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Database Concepts

In: Computers and Technology

Submitted By sheba777
Words 1795
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Company
Huffman Trucking is a privately owned transportation company that has been in business for 60 years. The company has grown into a multi million-dollar company with over 1,400 employees and hundreds of vehicles. Huffman Trucking needs a better way to track the maintenance on their fleet of tractors, trailer and the roll-on/roll-offs. The fleet has to undergo periodic maintenance.
Plan
Putting the equipment's maintenance history, the parts used and vendor information into one database will save Huffman Trucking time and money. The database can include parts inventory information, parts catalogue information, the vendors used and their associated information, and parts purchasing history. The database will include all the maintenance history on each piece of equipment, such as the maintenance of the equipment itself, tire maintenance, the type of maintenance and the maintenance work orders.
Conclusion
Building a database saves money on maintenance by reducing redundant information and improving record keeping. Both the service and accounting departments will be able to utilize this database to keep track of parts purchases and costs. Having all the information in one central database would allow the diverse facilities to use the database. This type of centralization would bring more accuracy in Huffman Trucking's record keeping and would save money, time and manpower.

Huffman Trucking Fleet Maintenance Database Solution
Introduction
Huffman Trucking is a privately held national transportation company with just under 1,400 employees and facilities across the United States. Huffman Trucking has benefited from a relationship with US Government that started in the late 1930's. During the Second World War, shipping of materiel between manufacturers and port cities increased business to the point that Huffman was eventually able to purchase and absorb several other trucking companies (http://aapd.phoenix.edu/CIST/VIP).
Huffman Trucking has recently hired a consultant company, Smith Systems Consulting, to design a database that will enable Huffman Trucking to better organize and track the truck maintenance for their fleet. Smith Systems Consulting has done an analysis of Huffman Trucking to develop a basic plan for integrating information into a database. Entities and attributes have been defined by Smith Systems, but the relationships and tables of the database still need to be defined.
Smith Systems Consulting has identified eleven entities which will be included in the database. These are: Tire Maintenance, Maintenance Descriptions, Vehicle Types, Vehicles, Maintenance Work Order, Parts Inventory Add To Stores, Parts Inventory Issues, Parts Catalogue, Vendors, Parts Purchasing History and Vehicle Maintenance. We will describe the entities, their attributes and the relationships among them in relation to the business needs of Huffman Trucking.
Business Requirements
Huffman Trucking needs a database to help maintain their fleet of trucks and trailers, control inventory and reduce costs. The database will need to include all service items, inventory, suppliers and costs associated with these entities. The maintenance hub in Cleveland, OH is the major beneficiary of the database, as they will be able to predict the upcoming truck maintenance schedules and costs with greater accuracy. In addition, supplies can be ordered only when needed, minimizing the amount of company assets which must be tied up in spare parts. The database will also be used by the company's other facilities in New Jersey, California and Missouri, for tracking inventory and fleet movements.
Smith Systems Consulting has done a complete analysis of the different areas involved in the fleet maintenance area of Huffman Trucking. The resulting database will consist of the following eleven tables: Vehicles, Vehicle Types, Vehicle Maintenance, Maintenance Work Order, Maintenance Descriptions, Tire Maintenance, Parts Catalogue, Parts Purchasing History, Parts Inventory Issues, and Vendors.
Vehicle Types
Type ID
Descriptions
Vehicles
VIN
Type ID
Class Code
Put into Service Date
Gross Weight
Mileage
Purchase Price
Accumulated Depreciation
Taken out of Service Date
Capacity
These are laid out, along with the attributes, in Table 1 – Fleet Maintenance Entities. This table shows the different areas where data tracking is needed to reduce costs and speed up maintenance times for the aging truck fleet. The eleven tables can be divided into three main categories Vehicles, Maintenance, and Parts. Below is a description of each table and how it will be used.
Vehicles
The vehicles portion of the database consists of two tables: Vehicles and Vehicle Types. The Vehicle Type table will be used to describe each vehicle. It contains the two fields TypeID and Descriptions. TypeID is an assigned number that is a unique identifier and Description is a description of the type of vehicle, whether tractor, trailer or roll-on/roll-off. The Vehicles table will be used to identify all the vehicles in the fleet. The Vehicles table will contain the fields VIN, TypeID, Class Code, Put Into Service Date, Gross Weight, Mileage, Purchase Price, Accumulated Deprecation, Purchase Price, Take out of Service Date, Capacity.
The VIN number will be used to identify each vehicle as it is unique to each one. The TypeID will be used to link to the Vehicle table to get a description of the vehicle. The Class Code will contain the assigned vehicle class. Put into Service Date and Take out of Service date will contain the dates the vehicle was added to or removed from the fleet. The Mileage filed will contain the vehicle mileage. The Purchase Price field will contain the price the vehicle was purchased for. Accumulated Depreciation will contain the current deprecation amount of the vehicle. The final field Capacity will contain the vehicle load capacity.
