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An efficient solver for large-scale onshore wind farm siting including cable routing Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-05-03 Jaap Pedersen, Jann Michael Weinand, Chloi Syranidou, Daniel Rehfeldt
Existing planning approaches for onshore wind farm siting and grid integration often do not meet minimum cost solutions or social and environmental considerations. In this paper, we develop an exact approach for the integrated layout and cable routing problem of onshore wind farm planning using the Quota Steiner tree problem. Applying a novel transformation on a known directed cut formulation, reduction
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Benders decomposition for the discrete ordered median problem Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-29 Ivana Ljubić, Miguel A. Pozo, Justo Puerto, Alberto Torrejón
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Railway crew planning with fairness over time Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-29 B.T.C. van Rossum, T. Dollevoet, D. Huisman
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Determinism versus uncertainty: Examining the worst-case expected performance of data-driven policies Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-27 Xuecheng Tian, Shuaian Wang, Gilbert Laporte, Ying Yang
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Large-scale robust regression with truncated loss via majorization-minimization algorithm Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-27 Ling-Wei Huang, Yuan-Hai Shao, Xiao-Jing Lv, Chun-Na Li
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Repositioning to sink: The pricing and quality decisions for product line considering the sinking market Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-27 Yusheng Wang, Yongjian Li, Shuangshuang Xu
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Optimal energy collection with rotational movement constraints in concentrated solar power plants Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-27 José-Miguel Díaz-Báñez, José-Manuel Higes-López, Miguel-Angel Pérez-Cutiño, Juan Valverde
In concentrated solar power (CSP) plants based on parabolic trough collectors (PTC), the sun is tracked at discrete time intervals, with each interval representing a movement of the collector system. The act of moving heavy mechanical structures can lead to the development of cracks, bending, and/or displacement of components from their optimal optical positions. This, in turn, diminishes the overall
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Explainable Analytics for Operational Research Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-24 Koen W. De Bock, Kristof Coussement, Arno De Caigny
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Rank-1 transition uncertainties in constrained Markov decision processes Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-24 V Varagapriya, Vikas Vikram Singh, Abdel Lisser
We consider an infinite-horizon discounted constrained Markov decision process (CMDP) with uncertain transition probabilities. We assume that the uncertainty in transition probabilities has a rank-1 matrix structure and the underlying uncertain parameters belong to a polytope. We formulate the uncertain CMDP problem using a robust optimization framework. To derive reformulation of the robust CMDP problem
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Electric vehicle supply equipment location and capacity allocation for fixed-route networks Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-23 Amir Davatgari, Taner Cokyasar, Anirudh Subramanyam, Jeffrey Larson, Abolfazl (Kouros) Mohammadian
Electric vehicle (EV) supply equipment location and allocation (EVSELCA) problems for freight vehicles are becoming more important because of the trending electrification shift. Some previous works address EV charger location and vehicle routing problems simultaneously by generating vehicle routes from scratch. Although such routes can be efficient, introducing new routes may violate practical constraints
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A robust optimization approach for a two-player force-design game Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-23 Jeffrey Christiansen, Andreas T. Ernst, Janosch Rieger
We present a new approach to force design that relies on robust decision making with a min–max objective, rather than assumptions about the goals and strategy of an opponent. This idea is explored mathematically in the framework of a round-based two-player Stackelberg game representing an arms race, which features the acquisition of assets by both players and an evaluation of the defensive capability
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Robust two-stage optimization consensus models with uncertain costs Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-22 Huanhuan Li, Ying Ji, Jieyu Ding, Shaojian Qu, Huijie Zhang, Yuanming Li, Yubing Liu
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Inventory reallocation in a fashion retail network: A matheuristic approach Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-21 Paolo Brandimarte, Giuseppe Craparotta, Elena Marocco
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Constructing order-2 information granules of linguistic expressions with the aid of the principle of justifiable granularity Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-21 Ting Huang, Witold Pedrycz, Qiang Zhang, Xiaoan Tang, Shanlin Yang
