The general manager at Gati, a well-known logistics services company in India, was worried about the number of complaints the company had received. The popular supply chain solutions and logistics service provider had introduced a premium express service scheme five months ago and, since then, had 231 complaints concerning the late delivery of goods. This new scheme charged a considerable markup and guaranteed shipment of goods within 72 hours. Being dedicated to ensuring quality, the general manager had to decide whether the process was under control and if the company was operating within tolerable error limits. Could he find a solution to streamline the delivery process and achieve a target defect of 0.0005 per cent? Using MS Excel, statistical techniques were used to unravel the multi-faceted dilemma and help in decision-making.
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