...This Task explains different types of business information, their sources and the purpose of an organisation. The business I have chosen is Apple. Type of Information | Example | Description | Purpose | Source | Verbal | Face to Face Skype | If you have any problems you can go to see the staff at the store so they can help you by using face to face communication. Skype is used to communicate internationally. Apple may use Skype to do conference calls with other countries to find out how they can improve their products. | Inviting support for activitiesInforming Future Developments | Customer ServiceSales | Written | ReportNewspapers adverts | A Report is used to communicate to the CEO about the changes in the market such as what the economy is doing.Newspapers adverts are used to inform a mass number of employees about sales promotions which will encourage an increase in sales and profit. | Updating KnowledgeCommunicating Sales Promotions | FinancialMarketing | On-Screen | GraphsTelevisionAdverts | Graphs can be used in presentations for meetings to show how they can improve their products.Adverts are used to inform the customers about upcoming products which will start being sold soon. | SWOT analysisCommunicating Sales Promotions | SalesMarketing | Multimedia | | | | | Web-based | WebsitesSocial Media | Apple uses their website to communicate with people all over the world. Web based communication can allow Apple to tell people what they want about the business...
Words: 252 - Pages: 2
...Brendon Cassidy - P3 Research Brief We are trying to find out how well our new product would sell. Our new product is going to be, a product that allows users to stream movies and music from any device. We need to understand if there is already this competition out there and how trendy it is. Our focus is going to be on what the people want. We’re a company for the people, we give our customers what they want so they we will need to understand trends that are in at the minute. Research Objectives * How well the product will sell – (1 week time period for this information to be gathered) * We are going to complete this objective by using our own primary research. The research we are going to carry out will be a questionnaire. The reason for this is that it will allow us to get an in depth opinion of the customers by us using both quantitative and qualitative questions. For example not only asking if they like the idea, but asking why they would like the idea. * How much competition there is – (2 days for this to be completed) * We should complete this objective using secondary data. Using an internet based search engine, e.g. Google. So we can obtain information about how many other companies use a product that shows similarities to ours in this area. The reason we are going to collect this type of information is because it will be a lot quicker then asking each person if they use any products like this. Resulting in it taking less time which means we will have...
Words: 556 - Pages: 3
...computer It estimates that it will take competitors at least two yeas to produce equivalent products. The demand function for the computer has been estimated to be P = 2,500 - .0005Q The marginal (and average variable) cost of producing the computer is $900. a. Compute the profit-maximizing price and output levels assuming Pear acts as a monopolist for its product. Answer: The monopolist would equate marginal revenue (MR) with marginal cost (MC) Total revenue (TR) = P*Q = 2500Q-Q^2 MR = dTR/dQ = 2500-2Q We have MC = 900 So MR= MC implies 2500-2Q= 900, implies monopoly output Q* = 800 (in units of 100) And monopoly price P = 2500-0.0005*800 = 2499.6 b. Determine the total contribution to profits and fixed costs from the solution generated in part (a). Answer: Total profit = P*Q-MC*Q = 800*2499.6 900*800 = $ 1279680 (in units of 100) Pear Computer is considering an alternative pricing strategy of sliding down the demand curve. It plans to set the following schedule of prices over the coming two ------------------------------------------------- years. Branding Iron Products, a specialty steel fabricator, operates a plant in the town of West Star, Texas. The town has grown rapidly because of recent discoveries of oil and gas in the area town. Many of the new residents have expressed concerns at the amount of pollution (primarily particulate matter in the air and waste water in the town's rivers) emitted by Branding Iron. Three proposals...