Maintenance
The maintenance portion of the database consists of four tables: Maintenance Work Order, Maintenance Descriptions, Tire Maintenance, and Vehicle Maintenance. The Vehicle Maintenance table will be used to track vehicle maintenance. The table will consist of the following fields: Vehicle Serial Number, Vehicle Part ID, Maintenance TypeID, Put In Service Date, Last Maintenance Date, Next Scheduled Maintenance Date, and Under Warranty Flag.
The Vehicle Serial Number will contain the unique vehicle VIN number. This will allow the Vehicles table to be linked to the Vehicle Types table. The Vehicle Part ID will contain the unique identifying information for the part being used in maintenance. This field will link to the Parts Catalogue which will describe the part. The Maintenance TypeID will be a unique ID for the type of maintenance being performed. This field will link to the Maintenance Descriptions table for a description of the type of repair being done. The Put Into Service and Last Maintenance Date fields contain the date the vehicle was put into service and when the vehicle was last maintained. The Next Scheduled Maintenance Date will contain the next ideal scheduled maintenance date. The final field, Under Warranty Flag, will show if the vehicle is under warranty or not.
The Maintenance Descriptions table will consist of the following fields: Maintenance Type ID, Level Code, Description, Average Hours Required, Days Between Recommended Maintenance, and Maximum Days Between Maintenance. This table will be used to describe the level and type of Maintenance that can be performed on a vehicle. The Maintenance TypID field will be unique id for identifying the type of maintenance being performed on a vehicle. The Level Code field will contain a unique value given to each maintenance type. The description filed will describe the maintenance being performed. The average Hours Required field will contain the amount of time require to perform a particular maintenance type. The Days Between Recommended Maintenance will contain the recommended number of days which a vehicle should be maintained. The final field, Minimum Days Between Maintenance, will contain the maximum time period that can elapse before the vehicle must be maintained.
The Maintenance Work Order table will contain the following fields: Work Order ID, VIN, Part DI maintenance Type ID, Assigned To, Date Started, Date Completed, and Hours. This table will be used to track the Maintenance that has been performed on the various vehicles. The Work Order ID will be a unique ID to track individual truck maintenance. The Part ID field will contain the unique ID of the part used in the vehicle maintenance. The Maintenance Type ID will contain the unique maintenance ID and will link with the Maintenance Descriptions table. The Date Started, Dated Completed, and Hours fields will be used to track the time it took to perform the maintenance.
The Tire Maintenance table will contain the following fields: Barcode, Type, Vehicle Type, Manufacture ID, Put In Service Date, Rotation Schedule, Last Rotation. This table will be used to track tire maintenance and tire rotation.
Relationships among Entities and Attributes
Start relationships here
Conclusion
The Huffman Trucking Company is has been in business for 60 years. When the company started it was not as huge of a company as it is today. The company has become a multi million dollar company. The database will be able to save money on maintenance by reducing redundant information and improving record keeping. This will make the employees more efficient and have accurate data to work with. The service and accounting departments will be able to utilize this database to keep track of parts, purchases, and costs because of the Parts Catalogue and Parts Purchasing History tables. These tables will have all the data needed for the departments to work with accurate and current data. The database will also allow all the information to be in one central place that would allow the diverse facilities to use the database. This type of centralization would bring more accuracy in Huffman Trucking's record keeping and would save money, time and manpower. Since the Huffman Trucking Company has grown, there is no way to keep up with all the trucks, maintenance, parts, vendors, and costs of everything involved by not having it all in database. The most important use for the database is the retrieval of the information. You could have all the data, but if you can not retrieve it efficiently and effectively then it does not do you any good to have it. Also, the database is put in place to store all of the data and also to organize all the data. The result of the database for the Huffman Trucking Company will be to boost the company into the next phase for growth. The Huffman Company will be able to handle all the different elements of the company by accessing the database to get the information that is needed. The database is a management system for the Huffman Trucking Company to manage their company.

References

Huffman Trucking. Retrieved June 19, 2005, from http://aapd.phoenix.edu/CIST/VIP
Planigent Website. Retrieved June 21, 2005 from http://www.planigent.com/html/ExecSum.doc
How to Cite this Page
MLA Citation:
"Huffman Trucking Fleet Maintenance Database Solution." 123HelpMe.com. 22 May 2012 <http://www.123HelpMe.com/view.asp?id=158886>.

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