Decision making tasks are often complex and ill-defined, and they are also multi-aspect because many factors influence the decision process. Decision support systems (DSS) which are frequently used in business and manufacturing have a potential to cope with vagueness and illstructure of complex decision making situations. Also an optimum DSS can be developed for multidimensional decision proble...

Internet facilitates access to data, information, and knowledge sources, but at the same time threatens to cognitively overload the decision makers. This necessitates the development of effective decision support tools to properly inform the decision process. So far the response from the field of decision support systems has not been adequate. Internet technologies require new type of decision ...

With the prevalence of the Web, most decision-makers are likely to use the Web to support their decision-making. Web-based technologies are leading a major stream of researching decision support systems (DSS). In this paper, we propose a formal definition and a conceptual framework for Web-based open DSS (WODSS). The formal definition gives an overall view of WODSS and creates a uniform researc...

Decision support systems (DSS) have achieved considerable success in many areas of business activity. The type of semi-structured problem where DSS is successful frequently involves the management or configuration of vehicles or machines. While DSS has been used for human resource problems such as personnel scheduling, there have been fewer DSS applications in the area of personnel placement. T...

Knowledge representation models have become an integral part of the intelligent decision support system (IDSS). This area is covered in many different works. The subject of particular interest is the application of intelligent technologies for the development of the tools of decision support system (DSS) design automation and its distinct elements, namely model base management systems (MBMS). M...

In the field of manufacturing systems automated data acquisition and development of technological innovations like manufacturing execution systems (MES), Enterprise Resource Planning (ERP), Advanced Planning Systems (APS) and new trends in Big Data and Business Intelligence (BI) have given rise to new applications and methods of existing decision support technologies. Today manufacturers need a...

This study investigates a number of variables related to decision support systems (DSS): use of systems, contribution of systems, and user satisfaction. We use a simulation game as a vehicle for implementing DSS and for measuring the effectiveness of those systems. Fifty-Eight companies, consisting of about 300 senior graduate students participating in the simulation, developed DSS and reported...

The recent financial crisis, the growth of the frequency of extreme risk events are motivations for a new analysis of the mechanisms and processes that implies high risk and high uncertainty. The new dynamics and the severe impact of the extreme events (natural hazards, terrorism, technological accidents, and economic/financial crises), but also the complexity of interventions have motivated th...

Decision support systems (DSSs) are used to enhance decision making speed and effectiveness. However, without a view of the entire system, any decision may have unanticipated effects, such as sub-optimal outcomes. This paper explores the benefits of applying a DSS over the analysis of unprocessed data and the effectiveness of integrating a product design generator (PDG) with a business DSS wher...