In some decision situations, quantitative models embedded in a Decision Support System (DSS) can help managers make better decisions. Model-driven DSS use algebraic, decision analytic, financial, simulation, and optimization models to provide decision support. This category of DSS is continuing to evolve, but research can resolve a variety of behavioral and technical issues that impact system p...

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...

the development of a number of different rapid prototyping (rp) technologies with wide-ranging capabilities, features and applications has created the problem of selecting an appropriate rp system for engineering educational institutions as well as manufacturing organizations intending to adopt this new technology. this paper presents an rp decision support system (rp dss) for ranking and selec...

This paper examines the implications of utilizing decision support systems (DSS) in the public sector based on a DSS developed and implemented for a community mental health system. The DSS includes a multiple objective (goal programming) allocation model and encompasses a multiple party decision process. The experiences and insights acquired during the development and implementation are relevan...

There are various frameworks for decision support system (DSS) that have been formulated. Such frameworks describe the characteristics of DSS. In this paper a proposed effectiveness DSS framework for e-government is presented. This is done by integrating DSS components to support managers and decision makers in e-government. The structure of the proposed DSS framework is discussed. It is expect...

This research investigates the use of decision support systems while employing a classroom simulation game as a methodology. The goal of this paper is to find the unique patterns associated with the systems. Several techniques are employed to build the decision support model. The proposed model is applied in one MBA class and proved by the participants of the simulation experiments. Consequentl...

computer-integrated manufacturing (cim), technologies are presented as solutions tomanufacturing organizations, which need to perform well in all customer-related dimensionssimultaneously. in the literature, cim technologies providing such benefits as more frequentproduction changes, reduced inventory level, improved ability of producing complex parts with ahigh degree of accuracy and repeatabi...

Objectives: (i) To compare the quality of clinicians’ decisions made with and without computerised triple assessment decision support (TADS) during assessment of women referred to specialist breast cancer units, (ii) To investigate the opinions of clinicians about the decision support software used. Design: Balanced-block crossover experiment with simulated cases; questionnaire study and semi-s...

Many businesses have made or are making significant investments in data warehouses and marts that are designed to support a myriad of decision support systems (DSS). Due to the newness of data warehousing and related DSS (DWDSS), the nature of the decision support provided to DSS users and the importance of metadata and explanations within that support have not been documented. An exploratory c...