Showing papers in "European Journal of Operational Research in 2012"

TL;DR: This paper systematically outline the optimization challenges that arise when developing technology to support ride-sharing and survey the related operations research models in the academic literature.

TL;DR: This paper presents a review that highlights the contribution of operations research to green logistics, which involves the integration of environmental aspects in logistics, and indicates several areas where environmental aspects could be included in OR models for logistics.

TL;DR: It is found that OECD countries have better carbon emission performance and integrated energy-carbon performance than non-OECD countries in electricity generation, while the difference in energy performance is not significant.

TL;DR: It is found that as consumers’ environmental awareness increases, retailers and manufacturers with superior eco-friendly operations will benefit; while the profitability of the inferior eco-Friendly firm will tend to increase if the production competition level is low, and will tends to decrease if theProduction competitionlevel is high.

TL;DR: In this paper, the authors present an up-to-date review of the advances made in the field of inventory control of perishable items (deteriorating inventory) and use the classification of Goyal and Giri based on shelf life characteristics and demand characteristics.

TL;DR: An adaptive large neighborhood search for the Pollution-Routing Problem is presented and results of extensive computational experimentation confirm the efficiency of the algorithm.

TL;DR: By considering the flows associated with different entities within the ecosystem, recent Operations Research/Management Science research developments are classified and summarized and several gaps for future research are identified.

TL;DR: An overview of the main works on train timetabling is presented, underlining the differences between models and methods that have been developed to tackle the nominal and the robust versions of the problem.

TL;DR: A review of the recent developments that had a major impact on the current state-of-the-art exact algorithms for the vehicle routing problem (VRP) can be found in this paper.

TL;DR: In the Home Care Crew Scheduling Problem a staff of home carers has to be assigned a number of visits to patients’ homes, such that the overall service level is maximised.

TL;DR: A real options approach to analyze investment timing and capacity choice for renewable energy projects under different support schemes finds that the feed-in tariff encourages earlier investment and renewable energy certificate trading creates incentives for larger projects.

TL;DR: A review of the literature on inventory and supply chain management of blood products to facilitate the tracing of published work in relevant fields of interest, as well as identifying trends and indicating which areas should be subject to future research.

TL;DR: A novel, profit centric performance measure is developed, by calculating the maximum profit that can be generated by including the optimal fraction of customers with the highest predicted probabilities to attrite in a retention campaign.

TL;DR: His paper provides a review of multiple criteria decision analysis (MCDA) for cases where attribute evaluations are uncertain, and broadly survey the available decision models that can be used to support uncertain decision making.

TL;DR: Interior point methods for linear and (convex) quadratic programming display several features which make them particularly attractive for very large scale optimization as mentioned in this paper, including low-degree polynomial worst-case complexity and an unrivalled ability to deliver optimal solutions in an almost constant number of iterations which depends very little, if at all, on the problem dimension.

TL;DR: In this article, the authors reformulate the classical economic order quantity model as a multiobjective problem and propose a multi-echelon extension of the SOP model, where the set of efficient solutions (Pareto optimal solutions) is analyzed.

TL;DR: This paper presents a mixed-integer linear programming formulation that is flexible to incorporate most of the reverse network structures plausible in practice and proposes a multi-commodity formulation and uses a reverse bill of materials in order to capture component commonality among different products.

TL;DR: This work investigated dispatching and relocation decisions of emergency service providers and found ADP is powerful in solving the underlying stochastic and dynamic optimization problem.

TL;DR: This paper proposes the use of directional distance functions and Data Envelopment Analysis techniques to assess eco-efficiency and shows how these functions can be used to compute a wide range of indicators representing different objectives regarding economic and ecological performance.

TL;DR: In this article, the impact of environmental factors on the production process in a new two-stage type approach but using conditional measures to avoid the flaws of the traditional two stage analysis.

TL;DR: The ‘SimLean’ approach is developed in which three roles for DES with lean are identified: education, facilitation and evaluation and demonstrates how the fusion of DES withLean can improve both stakeholder engagement with DES and the impact of lean.

TL;DR: The incorporation of a time-consistent coherent risk measure into a multi-stage stochastic programming model is considered, so that the model can be solved using a SDDP-type algorithm.

TL;DR: This paper aims to examine the case of Soft OR through examining the case for and against problem structuring methods.

TL;DR: This research presents a comparative analysis of the wind speed forecasting accuracy of univariate and multivariate ARIMA models with their recurrent neural network counterparts and indicates that multivariate models perform better than univariate models and that the recurrent Neural network models outperform the AR IMA models.

TL;DR: This study proposes a three stage hybrid Adaptive Neuro Fuzzy Inference System credit scoring model, which is based on statistical techniques and Neuro FBuzzy, and demonstrates that the proposed model consistently performs better than the Linear Discriminant Analysis, Logistic Regression Analysis, and Artificial Neural Network approaches.

TL;DR: Numerical tests show that theGRASP with LP and PR outperforms the simple heuristics and an adaptation of a matheuristic initially published for a particular case, the capacitated location-routing problem (CLRP).

TL;DR: In this paper, a decision-making tool for supplier selection in public procurement is proposed to help the awarding committee in this difficult task and, at the same time, maintaining a transparent procedure in accordance with governmental procurement regulations and requirements as well as guaranteeing fair and equal evaluation of all bids.

TL;DR: This paper first proves NP-hardness of the BRP as well as a special case, closing open research questions, and proposes a simple heuristic based upon a set of relocation rules that is used to generate “good” quality solutions for larger instances in very short computational time.

TL;DR: A novel heuristic dispatching rule is developed that selects the next set of tasks to be processed by the work groups in a network in order to maximize the cumulative weighted flow in the network over a horizon.

TL;DR: Routing and scheduling problems arising in the context of home health care services in Germany and planning is still done manually, resulting in long planning times and relatively inflexible solutions.