Tombro Industries is in the process of automating one of its plants and developing a flexible manufacturing system. The company is finding it necessary to make many changes in operating procedures. Progress has been slow, particularly in trying to develop new performance measures for the factory.
In an effort to evaluate performance and determine where improvements can be made, management has gathered the following data relating to activities over the last four months:
| Month | ||||||||
| 1 | 2 | 3 | 4 | |||||
| Quality control measures: | ||||||||
| Number of defects | 186 | 164 | 125 | 92 | ||||
| Number of warranty claims | 47 | 40 | 31 | 28 | ||||
| Number of customer complaints | 103 | 97 | 80 | 59 | ||||
| Material control measures: | ||||||||
| Purchase order lead time | 10 days | 9 days | 7 days | 5 days | ||||
| Scrap as a percent of total cost | 2 | % | 2 | % | 3 | % | 6 | % |
| Machine performance measures: | ||||||||
| Machine downtime as a percentage of availability | 4 | % | 5 | % | 5 | % | 8 | % |
| Use as a percentage of availability | 96 | % | 93 | % | 90 | % | 86 | % |
| Setup time (hours) | 10 | 12 | 13 | 14 | ||||
| Delivery performance measures: | ||||||||
| Throughput time | ? | ? | ? | ? | ||||
| Manufacturing cycle efficiency (MCE) | ? | ? | ? | ? | ||||
| Delivery cycle time | ? | ? | ? | ? | ||||
| Percentage of on-time deliveries | 97 | % | 96 | % | 93 | % | 90 | % |
The president has read in industry journals that throughput time, MCE, and delivery cycle time are important measures of performance, but no one is sure how they are computed. You have been asked to assist the company, and you have gathered the following data relating to these measures:
|
Average per Month (in days) |
||||
| 1 | 2 | 3 | 4 | |
| Wait
time per order before start of production |
10.0 | 12.4 | 13.0 | 15.0 |
| Inspection time per unit | 0.9 | 0.8 | 0.8 | 0.8 |
| Process time per unit | 2.8 | 2.3 | 1.6 | 1.0 |
| Queue time per unit | 3.1 | 4.2 | 5.3 | 7.3 |
| Move time per unit | 0.2 | 0.3 | 0.3 | 0.9 |
Required:
1-a. Compute the throughput time for each month.
1-b. Compute the manufacturing cycle efficiency (MCE) for each month.
1-c. Compute the delivery cycle time for each month.
3-a. Refer to the inspection time, process time, and so forth, given for month 4. Assume that in month 5 the inspection time, process time, and so forth, are the same as for month 4, except that the company is able to completely eliminate the queue time during production using Lean Production. Compute the new throughput time and MCE.
3-b. Refer to the inspection time, process time, and so forth, given for month 4. Assume that in month 6 the inspection time, process time, and so forth, are the same as in month 4, except that the company is able to eliminate both the queue time during production and the inspection time using Lean Production. Compute the new throughput time and MCE.
In: Accounting
Five years ago, a company was considering the purchase of 62 new diesel trucks that were 15.23% more fuel-efficient than the ones the firm is now using. The company uses an average of 10 million gallons of diesel fuel per year at a price of $1.25 per gallon. If the company manages to save on fuel costs, it will save $1.875 million per year (1.5 million gallons at $1.25 per gallon). On this basis, fuel efficiency would save more money as the price of diesel fuel rises (at $1.35 per gallon, the firm would save $2.025 million in total if he buys the new trucks).
Consider two possible forecasts, each of which has an equal chance of being realized. Under assumption #1, diesel prices will stay relatively low; under assumption #2, diesel prices will rise considerably. The 62 new trucks will cost the firm $5 million. Depreciation will be 25.17% in year 1, 38.07% in year 2, and 36.4% in year 3. The firm is in a 40% income tax bracket and uses a 11% cost of capital for cash flow valuation purposes. Interest on debt is ignored. In addition, consider the following forecasts:
Forecast for assumption #1 (low fuel prices):
|
Price of Diesel Fuel per Gallon |
|||
|
Prob. (same for each year) |
Year 1 |
Year 2 |
Year 3 |
|
0.1 |
$0.8 |
$0.92 |
$1.01 |
|
0.2 |
$1 |
$1.12 |
$1.09 |
|
0.3 |
$1.13 |
$1.23 |
$1.31 |
|
0.2 |
$1.3 |
$1.47 |
$1.47 |
|
0.2 |
$1.4 |
$1.56 |
$1.62 |
|
Forecast for assumption #2 (high fuel prices): |
|||
|
Price of Diesel Fuel per Gallon |
|||
|
Prob. (same for each year) |
Year 1 |
Year 2 |
Year 3 |
|
0.1 |
$1.2 |
$1.49 |
$1.71 |
|
0.3 |
$1.31 |
$1.72 |
$2.01 |
|
0.4 |
$1.79 |
$2.31 |
$2.49 |
|
0.2 |
$2.2 |
$2.52 |
$2.82 |
Required: Calculate the percentage change on the basis that an increase would take place from the NPV under assumption #1 to the probability-weighted (expected) NPV.
