and once for pick-up} should allow the pharmacy ample time to avoid such queues at pick-up. - - Sometimes, the customer arrives at the scheduled time, but the prescription is not yet lled due to delays in the prescription fulllment process. When making assumptions to analyze these issues, you may choose to equate \"oftentimes" with \"20%of prescriptions", "sometimes\" with "5%of prescriptions" and \"very small number of cases" with \"1%of prescriptions". You may also assume that the entire chain of pharmacies consists of 200 pharmacies that serve 4 million prescriptions a year and that the annual revenue of the pharmacy chain attributable to prescriptions is 200 million. You may also assume that every time a customer is dissatised when picking up a prescription, the probability that this customer will not come back after this experience is 20 %. You may also assume that on average a customer requires ve prescriptions per year. Taking the issue register as a basis, apply Pareto Analysis to determine a subset of issues that should be addressed to reduce the customer churn due to dissatisfaction by at least 70 %. Customer churn is the number of customers who stop consuming services offered by a company at a given point in time. In this context, this means the number of customers who stop coming to the pharmacy due to a bad customer experience