Showing papers in "European Journal of Operational Research in 2018"

TL;DR: This paper reviews recent modeling developments of the Wiener-process-based methods for degradation data analysis and RUL estimation, as well as their applications in the field of prognostics and health management (PHM).

TL;DR: In this article, the authors proposed a new hybrid algorithm, the logit leaf model (LLM), which consists of two stages: a segmentation phase and a prediction phase, where in the first stage customer segments are identified using decision rules and in the second stage a model is created for every leaf of this tree.

TL;DR: This study reviews the literature on data envelopment analysis (DEA) applications in sustainability using citation-based approaches and constructs a directional network based on citation relationships among DEA papers published in journals indexed by the Web of Science database from 1996 to March 2016.

TL;DR: The history of problems and OR contributions in transportation and logistics will be shortly reviewed together with the evolution of technology and the future trends in this area will be discussed together with potential OR contributions.

TL;DR: A new approach based on iteratively adjusting a bound on the l1-norm of the classifier vector in order to force the number of selected features to converge towards the desired maximum limit is introduced.

TL;DR: A simulated annealing algorithm with a mechanism of repeatedly cooling and rising the temperature is proposed to solve the four versions of this problem, with or without the LIFO constraint, and allowing rotation of goods or not.

TL;DR: A hybrid multi-population genetic algorithm is proposed to solve a new city logistics problem arising in the last mile distribution of e-commerce, and the computational results obtained show the effectiveness of the different components of the algorithm.

TL;DR: A mathematical model which can solve small instances to optimality, and also serves as a problem representation is presented, and a tabu search algorithm with specific neighborhood functions and a diversification structure is developed.

TL;DR: This paper develops scheduling procedures which determine the truck route along robot depots and drop-off points where robots are launched, such that the weighted number of late customer deliveries is minimized.

TL;DR: A broader framework is needed so that open research questions can be identified more easily and contributions are not overlooked in the logistical aspects of vaccination.

TL;DR: A disaster preparedness system based on a combination of multi-objective optimisation and geographical information systems to aid multi-organisational decision-making is introduced and showed the potential to achieve better performance in terms of cost and level of service than the approach currently employed by the authorities.

TL;DR: It is found that, although the usefulness of different multi-criteria decision-making tools varied to some extent, all the tools were found to be useful in the sense that, when they decided to change their ranking, they followed the recommendation of the multi- Criteria Decision-making tool.

TL;DR: This study introduces a new epidemics–logistics mixed-integer programming (MIP) model that determines the optimal amount, timing and location of resources that are allocated for controlling an infectious disease outbreak while accounting for its spatial spread dynamics.

TL;DR: The objective is to choose a start time for each activity of the project so that the project duration is minimized, while satisfying precedence relations, resource availabilities, and resource-transfer time constraints.

TL;DR: A number of research gaps are identified and several opportunities for advancing retail expertise in the operations management community are proposed by discussing the limitations present in these papers.

TL;DR: A theoretical model in which a physical retailer adopting BOPS uses a recommended service area to fulfill orders from both determined and casual customers in one order cycle is developed.

TL;DR: The results show that the benefits of bagging predominantly originate from the model uncertainty: the fact that different models might be selected as optimal for the bootstrapped series should be preferred to selecting a single model.

TL;DR: In this paper, the authors present a systematic review of the literature on energy management for stationary EESS applications and develop a conceptual framework that facilitates the structuring of research on the management of EESS and identification of future research opportunities.

TL;DR: Compared with consensus models without directional constraints, the proposed models can obtain a better consensus opinion at lower costs due to the flexibility in adjusting individual opinions and can also characterize the MCC problems in a more realistic way.

TL;DR: A new selective maintenance model for multi-state systems is developed to maximize the probability of a system successfully completing the next mission, while taking account of the stochasticity of the durations of breaks and maintenance actions.

TL;DR: Experimental results based on data from the disastrous 2011 floods and landslides in the Serrana Region of Rio de Janeiro, Brazil, show that the model’s novel characteristics help get aid faster to victims and naturally enforce fairness in its distribution to disaster areas in a humanitarian spirit.

TL;DR: A framework for OR in spare parts management is presented, based on the product lifecycle process and including the objectives, main tasks, and OR disciplines for supporting spare part management.

TL;DR: A routing model for repositioned trucks is used to show that the proposed optimization model and the latter heuristic approach, called the iterative price adjustment scheme (IPAS), reduce the overall operating cost while partially or fully obviating the need for a manual repositioning operation.

TL;DR: This paper describes recent developments on tackling the entire control problem by reviewing the key literature on choice-based revenue management, specifically focusing on methodological publications of availability control over the years 2004–2017.

TL;DR: The literature on robustness in railway planning problems is surveyed, considering how robustness is conceptualized and modeled for the individual problems of railway, the degree to which an overall railway robustness concept is present, and the future directions of robustnessIn railway planning.

TL;DR: This paper presents a multiperiod supply chain with freight carriers network model, and provides variational inequality formulations of the equilibrium conditions and proposes the modified projection method, along with conditions for convergence.

TL;DR: A joint pricing and lot-sizing model for retailers selling perishable products in which the demand depends on not only the selling price and reference price but also the product freshness linked to expiration date and displayed stock level is developed.

TL;DR: In this article, the authors provide a review that focuses on quantitative methods for physician scheduling in hospitals and describe the relevant characteristics of various investigated physician scheduling problems, such as the problem type, i.e. Staffing, Rostering or Re-planning problems, personnel qualification and experience, and the utilized shift types.

TL;DR: This paper proposes a decomposition algorithm based on Nested Benders Decomposition for multi-period MILP problems to allow the solution of larger instances and adapts previous nested Benders methods by handling integer and continuous state variables, although at the expense of losing its finite convergence property.

TL;DR: An integrated berth allocation and quay crane assignment and scheduling problem motivated by a real case where a heterogeneous set of cranes is considered and a new model is introduced to avoid the big-M constraints included in the RPF.