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http://dspace.lib.uom.gr/handle/2159/24600
Author: | Παγανιάς, Δημήτριος |
Title: | Investigation of business process optimization using design of experiments |
Date Issued: | 2019 |
Department: | Πρόγραμμα Μεταπτυχιακών Σπουδών Ειδίκευσης στην Εφαρμοσμένη Πληροφορική |
Supervisor: | Βεργίδης, Κώστας |
Abstract: | Business process optimization can be considered as the problem of constructing business process design with optimum attributes. Vergidis (2008) proposed an approach for the Evolutionary Multi-objective business process optimization, the business process optimization framework (bpoF). The bpoF utilizes as a main component the proposed business process representation and EMOAs in order to generate alternative optimized designs. The business process representation is described by mathematical parameters and the composition of a business process design is based on an algorithm that is named Process Composition Algorithm (PCA). This thesis provides a complete and extended investigation of the business process optimization framework (bpoF). Employing a series of scalable tests the main elements of bpoF, are examined in-depth. In addition, this thesis applies the statistical approach of Design of Experiments (DoE) in the business process optimization problem. This approach provides the necessary tools needed to analyze and interpret the results. |
Keywords: | Business process Business process optimization Design of Experiments (DoE) |
Information: | Διπλωματική εργασία--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2019. |
Rights: | Αναφορά Δημιουργού 4.0 Διεθνές |
Appears in Collections: | Π.Μ.Σ. στην Εφαρμοσμένη Πληροφορική (M) |
Files in This Item:
File | Description | Size | Format | |
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PaganiasDimitrisMsc2019.pdf | 3.59 MB | Adobe PDF | View/Open |
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