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The Tech Center Essay Sample

The Tech Center Pages
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Introduction
The available of technology, such as, computers, tablets, ebooks, and even Internet are absent in many households in America still. As of 2013, the Census Bureau suggested that “84% of U.S. households own a computer, and 73% of U.S. households have a computer with a broadband connection to the internet (Pew Research Center).” It also mentioned “63.6% having a handheld computer. (Census Bureau)” A survey by Pew Research Center confirmed those stats, as 70% reported they have broadband access. These numbers show that there is still a large number of Americans who don’t own a computer, nor have access to the Internet. “Nearly 25 million households (21%) have no regular internet access at all, either at home or elsewhere (Pew Research Center).” This is the purpose for the Community Tech Center. The ultimate goal is to stimulate the use of technology in a community by providing devices and Internet access, but not only providing the tools but also building technical skills.

Project Product
1. We intend to get funding from either private and/or public organizations who want to see information technology grow in the community. 2. The aim is to target a building in a safe location for low to middle class citizens to take advantage of this opportunity. 3. Connecting with certain technology vendors who may want to contribute, may allow the center to receive discounted hardware and software, which includes desktops, laptops, iPad, kindles, antiviruses, learning software, etc. 4. Seeking volunteers who may want to teach classes that further IT knowledge will also be beneficial, funds could be used to pay any other educational services that would be needed. 5. Because of the merchandise within the facility, security will need to be available 24×7 and insurance will be needed on all merchandise.

Project Deliverables
1. The Tech Center is expected to provide an ergonomic environment containing up-to-date hardware such as laptops, desktops, monitors, printers, and tablets (kindles, iPad, etc.). 2. Ergonomic chairs and keyboards will add for comfort-ability. 3. Various software will be needed for success, including internet access, eBooks, antiviruses, and other learning and word processing tools. 4. Security will need to be contracted and insurance contracts will need to be put in place. 5. The most important part is the facility, which needs to have functioning plumbing along with heating and air.

Project Objectives
1. Cost for building a Tech center include the building, equipment and salaries for all employees working there. 2. Rent 3000 – 4000 sq. ft. building with rent of up to $4,000, with a contingency budget of $1,000. Must contain working plumbing and heating and air. For 4 months’ rent $16,000, contingency of $4,000. 3. The equipment will include computers, tablets, software, and furniture which will cost $25,000, with a contingency budget of $5,000. 4. Security system service budget of $2500.

5. Total Budget of $45,000, and contingency budget of $10,000. 6. The time frame will be 3-4 months.
7. The objective is to provide the place where people may come to use and learn more about the technology that is being used in everyday life. 8. Seek volunteers for center.
Project Assumptions
1. We will be able to get funding to complete all required tasks. 2. We will be able to find tutors to help classes about IT. 3. We will able to get all the technology required for the building in a timely manner. 4. We will be able to find and maintain security for the building. 5. As long as the direction is clear, then there should be no unforeseen circumstances. 6. We assume that everything will be functional on the grand opening. 7. We assume that we will have enough staff to operate the business. 8. We assume that we will find a building that suits project needs. 9. Backup power supplies are not being installed.

Project Constraints
1. Limiting factors include finding a suitable location because without a location this project will fail. 2. All the equipment needs to be setup and tested before it can be used by anyone. 3. Security guards can be constraints since there is valuable merchandise at the location. 4. Shortage of volunteers.

5. Shortage of donor funds.
6. Late arrival of equipment, including electronics and furnishings. 7. Age of building limits usability or technology, and safety concerns. 8. Size of building could limit number of participants and equipment. 9. Building codes.

10. Number of rooms.
11. Limited power connections.
12. Not able to handle power outages.
Exclusions
1. Center will initially provide basic computer and training sessions. 2. No supervision of under 10 year olds.
3. No food is allowed around equipment.
4. Cannot remove equipment from facilities.
5. Due to bandwidth constraints, video streaming is not allowed. 6. Wi-Fi is secured and can only be accessed by facility equipment, unless noted otherwise. Acceptance Criteria
1. Tech Centers must undertake activities that facilitate knowledge transfer, i.e., the exchange of scientific and technical information with the local students. 2. Tech Centers must provide a rich environment for encouraging future scientists, engineers, and educators. 3. Tech Center must foster excellence in education by integrating education and technology. 4. Desktops and PCs must be available with antivirus and internet access. 5. Security and insurance is a must.