Words: 848 - Pages: 4
...Unit 1 Government, Policies and the Public Services Learners Name: Assignment Title: 1 Roles and Levels of Government Assessment Criteria: P1,P2,M1 Unit Tutor: Mr Mitchell Assignment Issue Date: 9-9-13 Assignment Due Date: 24-10-13 Unit 1 Government, Policies and the Public Services Assignment 1 Learning Outcomes | 1 | Assessment Criteria | P1, P2, M1 | Assessment method | Powerpoint presentation with supporting written evidence | Suggested Reading 1. Axford B et al – Politics: An Introduction, 2nd Edition (Routledge, 2002) ISBN 0415226422/9780415226424 2. Peele G – Governing the UK, 4th Edition (Wiley-Blackwell, 2004) ISBN 0631226818/9780631226819 Journals 1. Fire 2. Police Review 3. Prison News 4. Soldier Magazines 1. The Economist 2. The Spectator 3. The Week Website 1. 10 Downing Street www.number10.gov.uk 2. Direct Gov – public services all in one place www.direct.gov.uk 3. Euro information from the Treasury www.euro.gov.uk 4. HM Treasury www.hm-treasury.gov.uk 5. Home Office www.homeoffice.gov.uk 6. Home Office – Working in the UK www.workingintheuk.gov.uk 7. Information for local government from central government www.info4local.gov.uk 8. Information on policies and standards for e-government www.cabinetoffice.gov.uk/govtalk.aspx 9. Independent software development and consultancy firm (provides links to central and local government websites) www.tagish.co.uk/links ...
Words: 612 - Pages: 3
...firms toward more optimal competitive behavior. Rate at which demand changes due to particular change of price of the commodity or price of other commodity or income of the consumer is called elasticity of demand. Elasticities greater than one are called "elastic," elasticities less than one are "inelastic", and elasticities equal to one are "unit elastic". Elasticities equal to infinity is called "perfectly elastic demand". Also elasticities equal to zero is called "perfectly inelastic demand". Demand elasticity is a measure of how much the quantity demanded will change if another factor changes. One example is the price elasticity of demand; this measures how the quantity demanded changes with price. This is important for setting prices so as to maximize profit. When price elasticity of demand is elastic, the firm should lower prices, since it will result in a big uptick in demand, increasing your total revenue. When price elasticity of demand is inelastic, the firm should increase prices because there will be only a small decrease in demand, and again, total revenue will increase. When price elasticity of demand is unit elastic, changing the price will not change total revenue, since price and quantity will generally change in lock step with each other. There are three types of elasticity of demand – i) Price elasticity of demand ii) Income elasticity of demand iii) Cross elasticity of demand...
Words: 2545 - Pages: 11
...MIS 208 SPRING 2015 HOMEWORK 1 (due 13:15 on Monday, 6 April 2015, in class at 101) Reading Assignment: Please read section Duality and Sensitivity Analysis of the text book Winston. You will be responsible on that section in the exam. Question 1: Two different products, P1 and P2 can be manufactured by one or both of two different machines, M1 and M2. The unit processing time of either product on either machine is the same. The daily capacity of machine M1 is 200 units (of either P1 or P2, or a mixture of both) and the daily capacity of machine M2 is 250 units. The shop supervisor wants to balance the production schedule of the two machines such that the total number of units produced on one machine is within 5 units of the number produced on the other. The profit per unit of P1 is $10 and that P2 is $15. Set up the problem as an LP in equation form. Question 2: A company manufactures purses, shaving bags and backpacks. The construction includes leather and synthetics, leather being the scarce raw material. The production process requires two types of skilled labor: sewing and finishing. The following table gives the availability of the resources, their usage by the three products, and the profits per unit. a) Formulate the problem as a linear program and find the optimal solution by using appropriate Simplex Methods that you have seen in the class b) From the optimum solution determine the status of each resource. Question 3: The following tableau...
