Page 355 - The Handbook for Quality Management a Complete Guide to Operational Excellence
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342    C o n t i n u o u s   I m p r o v e m e n t                                                                                                                      I m p r o v e / D e s i g n   S t a g e     343


                                impossible. For example, a company was experi encing a sporadic prob­
                                lem (note: the words “sporadic problem” should raise a flag in your mind
                                that inadvertent human error is likely!) with circuit board defects. It seems
                                that occasionally entire orders were lost because the circuit boards were
                                drilled wrong. A study revealed that that problem occurred because the
                                circuit boards could be mounted backward on an automatic drill unless
                                the manufacturing procedure was followed carefully. Most of the time
                                there was no problem, but as people became more experienced with the
                                drills they sometimes got careless. The problem was solved by adding an
                                extra hole in an unused area of the circuit board panel, and then adding a
                                pin to the drill fix ture. If the board was mounted wrong, the pin wouldn’t
                                go through the hole. Result: no more orders lost. It would never happen
                                again because it could never happen again.
                                   Another  method  of  reducing  human  errors  is  automation.  People
                                tend to commit more errors when working on dull, repetitive tasks, or
                                when  working  in  unpleasant  environments  (e.g.,  due  to  heat,  odors,
                                noise, fumes, and so on). Automation is very well suited to this type of
                                work. A highly complicated task for a normal machine becomes a sim­
                                ple repetitive task for a robot. Elimination of errors is one justification
                                for an investment in robots. On a more mundane level, sim pler types of
                                automation such as numerically controlled machining centers often pro­
                                duce a reduction in human errors.
                                   Another  approach  to  the  human  error  problem  is  ergonomics,  or
                                human factors engineering. Many errors can be prevented through the
                                application  of  engineering  principles  to  design  of  products,  processes,
                                and workplaces. By evaluating such things as seating, lighting, sound lev­
                                els,  temperature  change,  workstation  layout,  etc.,  the  environment  can
                                often be improved and errors reduced. Sometimes human factors engi­
                                neering can be combined with automation to reduce errors. This involves
                                automatic inspection and the use of alarms (lights, buzzers, etc.) that warn
                                the employee when he’s made an error. This approach is often consider­
                                ably less expensive than full automation.


                                Technique Errors
                                As an example of technique errors, consider the following real­life prob­
                                lem with gearbox housings. The housings were gray iron castings and the
                                problem was cracks. The supplier was made aware of the problem and
                                their metallur gist and engineering staff had worked long and hard on the
                                problem, but to no avail. Finally, in desperation, the customer sat down
                                with the supplier to put together a “last­gasp” plan. If the plan failed, the
                                customer would be forced to try an alternative source for the casting.
                                   As might be expected, the plan was grand. The team identified many
                                important  variables  in  the  product,  process,  and  raw  materials.  Each
                                variable  was  classified  as  either  a  “control  variable,”  which  would  be








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