Further Information (solution steps):
In: Finance
HR Industries (HRI) has a beta of 1.5, while LR Industries's (LRI) beta is 0.7. The risk-free rate is 6%, and the required rate of return on an average stock is 13%. The expected rate of inflation built into rRF falls by 1.5 percentage points; the real risk-free rate remains constant; the required return on the market falls to 10.5%; and all betas remain constant. After all of these changes, what will be the difference in the required returns for HRI and LRI? Round your answer to two decimal places.
% ----
In: Finance
A simple economy consists of two industries: agriculture and manufacturing. The production of 1 unit of agricultural products requires the consumption of 0.2 unit of agricultural products and 0.3 unit of manufactured goods. The production of 1 unit of manufactured goods requires the consumption of 0.4 unit of agricultural products and 0.3 unit of manufactured goods.
(a) Find the total output of goods needed to satisfy a consumer demand for $120 million worth of agricultural products and $170 million worth of manufactured goods. (Round your answers to one decimal place.)
| agricultural products | |
| manufactured goods |
answer is wrong
(b) Find the value of the goods consumed in the internal process of
production in order to meet the gross output. (Round your answers
to one decimal place.)
| agricultural products | |
| manufactured goods |
In: Statistics and Probability
A simple economy consists of two industries: agriculture and manufacturing. The production of 1 unit of agricultural products requires the consumption of 0.2 unit of agricultural products and 0.3 unit of manufactured goods. The production of 1 unit of manufactured goods requires the consumption of 0.4 unit of agricultural products and 0.3 unit of manufactured goods. (a) Find the total output of goods needed to satisfy a consumer demand for $100 million worth of agricultural products and $160 million worth of manufactured goods. (Round your answers to one decimal place.) agricultural products $ million manufactured goods $ million (b) Find the value of the goods consumed in the internal process of production in order to meet the gross output. (Round your answers to one decimal place.) agricultural products $ million manufactured goods $ million
In: Economics
The COVID-19 pandemic has caused many retailers to shut down their business, layoff their employees, and drain their bank accounts.
While some federal funding will help these businesses stay afloat, many will have to adjust to new ways of operation once the quarantines are lifted.
Several ways can be used to reframe a retailer’s business model. Form reconfiguration; Time reconfiguring; Place reconfiguring; Possession reconfiguring. Using at least three of these methods of reframing, describe how a retailer of your choice will adjust its business model to be successful in reopening.
Choose a specific retailer from one of these categories:
Theme Park; Salon; Hotel; Beauty Supply Store; Sports Bar
In: Operations Management
Rewrite the grade program from Question 2.2 using a user-defined function called computegrade that takes a score as its parameter and returns a grade as a string. (15 points) USING PYTHON LANGUAGE
>= 0.9 A >= 0.8 B >= 0.7 C >= 0.6 D < 0.6 F
Run the program repeatedly as shown below to test the various different values for input.
Enter score: 0.95 A Enter score: perfect Bad score Enter score: 10.0 Bad score Enter score: 0.75 C Enter score: 0.5 F
In: Computer Science
Suppose 1% of the population of Toronto has been infected with SARS-CoV-2 at some point (call the corresponding proportion, 0.01, the prevalence of the virus). There are now antibody tests available for SARS-CoV-2 to detect whether someone has ever been infected. However, like any test, these tests are not perfect and are subject to error at some rate.
Also suppose that, when someone has been infected, the test correctly comes up positive 98% of the time, comes up negative 1.7% of the time, and comes up inconclusive in the remaining 0.3% of cases. Also suppose that when someone has not been infected, the test correctly comes up negative 99% of the time, positive 0.8% of the time, and inconclusive 0.2% of the time.
Let ?D be the event that a randomly selected person in Toronto has truly been infected (?D for disease). Thus, ??Dc is the event that the person has never been infected. Let ++ be the event that a test comes up positive, and – the event it comes up negative. Use ?O for inconclusive.
Draw a probability tree to depict the relationship between these events (see Lecture 7). Use the tree to compute ?(?|+)P(D|+), the probability that someone has been infected conditional on getting a positive test result. What does this result mean in words and why might it be surprising (1-2 sentences)?
In: Statistics and Probability
An automobile manufacturer has given its jeep a 56.7 miles/gallon (MPG) rating. An independent testing firm has been contracted to test the actual MPG for this jeep since it is believed that the jeep has an incorrect manufacturer's MPG rating. After testing 160 jeeps, they found a mean MPG of 56.4. Assume the population variance is known to be 4.41. A level of significance of 0.05 will be used. State the null and alternative hypotheses.
In: Statistics and Probability
For each of the following pairs of variables, indicate if you would expect the direction to be positive or negative.
(a) SAT score and College GPA for students.
Distance from the equator and average January temperature for US cities.
Age at death and weekly cigarette consumption
(b) Airfare and distance to destination
Number of miles driven and asking price for a used Honda Civic listed for sale.
Number of classes missed and overall course score in a class.
In: Statistics and Probability