Words: 480 - Pages: 2
...| Ali Al-Nasser | 20092446 | Problem Al Kobaisi Group is a ready mix company which has three plants in various locations among Kingdom of Bahrain. They signed a contract with Al-Moayed contracting to supply them with concrete mix for three different projects located at three different areas. The following tables show the amount of concrete mix each plant can provide and required quantities for each project: Al Kobaisi Group Plants | Supply | P1 | 200 m3/day | P2 | 450 m3/day | P3 | 325 m3/day | Project Name | Demand | M1 | 100 m3/day | M2 | 375 m3/day | M3 | 500 m3/day | Al Kobaisi Group will rent the trucks from a transportation company to transfer the concrete mix from the plants to the sites. Sales manager of Al Kobaisi Group wants to know the optimum way of assignment of trucks in which the cost will be minimum. Use the below table in order to help the manager in taking the decision using one of the L.P models. P/M | M1 | M2 | M3 | Supply | P1 | 20 | 5 | 13 | 200 | P2 | 9 | 18 | 7 | 450 | P3 | 11 | 16 | 23 | 325 | Demand | 100 | 375 | 500 | | In order to solve the above mentioned problem we are going to use transportation model. However, before starting the solution a brief description of the model will be illustrated as follow: Transportation Problem Many practical problems in operations research can be broadly formulated as linear programming problems, for which the simplex...
Words: 1536 - Pages: 7
...CPU SCHEDULINGCPU scheduling in UNIX is designed to benefit interactive processes. Processes are given small CPU time slices by a priority algorithm that reduces to round-robin scheduling for CPU-bound jobs.The scheduler on UNIX system belongs to the general class of operating system schedulers known as round robin with multilevel feedback which means that the kernel allocates the CPU time to a process for small time slice, preempts a process that exceeds its time slice and feed it back into one of several priority queues. A process may need much iteration through the "feedback loop" before it finishes. When kernel does a context switch and restores the context of a process. The process resumes execution from the point where it had been suspended.Each process table entry contains a priority field. There is a process table for each process which contains a priority field for process scheduling. The priority of a process is lower if they have recently used the CPU and vice versa.The more CPU time a process accumulates, the lower (more positive) its priority becomes, and vice versa, so there is negative feedback in CPU scheduling and it is difficult for a single process to take all the CPU time. Process aging is employed to prevent starvation.Older UNIX systems used a 1-second quantum for the round- robin scheduling. 4.33SD reschedules processes every 0.1 second and recomputed priorities every second. The round-robin scheduling is accomplished by the -time-out mechanism, which tells...
Words: 2136 - Pages: 9
...T1, T2 & T3 Unit Coordinator : Dr Chee Swee Yong Lecturers : Dr Sim Yoke Leng, Ms Chang Chew Cheen, Dr Chee Swee Yong, Dr Lim Tuck Meng, Dr Hnin Pwint Aung, Dr Lim Chan Kiang and Dr Mohammod Aminuzzaman |Week |Lecturer |Expt. |Day : Time |Group : Venue | | |Dr Neo KE |Briefing on Basic Laboratory Skills (Only for |Wednesday: | | |1 | |Y1T1 & T2 students) |9.00 am-11.30 am |P1,3: D012A | | | | |1.00 pm-3.30 pm |P2,4,5: D012A | | |Dr Sim YL |Expt 6: Preparation of |Tuesday: 2.00 pm-4.30 pm |P1: D012A | |2 | |bis(acetylacetonato)copper(II) | | | | | | |Wednesday: | | | | | |9.00 am-11.30 am |P1: D012B ...
Words: 901 - Pages: 4
...that allows customers to complete bank transactions without getting out of their cars. On weekday mornings, arrivals to the drive-up teller window occur at random, with an arrival rate of 24 customers per hour or 0.4 customers per minute. a) What is the mean or expected number of customers that will arrive in a five-minute period? The expected number is of 0.4*5 = 2 customer is a five-minute period. b) Assume that the Poisson probability distribution can be used to describe the arrival process. Use the arrival rate in part (a) and compute the probabilities that exactly 0, 1, 2, and 3 customers will arrive during a five-minute period. The probabilities of the described scenarios are as follows: P0=20e-20! P0=0.135335283 P1=21e-21! P1=0.270670566 P2=22e-22! P2=0.270670566 P3=23e-23! P3=0.180447044 c) Delays are expected if more than three customers arrive during any five-minute period. What is the probability that delays will occur? This probability can be expressed as the probability of more than 3 customers arriving during the five-minute period, which can be computed as following: P(x > 3) = 1 – P(x ≤ 3) P (x > 3) = 1 – 0.85712346 P(x > 3) = 0.14287654 Thus, there is a 14, 29% probability of expected delays in five-minute period. Problem 3 Use the single-server drive-up bank teller operation referred to in Problems 1 and 2 to determine the following characteristics for the system: Using arrival rate and service rate PER MINUTE ...
