RASM is defined as Revenue per Available Seat Mile and is a common metric to understand flight performanceacross different routes. Based on the chart below, what would you expect to see in March on a YoY basis?20181614121086420Jan-18Feb-18Mar-18Apr-18May-18a) Weaker performance YoYb) Stronger performance YoYc) Identical performance YoYd) There are no indicators of performanceJun-18RASMJul-18Aug-18Sep-18Oct-18Nov-18Dec-18Jan-19Feb-19

RASM stands for Revenue per Average Seat Mile. It is commonly used to understand performance of…

Answered: RASM is defined as Revenue per…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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Problem 10-7 (Algo) The postmaster of a small western town receives a certain number of complaints each day about mail delivery. DAY 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Number of complaints 4 12 16 8 9 6 5 13 14 7 6 4 2 10 Click here for the Excel Data File a. Determine three-sigma control limits using the above data. (Round your intermediate calculations to 4 decimal places and final answers to 3 decimal places. Leave no cells blank - be certain to enter "0" wherever required. Round up any negative control limit value to zero.) b. Is the process in control? multiple choice Yes No
Q6 - A department store manager has monitored the number of complaints received per week about poor service. The probabilities for numbers of complaints in a week, established by this review, are shown in the table. Number of complaints 0 1 2 3 4 5Probability 0.17 0.30 0.33 0.07 0.05 0.08 What is the mean of complaints received per week? Please round your answer to the nearest hundredth.
Consider the following given below: Week Sales('000) 1. 39 44 40 4 45 38 43 39 What is the Mean Absolute Percent error (MAPE)?
When observations can be placed into oneof two categories. Examples include items(observations) that can be classified asa. Good or badb. Pass or failc. Operate or don’t operate
Calculate the Mean Absolute Percentage Error for the following data: Actual 99 85 91 92 Forecast 92.6 88 101.9 99.8 (Keep two decimal places in your answer)
In response to intensive foreign competition, the management of Florex Company has attempted over the past year to improve the quality of its products. A statistical process control system has been installed and other steps have been taken to decrease the amount of warranty and other field costs, which have been trending upward over the past several years. Costs relating to quality and quality control over the last two years are given below: Costs (in thousands) Last Year This Year Inspection $ 720 $ 909 Quality engineering $ 450 $ 765 Depreciation of test equipment $ 675 $ 270 Rework labor $ 1,080 $ 1,530 Statistical process control $ 0 $ 225 Cost of field servicing $ 1,350 $ 1,260 Supplies used in testing $ 45 $ 81 Systems development $ 720 $ 900 Warranty repairs $ 3,780 $ 1,620 Net cost of scrap $ 630 $ 1,170 Product testing $ 900 $ 1,800 Product recalls $ 3,150 $ 900 Disposal of defective products $ 810 $ 1,080 Sales have been flat over the…
Design a study to identify what might be the probable ultimate cause/s of the decline in sales. For looking at the different causes, consider the box and arrow diagram given. Note the following things about the box and arrow diagram: If the arrow’s head is towards a box, that means the variable in the box (where the arrow’s head is) affects the variable in the box from where the arrow originated. E.g “Revenue/Sales” is affected by the “Number of shoppers/customers”. The boxes in grey are the variables you as a firm/owner can directly expect to affect which can further affect other variables in the model. E.g. You can incorporate training programs to improve “customer service” perceptions and, ultimately “Sales”. There is a hierarchy of the variables such that we have started from the broadest ones in thetop and then went to the finer one. The motivation for the research group here is to design a study for the store. This study is to find out the customer’s current perception…
Each day, a FedEx competitor processes approximately 75,000 shipments. Suppose that they use the same Service Quality Index as FedEx and identified the following number of errors during a 5-day wee (see the "FedEx: Measuring Service Performance" box). These values are hypothetical and do not reflect any real company's actual performance. Description Complaints reopened Damaged packages International Weight Number of Errors 3 105 10 16 1 101 1 278 3 212 10 4 1 25 1 748 112 18 Invoice adjustments Late pickup stops Lost packages Missed proof of delivery Right date late Traces Wrong day late Compute the Service Quality Indicator by finding the weighted sum of errors as a percentage of total shipments. Do not round intermediate calculations. Round your answer to three decimal places. Service Quality Indicator (SQI): % 3 5
Question 2: A town's department of public works is concerned about adverse public reaction to a sewer project that is currently in progress. Because of this, the Commissioner of Public Works has authorized a weekly survey to be conducted of town residents. Each week, a sample of 50 residents is questioned on their feelings towards the project. The results to date are shown below. Analyze this data using an appropriate control chart with a 5% risk of Type I error. Is the community sentiment stable? Week Number 3 4 5 7 8 Opposed 10 8 14 6. 4 16 8 10
Isidel the below Causal diagram: D Which variables must necessarily be controlled for to identify the effect of X on Y? Do not select variables to control for unless they are necessary to identify effect. OB O It's not possible to identify the effect of X on Y OY
7. Select the item that does not match with one another: Group of answer choices Cause and effect diagram – synergy FFA Diagram – “tug of war” like analysis Pareto Analysis – out of control Histogram – data presentation
A manager tracked equipment failures and found 1 failure on 12 days, 2 failure on 11 days, 3 failures on 9 days, and 4 failures on 7 days. What is the 2-decimal mean? What is the 2-decimal standard deviation?

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