BU275 Assignment 2 Equations Question 1 A Station 1: Prep Inter-arrival time is the time between consecutive arrivals of the customers. Because the inter-arrival times are exponentially distributed, customers arrive at random times. The mean is 100 customers/ hours. This indicates that a customer arrives every 0.6 minutes. Time of arrival for this station is the time that the customer arrives at the store. The time of arrival of the first customer is given as the first customer’s inter-arrival time. With each subsequent customer, the time of arrival is equal to the previous customer’s arrival time + the inter-arrival time for the current customer. Service begin time at this station is when the service for the customer begins. This …show more content…
The service time for this store is normally distributed. This number was found by taking the maximum between 0 and the normally distributed service times. A zero-service time is used to for premade sandwiches, where the customer does not have to wait because the sandwich is ready for them when they arrive. End service time is the sum of service begin time and service time. Time in line is the time the customer spends waiting in line to be served, which is calculated by finding the difference between the time they arrived and when their service began. Station 2: Toast Time of arrival at this station is the time that the service ends at station 1, as this is the time the customer is finished at station 1 and the customer arrives at station …show more content…
The formula is the utilization rate found is 93%, which represents the percentage of time that the toaster is in use. This was calculated by taking the inter arrival time average . Then, the average of the service time of the toaster was calculated, and lambda was calculated by the following equation,. Finally the value was the used to find utilization factor . The siumlation was ran 1000 times and in the long run the utilization rate will be very close to 70% (69.44%) as 70% of the customers prefer to toast. Question 2 A To make sure the 7th customer is not served right away, the maximum or the arrival time of the 7th customer, end of service time of the 6th customer at station 1 and the end of service time of the first customer at station 3. The max of the first customer was used to ensure the queueing discipline is first come first serve, and the first customer who enters will be served before any proceeding customers. Also, to ensure there are always 6 customers in the store. The max between. The max between the arrival time and end of service time at station 1 is used to ensure the 7th customer is served after the 6th is
o Would it be useful to identify the core issue of the risk being addressed? In the month of July, 4 teams noted inability to safely evacuate from the home. Although this is risk, it is unclear why. If teams were to implement the 5 why’s, could they drill down to the core issue. For example, if the inability to evacuate was due to mobility, could we identify DME to mitigate that risk.
If you are looking for a simple solution to tackle ntdll error 1000, there can be no better alternative as compared to the ntdll.dll fixer. Obviously; the best choice is the one which you shall be able to download & install from a high PR website – developed & designed by strictly adhering to a logical roadmap. More often than not, such a type of the issue essentially flares-up when the file is misplaced from the path as - c: winntsystem32 directory, C: Windowssystem32 or the c: i386 directory.
For the customer metric, they measure the annual number of new customers, annual proportion of on-time flights to total flights, and customer satisfaction survey. The annual number of new customers is being measured because an increase in the number of customers can give the company an idea about their future and potential growth in the market. This also gives an idea about the customer satisfaction. The annual proportion of on-time flights to total flights is the basic indicator for airlines. Even if the company has a low-fare image, if their flights are late, customers still doesn’t prefer it.
In the video “Pink Bat Simple Truths”, McMillan (2016) argues that creating solutions for problems is all about perception. Instead of seeing problems as insurmountable, they could be seen as opportunities. In the case of Franklin Barbecue, the long line, and the wait times that come with are the problem. However, instead of seeing the line and long wait times as a problem, it is important to point out that it is also an opportunity, because the long lines equate to a lot of customers. Other restaurants barely have any customers, so the long line signifies an opportunity to expand the dining area to accommodate them.
Chick-Fil-A Case Study Despite being a fast-food restaurant, Chick-Fil-A is widely known for its exceptional customer service. Part of the reason they have incredible customer service is because they have made it their mission to “get better before getting bigger.” Even though Chick-Fil-A has thousands of less stores than its competitors, it has made business all about the customer and it is paying off in large profits and continual growth. Chick-Fil-A’s customer service plan is two-fold: to go the “second mile” and to give the customers something to do.
Final stage occurred after the matches were completed and player’s service efficiency were measured again. The authors of this research find out that fatigue affected service performance and this reflected in decreased first service percentage, while also a slightly bigger number of double faults was noticed in the third stage of the test. Authors concluded that even though service performance decreased while comparing the first to the third stage results, there was no significant difference between factors such as service accuracy and speed. The researchers also suggested
Then, we apply those numbers with the next formula, which is: T = 1.2542 minutes + 5 minutes + 2 minutes = 8.2542 minutes. Then we would look at the tanker delivery rate (TDR) formula: TDR = C (1248.9 IGPM) divided by T (8.2542 minutes) = 151.30 IGPM. If we divided 625 IGPM Delivery Rate by 151.30 IGPM Tanker Delivery Rate (TDR) =
The sector is witnessing a radical change as traditional retail markets are replacing with new formats such as discounts stores, departmental stores, hypermarkets, supermarkets etc. In this competitive environment the retailers are more forced to concentrate towards Customer service & their satisfaction. In retail stores, the customer service is includes like counter service, billing the products, offer explanation to customers, providing them coupons, explain the product
The cart connects the nurse on the hospital floor to the supply/store of the hospital for common patient care supplies and special medical care supplies. The objective of a 5S exercise applied to the hospital cart would produce an end result of on time delivery of such supplies to the nursing stations. Nurses are notorious hoarders. They want to make sure they have needed supplies for their patients and inconsistent supply from the cart, whether it be the frequency of visits or the lack of supply on the cart, cause a behavior to create a ‘stash’ of supply. This hidden inventory is excess inventory.
Queuing models are an abstraction of Markov chain models. On assessing their empirical validity to assign patrols to City police stations, it has been concluded that queuing theory provides good approximations of the system behaviour. We configure a fleet whose vehicles get calls while on the route. The objective is to minimize operating costs subject to several constraints, including a maximum waiting time for customers, modelled using queuing formulas.
The service level objective is to respond at least 80% of incoming calls within 20 seconds. The cost structure of the call center are fixed cost which is consist of agent payments which are not affected by operational performance and operational cost which are directly affected by the operational performance. The components of an operational cost are inbound telecommunication cost incurred from total duration of IVR experience, information systems cost per IVR experience, and Cost of erosion of the bank’s customer