Questions
DF Limited is a manufacturing company that carries out jobs to customers requirements in three production...

DF Limited is a manufacturing company that carries out jobs to customers requirements in three production departments. The following data is available for Jobs A, B and C.

                                                                                    A         B         C

Bought in components                                             £248    £76      -

Direct material from stores                                       £312    £32    £96

Direct labour hours:  

             Machining                                                   12        18        15

             Assembling                                                  6          9        4

             Finishing and Spraying                                3        2        2

Hourly wage rates:

             Machining                             £12.00

             Assembling                            £8.00

             Finishing and Spraying          £6.00

Production overhead absorption rates per direct labour hour:

             Machining                            £26.00

            Assembling                           £21.00

             Finishing and Spraying       £25

Your cost estimates should include allowances for:

  1.           20% of total production cost for administration overhead
  2.           Profit of 12.5% on selling price.

In: Accounting

El toro grande restaurant advertises that customers will have their orders taken with three minutes of...

El toro grande restaurant advertises that customers will have their orders taken with three minutes of being seated. Management wants to monitor average times, as it is such an important guarantee for business. Construct x? - and s-charts for the data given in the worksheet pro07-05 in the ch07data.xlsx file for this chapter.

a. compute the sample means and the average standard deviation, calculate the control limits, and plot them on control charts.

b. does the process appear to be in statistical control? Why or why not?

c. calculate the process capability statistics, using three minutes as the upper tolerance limit and zero as the lower tolerance limit. What recommendation would you make to management concerning the process, based on your findings?

El Toro Grande Restaurante
1 1.22 1.54 1.53 1.86 1.49
2 1.48 1.18 1.41 1.29 1.61
3 2.12 1.76 1.29 1.78 1.74
4 1.34 1.22 1.29 1.69 1.42
5 1.11 1.21 1.34 1.95 1.22
6 0.73 1.97 1.51 1.67 1.77
7 1.20 1.46 1.05 1.14 1.80
8 1.72 1.58 1.79 1.95 0.83
9 1.23 1.39 1.57 1.49 1.58
10 0.70 0.94 1.14 1.54 1.81
11 1.50 1.83 1.60 1.15 1.79
12 1.72 1.61 1.63 1.84 1.95
13 1.64 1.13 1.60 1.87 1.36
14 0.73 1.39 1.39 1.85 1.86
15 1.72 1.42 1.59 0.70 1.55
16 1.91 2.08 1.64 1.77 1.60
17 1.63 1.57 0.95 2.02 1.69
18 1.53 1.47 2.05 1.19 1.52
19 1.18 1.78 1.37 1.53 1.30
20 1.74 2.14 1.24 0.92 1.34
21 1.47 1.89 1.53 2.28 1.84
22 1.68 1.35 1.26 1.58 1.63
23 0.99 1.57 1.45 1.50 1.98
24 1.92 1.01 0.93 1.68 1.96
25 2.15 1.57 1.75 1.72 1.63
26 1.13 0.99 1.27 1.35 1.37
27 1.87 1.74 0.89 1.61 1.77
28 0.99 1.36 0.89 1.54 2.01
29 1.75 1.96 1.57 1.67 2.31
30 1.59 2.15 1.68 1.42 1.50
31 0.93 1.65 1.29 1.02 1.48
32 1.40 1.98 1.54 0.97 1.62
33 1.69 1.62 1.47 1.81 0.97
34 1.98 1.26 1.32 1.17 1.39
35 1.73 1.42 2.06 1.27 1.34
36 1.45 1.57 1.70 1.32 1.26
37 1.98 1.61 1.45 1.46 2.19
38 1.46 1.46 1.70 1.56 1.93
39 1.80 1.34 1.46 1.91 1.10
40 1.04 1.29 1.30 1.77 1.13

In: Operations Management

The distribution system for the Herman Company consists of three plants, two warehouses, and four customers....

The distribution system for the Herman Company consists of three plants, two warehouses, and four customers. Plant capacities and shipping costs per unit (in $) from each plant to each warehouse are as follows:

                       Warehouse

Plant           1                       2            Capacity

1                4                        7               450

2                8                         5              600

3                5                         6               380

                            Customer

Warehouse          1                        2                            3                             4

1                            6                       4                            8                             4

2                           3                         6                            7                             7

Demand                300                     300                         300                        400

Formulate the linear programming model to minimize the cost of shipping for this transshipment problem.

A-at the optimal solution how much is shipped from Plant 3 to Warehouse 1?

