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Procurement auctions with losses
We use a fixed point gradient flow algorithm to compute the equilibria of first-price procurement auctions in the presence of losses and Bayesian...
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Operations Research at Netherlands Railways
This paper briefly summarises the role of Operations Research techniques at Netherlands Railways (NS). We discuss the type of problems we are facing,...
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Operations Research at Ryanair
This short paper presents how Operations Research methods are employed at Ryanair in various decision problems, the project we have conducted and the...
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Operations Research at M.A.I.O.R. srl
This short paper presents how Operations Research methods are employed at M.A.I.O.R. srl in various decision problems, the project we have conducted...
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Operations Research at Norfolk Southern Railway Company
This short paper presents how Operations Research methods are employed at Norfolk Southern Railway Company in several optimization problems, example...
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Operations Research at DSB
This short paper presents how Operations Research methods are employed at DSB Denmark in various decision problems, the project we have conducted and...
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Surface Defects Detection of Cylindrical High-Precision Industrial Parts Based on Deep Learning Algorithms: A Review
High-precision cylindrical parts are critical components across various industries including aerospace, automotive, and manufacturing. Since these...
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One-Shot Learning for MIPs with SOS1 Constraints
Efficient algorithms and solvers are required to provide optimal or near-optimal solutions quickly and enable organizations to react promptly to...
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An Integer Optimization Approach for Determining Building Height
Building height is of crucial importance in architectural design. In this paper, we provide an integer optimization model to determine the number of...
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Note on a Vertex Stability Radius in the Shortest Path Problem
The article investigates stability analysis in the shortest path problem. We consider a directed graph in which all optimal paths from a source to a...
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Gaining insight into crew rostering instances through ML-based sequential assignment
Crew scheduling is typically performed in two stages. First, solving the crew pairing problem generates sequences of flights called pairings. Then,...
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A 3-level integrated lot sizing and cutting stock problem applied to a truck suspension factory
This paper studies the process of cutting steel bars in a truck suspension factory with the objective of reducing its inventory costs and material...
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The constrained equal losses family of rules for claims problems
In this study, we introduce a family of rules for claims problems called the CEL-family. The family is defined by means of a parameter
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Computing Optimal Mitigation Plans for Force-Majeure Scenarios in Dynamic Manufacturing Chains
We consider force-majeure supply disruptions in a dynamic, multi-product manufacturing supply chain with time-dependent parameters. We present a...
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Self-Adaptive Biased Differential Evolution for Scheduling Against Common Due Dates
Differential evolution (DE) is a robust population-based metaheuristic for optimization over continuous spaces. Its performance is affected by two...
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A simplified Wiener–Hopf factorization method for pricing double barrier options under Lévy processes
We developed a new method to price double barrier options under pure non-Gaussian Lévy processes admitting jumps of unbounded variation. In our...
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Proposing a Computational Modeling Framework for Generating Masonry Wall Units, Enhancing the Information Within a BIM
In recent decades, the construction industry has undergone a technological shift incorporating innovative technologies, such as robotics. However,...
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New Techniques to Perform Cross-Validation for Time Series Models
Model validation for time series models has always been a challenge due to a lot of complexities. The presence of auto-correlation in the data...
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A Solution Method for Nonlinear Monotone Equations via Hybrid Spectral Conjugate Gradient and Signal Recovery Problems
In this paper, we propose a method via hybrid spectral conjugate gradient to solve nonlinear monotone equations and signal recovery problems. This...
