Workshop Description
Half-day executive workshop on quantum algorithms for multi-echelon supply chain optimisation. Covers inventory allocation, production scheduling, network design, and procurement as QUBO problems with honest NISQ hardware assessments and quantum-inspired alternatives.
Supply chain optimisation spans multiple interdependent decisions: how much inventory to hold at each echelon, which facilities to open or close, how to schedule production across machines, and which suppliers to award contracts to. Each of these is a combinatorial problem where solution quality directly affects cost and service levels. Classical solvers (Gurobi, CPLEX) work well for moderate instances but struggle as variable counts grow into the tens of thousands. Quantum computing approaches these problems through QUBO formulations: encoding constraints as penalty terms and objectives as quadratic functions over binary variables. This workshop maps four supply chain problem classes to quantum algorithms (QAOA, quantum annealing, VQE), explains the QUBO formulation process, and benchmarks results against classical solvers. Current NISQ hardware handles roughly 150-200 fully connected variables, so the workshop also covers quantum-inspired classical solvers (Fujitsu Digital Annealer, Toshiba SQBM+) that handle 100,000+ variables today. Participants leave with a clear understanding of which supply chain bottlenecks are quantum-amenable, what is deployable now via quantum-inspired methods, and when fault-tolerant quantum hardware will change the calculus.
What participants cover
- Multi-echelon inventory optimisation: QUBO formulation for safety stock allocation across warehouse tiers with service level constraints
- Production scheduling: quantum annealing for job-shop and flow-shop problems with setup times and machine availability windows
- Network design: QAOA for facility location and capacity planning under demand uncertainty and capital constraints
- Procurement optimisation: combinatorial auction clearing and multi-criteria supplier selection as quadratic assignment problems
- Quantum-inspired alternatives: Fujitsu Digital Annealer and Toshiba SQBM+ solving supply chain instances at production scale on classical hardware
- Strategic readiness: identifying quantum-amenable bottlenecks, hybrid solver strategies, and vendor evaluation criteria