B-what is the range of optimality of coefficient of cost from Plant 3 to Warehouse 1 and what does this

mean?

C-what is the range of feasibility for the supply amount for Plant 2 and what does it mean?

D-what is the range of feasibility for the demand amount for customer 2 and what does it mean?

In: Operations Management

The distribution system for the Herman Company consists of three plants, two warehouses, and four customers....

The distribution system for the Herman Company consists of three plants, two warehouses, and four customers. Plant capacities and shipping costs per unit (in $) from each plant to each warehouse are shown below along with customer demand and shipping costs per unit (in $) from each warehouse to each customer

Formulate the linear programming model to minimize the cost of shipping for this transshipment problem.

A-at the optimal solution how much is shipped from Plant 3 to Warehouse 1?

B-what is the range of optimality of coefficient of cost from Plant 3 to Warehouse 1 and what does this mean?

C-what is the range of feasibility for the supply amount for Plant 2 and what does it mean?

d-what is the range of feasibility for the demand amount for customer 2 and what does it mean?

Warehouse 1

Warehouse 2

Plant Capacity

Plant 1

4

7

450

Plant 2

8

5

600

Plant 3

5

6

380

Customer 1

Customer 2

Customer 3

Customer4

Warehouse 1

6

4

8

4

Warehouse 2

3

6

7

7

Demand

300

300

300

400

In: Operations Management

(a) draw and label a sketch of the normal curve (b) identify and shade the area...

(a) draw and label a sketch of the normal curve

(b) identify and shade the area of interest

(c) identify any formulas and values substituted

(d) identify the calculator command used and values entered into the calculator

(e) write your response as a decimal rounded to three places

A greenhouse in a tri-county area has kept track of its customers for the last several years and has determined that 28% of its customers plant a vegetable garden in the spring.  

Use the Central Limit Theorem.

a.  In a random sample of 1000 customers, what is the probability that at most 300 customers plant a vegetable garden in the spring.

b.   In a random sample of 1000 customers, what is the probability that at least 225 customers plant a vegetable garden in the spring?

c.   In a random sample of 1000 customers, what is the probability that 275 to 325 customers plant a vegetable garden in the spring?

In: Statistics and Probability

Scenario: You are an information technology (IT) intern working for Health Network, Inc. (Health Network), a...

Scenario: You are an information technology (IT) intern working for Health Network, Inc. (Health Network), a fictitious health services organization headquartered in Minneapolis, Minnesota. Health Network has over 600 employees throughout the organization and generates $500 million USD in annual revenue. The company has two additional locations in Portland, Oregon and Arlington, Virginia, which support a mix of corporate operations. Each corporate facility is located near a colocation data center, where production systems are located and managed by third-party data center hosting vendors.

Company Products Health Network has three main products: HNetExchange, HNetPay, and HNetConnect.

HNetExchange is the primary source of revenue for the company. The service handles secure electronic medical messages that originate from its customers, such as large hospitals, which are then routed to receiving customers such as clinics.

HNetPay is a Web portal used by many of the company’s HNetExchange customers to support the management of secure payments and billing. The HNetPay Web portal, hosted at Health Network production sites, accepts various forms of payments and interacts with credit-card processing organizations much like a Web commerce shopping cart.

HNetConnect is an online directory that lists doctors, clinics, and other medical facilities to allow Health Network customers to find the right type of care at the right locations. It contains doctors’ personal information, work addresses, medical certifications, and types of services that the doctors and clinics offer. Doctors are given credentials and are able to update the information in their profile. Health Network customers, which are the hospitals and clinics, connect to all three of the company’s products using HTTPS connections. Doctors and potential patients are able to make payments and update their profiles using Internet-accessible HTTPS Web sites.

Information Technology Infrastructure Overview

Health Network operates in three production data centers that provide high availability across the company’s products. The data centers host about 1,000 production servers, and Health Network maintains 650 corporate laptops and company-issued mobile devices for its employees. Threats Identified Upon review of the current risk management plan, the following threats were identified:

*) Loss of company data due to hardware being removed from production systems ? Loss of company information on lost or stolen company-owned assets, such as mobile devices and laptops

*) Loss of customers due to production outages caused by various events, such as natural disasters, change management, unstable software, and so on

*) Internet threats due to company products being accessible on the Internet

*) Insider threats

*) Changes in regulatory landscape that may impact operations Management Request

Senior management at Health Network has determined that the existing risk management plan for the organization is out of date and a new risk management plan must be developed. Because of the importance of risk management to the organization, senior management is committed to and supportive of the project to develop a new plan. You have been assigned to develop this new plan.