6. The facility must be at least 2500 sq. ft. with working plumbing and heating and air. 7. Volunteers must have at least novice knowledge of facility equipment. 8. At least 50% of the budget is covered by donors.

9. Security system comes with security guards and surveillance monitoring.

Technical Requirements
1. The tech center shall have a hardware and software, which includes desktops, laptops, iPad, kindles, antiviruses, learning software, etc. 2. Antivirus is installed on all hardware.
3. Internet is available to all devices within the facility.
4. Power outlets are available throughout the facility.

Risk Response Planning
Positive Risks
1. Quality and services of the Tech Center improve the capabilities of students in the area of technology When technology and tutors providing lessons for everyone, trainers will transfer lessons over to more qualified trainers. 2. State/government involvement due to community service for students When the government offers extended funding, the project manager will accept it and cooperate with government officials. 3. Too many volunteers apply

When a new locations opens, the tech center manager will interview applicants for new center. 4. Job placement for young and qualified students
a. New location is accepting students in technology field, the tech center manager will interview applicants for new center. 5. Other nonprofits want to team up
a. When contacted by other nonprofits, the project manager will begin to plan with other organization ways to integrate services for program enhancement. 6. The building already has a security system

a. When the leaser confirms that the facility has security, the project manager will cancel plans to contract security. 7. Need expansion because of the popularity and services
a. When the capacity is consistently reached and substantial funding, the project manager will begin the process of finding another suitable building, location, and volunteers. 8. Good deals on software and hardware

a. When better than expected equipment deals are found, the project manager will continue to compare prices between vendors. 9. We received no damaged equipment
a. When the equipment is delivered without damage, the tech center manager will have the equipment installed. 10. Internships possible
New location is offering internships for current students, the tech center manager will interview applicants for new center. 11. Good price found on security system
When better than expected security system deals are found, the project manager will continue to compare prices between vendors. 12. Find furniture at good price
When better than expected furniture deals are found, the project manager will continue to compare prices between vendors. 13. Find very high qualified volunteers for giving free trainings When highly qualified volunteer(s) apply or is found, the tech manager will plan course with the applicant. 14. Get many investors/donations

When an overwhelming amount of donors agree to donate money, the project manager will continue to follow up with investors keeping them up to date on the project. 15. Building has all utilities required

When the inspector confirms that the building has all needed utilities, the project manager will continue searching for buildings comparing prices. 16. Technology is donated at no cost
When free technology is offered, the project manager will accept the offer to benefit the center. Negative Risks
1. Non availability of high speed internet
When we are unable to find high speed internet in the area, the project manager will begin to look into alternative methods of high speed internet services. 2. Lack of funding
When it’s noticed that there’s not enough money to purchase all the equipment needed, the project manager will reduce the scope by lowering the number of equipment needed. 3. Not everyone gets enough time on computers

When large number of people are waiting for devices, the tech center manager decrease usage time of equipment. 4. A center offering same services opens in location
When an announcement of the opening of a competing center occurs, the project manager should communicate with the center to possibly join efforts to reach out to the community. 5. Enrollment Declines

When the capacity starts to decline, the project manager will start to improve the quality of the services provided and increase the marketing for the center. 6. Equipment safety
When device negligence becomes evident, the tech center manager will start of improve the supervision of those using the devices. 7. Unsupervised usage of computers
When monitoring of activities become poor, the tech center manager will need to ensure that the monitoring of students activities. 8. Poor

Location
When the community center is not being used or break in attempts start to occur, the project manager will need to start looking into other locations. 9. Project is not completed on time
When the center is not completely setup by June 1, the project managers will have all advertisements changed to state new grand opening date and volunteers will be updated. 10. Security system is faulty

When the security system is hacked or security breaches take place, the project manager will contact the security vendors and transfer the issues over to them, so that the system can be updated or improved. 11. Equipment delivery is delayed from vendor

When equipment is shipped late or notification of late delivery occurs, the project manager will plan to have equipment installed at a later time and update those installing equipment. 12. Devices are returned damaged

