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DSAA204 Data Structure and Algorithms - Kent Institute
Assessment - The assessment is about a design of a system using OOP.
Learning Outcome 1: Evaluate the efficiency and effectiveness of data structures and algorithms;
Learning Outcome 2: Demonstrate reasoning about efficiency of algorithms;
Learning Outcome 3: Assess and apply suitable recursive data structures and algorithms to IT systems and applications.
Question: The assessment is about a design of a system using OOP. This assessment is an individual report about the design of an OOP system using Data Structures and Algorithms.
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The gradual evolvement of technology and development in science, data structures are the most requires form of structure used to manage, organize and store various forms for data and keep them safe from forgery or keeping them safe from malware. The correct representation of data through a required structureon the firm if algorithm also helps in proper extracting. In the process of data collection and storing, there are ways in which data can be related and helps the organization synchronize their functionalities. Nevertheless, in case of algorithms the data structure will be used to represent the data for better utilization in company development and growth.
In the following report there will be proposal of a new system and designing the inventory management of a company which deals with two type of products, namely household products and food items. The household items of the company are recorded recently checked roughly, which came out to be with the availability of 300 household items and 200 food items. They are all sorted in data type format. In this report however, there will be description of the operations that the inventoryof their company must need to manage their products in a much fecund manner. The company later will merge on with a larger company having greater inventory and the report will give operational management system and the data structure as wellalgorithmsneeded to manage the inventory will also be illustrated in a detailed manner.
In the process of gathering meaningful data a particular company must think about the way of representing their company. The data collection helps in giving an insight to the company and medium to extract data as per situation. Data storage with correct design helps in managing inventories, uncanny investments and improper transactions. Keeping in track the following criteria, the company can develop in making their business growth and earnmorerevenues as well as mange more inventories, of there is an installation of systematic process. The proposed company has ainventory of two types one is household and one is food items. Therefore, a correct strategy will be applied in making their design successful and also it will mention the management of bigger management systems with larger inventories. The inclusion of a correct data structure method of deign along with presented algorithms will help in reduction of time in procurement, synchronizing the inventory, easy information extraction, making the logistics and services smooth and systematic making the overall organization successful in its merging and gaining competitive advantage.
Case study and the Design
According to the case study given, designing for a company inventory management are classified into five steps, they are creating a new model for the installation of new system, initializing a software architecture, database design and user interface design (Çelebi, 2015). In the following section, there will be discussion about the installation of hardware, networking and creating a software platform with a three-tier design. They are described below:
In the new system there must be usage of microcomputers, and the focus should be on the non-functional departments, with server running at 400 MHZ, should have enough RAM(Random Access memory), for the successful extraction of dataand information at the time of need. There should be availability of enough terminals of higher authorities of the company to access. Therefore, a simple database solution and the maintenance of the system can handle the nonfunctional part and manage their data and information(Schwartz and Li, 2016).
The networking should be a simple peer to peer, with an installation of TCP/IP windows network, this will help in restoring the data and effective file sharing. Installation of Local Area network(LAN), will help in communicating and getting more information n and data for the management of inventories.
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By installing the Windows 200 Server and 2000 professional which will help in developing the client machine server. The introduction of MS office professional will help in managing the inventories and help in constructing the inventory database. Microsoft Software is widely used as it is a cheap arrangement, with an umbrella of documentation and technical support which is much cheaper and this will also help the company in managing their small inventory before merging with a big inventory company.
The product variation and the information can be done by representing by a E-R Diagram, which helps in building the database design in a relational database. This will help the comp any in keeping data of their product along with the relation and data connected to each product.
Figure 1: The E-R Diagram or model in managing inventory
(Source: Maharjan, 2018)
Variables, ranges and keys
In the following company, NOP (Net Operating Profit) will be used which helps in managing the low stock inventories. This will help in analyzing the total size of company, liquidity ratio, debt ratio along with inventory conversion method period and Debtors turnover ratio. NOP is a dependent variable and its helps in calculating the efficiency in the operations of the firm and helps in drawing a relation between the profit and inventory management.
On the other hand, the Inventory Conversion Period is an independent variable which influences the dependent variables. NOP ranges from 0.81 to 29.98 with a mean of 8.41 and SDV 11.09 which portrays a high value of the variable.
Figure 2: the range of NOP
(Source: Jamiland Al Shubiri, 2015)
The concept of NOP can be applied in the regression model where the variable will be NOP = f(ICP, FS,LR,ITR,FDR).NOP being an independent variable effects the dependent variables they are ICP, FS,LR,ITR,FDR. The statistics of the dependent and independent variables are shown below:
Figure 3: The description of the variables
(Source: Mathuva, 2015)
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Operations and the Justification
The three tier model can be applied in both medium sized and large organizations, here it has three layers namely, the core layer, distribution layer and the access layer. This is efficient in this case as the company is first dealing with limited i8nventorires and are layer merging with a company dealing with larger inventories and combination of both the companies inventories will make it difficult for the company to manage it database, for which the ideal model will be the three tier network design model.
Figure 4: the three tier network design model
(Source: Santos et al.,2017)
Core layer: it helps in transportation of files and routing with fecund performances
Distribution layer: It helps in connectivity according to some desired policies and creates a relation between access and core layers.
Access layer: This helps the workgroup to access the network for accessing of data.
Algorithms and the Justification
The algorithm that will be used with the following three tier database structure that is Matrix Method of Harmonization to manage stock and procurement. This is an already implemented matrix method which has helped in managing huge stocks, as the company is merging with company and have a collective inventory of 25000 household items and 1500 food items. This will be the most applicable algorithm for the management of database and inventory.
The matrix method of Harmonization helps in making two principles, they are ABC and XYZ. The ABC department implement the managing of resources by application of certain rules and regulations. The rules are applied by the company certain criteria that is managing sales and purchasing goods, profit shares and the total turnover of the available stock.
Figure 5: Grouping of good by income share
(Source: Sohrabiand Esmaeilian, 2016)
The algorithms supported for this relation of ABC and XYZ classification is given below:
In this report, a company has been developed by introducing new data structure management system along with its justification, as its effective in utilizing and implementing in making the company grow respectively and earn more profit and revenues. The sole motive of the report is the management of data for effective inventory management. The use of three tier model as well as specifications in developing good networking system has also been given for better understanding and later Matrix Methods of harmonization has been applied to make more effective inventory management after the company has merged with another company.
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