Additional threats other than those described previously may be discovered when re-evaluating the current threat landscape during the risk assessment phase.

The budget for this project has not been defined due to senior management’s desire to react to any and all material risks that are identified within the new plan. Given the company’s annual revenue, reasonable expectations can be determined.

Project Part 2 Task 3: Disaster Recovery Plan (DRP)

Your project on risk management, the BIA, and the BCP have been well received by senior management at Health Network. They now want you to develop a DRP in order to overcome any mishaps that might occur in the future. You may research and use National Institute of Standards and Technology (NIST) templates to develop a DRP plan for the company.

Evaluation Criteria and Rubrics (Ask these questions to yourself)

  • Did I develop a DRP that could recover business operations while efforts are ongoing to restart pervious operations?
  • Did I completely fill out the template found in their research?
  • Did I completely understand the DRP constructs presented in class?
  • Did I create a professional, well-developed report with proper grammar, spelling, and punctuation?

In: Operations Management

Read the below article and answer the following questions, in regards to Operations and Supply Chain...

Read the below article and answer the following questions, in regards to Operations and Supply Chain management:

1) A comparative analysis of two systems (One with a single line and tree servers and a second with 3 waiting lines and three servers) found that the first is approximately three times more effective. Provide and illustrate three reasons for this difference in performance (Keep in mind service rate variability, customers and employers behavior.

2) Amusement park priority in term of customer satisfaction is to decrease the customers waiting time. Provide and explain two approaches that Amusement parks use to improve the customers experience from a waiting perspectives.   

Article: Why You Always Seem to Get Stuck in the Slowest Line

Liz Klimas (http://www.theblaze.com/author/liz­klimas/) July 16, 2014 10:27 am

You’ve taken a peek into nearly every line at the grocery store and selected the one that you think will get you checked out the fastest. Then you see someone in the next line over, who queued up two minutes after you, heading out the door well before all of your goods have even been bagged.

Feel like this happens to you every time you pick a line? There’s probably a reason. "When you’re selecting among several lines at the grocery store, the odds are not in your favor. Chances are, the other line really is faster,” Adam Mann for Wired wrote (http://www.wired.com/2014/07/whatsup­with­the­other­line­is­always­faster/). “Mathematicians who study the behavior of lines are called queueing theorists, and they’ve got the numbers to prove this. Their models also underlie a diverse set of modern problems, including traffic engineering, factory design, and Internet infrastructure. At the same time, queueing theory provides a fairer way to checkout at the store. The only problem is that many customers don’t like it.” Based on queuing theory, which Mann goes into detail about (http://www.wired.com/2014/07/whatsup­with­the­other­line­is­always­faster/), there is no special trick to ensure you will always be in the fastest line possible. "A grocery store tries to have enough employees at the checkout lines to get all their customers through with minimum delay. But sometimes, like on a Sunday afternoon, they get super busy. Because most grocery stores don’t have the physical space to add more checkout lines, their system becomes overwhelmed,” he wrote. “Some small interruption — a price check, a particularly talkative customer — will have downstream effects, holding up the entire line behind them. "If there are three lines at the store, these delays will happen randomly at different registers,” Mann continued. “Think about the probability. The chances of your line being that fastest one are only one in three. Which means you have a two­thirds chance of not being in the fastest line. So it’s not just in your mind: Another line is probably moving faster than yours.”
To take care of at least part of this problem, queuing theorists suggest having all customers stand in a single long line and then each clerk serves the next person as they become available. This is similar to the method employed at several Trader Joe’s and T.J. Maxx stores, as well as many fast­food chains, for example. "With a serpentine line, a long delay at one register won’t unfairly punish the people who lined up behind it. Instead, it will slow everyone down a little bit,” Mann wrote. Unfortunately, Mann noted, many customers actually prefer to test their luck rather than stand in one long line. Traffic lanes come with a host of other issues that can make one seem slower than the other. One of them, Tom Stafford for the BBC wrote, is the “universe­victim theory.”
“When my lane is moving along I’m focusing on where I’m going, ignoring the traffic I’m overtaking. When my lane is stuck I’m thinking about me and my hard luck, looking at the other lane. No wonder the association between me and being overtaken sticks in memory more,” he said, explaining the one of the psychological aspects (http://www.bbc.com/future/story/20130827­why­other­queues­move­faster) that plays into lines.
Tom Vanderbilt, author of “Traffic: Why We Drive the Way We Do” who wrote of the “other lane” issue, among other observations of how traffic has shaped us, agreed with this psychological aspect in a Q&A (http://freakonomics.com/2008/06/05/hows­my­driving­a­qa­with­the­author­of­traffic/).