When devices arrive damaged, the project manager will install the devices that are working, and install replacements once they have arrived. 13. Equipment is expensive
When we are unable to find equipment at good price, the project manager will reach out to donors for more money or plan to have fewer devices. 14. Lack of tutors
When no volunteers are qualified to give lessons, the tech center manager can use funds to hire qualified tutors. 15. Building is overcrowded
When the facility starts to become consistently over capacity, the tech center manager will need to improve the process for monitoring facility capacity. 16. Building takes damage

When the facility takes on damage, the project manager will, depending upon the severity, have another facility should be on standby or delay the grand opening until repairs can be made. Decision Tree Analysis:

Facility Selection Decision Tree Analysis
When it comes to the success of a project that provides a service to consumers, regardless of whom the consumer may be, it must be ensured that the service can be supplied to the consumers who need desire it most. Not only does the demand play a big role in the project success but also the quantity of consumers that demand the service. For the Community Tech Center, a major decision that’s to be made is the location that will contain the most consumers with the highest demand for the technical services that will be provided. Even though our service is free, the more utilization and the more popular the center becomes, the more grants, donations, and even volunteers the center will accumulate. We’ll be looking at several factors which were considered when completing the decision tree for the facility location including, whether the location is inside or outside the city, the economic class being pursued, and also the population density of the area where the facility is located.

To better understand the decisions that would need to be made, starting from the end of the decision tree would be best. The last decision to be made in the decision tree is that of whether to find a location in a location with high population density vs. a location with low population density. The initial thought may lead to think, high density areas have more people so why is this decision so hard. Further analysis shows that there could be more functioning centers in high density areas vs. the lower density areas. Lack of attention to detail here would allow us to locate the center in an area where the center would essentially need to compete with other centers. The goal is to spread the use and knowledge of technology, so placing the center where there is already a concentration of other tech related centers wouldn’t be the best idea. Also, where there is more population, there is also more crime. This is another factor to be taken into consideration, especially since the center will be housing thousands of dollars of equipment. This is the significance the population density plays in facility location.

The next level up the decision tree is the economic class that will be targeted. A few factors are significant when making this decision including technology ownership, technology use, and technical knowledge. Technology ownership relates to the percentage of the economic class that owns technology. This can be from computers or tablets and even internet connection. The lower the ownership, the more likely they are to need the facility. Technology use relates to how frequent that economic class uses things such as computers, tablets, and internet. If the use of technology is high then the possibility of the center’s utilization being high increases. By analyzing both technology ownership and technology use, a larger picture of which economic class would possibly utilize the center more. If use is high but ownership is low, then utilization of the center is increases. This simple analysis shows us a lot. Technical knowledge is another important factor, as the more people who lack computer knowledge, the more that can use the services that the center will provide. Economic class is possibly the most important decision area on the decision tree.

The decision tree starts off with the choice of whether the facility will be located within or outside the city, in more rural areas. Many factors related to these two choices effect the decisions to be made later, the first of those being transportation. Transportation can be heavily tied with economic class. Low to medium classes are less likely to have cars than the medium to high class so public transportation can be critical, especially in rural areas where bus and train services aren’t as available. This could also tie in with the location selected having a large enough parking area and also being located near a bus stop. The population density is also affected by the choice of inner-city vs. rural areas, as the further out of the city we go the lower the population density becomes. This decision will greatly affect the outcome of the Community Tech Center; we can now take a look at some metrics to determine our decision.

In order to determine which decisions would lead to the best outcome, the decision tree must have some a minimum level of success that’s needed to be achieved. Successful metrics for option A, low population density within the inner city with low to middle class citizens, is 60% utilization of the facility. Option B, high density within the inner city with low to middle class citizens, is considered successful if a minimum of 90% utilization is obtained. The chance that Option A happens over Option B is 20%, giving Option B an 80% chance. Successful metrics for option C, low population density within the inner city with middle to high class citizens, is 60% utilization of the facility. Option D, high population density within the inner city with middle to high class citizens, is considered successful if a minimum of 90% utilization is obtained. The chance that Option C happens over Option D is 60%, giving Option D a 40% chance. Successful metrics for option E, low population density within a rural with low to middle class citizens, is 50% utilization of the facility.

