The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Stephen E Bechtold - One of the best experts on this subject based on the ideXlab platform.
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an interactive optimization based Decision Support System for scheduling part time computer lab attendants
Omega-international Journal of Management Science, 1994Co-Authors: J Lauer, Larry W Jacobs, Michael J Brusco, Stephen E BechtoldAbstract:The labor tour scheduling problem has attracted much recent research, focusing on the development and evaluation of optimal and heuristic methods to minimize labor costs while satisfying demand for labor. Researchers typically assume that a sufficient labor pool is available. However, service organizations such as fast-food restaurants, grocery stores, and video rental stores, as well as not-for-profit organizations using volunteer workers, typically use a large number of part-time employees with limited availabilities for work. This study presents an interactive Decision Support System that addresses the conflicting objectives of efficient labor scheduling and accommodating employee needs. The System uses a linear programming model to provide sets of optimal shifts from which employees can construct acceptable weekly schedules; the manager may override the schedule if necessary. The Decision Support System is used to schedule student computer lab attendants at a major university in an efficient and equitable manner.
Enrique Herreraviedma - One of the best experts on this subject based on the ideXlab platform.
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a Decision Support System to develop a quality management in academic digital libraries
Information Sciences, 2015Co-Authors: Francisco Javier Cabrerizo, Javier Lopezgijon, Juan Antonio Morentemolinera, I J Perez, Enrique HerreraviedmaAbstract:Academic digital libraries are getting more benefit from the Web possibilities to help with teaching, learning and research activities. Because of it, more and more people use the services that they offer. Therefore, it is very important that the academic digital libraries provide a good service in order to satisfy the users' expectations. The aim of this paper is to present a Decision Support System assisting the staff of the academic digital libraries to make Decisions in order to meet the users' needs and, in such a way, to increase the number of users utilizing them. To do so, the Decision Support System is composed of several Decision rules which generate recommendations according to both objective and subjective criteria to improve the quality of the services offered by the academic digital libraries.
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a mobile Decision Support System for dynamic group Decision making problems
Systems Man and Cybernetics, 2010Co-Authors: I J Perez, Francisco Javier Cabrerizo, Enrique HerreraviedmaAbstract:The aim of this paper is to present a Decision Support System model with two important characteristic: 1) mobile technologies are applied in the Decision process and 2) the set of alternatives is not fixed over time to address dynamic Decision situations in which the set of solution alternatives could change throughout the Decision-making process. We implement a prototype of such mobile Decision Support System in which experts use mobile phones to provide their preferences anywhere and anytime. To get a general System, experts' preferences are assumed to be represented by different preference representations: 1) fuzzy preference relations; 2) orderings; 3) utility functions; and 4) multiplicative preference relations. Because this prototype incorporates both selection and consensus processes, it allows us to model group Decision-making situations. The prototype incorporates a tool for managing the changes on the set of feasible alternatives that could happen throughout the Decision process. This way, the prototype provides a new approach to deal with dynamic group Decision-making situations to help make Decisions anywhere and anytime.
F K T Wat - One of the best experts on this subject based on the ideXlab platform.
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fuzzy Decision Support System for risk analysis in e commerce development
Decision Support Systems, 2005Co-Authors: Eric W T Ngai, F K T WatAbstract:This paper describes the development of a fuzzy Decision Support System (FDSS) for the assessment of risk in e-commerce (EC) development. A Web-based prototype FDSS is designed and developed to assist EC project managers in identifying potential EC risk factors and the corresponding project risks. A risk analysis model for EC development using a fuzzy set approach is proposed and incorporated into the FDSS. The results of an evaluation indicate that the prototype performs to expectations.
Natalya Kondratyeva - One of the best experts on this subject based on the ideXlab platform.
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technical safety System with self organizing sensor System and fuzzy Decision Support System
IEEE International Conference on Fuzzy Systems, 2015Co-Authors: Sagit Valeev, Natalya KondratyevaAbstract:In this paper, the problem of reducing the risks involved in the critical situations in the techno-social Systems with complicated infrastructure and characterized by large crowds, such as airports, train stations, shopping centers, etc. is considered. The task is to be solved with technical safety System on the basis of fuzzy Decision Support System and self-organizing sensor System. Architectures of Decision Support System and self-organizing sensor System are offered. An example of the System simulation is proposed.
Peter E Hildebrand - One of the best experts on this subject based on the ideXlab platform.
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agclimate a case study in participatory Decision Support System development
Climatic Change, 2008Co-Authors: Norman E Breuer, V E Cabrera, Keith T Ingram, Kenneth Broad, Peter E HildebrandAbstract:Potential economic benefit exists from the use of seasonal climate forecasts in agriculture. To assess potential end user attitudes toward and interests in climate data, and to provide inputs from users to the development of Decision Support tools, we conducted a series of surveys. Survey results affected the design, development, and enhancement of AgClimate, a web-based Decision Support System for minimizing climate risks to agriculture. The overall process is an example of how Decision makers can participate in the research process, thereby improving the value and relevance of research products such as Decision Support Systems.
