Year to quantum (Y2Q) has potential to impact numerous industries, including manufacturing, by solving complex problems faster than classical computers and enhancing supply chain robustness in several ways.
AI algorithms can already assess many different supply chain weaknesses and identify some opportunities. Quantum algorithms can potentially optimize supply chains even more. Areas like logistics routing and advance min/max linear programming can help inventory management and production scheduling while minimizing disruptions and improving forecast execution efficiencies.
Quantum data processing would be able to compute enormous datasets with real-time monitoring and predictive analytics, improving visibility and responsiveness for supply chain category managers and decision makers far beyond today’s SaaS dashboards that really do little more than show historical trends and try to navigate the future.
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Articles on AI in manufacturing supply chains
Quantum systems also hold great promise in simulating complex supply chain ‘what if’ scenarios helping manufacturers test resilience against disruptions like components shortages, cybersecurity threats, natural disasters, market shifts, bottlenecks …
