken to develop a semi-structured interview protocol outlining a range of dissemination models for distribution. A cross section of eight health professionals and three corporate managers were interviewed to provide as broad a view as possible of eight dissemination models. Data were collected via two questionnaires incorporating the Delphi technique. Perspectives from the corporate managers were collected by telephone interview. RESULTS: Financial incentive was the most highly rated dissemination method, followed by joint promotion with a professional body and undergraduate medical education. The lowest average rating was for dividing the program into separate components. Participants provided five other suggestions for dissemination. Suggestions for further exploration include the development of a multi-professional model comprising two or more approaches that is piloted and evaluated. CONCLUSION: Our results provide beneficial information on the potential dissemination of computer decision support systems to health professionals whose uptake of CDSS has not previously been explored. Whether use of a shared decision aid impacts on the decisions made by health professionals working in a team is...

Decision support system for the diagnosis of schizophrenia disorders

Razzouk,D.; Mari,J.J.; Shirakawa,I.; Wainer,J.; Sigulem,D.
Fonte: Associação Brasileira de Divulgação Científica Publicador: Associação Brasileira de Divulgação Científica
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/01/2006 EN
Relevância na Pesquisa
85.97%
Clinical decision support systems are useful tools for assisting physicians to diagnose complex illnesses. Schizophrenia is a complex, heterogeneous and incapacitating mental disorder that should be detected as early as possible to avoid a most serious outcome. These artificial intelligence systems might be useful in the early detection of schizophrenia disorder. The objective of the present study was to describe the development of such a clinical decision support system for the diagnosis of schizophrenia spectrum disorders (SADDESQ). The development of this system is described in four stages: knowledge acquisition, knowledge organization, the development of a computer-assisted model, and the evaluation of the system's performance. The knowledge was extracted from an expert through open interviews. These interviews aimed to explore the expert's diagnostic decision-making process for the diagnosis of schizophrenia. A graph methodology was employed to identify the elements involved in the reasoning process. Knowledge was first organized and modeled by means of algorithms and then transferred to a computational model created by the covering approach. The performance assessment involved the comparison of the diagnoses of 38 clinical vignettes between an expert and the SADDESQ. The results showed a relatively low rate of misclassification (18-34%) and a good performance by SADDESQ in the diagnosis of schizophrenia...

Multi-criteria decision analysis in spatial decision support: the ASSESS analytic hierarchy process and the role of quantitative methods and spatially explicit analysis

Hill, Michael John; Braaten, Robert; Veitch, Simon M; Lees, Brian G; Sharma, Sunil
Fonte: Pergamon-Elsevier Ltd Publicador: Pergamon-Elsevier Ltd
Tipo: Artigo de Revista Científica
Relevância na Pesquisa
86.03%
Decision support systems (DSS) that are simple, spatial, flexible, non-deterministic and have a long track record of practical application in a policy environment have until recently been uncommon. There has been a rapid expansion in the development and description of both quantitative and soft system methods that can be applied to decision-making processes and many of these have application in the spatial domain. This paper examines the case for inclusion of new methods in spatial systems for multi-criteria decision analysis (MCDA) in the context of the history and application of ASSESS (A System for Selecting Suitable Sites). As a spatial implementation of the Analytic Hierarchy Process (AHP), ASSESS has been used extensively for MCDA in a policy environment, but has not previously been described in peer-reviewed literature. ASSESS provides an interface in the ArcInfo Grid GIS environment that accesses GIS functionality and enables simple linear addition and combination of data layers, quantised into rankings from 1 to 5 corresponding to suitable/good to unsuitable/bad, for the development of output scenarios that may be constructed from different user viewpoints. Results from assessment of catchment condition for the intensive land use zone of Australia are used to illustrate issues surrounding incorporation of new methods and spatially explicit operations into the simple ASSESS AHP MCDA process. The knowledge and methods base is outlined diagrammatically using AHP MCDA as the core process...

User participation in decision support systems development: influencing system outcomes

Lynch, Teresa; Gregor, Shirley
Fonte: Palgrave Macmillan Ltd Publicador: Palgrave Macmillan Ltd
Tipo: Artigo de Revista Científica
Relevância na Pesquisa
95.96%
Despite the widely held view that systems are more likely to be successful if users are involved during systems development, there is uncertainty about the exact nature of the relationship between user participation and system outcomes. There has been considerable research activity in this area but findings are inconclusive. Comparatively little qualitative research has been reported. This paper reports an interpretive study that examined the development process for 38 decision support systems in the Australian agricultural sector. The relationship between user participation and system outcome was explored. The degree of user influence in the design process was found to be an important component of this relationship. Degree of user influence was a result of both the type and depth of user participation. Much previous research has focused on whether users were involved in development without detailed consideration of the degree of influence on design features resulting from this participation. The results from this study are significant in that they yield theoretical insights into the phenomenon of user participation and related system outcomes. In addition, the results have practical significance for practitioners developing decision support software.

EXPERTCHOICE© DECISION SUPPORT SYSTEM IMPLEMENTATION FOR VEHICLE SELECTION IN A COLOMBIAN SHIPYARD

ZAPATA CORTES,JULIAN ANDRES; ARANGO SERNA,MARTIN DARÍO; MORENO MARTÍNEZ,SANDRA PATRICIA
Fonte: DYNA Publicador: DYNA
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/06/2012 EN
Relevância na Pesquisa
85.94%
This article shows the application of the decision support system (DSS) Expertchoice© for pick-up truck selection in a colombian shipyard company. The article begins with a description of such decision support systems, followed by a market availability analysis of such systems, and finally presents the application of the DSS Expertchoice© for pick-up truck selection in the company studied.

Role of automation agents in agribusiness decision support systems

Pavlovic,Martin; Koumboulis,Fotis N.; Tzamtzi,Maria P.; Rozman,Crtomir
Fonte: Colegio de Postgraduados Publicador: Colegio de Postgraduados
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/12/2008 EN
Relevância na Pesquisa
96%
Various automation agents can be embedded in a modern Decision Support System in agriculture, based on the following design approaches: E-Learning Agent, Monitoring Agent, Fault Diagnosis Agent, Weather Information Agent, E-Commerce Agent and Logistics Agent. The proposed Agents contribute to farmers' education, to timely correct fault diagnosis and the incorporation of modern agricultural techniques. Moreover, they allow processing historical data, while taking into account several factors in order to support decision making. The preliminary Automation Agents for Decision Support Systems (AADSS) model idea may be applied to various agribusiness activities on international level. Moreover, an operator agent is proposed, that exploits technological and economic information gathered from all the aforementioned Automation Agents in order to make decisions regarding the proposal of possible scenarios in a chain of raw material production to a final product. An initiative to develop and introduce stepwise a model for hop industry decision support system with embedded automation agents has been launched within the International Hop Growers' Convention (IHGC). It is intended to support growers, merchants and brewers through their various decision making activities in agribusiness. The first concept results validate the application of a model for future research.