To capture collective opinions/evaluations in a collection of individual linguistic expressions, this study proposes an approach to construct order-2 information granules by extending the numerical data-based principles of justifiable granularity to a linguistic data-based one. First, the two key criteria of the principle of justifiable granularity, namely coverage and specificity, are formally defined
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A survey on the Traveling Salesman Problem and its variants in a warehousing context Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-21 Stefan Bock, Stefan Bomsdorf, Nils Boysen, Michael Schneider
With the advent of e-commerce and its fast-delivery expectations, efficiently routing pickers in warehouses and distribution centers has received renewed interest. The processes and the resulting routing problems in this environment are diverse. For instance, not only human pickers have to be routed but also autonomous picking robots or mobile robots that accompany human pickers. Traditional picker
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On cone-based decompositions of proper Pareto-optimality in multi-objective optimization Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-20 Marlon Braun, Pradyumn Shukla
In recent years, research focus in multi-objective optimization has shifted from approximating the Pareto optimal front in its entirety to identifying solutions that are well-balanced among their objectives. Proper Pareto optimality is an established concept for eliminating Pareto optimal solutions that exhibit unbounded tradeoffs. Imposing a strict tradeoff bound in a classical definition of proper
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Ranking voting systems and surrogate weights: Explicit formulas for centroid weights Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-20 Bonifacio Llamazares
One of the most important issues in the field of ranking voting systems is the choice of the weighting vector. This issue has been addressed in the literature from different approaches, and one of them has been to obtain the weighting vector as a solution to a linear programming problem. In this paper we analyze some models proposed in the literature and show that one of their main shortcomings is
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A hybrid genetic search and dynamic programming-based split algorithm for the multi-trip time-dependent vehicle routing problem Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-19 Jingyi Zhao, Mark Poon, Vincent Y.F. Tan, Zhenzhen Zhang
We design a hybrid algorithm for the multi-trip time-dependent vehicle routing problem (MT-TD-VRP). One of its components is the Time-Dependent SPlit Algorithm (TD-SPA), which is a dynamic programming-based algorithm specifically designed to handle both the per vehicle and the aspects of the problem. The hybrid algorithm combines the proposed TD-SPA, designed to efficiently split a giant tour into
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Optimizing service networks to support freight rail decarbonization: Flow selection, facility location, and energy sourcing Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-16 Adrian Hernandez, Max Ng, Pablo L. Durango-Cohen, Hani S. Mahmassani
We present a framework to support decarbonization of energy intensive transportation systems offering periodic service on expansive networks (e.g., freight rail, trucking, and intercity bus services). The framework consists of two optimization problems that respectivelyaddress (i) flow selection and facility location, and (ii) energy sourcing/procurement at the service facilities to enable the selected
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Skill development in the field of scheduling: A structured literature review Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-12 Patricia Heuser, Peter Letmathe, Thomas Vossen
Employee skills are seen as a main driver of competitive advantages of enterprises. This article provides a state-of-the-art overview of research related to skill management in the field of operational research. For this purpose, ‘skill management’ is used as an umbrella term to integrate the different quantitative approaches found in this field. The structured literature review is based on six keywords
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Problem-based scenario generation by decomposing output distributions Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-12 Benjamin S. Narum, Jamie Fairbrother, Stein W. Wallace
Scenario generation is required for most applications of stochastic programming to evaluate the expected effect of decisions made under uncertainty. We propose a novel and effective problem-based scenario generation method for two-stage stochastic programming that is agnostic to the specific stochastic program and kind of distribution. Our contribution lies in studying how an output distribution may
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Forecasting and planning for a critical infrastructure sector during a pandemic: Empirical evidence from a food supply chain Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-10 Tariq Aljuneidi, Sushil Punia, Aida Jebali, Konstantinos Nikolopoulos
The meat supply chain (MSC) – a key constituent of the ‘Food & Agriculture’ CISA critical infrastructure sector, was among the most impacted by the COVID-19 pandemic. The witnessed successive demand and supply shocks uncovered the fragility of the MSC and revealed that more attention should be given by researchers and practitioners to ensure effective planning of such a critical infrastructure sector
