This study source was downloaded by 100000865965430 from CourseHero.com on 05-05-2023 14:49:58 GMT -05:00https://www.coursehero.com/file/198112048/BUS-660-Benchmark-Data-Analysis-Case-Studydocx/ 1Benchmark- Data Analysis Case StudyKarima M. RichardColangelo College of Business, Grand Canyon UniversityBUS-660: Quantitative MethodsSummer ZwanzigerApril 5, 2023This study source was downloaded by 100000865965430 from CourseHero.com on 05-05-2023 14:49:58 GMT -05:00https://www.coursehero.com/file/198112048/BUS-660-Benchmark-Data-Analysis-Case-Studydocx/IntroductionOEI leases automatic mailing machines to business customers in Fort Wayne, Indiana, and provides timely maintenance and repair service. OEI aims to expand its business to 20 and then 30 customers in the next 1 and 2 years, respectively. OEI is interested in meeting the average 3-hour waiting time guarantee at the lowest possible total cost. To make a final decision on the number of technicians to be used when OEI reaches 20 and then 30 customers, a waiting line model is used to analyze OEI's service capabilities (Anderson et al., 2016).Customer Arrival Rate and Customer Service RateThe statistical analysis of historical service records indicates that a customer requests a service call at an average rate of one call per 50 hours of operation. Therefore, the arrival rate foreach customer is 1/50 = 0.02 calls per hour. Since OEI has 10 customers, the total arrival rate is 0.02 x 10 = 0.2 calls per hour.If the