A decision support system and method for an industrial plant is configured and operates to: obtain a causal graph modeling causal assumptions relating to conditional dependence between variables in the industrial plant; obtain observational data relating to operation of the industrial plant; and perform causal inference using the causal graph and the observational data to estimate at least one causal effect relevant for making decisions when operating the industrial plant.

A work management device manages a board work line having multiple board work machines for performing work on a board. The work management device includes a problem detection section configured to detect that a problem has occurred in any of the multiple board work machines; a handling method database configured to accumulate handling methods for problems; an updating section configured to update handling methods for problems at any time; and a work instruction section configured to extract and indicate to an operator a handling method for a problem from the handling method database when the problem detection section detects that the problem has occurred.

A work management device manages a board work line having multiple board work machines for performing work on a board. The work management device includes a problem detection section configured to detect that a problem has occurred in any of the multiple board work machines; a handling method database configured to accumulate handling methods for problems; an updating section configured to update handling methods for problems at any time; and a work instruction section configured to extract and indicate to an operator a handling method for a problem from the handling method database when the problem detection section detects that the problem has occurred.

The present disclosure relates to a method and pre-trained rule engine for providing an assistance to correct abnormal event encountered for equipment. Real-time information related to the equipment is received, upon identification of the abnormal event. At least one data is selected from historic data, expert opinion data and equipment standard data associated with the equipment based on real-time state information related to the equipment. The received real-time information is analyzed using the selected at least one data. An assistance is generated for correcting the abnormal event based on the analysis. The assistance is provided to an operator for correcting the abnormal event.