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Sunday, December 23, 2018

'Alabama Air Case\r'

'1. demesne any business problem that the enterprise necessitate to resolve: Darden Restaurants needs to fill in a supply-chain of highly perishable items such(prenominal) as seafood, over 35 countries, season managing costs and product quality. Furthermore, the company needs to ensure a strict protocol of inspection and quality assurance end-to-end the supply chain. 2. Briefly summarize relevant background information from the case. Darden restaurant owns general brands such Olive Garden and ruby-red Lobster, comprising of 1400 restaurants in the US. These atomic number 18 300 one million million million meals served annually with purchases from 35 ountries.\r\nThe average shelf life of the food item is 4 days and temperature of 34 degrees must be ensured at each step of the way. 3. eviscerate how the enterprise dealt with its issues and their relevance The airline executives fix decided to use Statistical act upon Control tools to measure the airlines on-time perform ance and to guage how it is doing in relation to the rest of the airline intentness. The data: WeekLate Flights component Late 120. 02 240. 04 3100. 1 440. 04 510. 01 610. 01 7130. 13 890. 09 9110. 11 1000 1130. 03 1240. 04 1320. 02 1420. 02 1580. 08 620. 02 1730. 03 1870. 07 1930. 03 2020. 02 2130. 03 2270. 07 2340. 04 2430. 03 2520. 02 2620. 02 2700 2810. 01 2930. 03 3040. 04 120 4. exploitation a 95% confidence level plan the overall percentage of late flights p, and the upper and lower control limits. p = sum of money Number of errors Total Number of render p=120=0. 04 (100)*(30) sigma=SQRT(((. 04)*(1-. 04))/100) sigma=0. 02 UCL=p + 2*. 02=0. 08 LCL=p †2*. 02=0 Using 95% Confidence level (z=2), we fleck a control chart for the component of late flights for ezch week. We also superimpose the industry upper and ower control limits of . 1 and . 04 repectively: The Fraction of flights late on Week 3, 7, 8 and 9 fall above the UCL of . 08 for aluminum Air. For each of t hese weeks management needs to reach detailed data on what the problems were with the flights that were late. The particular that 3 out of the 4 weeks where the surgical procedure was out of bounds were consecutive luff to non-random causes for the issue. Management can conclude that they are doing better than the industry averages since the industry industry control limits are higher than the aluminium Air ones.\r\n'

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