Many businesses utilize waiting lines to manage customer service. For example, banks, amusement parks, supermarket checkouts, fast food restaurants, call centers, check-in counters at airports, emergency departments of hospitals, and so many more. In the course of your week, consider an experience you had that led to a temporary demand for service that exceeded capacity, for example, variation in service duration or arrival rates, which led to a waiting line. Address the following requirements: Explain common measures of system performance and which of the common measures may be most effective for the business where you experienced a waiting line. Describe why that measure would be effective and develop a strategy to minimize the waiting line while minimizing cost. Develop a calculation to aid the business in making their operational choices. Embed course material concepts, principles, and theories, which require supporting citations along with at least two scholarly, peer-reviewed references in supporting your answer. Keep in mind that these scholarly references can be found in the Saudi Digital Library by conducting an advanced search specific to scholarly references.You are required to reply to at least two peer discussion questions and post answers to this weekly discussion question and/or your instructors response to your posting. These post replies need to be substantial and constructive in nature. They should add to the content of the post and evaluate/analyze that post answer. Normal course dialogue doesnt fulfill these two peer replies but is expected throughout the course. Answering all course questions is also required. Required: Chapter 18 in Operations Management Chapter 18 PowerPoint slides Module 10 Chapter 18 PowerPoint slides – Alternative Formats Operations Management Insardi, A., & Oliveira Lorenzo, R. (2019). Measuring accessibility: A big data perspective on Uber service waiting times. RAE: Revista de Administração de Empresas, 59(6), 402414. Matta, R. (2019). Minimizing the total waiting time of intermediate products in a manufacturing process. International Transactions in Operational Research, 26(3), 1096.