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Individualized second stage corrections in data envelopment analysis Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-10 Mohsen Afsharian, Sara Kamali, Heinz Ahn, Peter Bogetoft
In the context of two-stage data envelopment analysis (DEA) for efficiency correction, we shift the focus from the common central tendency orientation in its second stage to an individually oriented procedure. We propose to evaluate the influence of contextual variables on each unit's performance relative to the other operating units. This results in an alternative approach in which the second stage
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An exact method for a last-mile delivery routing problem with multiple deliverymen Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-10 Fernando Senna, Leandro C. Coelho, Reinaldo Morabito, Pedro Munari
The demand for efficient last-mile delivery systems in large cities creates an opportunity to develop innovative logistics schemes. In this paper, we study a problem in which each vehicle may travel with more than one deliveryman to serve multiple customers with a single stop of the vehicle, increasing the delivery efficiency. We extend the vehicle routing problem with time windows and multiple deliverymen
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50 years of metaheuristics Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-09 Rafael Martí, Marc Sevaux, Kenneth Sörensen
In this paper, we review the milestones in the development of heuristic methods for optimization over the last 50 years. We propose a critical analysis of the main findings and contributions, mainly from a European perspective. Starting with the roots of the area that can be traced back to the classical philosophers, we follow the historical path of heuristics and metaheuristics in the field of operations
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A generic approach to conference scheduling with integer programming Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-06 Yaroslav Pylyavskyy, Peter Jacko, Ahmed Kheiri
Conferences are a key aspect of communicating knowledge, and their schedule plays a vital role in meeting the expectations of participants. Given that many conferences have different constraints and objectives, different mathematical models and heuristic methods have been designed to address rather specific requirements of the conferences being studied per se. We present a penalty system that allows
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Supply chain coordination in a dual sourcing system under the Tailored Base-Surge policy Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-04 Kilani Ghoudi, Younes Hamdouch, Youssef Boulaksil, Sadeque Hamdan
In this paper, we study the coordination of a dual sourcing supply chain comprising a buyer and two suppliers: a regular and an expedited one. The suppliers differ in lead time and cost, with the expedited supplier offering a shorter lead time at a higher cost than the regular supplier. The buyer uses the Tailored Base-Surge inventory policy, ordering every period a fixed quantity from the regular
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Accelerated Double-Sketching Subspace Newton Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-03 Jun Shang, Haishan Ye, Xiangyu Chang
This paper proposes a second-order stochastic algorithm called Accelerated Double-Sketching Subspace Newton (ADSSN) to solve large-scale optimization problems with high dimensional feature spaces and substantial sample sizes. The proposed ADSSN has two computational superiority. First, ADSSN achieves a fast local convergence rate by exploiting Nesterov’s acceleration technique. Second, by taking full
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Robust decisions for heterogeneous agents via certainty equivalents Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-03 Anne G. Balter, Nikolaus Schweizer
We study the problem of a planner who resolves risk–return trade-offs – like financial investment decisions – on behalf of a collective of agents with heterogeneous risk preferences. The planner’s objective is a two-stage utility functional where an outer utility function is applied to the distribution of the agents’ certainty equivalents from a given decision. Assuming lognormal risks and heterogeneous
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Blockchain adoption and optimal reinsurance design Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-04-01 Hamed Amini, Romain Deguest, Engin Iyidogan, Andreea Minca
We study blockchain adoption in insurance–reinsurance markets. We consider operational costs related to claim verification and record-keeping. Traditionally, the majority of these costs scale linearly with the volume of claims. Instead, with a consortium blockchain these costs, per firm, become independent of claim volume and decrease with the adoption rate since they are distributed. In a consortium
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Home chemotherapy delivery: An integrated production scheduling and multi-trip vehicle routing problem Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-28 Yasemin Arda, Diego Cattaruzza, Véronique François, Maxime Ogier
Home chemotherapy systems allow the administration of cancer treatments at a patient’s residence, avoiding an admission to inpatient care facilities. This innovative health care model is interesting both economically and on a human level. It also raises several logistical challenges. This paper focuses on one of the optimization problems arising in the context of home chemotherapy services, where a
