45 datasets

Teesside University Research Data Repository2026 · dataset

This dataset provides the data, code, numerical results, raw simulation outputs, and verification materials supporting the manuscript “Mission-reliability-constrained maintenance under correlated demand: Decision consequences of model simplification” by Chesoong Kim, Youngjin Oh, and Janos Sztrik. It supports reproduction of the CTMC, uniformization, DES, decision-map, transfer-margin, robustness,

figshare + Loughborough Research Repository2026 · Astronomical catalogue

Introduction<p>Operating room (OR) scheduling remains a critical healthcare operations challenge, yet existing approaches suffer from three fundamental limitations: they either oversimplify the multi-resource synchronization requirements, lack provable performance guarantees for clinical decision-making, or fail to adequately integrate emergency responsiveness with elective efficiency.</p>Methods<

Teesside University Research Data Repository2026 · dataset

This dataset provides the reproducibility data, source code, numerical outputs, simulation records, and verification materials supporting the article “Stochastic Hysteretic Capacity Control under Correlated Demand and Evolving Priority: A Queueing Framework Motivated by Emergency Care.” The archive contains the model inputs, CTMC construction and stationary-solution code, threshold-policy evaluati

Teesside University Research Data Repository2026 · dataset

This dataset provides the reproducibility data, manuscript source, publication figures, and verification code supporting the manuscript “Multi-Timescale Edge–Cloud Control under Correlated Batch Demand and Endogenous Degradation: Structural Analysis and Approximate Optimization.” The archive contains the V1.19 LaTeX source, bibliography, reference PDF, 12 frozen CSV ledgers, 11 vector figure files

figshare2026 · Astronomical catalogue

<p dir="ltr">The objective is to maximize the number of high-priority nodes visited while simultaneously maximizing the total reward collected from those visits. The optimization process seeks to determine routes that provide the best trade-off between coverage of priority nodes and the cumulative reward obtained.</p>

figshare2026 · Astronomical catalogue

<p dir="ltr">The results obtained from the computational experiments of the proposed branch and bound algorithm are presented.</p><p dir="ltr">There are two sets of results: B&B algorithm (solved without a time limit until the entire tree was explored) and B&B algorithm with a 10 minute time limit.</p><p dir="ltr">The data used is found here. https://doi.org/10.25439/rmt.26325706</p>

Teesside University Research Data Repository2026 · dataset

Teesside University Research Data Repository2026 · dataset

The set includes all instances used in the multi-visit parallel drone scheduling electric vehicle routing considering soft time windows and drone heterogeneity: 1. Small instances 2. Large instances 3. Instances for sensitivity analysis

Teesside University Research Data Repository2026 · dataset

数据包含行政区，POI，AOI，数据来源https://lbs.amap.com/api/webservice/guide/api/search

Teesside University Research Data Repository2026 · dataset

This replication package contains the complete Python code, configuration files, automated verification tests, documentation, synthetic result tables, figures, and run reports associated with the Neurologistics exploratory computational experiment. The simulation compares alternative decision architectures under controlled synthetic conditions in three AI-enabled logistics scenarios involving tens

Teesside University Research Data Repository2026 · dataset

This dataset contains data collected and processed for the research article titled "Service Level Optimization via an Integrated Logistics Management Model at an Auto Parts Importing Company." The data include: inventory records, the technical gap, economic impact, identification of root causes and reasons, cash flows for three scenarios (optimistic, pessimistic, and moderate), components of the i

Teesside University Research Data Repository2026 · dataset

Hugging Face Datasets2026 · Text

FrontierOR Benchmark &nbsp; &nbsp; A benchmark of 180 literature-grounded OR tasks, each packaged as a self-contained reproducible unit: natural-language problem description, mathematical formulation, reference Gurobi implementation, test instances, reference solutions, and an automated feasibility checker. Designed for evaluating LLMs on the end-to-end task of turning a research paper's OR proble

