Identify and analyze decision points and key players in procurement process in the EPC companies
Subject Areas : ICT
Seyedeh Motahareh Hosseini
1
,
Mohammad aghdasim
2
1 - .
2 - .
Keywords: Decision analysis, Business Process Management (BPM), Social Network Analysis (SNA), Procurement process, EPC Companies.,
Abstract :
Correct and timely decisions have a significant impact on the performance and achievement of the company's goals. In other words, business process management depends on making and implementing rational decisions. By increasing the integration of information systems in organizations and using tools such as process mining, a platform is provided for the use of data analysis approaches and better analysis of decisions, and managers can act in agile decision making. Selecting a supplier in the process of purchasing in complex projects is one of the basic and key decisions that affect the quality, cost and performance of the project. In this article, with a process perspective, the decision points in the purchasing process in a complex construction project in an EPC company have been discovered and the key players in the implementation of the process have been identified and analyzed through social network analysis. The results of this research have led to the investigation of decision points in the process, the performance of decision points and the identification of key people in decision making, which can be used to improve the company's future performance.
[1]Es-Soufi, W., E. Yahia, and L. Roucoules. A process mining based approach to support decision making. in IFIP International Conference on Product Lifecycle Management. 2017. Springer.
[2] Schmidt, G. and W.E. Wilhelm, Strategic, tactical and operational decisions in multi-national logistics networks: a review and discussion of modelling issues. International Journal of Production Research, 2000. 38(7): p. 1501-1523.
[3] van der Aalst, W., et al. Process Mining Manifesto. 2012. Berlin, Heidelberg: Springer Berlin Heidelberg.
[4] Alvarez, C., et al., Discovering role interaction models in the Emergency Room using Process Mining. Journal of Biomedical Informatics, 2017. 78.
[5] van der Aalst, W.M., Process Mining: A 360 Degree Overview, in Process Mining Handbook. 2022, Springer. p. 3-34.
[6] Hosseini, S.M., et al., Implementing Process Mining Techniques to Analyze Performance in EPC Companies. itrc, 2022. 14 (2): p. 66-54.
[7] Mamudu, A., et al. A Process Mining Success Factors Model. in The 20th Business Process Management Conference (International Conference on Business Process Management). 2022. Springer.
[8] van der Aalst, W.M. and J. Carmona, Process Mining Handbook. 2022, Springer Nature.
[9] Zhang, L., et al., Artificial intelligence in construction engineering and management. 2021: Springer.
[10] Mannhardt, F., et al. Decision mining revisited-discovering overlapping rules. in International Conference on Advanced Information Systems Engineering. 2016. Springer.
[11] Sarno, R., et al. Decision mining for multi choice workflow patterns. in 2013 International conference on computer, control, informatics and its applications (IC3INA). 2013. IEEE.
[12] Rozinat, A. and W.M. van der Aalst. Decision mining in ProM. in International Conference on Business Process Management. 2006. Springer.
[13] Park, H., et al., Social Network Analysis of Collaborative Ventures for Overseas Construction Projects. Journal of Construction Engineering and Management, 2011. 137: p. 344-355.
[14] Chinowsky, P. and J. Taylor, Networks in engineering: An emerging approach to project organization studies. Engineering Project Organization Journal, 2012. 2: p. 15-26.
[15] Raitubu, N., et al., Detection of Bottleneck and Social Network in Business Process of Agile Development. 2019. 208-213.
[16] Baccarini, D., The concept of project complexity—a review. International journal of project management, 1996. 14(4): p. 201-204.
[17] Dietrich, P., et al., The dynamics of collaboration in multipartner projects. Project management journal, 2010. 41(4): p. 59-78.
[18] Butt, A., M. Naaranoja, and J. Savolainen, Project change stakeholder communication. International Journal of Project Management, 2016. 34(8): p. 1579-1595.
[19] Lee, C.Y., et al., Critical Review of Social Network Analysis Applications in Complex Project Management. Journal of Management in Engineering, 2018. 34.
[20] Jafari, P., et al., Social network analysis of change management processes for communication assessment. Automation in Construction, 2020. 118: p. 103292.
[21] Li, Y., et al., Social network analysis and organizational control in complex projects: construction of EXPO 2010 in China. Engineering Project Organization Journal, 2011. 1(4): p. 223-237.
[22] Liao, P.-C., et al., The relationship between communication and construction safety climate in China. KSCE Journal of Civil Engineering, 2014. 18(4): p. 887-897.
[23] Zhang, J. and Y. Luo. Degree centrality, betweenness centrality, and closeness centrality in social network. in 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017). 2017. Atlantis Press.
[24] Hossain, L., Communications and coordination in construction projects. Construction management and economics, 2009. 27(1): p. 25-39.
[25] Chowdhury, A.N., P.H. Chen, and R.L. Tiong, Analysing the structure of public–private partnership projects using network theory. Construction management and economics, 2011. 29(3): p. 247-260.
[26] Iacobucci, D., et al., In Social Network Analysis, Which Centrality Index Should I Use?: Theoretical Differences and Empirical Similarities among Top Centralities. SSRN Electronic Journal, 2017: p. 72-99.
