Process Science and Data Analytics as a Support for Industry 4.0

Description

The advent of Industry 4.0 is expected to disrupt industrial models in emerging economies. The newly built cyber-physical system in Industry 4.0 leads to new challenges to the management of the industries. stablished techniques from Business Process Management (BPM) hold great potential to conquer the challenges in Industry 4.0. The goal of the Special Session on Process Science and Data Analytics as a Support for Industry 4.0 is to allow experts in the area of process and data science to share the challenges, strategies, techniques, applications, and potential case studies. Topics are included but not limited to:

Business Process Intelligence

  1. Process mining techniques
  2.  Process Modeling
  3. Model-driven engineering

Conceptual Modeling issues of BPM systems

  1. Formal methods and algorithms 
  2. Concepts, languages, and architecture for BPM systems 
  3. Proof-of-concept implementations

Competitive Advantages of BPM

  1. Process innovation   
  2. Strategic Alignment   
  3. Process Governance 
  4. Information Technology   
  5. Human aspects and culture 

Recent advance approaches of BPM

  1. Artificial Intelligence
  2. Internet-of-Things (IoT)
  3. Cloud computing
  4. Big data
  5. Blockchain

Organizers

  1. Hyerim Bae, Pusan National University
  2. Mahendrawathi Erawan, Institut Teknologi Sepuluh Nopember
  3. Bernardo Nugroho Yahya, Hankuk University of ForeignStudies