Showing papers in "International Transactions in Operational Research in 2018"

TL;DR: An extensive and comprehensive review of the existing literature on local governments’ efficiency from a global point of view, covering all articles from 1990 to August 2016, is provided.

TL;DR: This paper proposes an interactive MCDM approach based on an acronym in Portuguese of interactive and multicriteria decision-making (TODIM) method and nonlinear programming (NLP) with intuitionistic linguistic numbers (ILNs).

TL;DR: This paper defines some multihesitant fuzzy linguistic HM operators for MHFLTEs to deal with problems in which weight information cannot be accurately established for criteria, but their priorities can be provided in groups or without groups.

TL;DR: A multicriteria decision-making (MCDM) approach that applies the gray linguistic Bonferroni mean (BM) operator to address the situations where the criterion values take the form of gray linguistic numbers (GLNs) and the criterion weights are known is proposed.

TL;DR: Mapping elucidated the literature behavior through three phases and showed an increase in publications with applications in recent years, indicating that most studies address evaluations in the agriculture and farming, banking and energy sectors and consider the facilities as transition elements between analysis periods.

TL;DR: An interval bound footprint (IBF), which describes the fluctuation range of the values of hesitant fuzzy elements (HFEs) arranged in order, and a hesitant fuzzy multi-criteria decision-making method based on the proposed similarity and entropy measures is introduced.

TL;DR: A biobjective mixed-integer nonlinear programming model is developed for a hierarchical three-level health service network design problem, which is then transformed to its linear counterpart.

TL;DR: A new two-index formulation with a polynomial number of variables and constraints is presented, reinforced by connectivity constraints, that was solved by means of a branch-and-cut algorithm in the Team Orienteering Problem.

TL;DR: Two effective metaheuristic algorithms based on Iterated Local Search and Simulated Annealing are proposed and shown to provide reasonably high quality solutions in relatively short running times, for both objective functions when applied to problem instances from the literature.

TL;DR: This paper improves a recently proposed Data Envelopment Analysis cross-efficiency aggregation method based on the Shannon entropy by presenting a variance coefficient method, which is significantly inconsistent with a widely accepted viewpoint.

TL;DR: The integrated data envelopment analysis based dynamic network model is used to examine dynamic changes in efficiencies of public colleges in the education sector and indicates that the in-city colleges are more efficient than others.

TL;DR: This study starts with collaboration with the local health government of the Liguria region aimed at studying the hospital bed management function and a discrete event simulation model has been developed to reproduce the multiple patient flows involved in the system.

TL;DR: It is found that queueing models tend to oversimplify operations and underestimate congestion levels, and obtain less realistic results than comparable simulation models, and the combination of queueing and simulation is shown to be a powerful approach.

TL;DR: A biobjective programming model is developed to address the hospital evacuation problem under uncertainty and aims to concurrently minimize the total evacuation time and the total weighted number of unevacuated patients in each period.

TL;DR: The multicriteria model constructed serves as a decision support system to aid decision makers, allowing managers to measure logistics performance in the hospital context and to visualize the performance profile of the main logistics activities, enabling the identification of activities requiring greater attention and improvement.

TL;DR: This study shows that supervised learning techniques are suitable for analyzing patient medical records in accurately predicting a prolonged LOS; thus, the clinical decision support system developed based on the prediction models may serve as reference tools for communicating with patients before surgery.

TL;DR: This work solves the beam angle optimisation problem from a multi-objective (MO) point of view using a two-phase strategy and produces a set of BACs which lead to aset of dose distributions that, depending on both dose prescription and physician preferences, can be selected as the preferred treatment.

TL;DR: In this paper, a stronger formulation of the precedence constraints and the station limits for the simple assembly line balancing problem was proposed, which theoretically dominates all previous formulations using impulse variables, and produces solutions of significantly better quality in practice.

TL;DR: A flexible operator, linguistic ordered weighted geometric aggregating operator (LOWGA), which will allow the fuzzy ESG performance of the firms based on the linguistic labels provided by the rating agencies to be defined.

TL;DR: An on-demand system that uses minibuses that have neither fixed itineraries nor fixed stops may be able to satisfy a large portion of user transportation requests and may be put beside standard transportation systems in order to provide a better transportation service to the users and substantially reduce the use of private cars.

TL;DR: The model is a Generalized Nash equilibrium model with nonlinear budget constraints for which the variational equilibrium is defined, which provides the analysis of the influence of the conservation laws and the importance of the associated Lagrange multipliers.

TL;DR: This paper constructs an optimal control model to maximize the total profit under a general nonlinear production cost function to solve the corresponding optimal control problem on the basis of improved Pontryagin’s maximum principle.

TL;DR: This research modify and extend inventory constrained maritime routing and scheduling models to appropriately represent the problem of a case study at a Brazilian company and to solve small-to-moderate instances based on real data.

TL;DR: A new dynamic programming algorithm is introduced that performs much better than a previous dynamic program and turns out to be also a valid alternative to an exact approach based on the use of an Integer Linear Programming (ILP) solver.

TL;DR: This paper investigates some properties of the probabilistic interaction indices of the empty set, and proposes the maximum and minimum empty set interaction principles based capacity identification methods, which can be considered as the comprehensive interaction trend preference information oriented capacity identification method.

TL;DR: This paper addresses frequent and foreseeable floods in the short-term preparedness of an imminent event using a multicriteria optimization model integrated with a geographical information system to simulate flood levels, determine the best strategies, and update information.

TL;DR: An integrated approach is applied that combines the strengths of the analytic hierarchy process (AHP) and the Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE), aided by Geometrical Analysis for Interactive Aid (GAIA), to the problem of assessing alternative vehicle painting plans.