JET Copies Problem The simulation of Jet Copies can be done by generating random numbers from given probability distributions. The different steps of this simulation and assumption made are explained below. 1. Simulation for the repair time. It is given that the repair time follows Repair Time (days) Probability 1. .20 2. .45 3. .25 4. .10 ----- 1.00 To generate a random number from the above distribution, we use the following procedure. Generate a random number denoted by r2 from between 0 and 1. If this generated random number is less than or equal to 0.2 take repair time = 1. …show more content…
Since the break down time is given in weeks, we stop the simulation when total number of weeks greater than 52 5. Summary Generate random number from the break down calculate breakdown time. Generate random number from the repair distribution and calculate repair time require to get the machine repaired. Generate random numbers between 2000 to 8000 and estimate lost revenue due to this particular break down. Calculate the lost revenue by multiplying this number with repair time and revenue from 1 copy ($0.1). Repeat this process until sum of all the break down time exceeds 52 weeks and calculate the total loos. The excel output under two different assumptions are given below. |Repair Distribution | | |P(y) |Cumulative |Repair Time | |0.2 |0 |1 | |0.45 |0.2 |2 | |0.25 |0.65 |3 | |0.1 |0.9 |4 | Break |Random |Time between Break |Random |Repair |Random |Lost |Cumulative | |Down |r1 |downs x (weeks) |r2 |Time |r3 |Rvenue |Time Σx | |1 |0.129 |2.158 |0.520 |2 |2252 |450.4 |2.158 | |2 |0.331 |3.450 |0.092 |1 |5563 |556.3 |5.608 | |3 |0.413 |3.854 |0.642 |2 |5225 |1045 |9.462 | |4 |0.358 |3.588 |0.889 |3 |7515 |2254.5 |13.050 | |5 |0.571 |4.536 |0.606 |2 |3637
Scenario: Richman Investments provides high-end smartphones to several employees. The value of each smartphone is $500, and approximately 1,000 employees have these company-owned devices. In the past year, employees have lost or damaged 75 smartphones .
Compute the projected profit for the order quantities suggested by the management team under three scenarios: worst case in which sales = 10,000 units, most likely case in which sales = 20,000 units, and best case in which sales = 30,000 units.
Rough approximation of the machine service rate μ based on the statistics from first 5 days:
Management should note that the level of activity was above what had been planned for the month. This led to an expected increase in profits of $1,100. However, the individual items on the report should not receive much management attention. The favorable variance for revenue and the unfavorable variances for expenses are entirely caused by the increase in activity.
A computer used by a 24-hour banking service is supposed to randomly assign each transaction to one of 5 memory locations. A check at the end of a day's transactions gave the counts shown in the table to each of the 5 memory locations, along with the number of reported errors.
She was a rich client who filed daily dispatches for NBC Interactive Media en route. She always
From a young age, I've had the dream of moving to and immersing myself in the culture of a foreign country. Being able to live and teach in Japan would allow me to fulfill this dream while also being in alignment with the goals of the JET Program. I have the long-term career goal of becoming a literary and media translator of Japanese, and think the program offers a unique opportunity to not only meet and communicate with native Japanese speakers, but also to have a firsthand experience with the culture of Japan. I believe being able to exchange ideas and languages with people from a different background will be both personally and professionally enriching, as well as facilitate goodwill and a sharing of cultures between countries.
What is the probability that a randomly selected order will require less than two minutes?
f. Force build-up time: Maximum estimated time to complete time sensitive operation (less is better for increasing odds of retrieving Zelzal-4)
Department |Employee |Salary PA |Daily pay rate |No of Sick Days 2012 |Cost of sick to business 2012 |No of Sick Days 2011 |Cost of Sick to the business 2011 | |Inbound |Agent 1 |15000 |57.69 |1 |57.69 |3 |173.07 | | |Agent 2 |15000 |57.69 |0 |0 |2 |115.38 | | |Agent 3 |15000 |57.69 |4 |230.76 |2 |115.38 | | |Agent 4 |15000 |57.69 |0 |0 |1 |57.69 | |
Around 5:56 pm, The Regional Approach Control's Feeder East controller transmitted an all aircraft message which was received by Flight 191. The message stated in part, Attention all aircraft listening, there is a little rain shower just north of the DFW airport and they are starting to make ILS approaches and to tune to frequency 1091 for 17L." (FAA). Around 5:59 pm, the co-pilot commented, we are going to get our airplane washed, indicating he was conscious of rain between plane and the runway, 17L at DFW (FAA). By this time Flight 191 was third in line to land on runway 17L, behind Flight 35, which was a Boeing 727 Learjet 25 and behind them for landing was American Flight 539, which was a McDonnell-Douglas MD-80. Flight 191 switched over to arrival control frequency for landing and reported there altitude.
ML had developed a policy of selling manual machines and renting automatic machines. Manual machines did not cost much, did not require service, and could be modified to attach different fasteners inexpensively. Automatic machines were rented on an annual basis because they would have been more expensive to sell and it provided annual income to ML. However, about 700 of the rented machines were returned each year. During the time that machines were in inventory, ML would modify the machines to attach different fasteners. This was expensive with an average cost per modification of $2000. If all 700 machines were modified during a given year this would have cost $1.4 million per year. It was also industry practice to provide preventative maintenance and
* Refer sheet “25000 Sales” for cost incurred and Gain/loss for AIFS for different scenarios and actual sales volume of 25000.
Table 3 shows the number of successful units per test, with the maximum number of successful units being 4 within a single simulation. Furthermore, these results show that the common form of success is a single unit, which shares its
Click on the green “Do it ! ” button at the bottom right of the simulation screen.