Showing papers in "European Journal of Operational Research in 2022"

TL;DR: This paper provides a review on the use of machine learning techniques in the design of different elements of meta-heuristics for different purposes including algorithm selection, fitness evaluation, initialization, evolution, parameter setting, and cooperation.

TL;DR: In this paper , a review on the use of machine learning techniques in the design of different elements of meta-heuristics for different purposes including algorithm selection, fitness evaluation, initialization, evolution, parameter setting, and cooperation is presented.

TL;DR: The resource-constrained project scheduling problem is to schedule activities subject to precedence and resource constraints such that the makespan is minimized as discussed by the authors , which is a rather stylized model with assumptions that are too narrow to capture many real world requirements.

TL;DR: In this article, a penalised logistic tree regression (PLTR) model is proposed to capture non-linear effects that can arise in credit scoring data while preserving the intrinsic interpretability of the logistic regression model.

TL;DR: In this article , a penalised logistic tree regression (PLTR) model is proposed to capture non-linear effects that can arise in credit scoring data while preserving the intrinsic interpretability of the logistic regression model.

TL;DR: A consensus-reaching approach based on maximum satisfaction under budget constraints for DMs with these two behaviors of tolerance and limited compromise is proposed, which suggests that the individual tolerance behavior has a higher impact on the consensus outcome than the compromise limit.

TL;DR: Using a case study from Electric Reliability Council of Texas (ERCOT), it is shown that the proposed tailored Benders decomposition outperforms the nested Bender decomposition in solving GEP and TEP simultaneously.

TL;DR: A distributionally robust chance-constrained optimization with a Wasserstein ambiguity set for energy and reserve dispatch is developed, and an exact reformulation is provided to achieve a cost-optimal yet reliable trade-off between reserve procurement and load curtailment.

TL;DR: If the manufacturer's production technology is enough environmentally friendly, the optimal sales mode in terms of economic sustainability certainly outperforms in environmental sustainability and the “ win-win-win” situation can be reached under either reselling or agency selling.

TL;DR: Wang et al. as mentioned in this paper proposed a consensus reaching process (CRP) approach for large-scale group decision-making based on bounded confidence and social network to manage experts' opinions.

TL;DR: Wang et al. as discussed by the authors proposed a consensus-reaching approach based on maximum satisfaction under budget constraints for decision-makers with tolerance and limited compromise when adjusting their opinions, which may lead to the actual decision deviating from the solution recommendation obtained by applying the current minimum cost consensus theory.

TL;DR: In this paper , the authors present a new methodology to lead the selection of multiple criterion decision analysis (MCDA) methods, which is implemented in the Multiple Criteria Decision Analysis Methods Selection Software (MCCDA-MSS), a decision support system that helps analysts answer a recurring question in decision science: "Which is the most suitable multiple criterion analysis method (or a subset of MCDA methods) that should be used for a given decision-making problem (DMP)?".

TL;DR: A procurement strategy that provides the social planner with two ordering opportunities and explore the conditions under which the two members would be willing to accept the strategy are proposed, showing that such a strategy is effective on improving the influenza vaccine supply chain coordination.

TL;DR: In this paper , the authors develop a game theory model with a multi-tier supply chain, which consists of a Tier 0 buyer, a direct Tier 1 supplier and an indirect Tier 2 supplier.

TL;DR: In this paper , the authors investigated how a manufacturer facing free riders should decide on channel differentiation strategy, i.e., selling homogeneous or differentiated products through his own online channel and via an independent retailer.

TL;DR: In this article , the authors compare two sales modes from economic and environmental perspectives and find that if the manufacturer's production technology is enough environmentally friendly, the optimal sales mode in terms of economic sustainability certainly outperforms in environmental sustainability.

TL;DR: A game-theoretic model develops to investigate how a blockchain platform's decision on its settings affects the competition between blockchain platforms as well as the participation behavior of customers and miners suggests that increasing the transaction fee alleviates congestion on the platform when customers have a relatively balanced need between efficiency and safety.

TL;DR: A Mixed Integer Linear Program (MILP) is proposed to find the closest efficient targets and that is related to a measure that satisfies the strong monotonicity property and is applied to real data from 38 universities involved in China's 985 university project.

TL;DR: In this article , the authors reviewed 43 articles related to the electric bus technologies and gave an overview of the different problems in the bus planning process (strategic, tactical and operational ).

TL;DR: A survey of parallel batching problems can be found in this paper , where the authors provide a taxonomy of the most common problems and a discussion of current trends in scheduling jobs on machines with parallel batch processing.

TL;DR: In this paper , the authors explore the existing work and future potential of prescriptive analytics for stochastic dynamic vehicle routing problems and identify the characteristics of decision models and information models unique in SDVR routing and analyze how different methodology meets the characteristics' requirements.

TL;DR: In this article , a min-cost Parallel Drone Scheduling Vehicle Routing Problem (PDSVRP) is introduced, where the objective is to minimize the total transportation costs.

TL;DR: Results indicate that the logic-based Benders decomposition method is able to return high-quality schedules for solving seru scheduling problems.

TL;DR: In this article , the joint dynamic pricing and inventory problem for a dual-channel supply chain with one manufacturer and one retailer, where the demand is stochastic and price sensitive, is studied.

TL;DR: In this paper , the authors investigate the impact of blockchain on competitive retailers' strategic pricing, and establish a retailer competition model including an initial retailer and an entrant retailer both of whom can decide whether to apply the blockchain technology.

TL;DR: A survey of the assembly line balancing problem can be found in this article , where the authors cover all essential stages of the decision-making process: they address novel methods to efficiently gather the relevant (precedence graph) data, especially new problem variants and models treated in the literature, and survey the most important algorithmic developments.

TL;DR: In this paper , a game-theoretic model was developed for a dual-channel reverse supply chain consisting of a recycling company and a third-party collector in which the recycling company purchases products not only through a third party collector, but also directly from consumers online.

TL;DR: By building a stylized analytical model, it is discovered that the “linear tax” can help balance the DfE level, the stakeholders’ benefits and the social welfare performance and can be regarded as the best.

TL;DR: In this paper , a distributionally robust chance-constrained optimization with a Wasserstein ambiguity set for energy and reserve dispatch is proposed to provide performance guarantees when the distribution of uncertain parameters is not perfectly known.

TL;DR: Wang et al. as discussed by the authors proposed a Mixed Integer Linear Program (MILP) to find the closest efficient targets and that is related to a measure that satisfies the strong monotonicity property.