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Multi Criteria Analysis of Business Processes

Student: Alena Ivanova

Supervisor: Tatiana Yakushkina

Faculty: Graduate School of Business

Educational Programme: Business Informatics (Bachelor)

Final Grade: 10

Year of Graduation: 2016

The present study deals with the problem of selecting the proper method of multiple-criteria decision analysis to be used in business processes evaluation. The goal of this research is the development of multiple-criteria decision analysis classification based on their application scope in business processes analysis. To reach this goal, the current MCDA methods and software solutions were compared and evaluated and a set of recommendations concerning their application was developed based on the findings. In addition, one of the major challenges of this research is the application of the developed classification as a selection basis for a method to be used in an actual multiple-criteria decision problem in “VARS Expo" LLC, as well as solving the problem with the chosen method. The primary results of this research are the development of a MCDA method classification based on the standard 13-process model, the assessment of the most popular methods used in practical work relative to the characteristics of the task at hand, the decision-maker and the results, as well as a comparison of the currently available software solutions in the context of decision making and result analysis. The present work also includes a solution of an actual multiple-criteria decision problem dealing with the selection of a sales strategy using a Pareto front visualization method provided by Clafer Multi-Objective Optimizer software. The practical implication of the research lies in the ability to refer to the developed classification during a business processes analysis for the purpose of selecting the most appropriate method to deal with specific multiple-criteria decision analysis problems.

Full text (added May 20, 2016)

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