Adjust Jidoka Occupational Fatigue Factors to Reduce Idle Times and Defects Using Data Mining (case study)

The Jidoka Occupational fatigue represents a major threat for the continuation of
the work because generating idle times then defects that disable the productivity
for more than 1 day (eg., casual vacation). The main objective of Jidoka is solving
of mistakes that occur in a process. When there is an abnormal situation arises the
machine, stops and the Labour will stop the production line. Automation (Jidoka)
prevents the production of defective products; adjust over-process if necessary and
focuses attention on understanding the problem and ensuring that it never recurs.
This paper identifies the major factors increasing the risk of a fatal occupational
fatigue and idle times in order to provide further evidence for the design and
implementation of preventive measures in Jidoka settings. The CAPMAS
registered occupational fatigue that causes absence and their characteristics in
some industry cities. The fatal occupational fatigue was registered until mid of
2015 (n = 269) were compared to a sample of non-fatal fatigue in same year (n =
1153). Risks of idle-times adjusted by occupational factors significantly associated
by logistic regression models. Compared to non-fatal, fatal occupational fatigue
mostly produced by natural causes such movable devices|| labourers in narrow
area. The fatigue parts of body were a head, terminals, or internal organs. The
data-mining analysis showed increased risk of fatality after an idle times for males
(adjusted odds ratio = 10.92; 95% Confidence), temporary labourers (5.18; 95%),
and the risk increased with age and with advancing hour of the work shift (p for
trends <0.01). The main purpose of the paper is to draw attention to join the
occupational fatigue to the list of waste, which dealt with Lean. These data help to
define priorities for programs that prevent occupational fatigue, idle times and
defects.