3 Positive and 3 negative outcomes for forecasting 3 Positive and 3 negative outcomes for queuing model
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3 Positive and 3 negative outcomes for
3 Positive and 3 negative outcomes for queuing model
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- At the beginning of each week, a machine is in one of four conditions: 1 = excellent; 2 = good; 3 = average; 4 = bad. The weekly revenue earned by a machine in state 1, 2, 3, or 4 is 100, 90, 50, or 10, respectively. After observing the condition of the machine at the beginning of the week, the company has the option, for a cost of 200, of instantaneously replacing the machine with an excellent machine. The quality of the machine deteriorates over time, as shown in the file P10 41.xlsx. Four maintenance policies are under consideration: Policy 1: Never replace a machine. Policy 2: Immediately replace a bad machine. Policy 3: Immediately replace a bad or average machine. Policy 4: Immediately replace a bad, average, or good machine. Simulate each of these policies for 50 weeks (using at least 250 iterations each) to determine the policy that maximizes expected weekly profit. Assume that the machine at the beginning of week 1 is excellent.Forecasting and Queuing model List three positive and three negative outcomes for each of these application of management scienceScenario 3: Falsifying Attendance Jason, a Junior System Administrator with the Management Information Systems Department, clocked in 4 minutes and 27 seconds late for work this morning. While he won’t get fired for it, being late this once means that he will not receive the perfect attendance incentive which he needs to make ends meet, given his daughter’s recent series of hospitalizations. It’s not that Jason didn’t make an effort to be there on time. He actually arrived in the office five minutes early but was unable to clock in immediately because his direct superior, Raffy, asked him for an informal project progress report as soon as he walked in the door. As a Junior System Administrator, Jason has access and the capability to edit the company’s attendance records. He figures that since he was unable to punch in only because of his boss, it wouldn’t hurt to edit the timestamp on his attendance for today. What is the Business Ethics Principles that suit to this case study?…
- YEAR 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 ARRIVAL ('000) 35.5 28 30.3 36 49.5 56 72.4 71 79.3 96 DELAYED RATE 4.2 3.8 3.8 3.5 4.6 4.5 4.6 4.6 4.7 4.5 A marketing analyst for Rockstar Travel Company. He wants to analyze the trend of international tourist arrival in KL by using international tourist arrival rate and flight delayed rate over the past 10 years. Propose ONE (1) forecasting model that can be used by Alvin. Why would you proposed that particular model? Develop the forecasting model that you suggest in (i). Briefly explain your model.Zilibwino Bank had received a number of complaints on the length of time(queuing time) customers took to make deposit and withdraw money. The manager responded by increasing the bank teller staff by 10 percent. Complaints on queuing time quickly decreased, but then complaints on the cost of staffsuddenly increased. Oddly enough, when staff costs were analyzed, the manager found that the average cost of staff had actually decreased relative to what it was before the increase in staff. What are some possible explanations for the complaints, and what actions might the manager contemplate?12 ed 1.00 An overhead crane of ABC Ltd. moves jobs from one machine to another and must be used every time a machine requires loading or unloading. The demand for service is random. Data taken by recording the elapsed time between service calls followed an exponential distribution having a mean of a call every 24 minutes. In a similar manner, the actual service time of loading or unloading took an average of 8 minutes. What is the average number of units in the system in the steady state? a) 0.6 Select one: O 1. c 02. a O 3. b O 4. d b) 0.9 c) 0.5 d) 0.7
- The owner of an automobile repair shop studied the waiting times for customers who arrive at the shop for an oil change. The following data with waiting times in minutes were collected over a one-month period. 2 5 22 6 5 0-4 5-9 10-14 (a) Develop a frequency distribution using classes of 0-4, 5-9, 10-14, 15-19, and 20-24. Class 15-19 20-24 Total 5 6 7 15 21 0-4 5-9 10-14 15-19 20-24 Class Total 0-4 5-9 10-14 Class 15-19 0-4 20-24 5-9 (b) Develop a relative frequency distribution using the classes in part (a). If required, round your answers to two decimal places. Relative Frequency 11 4 9 6 Class 16 10-14 15-19 12 21 8 20-24 9 10 Frequency 2 % 10 3 2 3 20 .1 .50 (c) Develop a cumulative frequency distribution using the classes in part (a) .15 .1 .15 1 M ✔ ✔ ✔ S (d) Develop a cumulative relative frequency distribution using the classes in part (a). If required, round your answers to two decimal places. 10 ✔ ✓ ✔ ✔ ✔ Cumulative Frequency Cumulative Relative Frequency X X (e) What…The common measures of a queuing system's performance include: O probability that the service facility will be idle, average queue length, and probability that the waiting time will exceed a specified duration. average time each customer spends in the system, probability that the service system will be idle, and average time each customer spends in the queue. average queue length, maximum time a customer may spend in the queue, and the utilization factor for the system. average time each customer spends in the system, maximum queue length, and probability of a specific number of customers in the system. maximum queue length, maximum time a customer may spend in the queue, and average queue length.With which decisions related to FMS design or control can the following methodsassist? Also, briefly describe how each method would be used.a. Queuing theory
- Problem 15-31 (Algorithmic) Mid-West Publishing Company publishes college textbooks. The company operates an 800 telephone number whereby potential adopters can ask questions about forthcoming texts, request examination copies of texts, and place orders. Currently, two extension lines are used, with two representatives handling the telephone inquiries. Calls occurring when both extension lines are being used receive a busy signal; no waiting is allowed. Each representative can accommodate an average of 10 calls per hour. The arrival rate is 16 calls per hour.Need help with question B. The fomula is Lmax = In K/ In PHDFC Bank has a single automated teller machine (ATM) located in a shopping center. Data were collected during a period of peak usage on Saturday afternoon and it was found that the average time between customers arrivals is 3.6minutes with a standard deviation of 0.7minute.lt also was found it takes an average of 2.8minutes (with a standard deviation of 1.9minutes) for a customer to complete a transaction. (a) Calculate expected customer arrival rate & service rate per server? (b) Calculate the expected server utilization? (c) Approximately how long will customers need to wait in line during the peak usage period?