Plant location selection invariably has a significant impact on the performance of many companies or manufacturing systems. In this paper, a novel methodology is structured to solve this problem. The two decision making methods, namely AHP and VIKOR, are integrated in order to make the best use of information available, either implicitly or explicitly. In addition, the Delphi method is utilized...

Modern research has engendered frameworks, such as the management support system (MSS), that are designed to provide comprehensive and integrated support for the decision making process. While one recent study has empirically measured the effects of these frameworks on decision making, there have been few, if any, corroborating or deprecating investigations. This article offers further empirica...

I this article we present our concept of time-critical decision making, sometimes even in life-threatening situations, and compare it to the process of non-time-critical decision making. Decision-making methodologies have been extensively researched, and some of the published research deals with decision making within the context of everyday life. However, in many organizations it is customary ...

Traditional decision support systems are based on the paradigm of a single decision maker working at a stand-alone computer or terminal who has a specific decision to make with a specific goal in mind. Organizational decision support systems aim to support decision makers at all levels of an organization (from executive, middle management managers to operators), who have a variety of decisions ...

Forecasting models have wide applications in decision making. In the real world, rapid changes normally take place in different areas, specifically in financial markets. Collecting the required data is a main problem for forecasters in such unstable environments. Forecasting methods such as Auto Regressive Integrated Moving Average (ARIMA) models and also Artificial Neural Networks (ANNs) need ...

Forecasting models have wide applications in decision making. In the real world, rapid changes normally take place in different areas, specifically in financial markets. Collecting the required data is a main problem for forecasters in such unstable environments. Forecasting methods such as Auto Regressive Integrated Moving Average (ARIMA) models and also Artificial Neural Networks (ANNs) need ...

the purpose of this research was to study organizational climate and faculty members' participation in decision making in physical education faculty of tehran university. for this purpose, 30 faculty members of physical education faculty were selected with census method as the statistical sample. data were collected by two questionnaires: organizational climate (?=0.92) and participation i...