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WinQSB Version 2.0
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WinQSB
* Wide range of problem-solving tools from management science and operations management * User-friendly, easy-to-understand environment-users learn how these tools work and how to apply them to tackle business problems * Data entry is spreadsheet oriented and easy to do * Output includes spreadsheet tables and graphic analyses * Extensive help files support the user every step of the way
QSOM
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WinQSB
WinQSB is an enhanced version of QSB+, QS, and QSOM. It is an interactive and user-friendly decision support system covering tools and methods in management science, operations research, and operations management. WinQSB runs in the Windows environment: Windows 3.1, Windows 95, Windows NT, or later version. The manual is organized in the sequence of mathematical programming, network, queuing, inventory, forecasting, decision, quality, and operational functions.
Operational Research for Health Policy: Making Better Decisions
ORAHS, the Working Group on Operational Research Applied to Health Services, is a special-interest group of EURO (the European Association of OR Societies). ORAHS meets every year in a different host country. The objectives of the group include communication of ideas, knowledge and experience concerning the application of Operational Research approaches and methods to problems in the health services area; mutual support between members; and collaboration on joint projects. The 31st meeting of ORAHS was held in 2005 at the University of Southampton, UK. A total of forty-one scientific papers were presented, nineteen of which are contained in this volume. The application areas covered include resource allocation, performance measurement and disease modelling, from within Europe and beyond. The approaches used range from mathematical optimization, simulation and statistical modelling through to «soft» OR. These proceedings provide a broad perspective on current research in this area across Europe and beyond.
Intelligent Scheduling Systems
Scheduling is a resource allocation problem which exists in virtually every type of organization. Scheduling problems have produced roughly 40 years of research primarily within the OR community. This community has traditionally emphasized mathematical modeling techniques which seek exact solutions to well formulated optimization problems. While this approach produced important results, many contemporary scheduling problems are particularly difficult. Hence, over the last ten years operations researchers interested in scheduling have turned increasingly to more computer intensive and heuristic approaches. At roughly the same time, researchers in AI began to focus their methods on industrial ...
Videotex
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