Showing papers in "European Journal of Operational Research in 2013"

TL;DR: This survey classifies routing problems from the perspective of information quality and evolution and presents a comprehensive review of applications and solution methods for dynamic vehicle routing problems.

TL;DR: This paper presents a review of the literature on personnel scheduling problems and discusses the classification methods in former review papers, and evaluates the literature in the many fields that are related to either the problem setting or the technical features.

TL;DR: This review intends to provide a bigger picture of transportation network design problems, allow comparisons of formulation approaches and solution methods of different problems in various classes of UTNDP, and encourage cross-fertilization between the RNDP and PTNDP research.

TL;DR: The findings show no drastic changes or developments in the field of OR/MS in DOM since the publication of Altay and Green (2006), and provides future research directions in order to make improvements in the areas where lack of research is detected.

TL;DR: This work reviews research on ship routing and scheduling and related problems during the new millennium and provides four basic models in this domain and over a hundred new refereed papers on this topic during the last decade.

TL;DR: This article takes a closer look at the concepts of 64 remarkable meta-heuristics, selected objectively for their outstanding performance on 15 classic MAVRP with different attributes, and leads to the identification of “winning strategies” in designing effective heuristics forMAVRP.

TL;DR: A stochastic mathematical formulation for designing a network of multi-product supply chains comprising several capacitated production facilities, distribution centres and retailers in markets under uncertainty and incorporates the cut-set concept in reliability theory and also the robust optimisation concept is developed.

TL;DR: A design for estimating global sensitivity indices from given data, at the minimum computational cost, is introduced for the identification of the key drivers of uncertainty for the complex computer code developed at the National Aeronautics and Space Administration assessing the risk of lunar space missions.

TL;DR: An integrative review of the existing literature on trade credit motives, order quantity decisions, credit term decisions, and settlement period decisions is provided and a detailed agenda for future research in these areas is derived.

TL;DR: This work states that container loading problems have been dealt with frequently in the operations research literature and that the proposed approaches are of limited practical value since they do not pay enough attention to constraints encountered in practice.

TL;DR: A linear model is presented and used to study the cost savings that different companies may achieve when they merge their transportation requirements, and the problem of allocating the joint cost savings of the cooperation is tackled using cooperative game theory.

TL;DR: A new multi-objective location-routing model is developed, and implemented in the Marmara region of Turkey to help decision makers decide on locations of treatment centers utilizing different technologies, routing different types of industrial hazardous wastes to compatible treatment centers and routing waste residues there.

TL;DR: After introducing government consumption-subsidy program and dual-channel closed-loop supply chain, the paper analyzes the channel members’ decisions before and after the government-funded program performance, respectively.

TL;DR: An information granulation of the linguistic information used in group decision making problems defined in heterogeneous contexts, i.e., where the experts have associated importance degrees reflecting their ability to handle the problem.

TL;DR: This paper addresses a vehicle scheduling problem encountered in home health care logistics that concerns the delivery of drugs and medical devices from the home care company’s pharmacy to patients’ homes, delivery of special drugs from a hospital to patients, pickup of bio samples and unused drugs andmedical devices from patients.

TL;DR: Risk neutral and risk averse approaches to multistage (linear) stochastic programming problems based on the Stochastic Dual Dynamic Programming (SDDP) method are discussed.

TL;DR: In this article, a network-based food supply chain model under oligopolistic competition and perishability, with a focus on fresh produce, was developed, incorporating food deterioration through the introduction of arc multipliers, with the inclusion of discarding costs associated with the disposal of the spoiled food products.

TL;DR: A mixed integer linear programming (MILP) formulation is developed for the design and planning of supply chains with reverse flows while considering simultaneously production, distribution and reverse logistics activities and its applicability is demonstrated.

TL;DR: The RUL estimation approach presented in this paper is the only one that can provide an exact and closed-form RUL distribution utilizing the monitoring history, and this contrasts sharply with the approximated results obtained in the literature for the same cases.

TL;DR: This paper is the first identifiable academic literature review to deal with warranties and maintenance and provides a classification scheme for the articles that link warranty and maintenance published between 2001 and 2011 and proposes a taxonomy scheme to classify these articles.

TL;DR: In this article, the authors introduce new environmental constraints, namely carbon emission constraints, in multi-sourcing lot-sizing problems, which aim at limiting the carbon emission per unit of product supplied with different modes.

TL;DR: The results suggest that OR processes are highly sensitive to various behavioral effects and need to pay attention to the way the authors communicate about models as they are being increasingly used in addressing important problems like climate change.

TL;DR: This paper develops an extended QUALIFLEX method for handling multiple criteria decision-making problems in the context of interval type-2 fuzzy sets and proposes the concordance/discordance index, the weighted concordances/discords index, and the comprehensive concords index as evaluative criteria of the chosen hypothesis for ranking the alternatives.

TL;DR: This study is among the first to address the operative perspective of the supply chain dynamics domain and proposes a possible systemization and classification of related terminology from different theoretical perspectives, and important practical problems.

TL;DR: Different typologies of suppliers are combined by distinguishing two overarching dimensions, the capabilities and the willingness of suppliers to cooperate with a particular firm by a fuzzy Analytic Hierarchy Process, which is used to segment the suppliers of a broiler company.

TL;DR: The genetic algorithm outperforms the classic decomposition approaches in case of small-size instances and is able to generate relatively good solutions for instances with up to 50 jobs, 5 machines, and 10 vehicles.

TL;DR: An interactive simulation-based decision support framework is presented in this paper for healthcare process improvement and shows that the unblocking of ED outflows by in-patient bed management is more effective than increasing only the ED physical capacity or the ED workforce.

TL;DR: A new formulation of the generalized flow-refueling location model that takes vehicle range and trips between origin–destination pairs into account is presented, which is more computationally efficient than previous formulations or heuristics.

TL;DR: This survey paper aims at covering the main results concerning the existence of equilibria and the solution methods for finding them.

TL;DR: A stochastic programming approach to solve a multi-period multi-product multi-site aggregate production planning problem in a green supply chain for a medium-term planning horizon under the assumption of demand uncertainty.