“Given the general findings that humans are more sensitive to losses than gains, it doesn’t seem a stretch to imagine that this sense of being passed — of the other lane being faster — would stick out in our brains. All you have to do is pick out a benchmark car in the adjoining lane to see how often we fall for this illusion,” he said (http://freakonomics.com/2008/06/05/hows­my­driving­a­qa­with­the­authorof­traffic/). “I’ve seen these cars pass well out of vision, only to find myself passing them again minutes later. Part of the reason this seesaw effect is happening in the first place is because of all the drivers ahead thought they could get a better deal, and basically ended up just shifting the equilibrium around temporarily.”

In: Operations Management

A model rocket is fired vertically upward from rest. Its acceleration for the first three seconds...

A model rocket is fired vertically upward from rest. Its acceleration for the first three seconds is a(t)=96t, at which time the fuel is exhausted and it becomes a freely "falling" body. 1919 seconds later, the rocket's parachute opens, and the (downward) velocity slows linearly to −16 ft/s in 5 s. The rocket then "floats" to the ground at that rate.

(a) Determine the position function s and the velocity function v(for all times t).

v(t)=
   if 0≤t≤3
    if 3<t≤22
    if 22<t≤27
   if t>27
s(t)=
    if 0≤t≤3
   if 3<t≤22
    if 22<t≤27
    if t>27

(b) At what time does the rocket reach its maximum height? (Round your answer to two decimal places.)

What is that height? (Round your answer to the nearest integer.)

(c) At what time does the rocket land? (Round your answer to one decimal place.)

In: Physics

Transactions; Financial Statements Bev’s Dry Cleaners is owned and operated by Beverly Zahn. A building and...

Transactions; Financial Statements

Bev’s Dry Cleaners is owned and operated by Beverly Zahn. A building and equipment are currently being rented, pending expansion to new facilities. The

actual work of dry cleaning is done by another company for a fee. The assets and the liabilities of the business on November 1, 2019, are as follows: Cash,

$14,280; Accounts Receivable, $29,240; Supplies, $2,720; Land, $34,000; Accounts payable, $12,240. Business transactions during November are

summarized as follows:

a. Beverly Zahn invested additional cash in the business with a deposit of $27,000 in the business bank account.

b. Purchased land adjacent to land currently owned by Bev’s Dry Cleaners to use in the future as a parking lot, paying cash of $13,400.

c. Paid rent for the month, $16,320.

d. Charged customers for dry cleaning revenue on account, $4,900.

e. Paid creditors on account, $2,280.

f. Purchased supplies on account, $12,080.

g. Received cash from cash customers for dry cleaning revenue, $26,110.

h. Received cash from customers on account, $32,640.

i. Received monthly invoice for dry cleaning expense for November (to be paid on December 10), $13,060.

j. Paid the following: wages expense, $7,180; truck expense, $2,610; utilities expense, $2,770; miscellaneous expense, $1,240.

k. Determined that the cost of supplies on hand was $1,800; therefore, the cost of supplies used during the month was $3,200.

l. Withdrew $7,500 cash for personal use; Financial Statements

Bev’s Dry Cleaners is owned and operated by Beverly Zahn. A building and equipment are currently being rented, pending expansion to new facilities. The

actual work of dry cleaning is done by another company for a fee. The assets and the liabilities of the business on November 1, 2019, are as follows: Cash,

$14,280; Accounts Receivable, $29,240; Supplies, $2,720; Land, $34,000; Accounts payable, $12,240. Business transactions during November are

summarized as follows:

a. Beverly Zahn invested additional cash in the business with a deposit of $27,000 in the business bank account.

b. Purchased land adjacent to land currently owned by Bev’s Dry Cleaners to use in the future as a parking lot, paying cash of $13,400.

c. Paid rent for the month, $16,320.

d. Charged customers for dry cleaning revenue on account, $4,900.

e. Paid creditors on account, $2,280.

f. Purchased supplies on account, $12,080.

g. Received cash from cash customers for dry cleaning revenue, $26,110.

h. Received cash from customers on account, $32,640.

i. Received monthly invoice for dry cleaning expense for November (to be paid on December 10), $13,060.

j. Paid the following: wages expense, $7,180; truck expense, $2,610; utilities expense, $2,770; miscellaneous expense, $1,240.

