Computer-based virtual environment for managing work product quality

A computer system, the computer system comprising:

• one or more computer processors;
• one or more computer readable storage devices;
• and
• program instructions stored on the one or more computer readable storage devices, the program instructions, when executed by the one or more computer processors, cause the one or more processors to:
• dynamically monitor a degree of influencing factors in a predetermined area;
• identify one or more machines used in a predetermined manufacturing process;
• generate a digital twin of a predetermined final product associated with the predetermined manufacturing process;
• utilize the digital twin to analyze an effect of the influencing factors on the identified one or more machines or the predetermined final product;
• identify an upper limit of the influencing factors based on the analysis of the digital twin;
• identify which portion of a product is defective based on the analysis and output of a digital twin of the product;
• program instructions to utilize a set of robotic or automation processes to address the influencing factors, and commanding one or more robotic systems to control the influencing factors, wherein utilizing the set of robotic or automations processes comprises:
• instruct the set of robotic or automations processes to create a barrier to prevent or reduce the amount of influencing factors around the predetermined final product;
• and
• dynamically adjust a monitoring system to reflect actions taken to address the influencing factors.

A computer program product, the computer program product comprising:

• one or more computer readable storage devices and program instructions stored on the one or more computer readable storage devices, the program instruction, when executed by one or more processors, cause the one or more processors to:
• dynamically monitor a degree of influencing factors in a predetermined area;
• identify one or more machines used in a predetermined manufacturing process;
• generate a digital twin of a predetermined final product associated with the predetermined manufacturing process;
• utilize the digital twin to analyze an effect of the influencing factors on the identified one or more machines or the predetermined final product;
• identify an upper limit of the influencing factors based on the analysis of the digital twin;
• identify which portion of a product is defective based on the analysis and output of a digital twin of the product;
• utilize a set of robotic or automation processes to address the influencing factors, and commanding one or more robotic systems to control the influencing factors, wherein utilizing the set of robotic or automations processes comprises:
• instruct the set of robotic or automations processes to create a barrier to prevent or reduce the amount of influencing factors around the predetermined final product;
• and
• dynamically adjust a monitoring system to reflect actions taken to address the influencing factors.