Towards Intelligent Real-time Decision Support Systems for Industrial Milieu
نویسندگان
چکیده
Decision support systems (DSS) are human-centered information systems meant to help managers placed on different authority levels to make more efficient and effective decisions for problems evincing an imperfect structure. These systems are very suitable information tools to apply to various management and control problems that are complex and complicated at the same time. Several issues concerning the modern trends to build anthropocentric systems are reviewed. Then the paper surveys several widely accepted concepts in the field of decision support systems and some specific aspects concerning real-time applications. Several artificial intelligence methods and their applicability to decisionmaking processes are reviewed next. The possible combination of artificial intelligence technologies with traditional numerical models within advanced decision support systems is discussed and an example is given.
منابع مشابه
A DSS-Based Dynamic Programming for Finding Optimal Markets Using Neural Networks and Pricing
One of the substantial challenges in marketing efforts is determining optimal markets, specifically in market segmentation. The problem is more controversial in electronic commerce and electronic marketing. Consumer behaviour is influenced by different factors and thus varies in different time periods. These dynamic impacts lead to the uncertain behaviour of consumers and therefore harden the t...
متن کاملApplication of Rough Set Theory in Data Mining for Decision Support Systems (DSSs)
Decision support systems (DSSs) are prevalent information systems for decision making in many competitive business environments. In a DSS, decision making process is intimately related to some factors which determine the quality of information systems and their related products. Traditional approaches to data analysis usually cannot be implemented in sophisticated Companies, where managers ne...
متن کاملAn application of principal component analysis and logistic regression to facilitate production scheduling decision support system: an automotive industry case
Production planning and control (PPC) systems have to deal with rising complexity and dynamics. The complexity of planning tasks is due to some existing multiple variables and dynamic factors derived from uncertainties surrounding the PPC. Although literatures on exact scheduling algorithms, simulation approaches, and heuristic methods are extensive in production planning, they seem to be ineff...
متن کاملFuzzy logic and intelligent agents: towards the next step of capital budgeting decision support
The economic life of large investments is long and thus necessitates constant dynamic managerial actions. To be able to act in an optimal way in the dynamic management of large investments managers need the support of advanced analytical tools. They need to have constant access to information about the real time situation of the investment, as well as, access to up-to-date information about cha...
متن کاملA proposed Intelligent Decision Support System for Marketing Planning in Industrial Enterprises
Organizations in industry field and high-velocity business environments are facing rapid and discontinuous change in demand, competitions, technology, and/or regulations. Decision makers operating in such contexts must make high-quality decisions rapidly. In the other side also developments in information and communication technologies make it increasingly possible to support decision makers in...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003