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2024 Editors’ awards for excellence in reviewing Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-28 Roman Słowiński Co-ordinating Editor
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Configuring systems to be viable in a crisis: The role of intuitive decision-making Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-28 Ayham Fattoum, Simos Chari, Duncan Shaw
Decision-making in complex systems becomes even more challenging when the environment creates volatile, uncertain, complex, and ambiguous conditions that disrupt operations. In these settings, the viable system model (VSM) advocates that delegated autonomy, appropriately calibrated, can help decision-makers deal with disruptions quickly to preserve system viability and performance. However, the delegated
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Working along both lines? The relationship between government green publicity and emissions tax Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-27 Liqun Wei, Libin Zhang, Wanying Wei, Xiaohong Chen, Kai Wang
Emissions reduction has long been the most concerning environmental issue. To promote emissions reduction among firms, governments have adopted mandatory tools such as emissions tax and voluntary guidance such as government green publicity. This paper investigates the interaction between emissions tax and government green publicity and analyzes the optimal decisions when the government combines these
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Mathematical programming for simultaneous feature selection and outlier detection under l1 norm Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-26 Michele Barbato, Alberto Ceselli
The goal of simultaneous feature selection and outlier detection is to determine a sparse linear regression vector by fitting a dataset possibly affected by the presence of outliers.
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Biased random-key genetic algorithms: A review Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-26 Mariana A. Londe, Luciana S. Pessoa, Carlos E. Andrade, Mauricio G.C. Resende
This paper is a comprehensive literature review of Biased Random-Key Genetic Algorithms (BRKGA). BRKGA is a metaheuristic that employs random-key-based chromosomes with biased, uniform, and elitist mating strategies in a genetic algorithm framework. The review encompasses over 150 papers with a wide range of applications, including classical combinatorial optimization problems, real-world industrial
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The Impact of Platform’s Information Sharing on Manufacturer Encroachment and Selling Format Decision Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-25 Canran Gong, Joshua Ignatius, Huaming Song, Junwu Chai, Steven James Day
Motivated by recent practice observations, we consider an incumbent manufacturer who has an existing wholesale contract with an e-commerce platform, which the latter sells as a private label product in its online marketplace. In this context, the manufacturer launches its follower product, which will coexist alongside the private label product on the platform. We study the interplay between the manufacturer’s
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Vehicle routing with stochastic demand, service and waiting times — The case of food bank collection problems Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-24 Meike Reusken, Gilbert Laporte, Sonja U.K. Rohmer, Frans Cruijssen
Food banks play an important role both in combating food waste, and in alleviating hunger. However, due to the many uncertainties that food banks face, they often struggle to effectively collect all food items that donors such as supermarkets are willing to provide. To tackle this problem, we introduce the capacitated vehicle routing problem with travel time restrictions and stochastic demand, service
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Corrigendum to “A New Formulation and a Branch-and-Cut Algorithm for the Set Orienteering Problem” [European Journal of Operational Research, Volume 314, Issue 2, 16 April 2024, Pages 446-465] Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-22 C. Archetti, F. Carrabs, R. Cerulli, F. Laureana
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Trust exploration- and leadership incubation- based opinion dynamics model for social network group decision-making: A quantum theory perspective Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-21 Peng Wang, Peide Liu, Yueyuan Li, Fei Teng, Witold Pedrycz
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Maximizing the net present value of a project under uncertainty: Activity delays and dynamic policies Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-20 Salim Rostami, Stefan Creemers, Roel Leus
We study a project with stochastic activity durations and cash flows; we model the uncertainty using discrete scenarios. The project entails precedence-related activities, each of which incurs a cash flow that may be positive (inflow) or negative (outflow). The problem is to find a scheduling policy that maximizes the expected net present value of the project. A scheduling policy decides the starting
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Frequency regulation with storage: On losses and profits Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-20 Dirk Lauinger, François Vuille, Daniel Kuhn
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Bi-level optimisation of subsidy and capacity investment under competition and uncertainty Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-19 Zixuan Zhang, Michail Chronopoulos, Ioannis Kyriakou, Dimitrina S. Dimitrova
