In order to deal with increasingly complex manufacturing systems, we need to make sophisticated decisions. A new challenge emerges when dealing with presenting a new decision – making model merged by an off-line (production data including; staffs, machinery, materials) and on-line (sensors, actuators) data to render a shared responsibility of decision´s consequences between machine and human through giving weight to the taken decisions. Undoubtedly, to make an accurate fair prediction, this presented model should follow the ethical rules. However, the mostly past research works about relationship between machine and ethics mainly have focused on human and his responsibility in applying of technology and only humans have engaged in ethical issues. In light of the digital era especially applying AI and Machine learning, necessarily a new approach should be applied to the interplay between the machine, ethics, and human by adding an ethical dimension to those machines which involve with decision making.