Showing papers in "European Journal of Operational Research in 2002"

TL;DR: This survey summarizes, classifies, and compares various existing maintenance policies for both single-unit and multi-unit systems, with emphasis on single- unit systems.

TL;DR: It is shown that the standard DEA model can be used to improve the performance via increasing the desirable outputs and decreasing the undesirable outputs, and the linearity and convexity of DEA are preserved.

TL;DR: This study illustrates the use of the Analytical Hierarchy Process (AHP) as a decision support model to help managers understand the trade-offs between environmental dimensions and examines how AHP can be incorporated into a comprehensive information system supporting Environmentally Conscious Purchasing (ECP).

TL;DR: A literature review of quality function deployment (QFD) based on a reference bank of about 650 QFD publications established through searching various sources to serve the needs of researchers and practitioners for easy references of QFD studies and applications, and hence promote QFD’s future development.

TL;DR: No one methodology can be prescribed here as the complete solution to the question of ranking, as each technique is useful in a specialist area.

TL;DR: This work considers problems requiring to allocate a set of rectangular items to larger rectangular standardized units by minimizing the waste by discussing mathematical models, lower bounds, classical approximation algorithms, recent heuristic and metaheuristic methods and exact enumerative approaches.

TL;DR: The objective of this paper is to review the research conducted on the framework of the multicriteria decision aiding (MCDA).

TL;DR: An overview of meta-heuristics methods utilized within the paradigm of multi-objective programming, which has undergone substantial expansion and development in the past decade is given.

TL;DR: The purpose of this paper is to explain why the above method needs to be revised, and to propose a new version that takes into account a new kind of information from the DM and changes certain computing rules of the former method.

TL;DR: Results of the presented experiment indicate that the algorithm outperforms other multi-objective methods based on GLS and a Pareto ranking-based multi- objective genetic algorithm (GA) on travelling salesperson problem (TSP).

TL;DR: The research develops an integrated design methodology based on primal decomposition methods for the mixed integer programming formulation that allows a natural split of the production and transportation decisions and the research identifies the necessary information flows between the subsystems.

TL;DR: The experts' opinions are described by linguistic terms which can be expressed in trapezoidal (or triangular) fuzzy numbers to make the consensus of the experts consistent and an algorithm for evaluating the best main battle tank by fuzzy decision theory is proposed.

TL;DR: It is shown that several key properties, used to design heuristic procedures, do not hold in the blocking and no-wait cases, while some of the most effective ideas used to develop branch and bound algorithms can be easily extended.

TL;DR: Some recent approaches to timetabling problems that have been developed or are under development in the Automated Scheduling, Optimisation and Planning Research Group (ASAP) at the University of Nottingham are introduced.

TL;DR: A unified framework of the common due date assignment and scheduling problems in the deterministic case is provided by surveying the literature concerning the models involving single machine and parallel machines by finding an optimal value of thecommon due date and the related optimal schedule.

TL;DR: This study develops a mathematical model for helicopter mission planning during a disaster relief operation that requires the development of a multi-criteria analysis, and an interactive procedure is designed with the top level decision-maker to assess the preference of alternative non-dominated solutions.

TL;DR: In order to construct a comprehensive preference model that could be used to support the sorting task, this work considers preferential information of the decision maker in the form of assignment examples, i.e. exemplary assignments of some reference actions to the decision classes.

TL;DR: A case study where the analytic hierarchy process (AHP) technique was employed to support the selection of a multi-media authorizing system (MAS) in a group decision environment found the AHP to be more conducive to consensus building in group decision settings.

TL;DR: In this paper, a fuzzy multicriteria analysis (MA) model is used to evaluate service quality of domestic passenger airlines by customer surveys to reflect the inherent subjectiveness and imprecision of the customers' perceptions to the quality levels provided by airlines with respect to multiple service attributes, crisp survey results are represented and processed as fuzzy sets.

TL;DR: This paper develops an alternative approach for dealing with imprecise data in DEA by transforming a non-linear DEA model to a linear programming equivalent, on the basis of the original data set, by applying transformations only on the variables.

TL;DR: A DEA model with an interval efficiency which consists of efficiencies obtained from the optimistic and pessimistic viewpoints is formulated and extended to interval data and fuzzy data.

TL;DR: Computational results show that instances with a total box volume up to 90% easily may be solved to optimality, and that average fillings of the container volume exceeding 95% may be obtained for large-sized instances.

TL;DR: In this paper, various statistics for testing hypotheses regarding returns to scale in the context of non-parametric models of technical efficiency are discussed and the true sizes and power of various proposed tests are obtained from Monte-Carlo experiments.

TL;DR: It is shown that every decision algorithm reveals some well-known probabilistic properties, in particular it satisfies the total probability theorem and Bayes' theorem, giving a new method of drawing conclusions from data, without referring to prior and posterior probabilities, inherently associated with Bayesian reasoning.

TL;DR: Experimental evidence is provided that Bayesian neural networks offer a viable alternative for purchase incidence modelling and a combined use of all three RFM predictor categories is advocated by the ARD method.

TL;DR: The methodology develops and applies a combination of multi-criteria efficiency models, based on game theory concepts, and linear and integer programming methods for effective supply chain design.

TL;DR: Various methods for identifying experts in the absence of a gold standard are explored and one particularly promising approach (labeled CWS for Cochran–Weiss–Shanteau ) is explored in detail.

TL;DR: Several linear programming formulations for the one-dimensional cutting stock and bin packing problems are reviewed, including the models of Kantorovich, Gilmore–Gomory, onecut models, as in the Dyckhoff–Stadtler approach, position-indexed models, and a model derived from the vehicle routing literature.

TL;DR: A new interactive approach is proposed, where the insight obtained during robustness analyses guides the DMs during the elicitation phase, by integrating two approaches developed independently to deal with the case where the decision makers are unsure of which values should each parameter take.

TL;DR: In this paper, the authors compared the performance of artificial neuro-fuzzy inference systems (ANFIS) and multiple discriminant analysis models to screen potential defaulters on consumer loans.