UMUC Case Study Stage 01 Decision Tree and Decision Table essay

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UMUC CASE STUDY: STAGE 01: DECISION TREE AND DECISION TABLE

UMUCCase Study: Stage 01: Decision Tree and Decision Table

DecisionTable

Thedecision table above represents discount determination system used indetermining the points at which discounts are given to the customerson the purchases that they make. UMUC gives discounts to allcustomers with non-volume purchases, the decision table has takeninto consideration this category of customers and hence they aregiven discounts on purchase of specific single products. Thepercentage of discount for non-volume has not been specified as givenon the case study.

Thevolume discounts are being considered due to growth in volumepurchases, the discounts will be given depending on the volumesinvolved as shown in the decision table. Another important conditionthat has to be considered is the 2% additional value given after 30days of purchase, this value has to be added to the final purchasingvalue before determining the final discounts for the purchases. Theactions will be taken at various payment section as shown in thetable which include the quantity discounts, electronic invoicing, andthe electronic payment sections

DecisionTree

1

Non Volume Discounts

2

Volume-discounts

3

5

ALL ARE DISCOUNTED

&lt4

No Discounted

10&ltx&gt24

Discounted at 5%

25&gt

Discounted at 10%

4

5&ltx&gt9

Discounted at 2%

Thedecision tree above shows the points at which the company will haveto consider when giving the customers discounts on products that theyhave purchased. As clearly shown in the figure above, the tree has 5points and the first one represents the first condition, which is thefact that all non-volume purchases are given discounts. The othersection represents the points 2, 3, 4 and 5 are volume discounts thatare given discounts depending on the volume purchased by thecustomer.

References

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Valacich,J. S., George, J. F., &amp Hoffer, J. A. (2015).&nbspEssentialsof systems analysis and design. Pearson Education

Rosenblatt,H. J. (2013).&nbspSystemsanalysis and design.Cengage Learning.

UdoW. Pooch. (2007) &quotTranslationof Decision Tables,&quotACM Computing Surveys, Volume 6, Issue 2 Pages: 125–151

Wets,Geert Witlox, Frank Timmermans, Harry Vanthienen, Jan (1996),&quotLocationalchoice modelling using fuzzy decision tables&quot,Biennial Conference of the North American Fuzzy InformationProcessing Society, Berkeley,