Q3:For a job shop with single queue and single server the inter-arrival times of the jobs and their service time isprovided as follows:JobInter-Arrival TimeService Time1324432433246373842931014Construct the simulation table then calculate the following statistics:1. Average time in queue2. Average time in system3. Average queue length4. Server utilizationNN

Q3: For a job shop with single queue and single server the inter-arrival times of the jobs and their service time is provided as follows: Job Inter-Arrival Time Service Time 1 4 4 3 2 2 4 3 3 5 2 4 3 5 7 3 2 8 4 2 9 3 10 1 4 Construct the simulation table then calculate the following statistics: 1. Average time in queue 2. Average time in system 3. Average queue length 4. Server utilization

Q3: For a job shop with single queue and single server the inter-arrival times of the jobs and their service time is provided as follows: Job Inter-Arrival Time Service Time 1 4 4 3 2 2 4 3 3 5 2 4 3 5 7 3 2 8 4 2 9 3 10 1 4 Construct the simulation table then calculate the following statistics: 1. Average time in queue 2. Average time in system 3. Average queue length 4. Server utilization

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Suppose that a customer is purchasing a car. He conducts an experiment in which he puts 10 gallons of gas in the car and drives it until it runs out of gas. He conducts this experiment 15 times on each car and records the number of miles driven. Full data set Car 1 211 215 234 212 247 264 260 164 256 251 171 319 292 313 252 Car 2 236 216 207 230 250 246 223 264 254 299 261 253 254 255 263
A manufacturing company is analyzing its accident record. The accidents fall intotwo categories: Minor—dealt with by first aider: Average cost k50 Major—hospital required. Average cost k1,000The company has 1,000 employees, of which 180 are office staff and the restwork in the factory.The analysis shows that 10% of employees have an accident each year and 20%of accidents are major. It is assumed that an employee has more than oneaccident in a year.(i) Determine the expected total cost of accidents in a year. On further analysis it is discovered that a member of office staff has half theprobability of having an accident relative those in the factory.(ii)Show that the probability that a given a member of office staff has anaccident in a year is 0.0549. (iii) Determine the probability that a randomly chosen employee who has hadan accident is office staff
A manufacturing firm produces its products in batches using sophisticated machines and equipment. The general manager wanted to investigate the relationship between direct labor costs and the number of units produced per batch. The recorded the data from the last 30 batches is below Batch Size Labor Cost Batch Size Labor Cost (5) 25 34 19 31 39 21 21 19 40 36 34 29 26 36 423 415 447 430 340 317 362 452 464 438 420 400 469 25 39. 25*8585& 29 31 21 36 39 29 41 35. 21 29 25 395 88888883 429 440 420 400 425 420 401 451 422 410 395 409 Determine the fixed and variable labor costs (Round your answers to the nearest cent) fixed cost 5 variable labor cost
A quality control engineer studied the relationship between years of experience as a system control engineer and the capacity of the engineer to complete within a given time a complex control design including the debugging of all computer programs and control devices. A group of 25 engineers having widely differing amounts of experience (measured in months of experience) was given the same control design project. The results of the study are given in the following table with y 5 1 if the project was successfully completed in the allocated time and y 5 0 if the project was not successfully completed. a. Determine whether experience is associated with the probability of completing the task. b. Compute the probability of successfully completing the task for an engineer having
A researcher thinks some social media sites are more prone to narcissistic behavior (excessive posting) than others. To examine the relationship between narcissism and social media, she recruits users of three different social media sites (Facebook, Twitter and Instagram), follows them for 24 hours and records the number of posts made by each user. The number of posts is given in the table below. Twitter Facebook Instagram 10 7 14 10 8. 10 10 10 11 9. www. 12 wwww. 11 13 12 8. 7 8. 11 8 10 12 11 11 a. Perform a complete hypothesis test to determine whether there are any significant differences among the three groups. Test at the .05 level of significance. SHOW ALL YOUR WORK b. Do you need to perform post hocs? Explain but do not compute the post hocs. C. Compute effect size. d. Summarize your findings in a source table. e. Write an interpretation of our results in APA-format (include means and SDs in your interpretation)
Most supermarkets use scanners at the checkout counters. The data collected this way can be used to evaluate the effect of price and store's promotional activities on the sales of any product. The promotions at a store change weekly, and are mainly of two types: flyers distributed outside the store and through newspapers (which may or may not include that particular product), and in-store displays at the end of an aisle that call the customers' attention to the product. Weekly data was collected on a particular beverage brand, including sales (in number of units), price (in dollars), flyer (1 if product appeared that week, 0 if it didn't) and display (1 if a special display of the product was used that week, 0 if it wasn't).As a preliminary analysis, a simple linear regression model was done. The fitted regression equation was: sales = 2259 - 1418 price. The ANOVA F test p-value was .000, and r squared = 59.7%.According to this model, how many units will be sold, on average, when the…
3. Suppose you find yourself in this situation. One time you want to buy a light bulb.There are three brands of light bulbs that you know. Knowing that the longer the lightbulb lasts, the more you save. Your experience of buying the different brands of light isthe basis. The data are as follows: BRAND K: The light bulb lasted for 4.5 months, 3.5 months, 5.5 months, 2.5 months,6,5 months, 2 months, and 7 months.Brand A: The light bulb lasted for 4.5 months, 3.5 months, 5.5 months, 2.5 months, 6.5months, 2 months, 7months, 4.5 months and 4.5 months. BRAND J: The light bulb lasted for 4.5 months, 3.5 months, 5.5 months, 2.5 months, 6.5months, 2months, 7 months, 8 months and 1 month.If the light bulbs have the same price, which brand of light will you buy? Justify youranswer by using the statistical measures. Tabulate your solutions.
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2. Find the least linear fit to the following data: * * 2 3 2 -3 -3 -1 55
The following sales forecast was generated in Excel. What is line C? Sales Revenue $250,000 $200,000 $150,000 $100,000 $50,000 $0 1 wwwww 3 5 Multiple Choice 7 Sales Revenue пик -Forecast( Sales Revenue) Most likely predicted level of sales revenue 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 Highest predicted level of sales revenue Actual sales revenue Lowest predicted level of sales revenue A B C
The following table lists highway miles (in MPG) and weight (in pounds) for a variety of cars, foreign and domestic (same data as before). CAR HWY WEIGHT Chev. Cavalier 31 2795 Lincoln Cont. 24 3930 Mitsubishi Eclipse 33 3235 Olds. Aurora 26 3995 Pontiac Grand Am 30 3115 Chev. Corvette 28 3220 BMW 3-Series 27 3225 Ford Crown Victoria 24 3985 Hyundai Accent If we let x be the weight and y be the Highway MPG, and we used Excel to compute the equation of the Least- 37 2290 Square regression line (which comes out to be y = -0.00672'x + 51.1156) as well as the correlation coefficient (which comes out to be -0.89). Then you used that equation to predict that the Highway Miles for a car that weighs just 1000 pounds would be 44.4 mpg. I think this prediction is accurate because the person used Excel for the computation. O I think this prediction is not accurate since a car that weighs 1000 pounds is not part of the original data list. O Ithink this prediction is not accurate because the person…