286,380 research outputs found

    Integration of decision support systems to improve decision support performance

    Get PDF
    Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS). This paper reviews the current research efforts with regard to the development of IDSS. The focus of the paper is on the integration aspect for IDSS through multiple perspectives, and the technologies that support this integration. More than 100 papers and software systems are discussed. Current research efforts and the development status of IDSS are explained, compared and classified. In addition, future trends and challenges in integration are outlined. The paper concludes that by addressing integration, better support will be provided to decision makers, with the expectation of both better decisions and improved decision making processes

    Decision support systems

    Get PDF
    Decision Support Systems (DSS) are a specific class of computerized information system that supports business and organizational decision-making activities. A properly-designed DSS is an interactive software-based system intended to help decision makers compile useful information from raw data, documents, personal knowledge, and/or business models to identify and solve problems and make decisions. DSS belong to an environment with multidisciplinary foundations, including database reasearch, artificial intelligence, human computer interaction, simulation methods, software engineering and telecomunicationdecision support system, decision makers, computer-based

    Autoencoders for strategic decision support

    Full text link
    In the majority of executive domains, a notion of normality is involved in most strategic decisions. However, few data-driven tools that support strategic decision-making are available. We introduce and extend the use of autoencoders to provide strategically relevant granular feedback. A first experiment indicates that experts are inconsistent in their decision making, highlighting the need for strategic decision support. Furthermore, using two large industry-provided human resources datasets, the proposed solution is evaluated in terms of ranking accuracy, synergy with human experts, and dimension-level feedback. This three-point scheme is validated using (a) synthetic data, (b) the perspective of data quality, (c) blind expert validation, and (d) transparent expert evaluation. Our study confirms several principal weaknesses of human decision-making and stresses the importance of synergy between a model and humans. Moreover, unsupervised learning and in particular the autoencoder are shown to be valuable tools for strategic decision-making

    Analysis Decision Support Systems in Assisting the Marketing Manager at PT. Borsumij Wehry Indonesia Through a Program Microsoft Exel

    Full text link
    Company Borsumij Wehry Indonesia is a multi division and geographically dispersed, and vertically integrated as the distribution of canned food. This company is typical of today's companies, namely, that the mobilization of resources as an organization is directed to the various markets for the benefit of shareholders groups. But such cases are not common characteristics of many who owned a large company, which is able to profitably use the information system that processes transactions from 20 different organizations with a system together and then present it to the management company quickly. Will obtain the appropriate level of benefits, in addition to control information to determine the basis for organizational components and compared with the plan. Top management received a brief report that shows the benefits of each organization, based on division and overall by a period and the current year, which compared with the plan. Part responsible for the marketing of income data with data submitted contributions are less direct cost of the standard. As far as the involvement of the marketing department, direct costs of the standard is fixed. Therefore, this part of the answer can not be held accountable in maximizing the contribution by varying the items that were under the control of volume, price, customer and product ingredients. The need for hardware and software continue to increase along with the rapid development of computers today. A sophisticated hardware that will not be useful without supported by software that helps in preparing the report as information for each management through computer programs. On this occasion, the author tries to analyze and design a marketing system on PT. Borsumij Wehry Indonesia. Analysis and design of the system is given a lesson in data processing curriculum
    corecore