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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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, bottlnecks …

More than ten years ago I was asked for input by Stratfor and other geopolitical platforms interested in categorizing chief concerns of senior enterprise supply chain executives. These platforms wanted to build simulations and advanced analysis tools. Back then no real proof of concept was created because the idea was ahead of available technology.

Today, with technology advancing I predict quantum computing Y2Q supply chain risk modeling services for manufacturers will grow exponentially with many new and existing vendors and suppliers wanting to capture market share with Y2Q solutions with quantum computing quickly identifying and targeting vulnerabilities and opportunities creating proactive strategies with capabilities far exceeding what most executives are thinking about today.

Y2Q remains speculative to most but having learned more about its implications and plausibility it is likely just a few years from practical application. Boardroom discussions on navigating rising uncertainties in volatile global markets will drive enterprise supply chain management beyond adopting classical technologies like AI and IoT for resilience, paving the way for future quantum computing advancements.

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