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A Hybrid Approach for Evaluation and Improvement of Business Process under Uncertainty

Jalali Chimeh, Mahdi | 2019

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 51796 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Haji, Babak
  7. Abstract:
  8. Business process management (BPM) is an approach which helps managers to gain success in their organization by becoming capable of identifying and developing their processes. Process improvement is a difficult and important step in BPM since modern organizations have a huge number of processes and activities with complex and complicated relationships and interrelationships. In this work our goal is to rank and prioritize processes based on operational limitations of the organization such as budget, human resources, consumer resources and also relationships among processes have been considered and finally develop a portfolio of processes which are vital and essential for improvement. Considering available uncertainties in our input data is another point of this study. To achieve this goal, analytical hierarchy process and fuzzy topsis has been used to rank and prioritize and a robust linear model has also been used to develop a portfolio of processes. Our criteria to evaluate and develop processes includes: whether the process is strategic, financing, risk, flexibility, social and environmental. These are the main concerns for managers in modern organizations. The performed approach in this study has been implemented through a case study in the field of agriculture and farming in iran, and by reviewing 102 organization processes, developed a portfolio of processes for improvement. According to the results, by implementing this approach which is the process selection, we can obtain a more effective improvement which leads to obtaining most benefit to the organization
  9. Keywords:
  10. Business Process Management System ; Portfolio Management ; Business Process Improvement ; Business Process Prioritization ; Robust Optimization ; Fuzzy Analytic Hierarchy Process

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