Teesside University Research Data Repository2025 · dataset

This dataset contains the data, figures, and code accompanying our validated inventory optimization framework for e-commerce. The framework optimizes the cycle service level (CSL) under a standard (Q,R) policy, balances holding, ordering, and shortage costs, and reports a U-shaped total cost curve with a minimum around 95% CSL (fill rate ≈ 99.8%). We provide both “policy-stable” sensitivity (CSL f

Teesside University Research Data Repository2025 · dataset

This data article is related to the research article entitled “Processing Location for Cross-Border Perishables with Arrival-Rate–Conserving Conversion: Thresholds, Strategy Frontiers, and a China–US Case”. It consists of solver-ready Python code, calibrated inputs (in a CSV file), and the outputs generated to construct the decision-rule cards, uncertainty bands, and figures in the manuscript. Fol

IISH Dataverse2025 · dataset · unknown

This is an example solution of our model for the pickup-and-delivery problem that utilizes quite a few online transfers.

IISH Dataverse2025 · dataset · unknown

This is a repository containing the code used for the article A Fast Exact Pricing Algorithm for the Railway Crew Scheduling Problem'. In this article, a new exact pricing algorithm is proposed, and this algorithm is compared to the fastest known exact algorithm from literature. Abstract The railway crew scheduling problem consists of selecting a least cost set of duties that cover all tasks. Larg

IISH Dataverse2025 · dataset · unknown

Dataset containing warehouse performance characteristics from 2017 and 2012 for 131 warehouses from the Netherlands and Belgium. This dataset was compiled in 2017 by Christian Kaps with the support of René de Koster from Erasmus University Rotterdam as well as the warehouse associations evofendex and TLN in an effort to gather real-life data for a research project on automation’s effect on warehou

Teesside University Research Data Repository2024 · dataset

This dataset originates from a real-world footwear manufacturing warehouse and provides a comprehensive foundation for benchmarking research in warehouse order-picking operations. Data was collected via SQL queries on the company’s Warehouse Management System (WMS), resulting in diverse formats such as CSV files, CAD layouts, and Python scripts. The dataset includes geometric representations of th

Repositorio Institucional de la Universidad de Burgos2024 · Archive

In 2020, the COVID-19 pandemic and its rapid spread shook health authorities worldwide at the regional and national levels. Healthcare systems had difficulty acquiring important supplies, such as face shields, which at that time were essential for healthcare staff. The need for this material increased with the spread of the pandemic. In most areas, warehouses did not have a sufficient stock of thi

Repositorio Institucional de la Universidad de Burgos2024 · Archive

The optimization of a production process is often based on the efficient utilization of the production facility and equipment. In particular, reducing the time to change from producing one product to another is critical to the fulfillment of demand at a minimum cost. We study the production of steel coils in the context of searching for groups of products with similar characteristics in order to c

Repositorio Institucional de la Universidad de Burgos2024 · Archive

In this study, a model for the selection of investment portfolios is proposed with three objectives. In addition to the traditional objectives of maximizing profitability and minimizing risk, maximization of social responsibility is also considered. Moreover, with the purpose of controlling transaction costs, a limit is placed on the number of assets for selection. To the best of our knowledge, th

Repositorio Institucional de la Universidad de Burgos2024 · Archive

The variable selection problem in the context of Linear Regression for large databases is analysed. The problem consists in selecting a small subset of independent variables that can perform the prediction task optimally. This problem has a wide range of applications. One important type of application is the design of composite indicators in various areas (sociology and economics, for example). Ot

Repositorio Institucional de la Universidad de Burgos2024 · Archive

Given an undirected graph, a clique is a subset of vertices in which the induced subgraph is complete; that is, all pairs of vertices of this subset are adjacent. Clique problems in graphs are very important due to their numerous applications. One of these problems is the clique partitioning problem (CPP), which consists of dividing the set of vertices of a graph into the smallest number of clique

Repositorio Institucional de la Universidad de Burgos2024 · Archive

In the design of classification models, irrelevant or noisy features are often generated. In some cases, there may even be negative interactions among features. These weaknesses can degrade the performance of the models. Feature selection is a task that searches for a small subset of relevant features from the original set that generate the most efficient models possible. In addition to improving