Operations-Research-Modelle und Expertensysteme als Wissensmodule intelligenter Decision-Support-Systeme

1991 ◽  
pp. 1-26 ◽  
Author(s):  
Rainer Busch
Keyword(s):  
Decision Support ◽  
Operations Research

From Decision Making to Decision Support

2019 ◽  
Author(s):  
Frederic Adam ◽  
Ciara Heavin
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Operations Research ◽  
Human Cognition ◽  
Support Needs ◽  
Managerial Decision ◽  
Full Diversity ◽  
History Of ◽  
Research Questions ◽  
Considerable Depth

In such a complex and well-researched domain as decision support systems (DSS), with a long history of authors making insightful contributions since the 1960’s, it is critical for researchers, especially those less experienced, to have a broad knowledge of the seminal work that has been carried out by prior generations of researchers. This can serve to avoid proposing research questions which have been considered many times before, without having consideration for the answers which have been put forward by previous scholars, thereby reinventing the wheel or “rediscovering” findings about the life of organizations that have been presented long before. The study of human and managerial decision-making is also characterized by considerable depth and seminal research going back to the beginning of the 20th century, across a variety of fields of research including psychology, social psychology, sociology or indeed operations research. Inasmuch as decision-making and decision support are inextricably linked, it is essential for researchers in DSS to be very familiar with both stream of research in their full diversity so they are able to understand both what activity is being supported and how to analyze requirements for developing decision support artefacts. In addition, whilst the area of decision support has sometimes been characterized by technology-based hype, it is critical to recognize that only a clear focus on the thinking and actions of managers can provide decisive directions for research on their decision support needs. In this article, we consider first the characteristics of human cognition, before concentrating on the decision-making needs of managers and the lessons that can be derived for the development of DSS.

How to Market OR/MS Decision Support

2010 ◽  
Vol 1 (2) ◽  
pp. 23-36
Author(s):  
Masayuki Ueda
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Operations Research ◽  
Research Group ◽  
Research Management ◽  
Decision Makers ◽  
Quality Service ◽  
High Quality ◽  
Communication Gap ◽  
High Quality Service

This research examines what decision makers must do to utilize OR/MS decision support. The author investigates OR/MS decision support from a new viewpoint of service. Firstly, OR/MS decision support provides information to aid in decision making, and it is shown that OR/MS decision support shares characteristics with service and can be considered a kind of service. This paper analyzes OR/MS decision support from the viewpoint of what is necessary for high quality service, and the issue of a communication gap is clarified. Through analyzing preceding research in OR/MS (Operations Research/Management Science), the author discovers a communication gap between decision makers and decision supporters. Finally, the author shows that it is effective to utilize “problem specification”, which is a decision-maker friendly description of problems proposed by research group including the author, as one approach to bridge the communication gap.

Daily output planning: Integrating operations research, artificial intelligence, and real-time decision support with APL2

1992 ◽  
Vol 5 (3-4) ◽  
pp. 245-256 ◽  
Author(s):  
Kenneth Fordyce ◽  
Dale Dalton ◽  
Barry Gerard ◽  
Richard (Rick) Jesse ◽  
Richard Sell ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Decision Support ◽  
Real Time ◽  
Operations Research ◽  
Daily Output

Methods, models and algorithms in security systems: machine learning, robotics, insurance, risks, control

2021 ◽  
Author(s):  
Nikolay Topolsky ◽  
Valeriy Vilisov
Keyword(s):  
Artificial Intelligence ◽  
Decision Support ◽  
Graduate Students ◽  
Doctoral Students ◽  
Operations Research ◽  
Organizational Systems ◽  
Educational Organizations ◽  
Security Systems ◽  
Emergency Situations ◽  
Safety Systems

The monograph examines topical issues of decision support and management in safety systems for fire and emergency situations through the use of innovative approaches and tools for operations research, artificial intelligence, robotics and management methods in organizational systems. The monograph is intended for faculty, researchers, graduate students (adjuncts) and doctoral students, as well as for undergraduates, students and listeners of educational organizations, all those who are interested in the problems of decision support and management in security systems.

How to Market OR/MS Decision Support

2010 ◽  
pp. 157-172
Author(s):  
Masayuki Ueda
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Maker ◽  
Operations Research ◽  
Management Science ◽  
Research Management ◽  
Decision Makers ◽  
Research Groups ◽  
High Quality ◽  
Communication Gap

This research examines what to do to have decision makers more utilize OR/MS decision support. We investigate OR/MS decision support from a new viewpoint of service. Firstly, based on the fact that what is provided by OR/MS decision support is information to aid in decision making, we show that OR/MS decision support shares characteristics with service, hence can be considered as a kind of service. Next, we analyze OR/MS decision support from the viewpoint of what is necessary for service of high quality, and we clarify the issue of communication gaps. If we investigate preceding research in OR/MS (Operations Research/Management Science), it turns out that there is surely a problem with communication gap between decision makers and decision supporters. Finally, we show that it is effective to utilize problem specification, which is a decision-maker-friendly description of problems proposed by research groups including the author, as one approach to bridge the communication gap.

Decision Support Systems in Health Care

1997 ◽  
Vol 36 (02) ◽  
pp. 82-91
Author(s):  
Y. E. Walus ◽  
L. Hanmer ◽  
H. W. Ittmann
Keyword(s):  
South Africa ◽  
Decision Support ◽  
Decision Support Systems ◽  
Operations Research ◽  
Support Systems ◽  
Research Issues ◽  
Healthcare Information Systems ◽  
Healthcare Environment ◽  
The Usa ◽  
The Uk

Abstract:This paper delineates the application of decision support systems in the healthcare arena. An overview of decision support systems in the healthcare environment in the last three to five years, mostly in the USA and the UK is provided. Some reference is made to work in South Africa. Although this report endeavours to emphasise the decision support system side, some operations research issues are also addressed. This paper is divided into several sections: decision support systems definition, techniques used, the use of operations research in specific areas of healthcare, information systems, assessment of decision support systems, in-house development, decision support in South Africa and future of decision support systems.

Sign in / Sign up

Export Citation Format

Share Document