schedulingbenchmarks.org

What It Is

Scheduling Benchmarks is a benchmark dataset website for employee scheduling optimization problems. The main text clearly notes that employee scheduling is common across industries such as aviation, airports, the military, call centers, emergency services, factories, healthcare, hospitality, retail, security, and transportation, and that it is a highly computationally complex NP-hard problem. The site’s core goal is not to provide a SaaS scheduling product, but to offer challenging instances that researchers and developers can use to test, develop, and compare scheduling algorithms.

Core Capabilities and Technical Format

The main datasets available on the site include Nurse rostering, Multi-activity multi-day, and other employee scheduling problems. The data comes from industrial partners and scientific publications, indicating that it targets real-world or near-real-world constraint scenarios rather than simple toy examples. Instances and solutions are modeled using Staff Roster Solutions’ XML based modelling format, which is described as flexible and capable of handling rules and requirements across different workplaces. The data files can also be read by Staff Roster Solutions’ RosterViewer, a graphical tool for viewing and validating new solutions.

Pricing, API, and Ecosystem

The main text does not mention pricing, registration, subscriptions, commercial licensing, or payment methods, so it can only be understood as a publicly presented benchmark resource; its license cannot be confirmed. There is also no visible API, SDK, package manager, or cloud service capability. In terms of ecosystem integration, the only clearly stated information is compatibility with RosterViewer, which is useful for manually inspecting schedules, but there is limited information about automated experiment pipelines, CI integration, or multi-language developer support.

Pros and Cons

Its strengths are a clear focus and direct usefulness for scheduling algorithm research. The datasets cover classic difficult problems such as nurse rostering and multi-activity multi-day scheduling, and their varied sources make them suitable for paper reproduction, algorithm tuning, and comparing solution quality. The XML modeling format is also helpful for structured processing. The downsides are that the site provides relatively little explanatory content and lacks a clear license, data versioning, field specifications, sample code, download instructions, and maintenance status. For developers, this means they may need to parse the format themselves or rely on RosterViewer, limiting engineering convenience.

Who It’s For and Access from China

It is suitable for operations research, constraint programming, heuristic algorithm work, employee scheduling system R&D teams, and academic researchers who need benchmark instances for scheduling. It is not ideal for business users looking to directly purchase a scheduling system. The main text provides no information about access from China, so this needs to be tested directly; there is also no payment information. If alternatives are needed, consider OR-Library, Google OR-Tools examples, the INRC nurse rostering competition datasets, or scheduling datasets on Kaggle.