k. Determined that the cost of supplies on hand was $1,800; therefore, the cost of supplies used during the month was $3,200.

l. Withdrew $7,500 cash for personal use; Financial Statements

Bev’s Dry Cleaners is owned and operated by Beverly Zahn. A building and equipment are currently being rented, pending expansion to new facilities. The

actual work of dry cleaning is done by another company for a fee. The assets and the liabilities of the business on November 1, 2019, are as follows: Cash,

$14,280; Accounts Receivable, $29,240; Supplies, $2,720; Land, $34,000; Accounts payable, $12,240. Business transactions during November are

summarized as follows:

a. Beverly Zahn invested additional cash in the business with a deposit of $27,000 in the business bank account.

b. Purchased land adjacent to land currently owned by Bev’s Dry Cleaners to use in the future as a parking lot, paying cash of $13,400.

c. Paid rent for the month, $16,320.

d. Charged customers for dry cleaning revenue on account, $4,900.

e. Paid creditors on account, $2,280.

f. Purchased supplies on account, $12,080.

g. Received cash from cash customers for dry cleaning revenue, $26,110.

h. Received cash from customers on account, $32,640.

i. Received monthly invoice for dry cleaning expense for November (to be paid on December 10), $13,060.

j. Paid the following: wages expense, $7,180; truck expense, $2,610; utilities expense, $2,770; miscellaneous expense, $1,240.

k. Determined that the cost of supplies on hand was $1,800; therefore, the cost of supplies used during the month was $3,200.

l. Withdrew $7,500 cash for personal use

In: Accounting

Explain in 200 words the relationship between Openness and economic development by calculating the correlation coefficient...

Explain in 200 words the relationship between Openness and economic development by calculating the correlation coefficient between GDP per capita (proxy for economic development) and Openness for Paraguay and Poland, respectively.

Country Name Country Code Series Name Series Code 2001 [YR2001] 2002 [YR2002] 2003 [YR2003] 2004 [YR2004] 2005 [YR2005] 2006 [YR2006] 2007 [YR2007] 2008 [YR2008] 2009 [YR2009] 2010 [YR2010] 2011 [YR2011] 2012 [YR2012] 2013 [YR2013] 2014 [YR2014]
Paraguay PRY Exports of goods and services (current US$) NE.EXP.GNFS.CD 3459319570 3402825624 3625989129 4371893087 5083809323 6252319090 7818347667 9993980610 8210295841 11036468064 13186264509 12278348692 14356651476 13954911448
Paraguay PRY GDP (current US$) NY.GDP.MKTP.CD 7662595076 6325151760 6588103836 8033877360 8734653809 10646157920 13794910634 18504130753 15929902138 20030528043 25099681461 24595319574 28965906502 30881166852
Paraguay PRY GDP per capita (current US$) NY.GDP.PCAP.CD 1417 1148 1175 1409 1507 1810 2312 3060 2600 3226 3988 3856 4480 4713
Paraguay PRY GINI index (World Bank estimate) SI.POV.GINI 55 57 56 53 51 54 52 51 50 52 53 48 48 52
Paraguay PRY Imports of goods and services (current US$) NE.IMP.GNFS.CD 2727373823 2298406126 2623501714 3307792347 4018039423 5221045741 6461917817 9166237324 7130137358 10313046052 12621883682 11979621541 12983600420 13242370791
Poland POL Exports of goods and services (current US$) NE.EXP.GNFS.CD 51878648721 57137009804 72632296220 87410323710 105952277925 130565028203 165538367008 202086584758 163740453116 191967370760 225042181278 222344181762 242809098962 259386390289
Poland POL GDP (current US$) NY.GDP.MKTP.CD 190521263343 198680637255 217518642325 255102252843 306134635594 344826430298 429249647595 533815789474 440346575958 479257883742 528725113046 500284003684 524201151607 545075908846
Poland POL GDP per capita (current US$) NY.GDP.PCAP.CD 4981 5197 5694 6681 8021 9041 11260 14001 11542 12598 13891 13144 13780 14340
Poland POL GINI index (World Bank estimate) SI.POV.GINI 33 34 35 35 35 34 34 34 34 33 33 32 33 32
Poland POL Imports of goods and services (current US$) NE.IMP.GNFS.CD 58766945944 63908088235 78406788377 94256069554 109183717624 137680257857 180703003578 228993441806 167514280213 201543256955 235386043059 224546822229 232598709188 251529270071

In: Economics