Option F, high population density within a rural area with low to middle class citizens, is considered successful if a minimum of 75% utilization is obtained. The chance that Option E happens over Option F is 30%, giving Option F a 70% chance. Successful metrics for option G, low population density within a rural with low to middle class citizens, is 50% utilization of the facility. Option H, high population density within a rural area with low to middle class citizens, is considered successful if a minimum of 75% utilization is obtained. The chance that Option G happens over Option H is 25%, giving Option H a 75% chance. To decide between an inner city location and a rural area location, the EMV was calculated for both options. The EMV revealed that an inner city location would yield a better chance of success with a utilization of 39% beating out the rural area whose utilization of 34%. The decision tree also reveals that Option B has the most likely chances of success, with a utilization of 72%.

Event / Fault Tree:

Discussion of Fault/Event Tree:
The main purpose of our fault tree analysis is to help identify potential causes of system failures before the failures actually occur. It can also be used to evaluate the probability of the top event using analytical or statistical methods. These calculations involve system quantitative reliability and maintainability information, such as failure probability, failure rate and repair rate. After completing an FTA, we can focus our efforts on improving system safety and reliability. When we perform an FTA, we systematically determine what happens to the system when the status of a part or another factor changes. An event tree is a graphical representation of the logic model that identifies and quantifies the possible outcomes following an initiating event. Beginning with an initiating event; the event tree details a sequence of pivotal events that lead to specific end states. In our Tech center, we want to order our software and hardware online. If our shipment is complete without any delay, there are two possibilities.

Installation will be on time and it will help us to manage our time and the opening will be on time. And if the shipment is complete that it will help to control our budget, and we can use our contingency budget to upgrade the facility by providing more devices to accommodate more students. We, also, can do the early opening if this occurs. This tree evaluate the pathways leading to failure of a system and the associated risk(s). It helps us to determine the boundaries of the particular analysis by defining the initiating event and the possible outcomes for each sequence of events. The event tree analysis defines possible scenarios, including success, and partial and/or complete system/subsystem failure. Fault trees are often used to quantify system events that are part of the event tree sequence. Fault trees graphically represent the interaction of failures and other events within a system.

Basic events at the bottom of the fault trees are linked via logic symbols (known as gates) to one or more top events. These top events represent identified scenarios or system failure modes for which predicted reliability or availability data is required. In our tech center, if we received incomplete and missing product than we have to contact the vendors or the company which will increase our overhead expense and it will lead us to delay opening. In our Community Tech Center, if we receive broken or damaged devices than we have to reorder or we need a refund. However, in both situations we will face delay opening with overhead expense and exceeded budget. This analysis method is used to quantitatively determine the probability of a system failure and/or safety hazard. Conclusion:

There is much to do when implementing a project such as this, the most important part is being prepared by knowing what needs to be completed and what could happen to prevent those things from being completed. Having a plan for completing the project, along with back up plans increases the chance of project success greatly. There are many factors that drive project planning for the community technical center, from communication efforts, to budgets, facilities, equipment, insurance, and even rules and policies. With the completion of risk identification and risk assessment, the community is steps closer to utilizing a tech center. The decision tree will increase the Community Tech Center’s chances of getting the most use and therefore accomplishing the purpose of the project, to spread IT knowledge. This analysis has broken down the decision tree into parts explaining how each affects the outcome of a target goal.

Determining the best location, social class, and even area density all point to a promising project outcome. However, Fault Tree Analysis is a risk management tool which takes undesirable events or faults and represents them in a tree like structure by a process of simple logic and graphical design. This helps us pinpoint the root causes or the lower level events which have resulted in this fault and thus enables us to take suitable actions to avoid or protect against it.. It also, focuses on the probabilities of the projects and cut set failure or the occurrence of the top event based on the probabilities of failure of the basic events. For our Community Tech Center, our event /fault tree will help us to map and plan the risk and their analysis in advance, which will be helpful for the execution of a successful project

Works Cited

File, T., & Camille, R. (2014). Computer and Internet Use in the United States: 2013. U.S. Census Bureau. Rainie, Lee; Cohn, D’vera;. (2014, September 2014). Census: Computer ownership, internet connection varies widely across U.S.

Anderson, R.T., Reliability Design Handbook (Chicago: IIT Research Institute, 1976). Evans, James R., and William M. Lindsay, the Management and Control of Quality (Mason, OH: South-Western Thomson Learning, 2001). Juran, Joseph M., and Frank M. Gryna, Quality Planning and Analysis (New York: McGraw-Hill, 1991). Michalsky, Walter J., Top Tools for Manufacturers (Portland, OR: Productivity Press, 1998).

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