Words: 1040 - Pages: 5
...Chapter 6: CPU Scheduling • • • Basic Concepts Scheduling Criteria Scheduling Algorithms Operating System Concepts 6.1 Basic Concepts • Maximum CPU utilization obtained with multiprogramming. • CPU–I/O Burst Cycle – Process execution consists of a cycle of CPU execution and I/O wait. – Example: Alternating Sequence of CPU And I/O Bursts – In an I/O – bound program would have many very short CPU bursts. – In a CPU – bound program would have a few very long CPU bursts. Operating System Concepts 6.2 1 CPU Scheduler • The CPU scheduler (short-term scheduler) selects from among the processes in memory that are ready to execute, and allocates the CPU to one of them. • A ready queue may be implemented as a FIFO queue, priority queue, a tree, or an unordered linked list. • CPU scheduling decisions may take place when a process: 1. Switches from running to waiting state (ex., I/O request). 2. Switches from running to ready state (ex., Interrupts occur). 3. Switches from waiting to ready state (ex., Completion of I/O). 4. Terminates. • Scheduling under 1 and 4 is nonpreemptive; otherwise is called preemptive. • Under nonpreemptive scheduling, once the CPU has been allocated to a process, the process keeps the CPU until it releases the CPU either by terminating or by switching to the waiting state. Operating System Concepts 6.3 Dispatcher • Dispatcher module gives control of the CPU to the process selected by the short-term scheduler;...
Words: 1887 - Pages: 8
...Case Studies 1. SOLUTION TO STARTING RIGHT CASE, CH. 3, PAGE 110 This is a decision-making-under-uncertainty case. There are two events: a favorable market (event 1) and an unfavorable market (event 2). There are four alternatives, which include do nothing (alternative 1), invest in corporate bonds (alternative 2), invest in preferred stock (alternative 3), and invest in common stock (alternative 4). The decision table is presented. Note that for alternative 2, the return in a good market is $30,000 (1 + 0.13)5 = $55,273. The return in a good market is $120,000, (4 x $30,000) for alternative 3, and $240,000, (8 x $30,000) for alternative 4. Payoff table Laplace Event 1 Alternativ e1 Alternativ e2 Alternativ e3 Alternativ e4 0 55,273 Event 2 0 – 10,00 0 – 15,00 0 – 30,00 0 Average Value 0.0 22,636.5 Minimu m 0 – 10,000 – 15,000 – 30,000 Maximu m 0 55,273 Hurwicz Value 0.00 – 2,819.9 7 –150.00 120,00 0 240,00 0 52,500.0 120,000 105,000. 0 240,000 –300.00 Regret table Maximum Alternative Alternative 1 Alternative 2 Alternative 3 Alternative 4 Event 1 240,000 184,727 120,000 0 Event 2 0 10,000 15,000 30,000 Regret 240,000 184,727 120,000 30,000 a. Sue Pansky is a risk avoider and should use the maximin decision approach. She should do nothing and not make an investment in Starting Right. b. Ray Cahn should use a coefficient of realism of 0.11. The best decision is to do nothing. c. Lila Battle should eliminate alternative 1 of doing nothing and apply the maximin...
