Showing papers in "European Journal of Operational Research in 2014"

TL;DR: Conclusions are drawn showing that numerous possibilities and insights can be gained from expanding the types of tools and factors considered in formal modeling efforts.

TL;DR: An overview of developments in robust optimization since 2007 is provided to give a representative picture of the research topics most explored in recent years, highlight common themes in the investigations of independent research teams and highlight the contributions of rising as well as established researchers both to the theory of robust optimization and its practice.

TL;DR: A review of recent research on green road freight transportation is provided to provide an understanding of vehicle emission models and their inclusion into the existing optimization methods.

TL;DR: This paper proposes a framework using Fuzzy TOPSIS to select green suppliers for a Brazilian electronics company; this framework is built on the criteria of green supply chain management (GSCM) practices.

TL;DR: This paper analyzes the recent literature on the standard LRP and new extensions such as several distribution echelons, multiple objectives or uncertain data and results of state-of-the-art metaheuristics are compared on standard sets of instances for the classical LRP, the two-echelon L RP and the truck and trailer problem.

TL;DR: This paper presents a structured overview of the multimodal transportation literature from 2005 onward, where it focuses on the traditional strategic, tactical, and operational levels of planning, where the relevant models and their developed solution techniques are presented.

TL;DR: This paper reviews studies on network DEA by examining the models used and the structures of the network system of the problem being studied, and highlights some directions for future studies from the methodological point of view.

TL;DR: Some of the approaches developed to address the challenges encountered when using portfolio optimization in practice are reviewed, including the inclusion of transaction costs, portfolio management constraints, and the sensitivity to the estimates of expected returns and covariances.

TL;DR: Most of the papers in the field of supply chain network design focus on economic performance, but recently, some studies have considered environmental dimensions.

TL;DR: An adaptive large neighborhood search algorithm (ALNS), combined with a speed optimization procedure, to solve the bi-objective PRP and shows that HM is highly effective in finding good-quality non-dominated solutions on PRP instances with 100 nodes.

TL;DR: The proposed Unified Hybrid Genetic Search metaheuristic relies on problem-independent unified local search, genetic operators, and advanced diversity management methods and shows remarkable performance, which matches or outperforms the current state-of-the-art problem-tailored algorithms.

TL;DR: An in-depth overview of storage yard operations, including the material handling equipment used, is presented, and current industry trends and developments are highlights and new avenues for academic research are identified.

TL;DR: A cosine maximization method (CM) based on similarity measure is proposed, which maximizes the sum of the cosine of the angle between the priority vector and each column vector of a PCM to derive the reliable priority vector.

TL;DR: A grey analytical network process-based (grey ANP-based) model is introduced to identify green supplier development programs that will effectively improve suppliers’ performance and is comprehensively evaluated with explicit consideration of suppliers�’ involvement propensity levels.

TL;DR: An in-depth overview of transport operations and the material handling equipment used is presented, current industry trends and developments are highlighted, and a new classification scheme for transport operation and scientific journal papers published up to 2012 is proposed.

TL;DR: Overall, the results indicates that a simple autoregressive specification mimicking long memory and using past realized variances as predictors does not perform significantly worse than more sophisticated models which include the various components of realized variance.

TL;DR: A Hadamard product induced bias matrix model is proposed, which only requires the use of the data in the original matrix to identify and adjust the cardinally inconsistent element(s) in a PCM and significantly enhances matrix consistency and improves the reliability of PCM decision making.

TL;DR: An analytical model is defined used to explore the implications of recycling on the reverse supply chain from an efficiency perspective for all participants in the process and shows that performance measures and total supply chain profits improve through coordination with revenue sharing contracts on both two- and three-echelon reverse supply chains.

TL;DR: This paper reviews a half-century of research on mean–variance approximations to expected utility and concludes that the many studies in this field have been generally supportive of mean-variance analysis, subject to certain (initially unanticipated) caveats.

TL;DR: This paper extends the concept of minmax robustness to multi-objective optimization and calls this extension robust efficiency for uncertain multi- objective optimization problems, and uses ingredients from robust (single objective) and (deterministic) multi-Objective optimization to gain insight into the new area of robust multi- Objective optimization.

TL;DR: The paper surveys the literature on cooperative advertising in marketing channels (supply chains) using game theoretic methods and finds that this literature has expanded considerably and has studied static as well as dynamic settings.

TL;DR: This paper presents a scatter search (SS) method for this problem to optimize makespan and shows that the proposed scatter search algorithm produces better results than existing algorithms by a significant margin.

TL;DR: A new additive consistency definition for interval fuzzy preference relations is proposed and novel linear programming models are established to demonstrate the generation of interval weights from an intervals fuzzy preference relation.

TL;DR: In this article, the authors consider a two-period closed-loop supply chain (CLSC) game where a remanufacturer appropriates of the returns' residual value and decides whether to exclusively manage the end-of-use product collection or to outsource it to either a retailer or a third-service provider (3P).

TL;DR: A corresponding decision support model is developed that minimizes the sum of completion times of incidents weighted by their severity and can be reduced by up to 81.8%.

TL;DR: This paper considers conceptual and mathematical models in which people and parcels are handled in an integrated way by the same taxi network, which has a potential to alleviate urban congestion and environmental pollution.

TL;DR: An economic order quantity model for the retailer is proposed where the retailer’s optimal credit period and cycle time not only exist but also are unique and several special cases are discussed including for non-deteriorating items.

TL;DR: It is found that forecasting accuracy is influenced as follows: for fast-moving data, cycle and randomness have the biggest (negative) effect and the longer the forecasting horizon, the more accuracy decreases, and for intermittent data, inter-demand interval has bigger impact than the coefficient of variation.

TL;DR: This paper reviews the variety of LP solvable portfolio optimization models presented in the literature, the real features that have been modeled and the solution approaches to the resulting models, in most of the cases mixed integer linear programming (MILP) models.

TL;DR: The current paper uses the cross-efficiency concept in DEA to approach cost and resource allocation problems, and shows that the proposed iterative approach is always feasible, and ensures that all DMUs become efficient after the fixed cost is allocated as an additional input measure.