In this paper, we develop a bi-level real options framework for deriving the equilibrium Government subsidisation and firm-level capacity investment policy in a duopoly market structure. We find that strategic interactions with the Government may impact a firm’s capacity investment decision significantly and that the equilibrium subsidisation policy depends on both the market structure and the type
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Competition under demand uncertainty: The roles of technology and capacity strategy Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-19 Liu Yang, Chi To Ng, T.C.E. Cheng, Mingyao Sun, Xuefeng Shao, Ruiqing Li
To uncover the secrets of creating competitive advantage for firms under demand uncertainty, we study the roles of technology level and capacity investment strategies. Specifically, we analyze the Nash equilibrium of two competing firms at different technology levels under two capacity investment strategies, namely flexible or inflexible. We examine both symmetrical competition where the two firms
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Integer optimization models and algorithms for the multi-period non-shareable resource allocation problem Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-18 Jongyoon Park, Jinil Han, Kyungsik Lee
The resource allocation problem (RAP) determines a solution to optimally allocate limited resources to several activities or tasks. In this study, we propose a novel resource allocation problem referred to as multi-period non-shareable resource allocation problem (MNRAP), which is motivated by the characteristics of resources considered in the stem cell culture process for producing stem cell therapeutics
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50 years of warehousing research—An operations research perspective Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-18 Nils Boysen, René de Koster
Warehouses have always been an essential part of supply chains, but despite their fundamental role they were not seen as especially mission critical. With the advent of e-commerce, same-day deliveries, omni-channel retailing, and global supply chain disruptions, however, this assessment has changed, and today’s warehouses have evolved to technology-enriched fulfillment factories with strategic relevance
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Propensity score oversampling and matching for uplift modeling Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-16 Carla Vairetti, Franco Gennaro, Sebastián Maldonado
In this paper, we propose a novel matching strategy to correct for confounding in uplift modeling. Our method, called propensity score oversampling and matching (ProSOM), extends the well-known propensity score matching (PSM) technique by addressing one of its main limitations: dealing with small datasets that face an imbalance in the distribution of the causal variable. Apart from this, we also face
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A note on Steuer and Utz’s (2023) multi-objective optimization approach for generating sustainability-efficient fronts Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-16 Marcel Marohn, Benjamin R. Auer
Motivated by the increasing importance of sustainability in investing, Steuer and Utz (2023) propose a new approach for integrating environmental, social and governance (ESG) scores into the portfolio selection process. These authors claim that their multi-objective portfolio optimization problem always provides mean-variance-ESG-efficient solutions because it belongs to the class of -constraint problems
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Coordinating scheduling and rejection decisions in a two-machine flow shop scheduling problem Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-16 Dvir Shabtay, Enrique Gerstl
We study a two-machine flow shop scheduling problem where any operation can be rejected at a certain cost. A solution for such a problem requires two sets of decisions. The first involves the partition of the set of operations into two subsets: the set of operations that are accepted for scheduling in the shop, and the set of rejected operations. The second decision involves scheduling the set of accepted
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A survey of contextual optimization methods for decision-making under uncertainty Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-15 Utsav Sadana, Abhilash Chenreddy, Erick Delage, Alexandre Forel, Emma Frejinger, Thibaut Vidal
Recently there has been a surge of interest in operations research (OR) and the machine learning (ML) community in combining prediction algorithms and optimization techniques to solve decision-making problems in the face of uncertainty. This gave rise to the field of contextual optimization, under which data-driven procedures are developed to prescribe actions to the decision-maker that make the best
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Platform financing versus bank financing: “When to choose which” for green production systems Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-13 Xiaoping Xu, Xinyang Chen, Tsan-Ming Choi, T.C.E. Cheng
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A comparison of chance-constrained data envelopment analysis, stochastic nonparametric envelopment of data and bootstrap method: A case study of cultural regeneration performance of cities Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-13 Sheng-Wei Lin, Wen-Min Lu
