Provide examples of fours situations where there is limited or finite waiting line
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Provide examples of fours situations where there is limited or finite waiting line ?
It's an operations subject question why you guys sending it to marketing ??
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- Give reason that why do waiting lines form even though a service system is underloaded .OVERBOOKED: FRONT OFFICE PERSPECTIVE Overbooking is an accepted hotel and airline practice. Many questionthe practice from various standpoints, including ethical and moral.Industry executives, however, argue that there is nothing moreperishable than a vacant room. If it is not used, there is no chance toregain lost revenue. Hotels need to protect themselves becausepotential guests frequently make reservations at more than one hotelor are delayed and, therefore, do not show up. The percentage of no-shows varies by hotel and location but is often around five percent. In a 400-room hotel, that is 20 rooms, or an average loss ofapproximately $2,600 per night. Considering these figures, it is notsurprising that hotels try to protect themselves by overbooking.Hotels look carefully at bookings: Whom they are for, what rates theyare paying, when they were made, whether they are for regular guestsor from a major account (a corporation that uses the hotel frequently),and so on. Jill Reynolds,…Problem 3-5 (Algo) Best Bicycles manufactures three different types of bikes: the Tiny Tike, the Adult Aero, and the Mountain Monger. Assume that Best Bicycles operates two shifts, each with 1,750 hours per year. Bike Tiny Tike Adult Aero Mountain Monger Demand Porecast Processing Time (minutes/unit) 29.3 23.8 15.3 (units/year) 45,630 44,800 24,800 Lot Size (# of bikes) 26 26 32 Setup Time (minutes/setup) 52 82 48 pictureClick here for the Excel Data File PLEASE NOTE: The Excel file shows the column C values for Processing time rounded to a whole minute. You'll get the answer wrong If you use this rounded value. In Excel, select cells C3 to CS and on the Home ribbon, in the Number section, click the Increase Decimal button. Calculate the required capacity for this year's production. Note that the times are given for assembly lines, so capacity calculations should be in terms of the number of lines necessary. (Round up your answer to the next whole number.) Number of assembly lines
- With a 10% availability buffer, a contact centre has been handling 900 consumers per day. Customers have shown dissatisfaction with the amount of time it takes for their call to be replied. How much additional space is needed if the call centre manager wishes to double the capacity cushion?What is the answer to this question: The stylish hair salon has three stylists who provide services to women. After checking in with the receptionist, which takes an oaverage of 1min/customer, hair is washed and styled for 25 min on average, then payment takes 3 min. b) what i the average throughput time?What does the term service breakdown mean?
- Party O 6 3 1 2 3 4 5 6 7 8 9 10 00 Number in Party O 10 3 2 2 2 4 3 2 3 2 4 Arrival Time 7:00 7:02 7:05 7:10 7:12 7:13 7:15 7:22 7:26 7.29 There is a single server that serves the entire customer party, no matter what the size, in the numbe of minutes shown in the table above. How many total customers in line and being served at 7:17am? None of the answers are correct. Service Time (minutes) 6 5 4 6 4 5 4 5 5 4What is the total idle time of the process assuming unlimited demand?Explain some of the advantages of using the queuing simulator in operations strategy ?
- Proctoring Enabled: Chapter 12 Computer Simulati. O Help Save & Exit Submit Saved Given this frequency distribution, what demand values would be associated with the following random numbers? (Do not round intermediate calculations.) Demand Frequency 29 1 23 2. 19 3. 29 Random Number Simulated Demand 0.3 0.5 0.9 Mc Graw Hill < Prev 2 of 5 ASUSSuggest THREE (3) methods that an operations manager can adapt to enhance their customers' waiting experience rather than simply reducing the waiting time.no handwritten solution Question The management of a busy petrol station is concerned that customers are being lost because of long waiting times sometimes required at their petrol pump. Over a two weeks period a careful study has been taken of the arrival of cars and the length of time taken to serve customers at the petrol station. The tables below show the arrival rates and the service time distribution: Inter arrival time (minutes) Inter arrival time Midpoint Percentage of customers Cumulative frequency Random number 0 - <2 1 60 60 00 - 59 2 - <4 3 25 85 60 - 84 4 - <6 5 10 95 85 - 94 6 - <8 7 5 100 95 - 99 Service time (minutes) Inter arrival time Midpoint Percentage of customers Cumulative frequency Random number 0 - <4 2 20 20 00 – 19 4 - <6 5 30 50 20 – 49 6 - <8 7 20 70 50 - 69 8 - <10 9 15 85 70 – 84…
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