Process fragmentation and port performance: Merging SNA and text mining |
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| Institution: | 1. Department of Energy, Systems, Territory and Construction Engineering, University of Pisa, Largo Lucio Lazzarino, 1, 56122 Pisa, Italy;2. Department of Enterprise Engineering, University of Rome Tor Vergata, Via Orazio Raimondo, 00173, Rome, Italy;1. Programa de Pós-Graduação em Informática, Universidade Federal do Rio de Janeiro, Av. Athos da Silveira Ramos, 274 – Bl. E – CCMN/NCE, 21.941-590, Cidade Universitária, Rio de Janeiro, RJ, Brazil;2. Departamento de Ciência da Computação, Universidade Federal do Rio de Janeiro, Av. Athos da Silveira Ramos, 274 – Bl. E – Room 1038 (NCE), 21.941-916, Cidade Universitária, Rio de Janeiro, RJ, Brazil;1. Department of Industrial Systems and Engineering, Indian Institute of Technology-Kharagpur, Kharagpur, 721302, India;2. Reliability Engineering Centre, Indian Institute of Technology-Kharagpur, Kharagpur 721302, India;1. IS&A Area, Indian Institute of Management Tiruchirappalli, India;2. CEO & Commissioner, e-Governance, Government of Tamil Nadu, India;1. School of Management, Fudan University, Shanghai, 200433, China;2. School of Economics and Management, Tsinghua University, Beijing, 100084, China;1. Department of Convergence IT Engineering, Pohang University of Science and Technology, Republic of Korea;2. Department of Electrical Engineering, Pohang University of Science and Technology, Republic of Korea;3. Department of Industrial and Management Engineering, Pohang University of Science and Technology, Republic of Korea |
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| Abstract: | This paper investigates the role of process coordination dynamics and information exchanges in maritime logistics. To this aim, a case study in a mid-sized port supported by a Port Community System (PCS) was developed. Exploiting data retrieved from the PCS, the methodology combined three data-driven techniques – Process Mining (PM), Social Network Analysis (SNA) and Text Mining – to draw handover social networks among the port logistics players, and to assess the export process efficiency and significant process deviations. Then, two sets of regression models were developed to explore the effects of network dynamics on process performances. Preliminary results point out that the process fragmentation and the frequent communication switching among the port actors could negatively affect the export process efficiency and effectiveness. Finally, the study proposes practical solutions for reducing process fragmentation and improving information exchange among port actors. |
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| Keywords: | Maritime logistics Port performance Organizational mining Process mining Social network analysis (SNA) Text mining |
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