previous traditional processes . “ We need to be able to examine why things have happened in the past but , more importantly , we need to also predict things that haven ’ t happened ,” he explains .
Impacting the assembly line One of the key areas that manufacturing businesses need to examine are the processes that impact what happens on the production line , specifically the timing of quality control . “ We ’ ve worked with a number of manufacturers in the automotive and healthcare industries , for example , and one of the biggest challenges they face is that the quality check happens at the end of the manufacturing process . So , once a whole batch of a product is made , the tests will be run to determine whether it ’ s OK . This can lead to scrap rates as high as 75 %,” says Phukan .
As most test suite rules can only be written based on previous experience , when a new problem arises that hasn ’ t been accounted for , this can lead to serious issues like product recalls . Using predictive analytics platforms will therefore , according to Phukan , become the norm . Indeed , this is
47