Showing papers in "European Journal of Operational Research in 2009"

TL;DR: Basic features that facility location models must capture to support decision-making involved in strategic supply chain planning are identified and applications ranging across various industries are presented.

TL;DR: A sketch of some of the major research thrusts in data envelopment analysis (DEA) over the three decades since the appearance of the seminal work of Charnes et al. is provided.

TL;DR: A slacks-based network DEA model is proposed, called Network SBM, that can deal with intermediate products formally and evaluate divisional efficiencies along with the overall efficiency of decision making units (DMUs).

TL;DR: In this paper, the basic Kriging assumptions and formulas are presented and compared with classic linear regression metamodels and bootstrapping to estimate the variance of the kriging predictor.

TL;DR: This paper review the main contributions in the field of production and distribution planning for agri-foods based on agricultural crops and focuses particularly on those models that have been successfully implemented.

TL;DR: Examination of second stage DEA efficiency analyses, within the context of a censoring data generating process (DGP) and a fractional data DGP, when efficiency scores are treated as descriptive measures of the relative performance of units in the sample suggests Tobit estimation in this situation is inappropriate.

TL;DR: The current paper develops an additive efficiency decomposition approach wherein the overall efficiency is expressed as a (weighted) sum of the efficiencies of the individual stages and can be applied under both CRS and variable returns to scale (VRS) assumptions.

TL;DR: A comprehensive explanation of the current state of the art in AS/RS design is provided for a range of issues such as system configuration, travel time estimation, storage assignment, dwell-point location, and request sequencing.

TL;DR: This article gives an overview over the various models and methods used to predict future load demands and their applications in the electricity sector.

TL;DR: This work surveys complexity results for the min-max and min- max regret versions of some combinatorial optimization problems: shortest path, spanning tree, assignment, min cut, min s-t cut, knapsack, and investigates the approximability of these problems.

TL;DR: This paper builds a relational network DEA model, taking into account the interrelationship of the processes within the system, to measure the efficiency of the system and those of the process at the same time, and decomposes the system efficiency into the sum of the inefficiency slacks of its component processes connected in parallel.

TL;DR: This paper reviews and discusses the three major planning approaches presented in the literature, mixed-model sequencing, car sequencing and level scheduling, and provides a hierarchical classification scheme to systematically record the academic efforts in each field and to deduce future research issues.

TL;DR: An improved ant colony optimization (IACO) is proposed, which possesses a new strategy to update the increased pheromone, called ant-weight strategy, and a mutation operation, to solve VRP.

TL;DR: The paper concludes that assessing scenarios with PMCA is resource intense, but this methodology captures successfully the context of technology deployment and allows decision-making based on a robust and democratic process, which addresses uncertainties, acknowledges multiple legitimate perspectives and encourages social learning.

TL;DR: Experimental results show that by using current hospital resources, the optimization simulation model generates optimal staffing allocation that would allow 28% increase in patient throughput and an average of 40% reduction in patients' waiting time.

TL;DR: It is shown in this paper that the Pareto front of bi-objective problems can be efficiently generated with the [epsilon]-constraint method and heuristics based on information gathered from previous subproblems that significantly speed up the method are described.

TL;DR: This article attempts to do an objective evaluation of the performance of decision making units (DMUs) by proposing six DEA-based performance evaluation models based on a research sample of the Chinese coal-fired power plants and finding not only contributes for the performance measurement methodology, but also has policy implications for the Chinese power sector.

TL;DR: It is shown that slight changes of the proposed VNS procedure is also competitive for the Periodic Traveling Salesman Problem (PTSP), and even outperforms existing solution procedures proposed in the literature.

TL;DR: The optimal pricing strategies when a product is sold on two channels such as the Internet and a traditional channel are studied and the behavior under different parameters and consumer preferences for the alternative channels are explored.

TL;DR: The current literature on the overall methodology of warehouse design is explored, together with the literature on tools and techniques used for specific areas of analysis, to assist further research into the development of a more comprehensive methodology for warehouse design.

TL;DR: This paper addresses channel coordination by seeking optimal cooperative advertising strategies and equilibrium pricing in a two-member distribution channel and identifies the feasible solutions to a bargaining problem where the channel members can determine how to divide the extra profits.

TL;DR: An evaluation study of residential properties carried out together with real estate agents in the city of Volta Redonda, Brazil aimed to define a reference value for the rents of these properties using the TODIM method of Multicriteria Decision Aiding.

TL;DR: This paper proposes a three-step approach for evacuation planning and explains that the last step, which corresponds to distribution of evacuees into the safe areas, is a spatial multiobjective optimization problem (MOP), because the objective functions and data required for solving the problem has a spatial component.

TL;DR: Results show that Monte Carlo cost-to-go estimation reduces computation time 65% in large instances with little or no loss in solution quality, and compares results to the perfect information case from solving exact a posteriori solutions for sampled vehicle routing problems.

TL;DR: An integer programming (IP) formulation for optimal route assignment is presented, which utilizes M/G/c/c state dependent queueing models to cope with congestion and time delays on road links.

TL;DR: A parallel DEA model is developed which takes the operation of individual components into account in calculating the efficiency of the system, and the efficiency calculated is smaller than that calculated from the conventional DEA model.

TL;DR: Several seller-buyer supply chain models are proposed which incorporate both cost factors as well as elements of competition and cooperation between seller and buyer.

TL;DR: A supply chain design problem modeled as a sequence of splitting and combining processes, where the first-stage decisions are strategic location decisions, whereas the second stage consists of operational decisions.

TL;DR: An inventory model with general ramp type demand rate, time dependent (Weibull) deterioration rate and partial backlogging of unsatisfied demand is considered and the optimal replenishment policy for the model is derived.

TL;DR: The main result is the configuration of three collection networks within Mexico, which correspond to three possible scenarios that consider 100%, 90% and 75%, respectively, of collection coverage.