EFFECT OF INDUSTRY 4.0 ON REDUCING THE OCCUPATIONAL FATIGUE DOWNTIME USING CONSTRAINED DATA MINING CLUSTERING AIDED WITH RULE INDUCTION

The Occupational fatigue represents a major threat for the continuation of the work and appears two types of Lean's waste, such as defects and downtimes. The effect of Occupational fatigue that must be faced varies according to the work volume, the number of employees, the nature of the product, and other various factors. The Industry 4.0 works on waste's mitigation to achieve productivity competitiveness' for enterprises that establish countries renaissance and help to classify these enterprises according to behavioral factors to be ready to mitigate all negative effects. This paper identifies the major factors that profile the losses of a fatal occupational fatigue to face the defects and downtime. The CAPMAS registered occupational fatigue that causes losses and their characteristics in some industrial cities. The fatal occupational fatigue (FOF) was registered that had been in comparison to a similar pattern of (none) fatal fatigue (NFOF) in the identical year .The fatigue workers of body were a head, terminals, or internal organs. The main purpose of the paper is to draw attention to join the occupational fatigue to the list of waste, which dealt with Lean.