Showing papers in "International Transactions in Operational Research in 2014"

TL;DR: One of the most significant conclusions is that the formulations that use vehicle-indexed variables are superior to the more compact, aggregate formulations.

TL;DR: This work is based on a systematic analysis of many implementation experiences of seru production in Japanese manufacturing factories as well as a broad investigation of the popular literature information to provide a general framework and some basic principles that should be followed while implementingseru production for practitioners from a practical perspective.

TL;DR: The new ILS-ESP (where ESP is efficient, simple, and parallelizable) algorithm is introduced that is specifically designed to take advantage of parallel computing, allowing for competitive results in “real time” for all tested instances.

TL;DR: Experimental results show that the proposed algorithm outperforms several best-known solutions from previous work, both in terms of quality and the computational time needed to obtain them.

TL;DR: This paper presents a survey on optimization models for this class of scheduling problems and suggests a classification of the various models.

TL;DR: A local search heuristic, based on an extension of the 1956 graphical method of Akers, is applied to improve the solution of the job-shop scheduling problem and its application within a biased random-key genetic algorithm is presented.

TL;DR: An exact method based on column generation and two metaheuristics derived from iterated local search are proposed for the case with flexible fleet size, which aims at minimizing the total cost for a set of routes.

TL;DR: This work presents an exact branch-and-price framework for the SBRP, with a strong emphasis on efficiency issues inherently related to column generation (CG).

TL;DR: An integer programming formulation for the family traveling salesperson problem is described and it is shown that the commercial grade integer programming solver CPLEX 11 can only solve small instances of the problem in reasonable running time.

TL;DR: This paper evaluates the performance of coal-fired thermal power plants in India for the year 2008–2009 using data envelopment analysis (DEA); subdividing the power plants into three categories depending on their scale—small, medium, and large.

TL;DR: New implementations of previous heuristics and two newHeuristics—a GRASP and a biased random-key genetic algorithm—for the regenerator location problem (RLP) are presented.

TL;DR: Numerical results show that dispatching while considering call priorities, rather than dispatching the closest units, improves EMS system effectiveness and a heuristic algorithm is developed for large-scale problems.

TL;DR: Results show that compatibility factor of a product with online marketing, difference between manufacturer's online price and wholesale price, effectiveness of advertising, marginal profits, and cost of advertising all have significant effects on the advertising decisions in the equilibrium.

TL;DR: An integrated model to establish a theoretical benchmark for performance of the entire supply chain and two heuristics H-I and H-II are suggested that bring about near-optimal feasible solutions.

TL;DR: An integrated approach based on the analytic hierarchy process (AHP) and multichoice goal programming (MCGP) model was proposed to construct an efficient course plan following the Bologna process and was applied in an industrial engineering department.

TL;DR: This paper proposes a new hybrid parallel genetic algorithm with specialized crossover and mutation operators utilizing path-relinking concepts from combinatorial optimization approaches and tabu search in particular and compares fairly well with some of the best-performing genetic algorithms for the JSSP.

TL;DR: The conditions for the existence and uniqueness of an optimal solution are proved for the nonintegrated and collaborative replenishment policy, and an efficient solution procedure is developed to determine the optimal results and coordination of the inventory model.

TL;DR: The features of the OWA method are examined in light of Milnor's set of requirements for reasonable decision criteria, thus providing a solid methodological foundation for the DMUU.

TL;DR: An output-oriented nonincreasing returns to scale super-efficiency data envelopment analysis (DEA) model is proposed in order to measure football players’ performance and applied empirically to Real Madrid's best players from the signing of Luis Molowny to Raul Gonzalez's departure.

TL;DR: This paper proposes to solve the three-dimensional single bin-size bin packing problem (3D-SBSBPP) using a simple strategy based on integer linear programming (ILP) heuristics, without using any improvement based on metaheuristics.

TL;DR: It is confirmed that even with competition, firms optimally price high in the short term to generate a high reference price and then decrease this price over time, and it is shown that pricing optimally to take advantage of reference prices generates a positive externality for other firms in an industry, such that competitors may generate higher profit.

TL;DR: This article uses integer linear programming to address the referee assignment problem in the First Division of the Chilean professional football league, using pattern-based formulation inspired by the home-away patterns for scheduling season match calendars.

TL;DR: Two mathematical programming models are presented that act as virtual coaches that choose a virtual team lineup for each round of the real Argentinian soccer league and achieve results that positioned it among the highest scoring participants.

TL;DR: The aim is to identify regional hubs that would accumulate traffic and feed a predefined restricted number of major hubs to support a larger number of commercial airports, and face the expected peak demand in the upcoming international events.

TL;DR: This paper considers a multicriteria decision-making scenario in which the outcomes of the decisions, evaluated on different criteria, are uncertain and presents decision makers with a tool that shows the tradeoff between expected payoff and downside risk.

TL;DR: A context-dependent range-adjusted measure (RAM) model is proposed for policy makers and bank managers to provide a reliable means of exploring operational performance in different evaluative contexts, taking into consideration negative and undesirable outputs.

TL;DR: This contribution proposes some DEA models in which the input and output variables are focused on the main determinants of investments in socially responsible investing (SRI) mutual funds, and a constant initial capital and the final value of the investment are considered.

TL;DR: This paper sets up fundamentals to model the portfolio's Beta as a random variable and proposes a multiple objective stochastic portfolio selection model with random Beta, which is applied to solve the proposed model with stochastically goal programming approach.

TL;DR: A hybrid bidirectional ant- based approach is proposed in this paper, which is an improvement of a bi-colony ant-based approach and combines a solution construction developed for a more complicated problem with a Pareto-guided local search engine.