Showing papers in "European Journal of Operational Research in 2015"

TL;DR: The aim of this paper is to review recently published papers in reverse logistic and closed-loop supply chain in scientific journals and identify gaps in the literature to clarify and to suggest future research opportunities.

TL;DR: The study of Baesens et al. (2003) is updated and several novel classification algorithms to the state-of-the-art in credit scoring are compared, providing an independent assessment of recent scoring methods and offering a new baseline to which future approaches can be compared.

TL;DR: The historical development of scientometrics, sources of citation data, citation metrics and the “laws” of scientometry, normalisation, journal impact factors and other journal metrics, visualising and mapping science, evaluation and policy, and future developments are considered.

TL;DR: This paper classify this new literature according to the features of models considered for berth allocation, quay crane scheduling and integrated approaches by using the classification schemes proposed in the preceding survey.

TL;DR: This paper presents a systematic review of the quantitative and analytical models for managing supply chain risks, and completes a systemic mapping of the literature that identifies the key research clusters/topics, interrelationships, and generative research areas that have provided the field with the foundational knowledge.

TL;DR: A multi-objective MILP model for planning one-way vehicle-sharing systems taking into account vehicle relocation and electric vehicle charging requirements is developed and demonstrated on a large scale real world problem with available data.

TL;DR: In this article, the authors proposed an Adaptive Large Neighborhood Search algorithm that is enhanced by a local search for intensification to optimize the routing of a mixed fleet of electric commercial vehicles and conventional internal combustion commercial vehicles (ICCVs).

TL;DR: This paper is the third comprehensive survey paper which provides an extensive review of about 500 papers that have appeared since the mid-2006 to the end of 2014, including static, dynamic, deterministic, and stochastic environments, based on shop environments as single machine, parallel machine, flowshop, job shop, or open shop.

TL;DR: This paper focuses on the impact of consumer environmental awareness (CEA) on order quantities and channel coordination within a one-manufacturer and one-retailer supply chain.

TL;DR: In this review, information systems applications in humanitarian logistics are also surveyed, since humanitarian logistics models and their solutions need to be integrated with information technology to enable their use in practice.

TL;DR: This paper studies the phenomenon of financial distress for 107 Chinese companies that received the label ‘special treatment’ from 2001 to 2008 to discover that financial indicators play an important role in prediction of deterioration in profitability.

TL;DR: A classification of problem variants is proposed, and concise paper excerpts that convey the central ideas of each work are provided, to discuss recent developments in the field and list promising topics for further research.

TL;DR: A selection of papers in the operations research and the management science literature that focus on innovative measures associated with the SSCM are reviewed and insights into the current state of knowledge in each area are derived.

TL;DR: This review provides an updated and comprehensive review on both exact and heuristic MCP algorithms, with a special focus on recent developments, and identifies the general framework followed by these algorithms and pinpoint the key ingredients that make them successful.

TL;DR: The purpose of the paper is to provide a comprehensive and relevant taxonomy for the RVRP literature and to propose an elaborate definition of RVRPs.

TL;DR: This study surveys the increasing research field of performance measurement by making use of a bibliometric literature analysis and identifies two approaches, namely Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) as the most important methods to evaluate the efficiency of individual and organizational performance.

TL;DR: A novel framework is proposed for integrated business continuity and disaster recovery planning for efficient and effective resuming and recovering of critical operations after being disrupted and developed a novel interactive augmented e-constraint method to find the final preferred compromise solution.

TL;DR: A multi-period optimization model based on a flow-refueling location model for strategic charging station location planning is formulated and two myopic methods are proposed, which are based on the real traffic flow data of the Korean Expressway network in 2011.

TL;DR: A Bayesian Network approach is utilized and a model of risk propagation in a supply network is developed that takes into account the inter-dependencies among different risks, as well as the idiosyncrasies of a supply chain network structure.

TL;DR: A review and classification of the literature regarding workforce planning problems incorporating skills is presented in this paper, where the authors present a combination of technical and managerial knowledge to encourage the production of more realistic and useful solution techniques.

TL;DR: The work reported in this paper addresses the problem of transmission expansion planning under uncertainty in an electric energy system by using an adaptive robust optimization model to derive the investment decisions that minimizes the system’s total costs by anticipating the worst case realization of the uncertain parameters within an uncertainty set.

TL;DR: The findings of this analysis reveal new insights as to how operational research exists within an ecosystem shared with several other disciplines, and how interactions and ripple effects diffuse knowledge and ideas between each.

TL;DR: A mixed integer linear programming based methodology for selecting the location of temporary shelter sites and the assigned population points to each open shelter area and controls the utilization of open shelter areas is proposed.

TL;DR: A Bayesian Belief Network model is presented to evaluate the risk of failure of metallic water mains using structural integrity, hydraulic capacity, water quality, and consequence factors to justify proper decision action for maintenance/rehabilitation/replacement (M/R/R).

TL;DR: It is proved that the monotone control limit policy is optimal and sensitivity analysis of the model parameters on the optimal policy is conducted.

TL;DR: Two kinds of minimum cost models are proposed with regard to all the individuals and one particular individual respectively, and the economic significance of these two models is shown by exploring their dual models grounded in the primal–dual linear programming theory.

TL;DR: A novel MOPSO algorithm using multiple search strategies (MMOPSO), where decomposition approach is exploited for transforming MOPs into a set of aggregation problems and then each particle is assigned accordingly to optimize each aggregation problem.

TL;DR: This paper offers a unifying nonconvex approximation approach, with solid theoretical tools as well as efficient algorithms based on DC programming and DCA, to tackle the zero-norm and sparse optimization.

TL;DR: In this paper, the elementary process steps of part logistics in the automotive industry starting with the initial call order to the return of empty part containers are described, important decision problems are specified, existing literature is surveyed, and open research challenges are identified.

TL;DR: This work proposes a novel reformulation of the problem that allows considering general polyhedral uncertainty sets and shows that the robust optimization model scales well with the size of the power system, which is promising in view of real-world applications of this approach.