Risk adaptive asset management

A computer program product for determining an action with respect to a given portfolio of items for supply chain management, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:

• acquiring, by a hardware processor, a feature vector for supply chain delivery trends, the given portfolio, and a current investment amount;
• determining, by the hardware processor, whether a current supply chain delivery situation is normal or abnormal based on the feature vector;
• performing, by the hardware processor, a risk-avoidance action to reduce the current investment amount and avoid potential supply chain delivery losses, responsive to a determination that the current supply chain delivery situation is abnormal;
• and
• performing, by the hardware processor, a risk adaptive action to increase the current investment amount and incur potential supply chain delivery gains by using a distributional reinforcement learning process, responsive to a determination that the current supply chain delivery situation is normal, including dispatching and controlling additional autonomous vehicles to handle an increase in supply chain deliveries.

A computer-implemented method for determining an action with respect to a given portfolio of items for supply chain management, comprising:

• acquiring, by a hardware processor, a feature vector for supply chain delivery trends, the given portfolio, a ratio of missed deliveries versus scheduled deliveries and a current investment amount;
• determining, by the hardware processor, whether a current supply chain delivery situation is normal or abnormal based on the feature vector;
• performing a risk-avoidance action to reduce the current investment amount and avoid potential supply chain delivery losses, responsive to a determination that the current supply chain delivery situation is abnormal;
• and
• performing a risk adaptive action to increase the current investment amount and incur potential supply chain delivery gains by using a distributional reinforcement learning process, responsive to a determination that the current supply chain delivery situation is normal, including dispatching and controlling additional autonomous vehicles to handle an increase in supply chain deliveries.

A computer program product for determining an action with respect to a given portfolio of items for supply chain management, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:

• acquiring, by a hardware processor, a feature vector for supply chain delivery trends, the given portfolio, a ratio of missed deliveries versus scheduled deliveries and a current investment amount;
• determining, by the hardware processor, whether a current supply chain delivery situation is normal or abnormal based on the feature vector;
• performing a risk-avoidance action to reduce the current investment amount and avoid potential supply chain delivery losses, responsive to a determination that the current supply chain delivery situation is abnormal;
• and
• performing a risk adaptive action to increase the current investment amount and incur potential supply chain delivery gains by using a distributional reinforcement learning process, responsive to a determination that the current supply chain delivery situation is normal, including dispatching and controlling additional autonomous vehicles to handle an increase in supply chain deliveries.