European Journal of Operational Research
Papers 10,000
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#1Nikita Kozodoi (HU: Humboldt-Universität zu Berlin)H-Index: 2
#2Johannes JacobH-Index: 1
Last. Stefan LessmannH-Index: 23
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The rise of algorithmic decision-making has spawned much research on fair machine learning (ML). Financial institutions use ML for building risk scorecards that support a range of credit-related decisions. Yet, the literature on fair ML in credit scoring is scarce. The paper makes two contributions. First, we provide a systematic overview of algorithmic options for incorporating fairness goals in the ML model development pipeline. In this scope, we also consolidate the space of statistical fairn...
#1Fernando Lejarza (The University of Texas at Austin)H-Index: 4
#2Michael Baldea (The University of Texas at Austin)H-Index: 32
Abstract Improved supply chain optimization strategies can play a major role in addressing global food security and safety in years to come. In particular, tighter safety regulations, changing consumer quality requirements and more stringent market competition call upon integrated supply chain decision-making frameworks that explicitly consider product quality control. This effort requires metrics of quality that accurately reflect product physico-chemical properties, as well as consumer purchas...
#1T. Böttger (FAU: University of Erlangen-Nuremberg)H-Index: 1
#2Veronika Grimm (FAU: University of Erlangen-Nuremberg)H-Index: 18
Last. Maike Schmidt (University of Trier)H-Index: 2
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Abstract null null Liberalized gas markets in Europe are organized as entry-exit regimes so that gas trade and transport are decoupled. The decoupling is achieved via the announcement of technical capacities by the transmission system operator (TSO) at all entry and exit points of the network. These capacities can be booked by gas suppliers and customers in long-term contracts. Only traders who have booked capacities up-front can “nominate” quantities for injection or withdrawal of gas via a day...
#1Fausto Balderas (ITCM: Instituto Tecnológico de Ciudad Madero)H-Index: 2
#2Eduardo Fernandez (UAdeC: Autonomous University of Coahuila)H-Index: 18
Last. Nelson Rangel-Valdez (ITCM: Instituto Tecnológico de Ciudad Madero)H-Index: 8
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Abstract null null In this paper good consensus is associated with a high level of group satisfaction and a low level of dissatisfaction. A new method to improve consensus through a reformulation of the original group multi-objective optimization problem is introduced. For each point in the feasible decision set, the level of satisfaction or dissatisfaction from each group member is determined by multi-criteria ordinal classification approaches. Intense satisfaction and dissatisfaction are both ...
#1Harald Dyckhoff (RWTH: RWTH Aachen University)H-Index: 21
#2Rainer Souren (Ilmenau University of Technology)H-Index: 8
Abstract null null Accounting, life cycle assessment (LCA) and data envelopment analysis (DEA) are examples of various research areas that independently develop and apply diverse methodologies to evaluate performance. Though, many methods have in common that the results to be assessed are mainly determined by the inputs and outputs of the activities which are to be evaluated. Based on both production and decision theory, our comprehensive framework integrates and systematically distinguishes spe...
#1Anis YazidiH-Index: 12
#2Magdalena Ivanovska (BI Norwegian Business School)H-Index: 5
Last. Enrique Herrera Viedma (UGR: University of Granada)H-Index: 6
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Abstract null null Preference aggregation in Group Decision Making (GDM) is a substantial problem that has received a lot of research attention. Decision problems involving fuzzy preference relations constitute an important class within GDM. Legacy approaches dealing with the latter type of problems can be classified into indirect approaches, which involve deriving a group preference matrix as an intermediate step, and direct approaches, which deduce a group preference ranking based on individua...
#1Roshanak Mohammadivojdan (UF: University of Florida)H-Index: 1
Last. Joseph Geunes (TAMU: Texas A&M University)H-Index: 25
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Abstract null null We consider the problem of allocating procurement quantities for a required input to multiple suppliers in advance of a selling season with uncertain demand. Planning complexity is compounded by uncertainty in whether each supplier will deliver on time, in addition to the existence of an option for reserving capacity with a perfectly reliable supplier and the presence of a spot market for the input with an uncertain price. We apply analytical methods including two-stage stocha...
#1Joris van de Klundert (EUR: Erasmus University Rotterdam)H-Index: 23
#2Liana van der Hagen (EUR: Erasmus University Rotterdam)
Last. Aniek Markus (EUR: Erasmus University Rotterdam)
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Abstract null null Inequities in waiting times for deceased donor organ transplantation have received considerable attention in the last three decades and have motivated allocation policy reforms. This holds particularly true for kidney transplantation in the United States, where more than 90,000 patients are wait listed and average waiting times vary considerably among patients from different blood types and ethnic groups. This research presents a novel approach to formally model, analyze, and ...
#1Chiang Kao (NCKU: National Cheng Kung University)H-Index: 51
Abstract null null The efficiency calculated from the conventional slacks-based measure (SBM) model is the minimum in terms of efficiency scores, and the corresponding target point requires more effort for an inefficient decision making unit (DMU) to become efficient. To find the closest target point to the assessed DMU, several models have been proposed via calculating the maximum efficiency. This paper proposes a set of models to measure the maximum SBM efficiency for DMUs with multi-period da...
#1Mehdi Bagherzadeh (NEOMA: NEOMA Business School)H-Index: 9
#2Mohammad Ghaderi (UPF: Pompeu Fabra University)H-Index: 5
Last. Anne-Sophie Fernandez (UM: University of Montpellier)H-Index: 10
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Abstract null null Companies rely widely on coopetition, that is, cooperation with competitors, to foster their innovation. However, despite its increasing popularity, the impact of coopetition on innovation remains unclear. Different theories predict different results, and empirical evidence suggests that coopetition can either improve or reduce innovation performance, or even make no impact. The lack of consensus makes further exploration of this important relationship essential. Our study att...
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