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Explore and monetize academic content. ResearchBack connects scholars and students through datasets, simulations, code, and learning materials.
Monetize the digital materials behind your industrial engineering papers.
Upload the models, simulations, and analysis files behind your work so other teams can reuse them, while you keep ownership and earn on every download.
- Share optimization models, simulation projects, spreadsheets, and decision-support tools from real industrial engineering studies.
- Set your own price; ResearchBack handles secure delivery, payments, and controlled access to your materials.
- Help students, researchers, and practitioners reproduce, adapt, and scale your results in new factories, services, and supply chains.
Note: you can link these materials from your papers, project reports, or course pages to make them easy to find.
What fits well here?
- Optimization models: linear, integer, nonlinear, multi-objective models (AMPL, GAMS, Pyomo, MATLAB, spreadsheets) with data files and scripts.
- Simulation projects: discrete-event and agent-based models (Arena, Simio, AnyLogic, FlexSim, Simul8, custom Python/Java) with input data and experiment setups.
- Production and scheduling tools: planning spreadsheets, scheduling heuristics, metaheuristics code, and performance analysis scripts.
- Supply chain and logistics artifacts: network design models, vehicle routing instances, inventory models, demand datasets, and policy evaluation code.
- Quality, reliability, and ergonomics: measurement datasets, control charts, reliability analysis files, survey instruments, and analysis notebooks.
Typical pack: a complete, self-contained folder that lets another team reproduce, benchmark, and adapt your industrial engineering study or solution.
Operations research models
Simulation of systems
Production and scheduling
Supply chain and logistics
Quality and human factors