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Applying decision tree in food industry – a case study

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

Managers Naked Necessities LTD has to make a decision as to whether the company should open a café selling hot food, or just cold snacks. The company also has the option to carry on trading as it is and not open a café. When faced with a decision such as this, the management should first identify whether the decision to be made is a qualitative or quantitate decision. This will influence the tools and models that should be used to make the decision. This is a financial decision and concerns numerical data, therefore a quantitative approach is advised. A decision tree can be a clear way to represent complex data in a simple graphical form. The calculations involved can be used to create scenarios and outcomes of the decision. If clear objectives of the decision have been established by the management, the decision making process can me made relatively simple by using a decision tree. The management should be advised that one of the main criticisms of the decision tree model is that it is prone to bias during the probability phase of the model. Managers should be aware of this issue. Literature suggests that as much historical, numerical data should be ascertained as possible to put into the calculations. The literature suggests that by using more numerical data, it will increase the validity of the results of the model.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Article number

Chapter 47

Pages from-to (Number of pages)

Pages 383-388

Publication milestones

  • Published - 15/12/2018

Publication status

Published - 15/12/2018

Publisher

Springer, Japan, India, Australia, Germany, United States, United Arab Emirates, Austria, Switzerland, Italy, China, United Kingdom, Netherlands, Brazil, France, Singapore

Publication series

  • Publication series name: Advanced Manufacturing and Automation VIII
    ISSN (Print): 1876-1100
    ISSN (Electronic): 1876-1119
    Volume: 484
9789811323744

ISBN (Electronic)

9789811323751

External Publication IDs

  • Scopus: 85059053059

Host publication title

Advanced Manufacturing and Automation VIII (IWAMA 2018)

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