This study comprehensively compares three efficiency measurement methods—chance-constrained data envelopment analysis (CCDEA), stochastic nonparametric envelopment of data (StoNED), and the bootstrap method—in the context of the cultural regeneration performance of cities. The research examines these methods’ methodological differences, advantages, and disadvantages with a focus on uncertainty handling
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Worst-case risk measures of stop-loss and limited loss random variables under distribution uncertainty with applications to robust reinsurance Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-12 Jun Cai, Fangda Liu, Mingren Yin
Stop-loss and limited loss random variables are two important transforms of a loss random variable and appear in many modeling problems in insurance, finance, and other fields. Risk levels of a loss variable and its transforms are often measured by risk measures. When only partial information on a loss variable is available, risk measures of the loss variable and its transforms cannot be evaluated
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Energy-saving time allocation strategy with uncertain dwell times in urban rail transit: Two-stage stochastic model and nested dynamic programming framework Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-12 Deheng Lian, Pengli Mo, Andrea D’Ariano, Ziyou Gao, Lixing Yang
During practical operations, the urban rail transit system suffers from various uncertainties, particularly uncertain dwell times, which significantly impact the execution of the timetable and affect its performance, regarding train energy consumption and timetable stability. Using multi-scenario dwell times to capture its uncertainty, in this study, a two-stage chance-constrained stochastic model
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Iterated local search with ejection chains for the space-free multi-row facility layout problem Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-12 Song Wu, Wei Yang, Saïd Hanafi, Christophe Wilbaut, Yang Wang
This paper presents an iterated local search algorithm based on ejection chains to solve the space-free multi-row facility layout problem. The aim of this problem is to find a non-overlapping layout of facilities on a given number of rows such that there is no space between two adjacent facilities. In addition, the left-most facility of the arrangement must have zero abscissa. Our algorithm looks for
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Clinical site selection problems with probabilistic constraints Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-11 Anh Ninh, Yunhong Bao, Daniel McGibney, Tuan Nguyen
Recruiting candidates globally and across multiple sites in different geographic regions is necessary to speed up the enrollment of clinical trials. While patient enrollment can benefit from this globalization, initiating clinical trials has become much more complicated. In the start-up stage, the sites must be selected out of a set of potential candidates around the globe based on the specifics of
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A branch-and-price algorithm for unrelated parallel machine scheduling with machine usage costs Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-11 Jianfu Chen, Chengbin Chu, Abderrahim Sahli, Kai Li
This paper considers unrelated parallel machine scheduling involving machine usage costs, in addition to classic job completion time-related costs. The usage cost of each machine is made up of a fixed usage cost and a variable usage cost proportional to the total processing time of the jobs assigned to it. These features model many practical situations where machine usage costs include, for example
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Towards the development of an explainable e-commerce fake review index: An attribute analytics approach Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-11 Ronnie Das, Wasim Ahmed, Kshitij Sharma, Mariann Hardey, Yogesh K. Dwivedi, Ziqi Zhang, Chrysostomos Apostolidis, Raffaele Filieri
Instruments of corporate risk and reputation assessment tools are quintessentially developed on structured quantitative data linked to financial ratios and macroeconomics. An emerging stream of studies has challenged this norm by demonstrating improved risk assessment and model prediction capabilities through unstructured textual corporate data. Fake online consumer reviews pose serious threats to
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Instance generation tool for on-demand transportation problems Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-11 Michell Queiroz, Flavien Lucas, Kenneth Sörensen
We present REQreate, a tool to generate instances for on-demand transportation problems. Such problems consist of optimizing vehicle routes according to passengers’ demand for transportation under space and time restrictions (called requests). REQreate is flexible and can be configured to generate instances for a variety of problems types in this problem class. In this paper, we exemplify this with
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Game of banks - biform game theoretical framework for ATM network cost sharing Eur. J. Oper. Res. (IF 6.4) Pub Date : 2024-03-11 Tri-Dung Nguyen
Automated teller machines (ATM) play a major role in the world economy as they enable financial transactions and hence good exchanges and consumption. ATM transaction fees are incurred to cover the cost of running the network and these are often settled among the members including banks and cash machine operators. In this paper, we develop a novel biform game theoretic model for members to optimally