Words: 4522 - Pages: 19
...Case Studies 1. SOLUTION TO STARTING RIGHT CASE, CH. 3, PAGE 110 This is a decision-making-under-uncertainty case. There are two events: a favorable market (event 1) and an unfavorable market (event 2). There are four alternatives, which include do nothing (alternative 1), invest in corporate bonds (alternative 2), invest in preferred stock (alternative 3), and invest in common stock (alternative 4). The decision table is presented. Note that for alternative 2, the return in a good market is $30,000 (1 + 0.13)5 = $55,273. The return in a good market is $120,000, (4 x $30,000) for alternative 3, and $240,000, (8 x $30,000) for alternative 4. Payoff table Laplace Hurwicz Event 1 Event 2 Average Value Minimu m Maximu m Value Alternativ e1 0 0 0.0 0 0 0.00 Alternativ e2 55,273 – 10,00 0 22,636.5 – 10,000 55,273 – 2,819.9 7 Alternativ e3 120,00 0 – 15,00 0 52,500.0 – 15,000 120,000 –150.00 Alternativ e4 240,00 0 – 30,00 0 105,000. 0 – 30,000 240,000 –300.00 Regret table Maximum Alternative Event 1 Event 2 Regret Alternative 1 240,000 0 240,000 Alternative 2 184,727 10,000 184,727 Alternative 3 120,000 15,000 120,000 Alternative 4 0 30,000 30,000 a. Sue Pansky is a risk avoider and should use the maximin decision approach. She should do nothing and not make an investment in Starting...
Words: 4522 - Pages: 19
...Portfolio Modeling and Evaluation: Beating the Market ABSTRACT During the period of 2005 to 2010, the market portfolio (P1) and one suggested portfolio (P3) post a positive absolute return of 0.80% and 0.82% respectively which underperformed the active fund portfolio (P2) 0.91%. This report follows various modeling methods in order to back test the performance of the active fund portfolio and compare its performance with that of two other portfolios. The findings indicate that, even though P2 achieves the highest return on the overall performance, the limitations such as the macro environment, the assumptions set, and the Shrinkage method used that accidentally downsizes some valuable stocks in out-‐samples as they are closely correlated are being ignored. By contrast, P3 will probably offer a “middle-‐choice” which will bring a promising and more stable return. 1 Portfolio...
Words: 5765 - Pages: 24
...Cobb–Douglas Production Functions 1 mathematical tricks • the derivative of αxβ with respect to x is αβxβ−1 • xα xβ = xα+β (for any α and β) • 1 xα = x−α • if m = nB , then n = m1/B 2 the production function A production function y = f (x1 , x2 ) is a Cobb–Douglas production function if it can be written in the form y = Axa xb 1 2 (1) where A, a and b are positive constants. So the partial derivatives of a Cobb–Douglas production function are : M P1 = M P2 = ∂y = aAxa−1 xb 1 2 ∂x1 (2) ∂y = bAxa xb−1 (3) 1 2 ∂x2 The absolute value of the slope of an isoquant is the technical rate of substitution, or T RS. This T RS equals M P1 /M P2 so that (2) and (3) imply that T RS = M P1 ax1 = M P2 bx2 1 (4) Equations (2) and (3) imply that the Cobb–Douglas technology is monotonic, since both partial derivatives are positive. Equation (4) demonstrates the technology is convex, since the (absolute value) of the T RS falls as x1 increases and x2 decreases. 3 returns to scale Suppose that all inputs are scaled up by some factor t. The new level of output is (5) f (tx1 , tx2 ) = A(tx1 )a (tx2 )b = ta+b Axa xb 1 2 Notice from equation (5) that f (tx1 , tx2 ) = ta+b f (x1 , x2 ). We have increasing returns to scale if f (tx1 , tx2 ) > tf (x1 , x2 ) whenever t > 1. So here we have increasing returns to scale if ta+b > t, which is the same thing as a + b > 1. Similarly, decreasing returns to scale arise if f (tx1 , tx2 ) < tf (x1 , x2 ) whenever t > 1. Here...
Words: 1446 - Pages: 6
