Waste & Data Management in Auto Body Shop

This assignment focuses on the development of a project plan for an auto body shop called 'Project Name Collision Center'. The plan emphasizes two key areas: waste management and data sustainability. The waste management section details strategies for collecting, treating, and disposing of both sanitary and non-sanitary wastewater generated by the shop. It outlines the use of a septic tank and tile field system to treat sewage and proper disposal methods for other types of wastewater. The data sustainability approach focuses on utilizing information technology tools like Microsoft Excel and SharePoint to manage and store project data effectively. This plan aims to promote environmental responsibility and efficient data management within the auto body shop operation.

Running Head-PROJECT NAME COLLISION CENTER (AUTO BODY SHOP) 1
Project name Collision Center (Auto body shop)
Name
Institute of Affiliation
Date

PROJECT NAME COLLISION CENTER (AUTO BODY SHOP)
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Waste to be collected and managed
In the project, wastes need to be collected and managed well to enhance the efficiency of the
project. In the regard, wastewater should be given priority. The project will be associated with a
responsibility of managing wastes mainly sewage. The water will be generated from this project
and therefore need to be managed and recycled even for usage. It is essential to carry out the
exercise because if water is not treated, it will increase the costs of production of the firm
through costs needed to do cleanups of the machine used which otherwise can be avoided
through a collection of these water and treating them ready to be used again. The process is
fundamental since it will help the operator to realize the type of wastewater needed to be
recycled and proper disposal approach utilized (Enade, Gute, & Cohem., 2002).
The project will deal with both sanitary and non-sanitary wastewater. Sanitary wastewater will
be collected from break rooms, restrooms, and the sinks. While the non-sanitary ones will be
gathered from the activities of the shop, for instance, washing of the cars, the floor of the store
and laundering of towels and rags. In the project, the water will be collected immediately it is
discharged to the ground from the facility. The approach to be employed will be directing such
waters to an onsite sewage disposal system. The wastewater treatment system to be used in this
case will be composed of the septic tank, and tile field made to collect solid wastes; an approach
for sanitary wastewater (Woolson & Clark., 2002).

PROJECT NAME COLLISION CENTER (AUTO BODY SHOP)
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The project for it to be more successful, approaches meant to collect non sanitized waters need to
be employed too. The utilized method will have a capacity to receive 2000 liters of water from
various sources of the system. The discharge should be covered well such that the public does
not get access to it. Some of the waste waters from the facility will be collected to the holding
tank and then transported recycling or for disposal facilities after the process has been completed
(Ott & Longnecker., 2001). The consumption of clean water is helpful to human health and
prevents people from risky illnesses that may result from the exposure to sewage water. The
proper collection and storage of water facilitates an easy way to water treatment in the auto shop
and this must always get uphold.
Data sustainability approach
The Sustainability data management tools to be employed in the project entails the utilization of
information technology department. The IT experts will be responsible for ensuring that right
infrastructure is designed to ease access to correct data whenever needed. In this regard, the
system aims to utilize available tools in sustaining data for the project. In using this approach,
information will be stored in computer packages such as Microsoft Excel, Microsoft Access
Microsoft Outlook, and Microsoft SharePoint in ensuring that this is realized. In addition, a web-
based safety data management sustainable plan is necessary with a capacity to elevate the
visibility and the significance of quality data. The program will also be able to collect and report
safety events from various sources that relate to the company. The approach also can formalize
decision making by using a program that governs data.

PROJECT NAME COLLISION CENTER (AUTO BODY SHOP)
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The approach is the most efficient and sustainable since it has the capacity to document the
quality issues of the data in the organization. In addition, the methods also regulate standards and
data corrections (Carol, 2004).Despite the fact that technology is a challenge, efficient data
approach management can only be realized with the help of it. The system has a capacity to
extract paramount information about the company from the web, and therefore the information
needed by the staff will be able to retrieve information as they need it at any time of their
convenience.
The project will be successful if the systems put in place are able to work effectively as they are
supposed to. In this regard, they should be proper management of data carrying guidelines for the
operation of the organization. A proper system of waste management is as well crucial
particularly preventing environmental pollution. Research reveals that sustainable data
management will result in improved outcomes hence paramount. The project aims at the
utilization of the efficient method of data management together with waste management
approaches that target at improving friendliness of the project to the environment. There is need
to put up systems that will aim at realizing this for the efficient running of the project. The
programs that improve environmental and human health protection programs need to be given
priority.

PROJECT NAME COLLISION CENTER (AUTO BODY SHOP)
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References
Campbel, & Swinscow. (2002). Statistical square One. London: BMJ books.
Carol, N. (2004). Implementing Data Governance in Complex Healthcare Organizations
challenging and strategies. Michigan: University of Michigan.
Enade, Gute, & Cohem. (2002). Chemical characterization of sanding dust and methyl chloride
usage in automotive refinishing. New York: Hyg Assoc.
Ott, & Longnecker. (2001). Statistical methods and data analysis. London: Duxbury edition.
Woolson, & Clark. (2002). Statistical methods for the analysis of Biomedical Data. New York:
Wiley.