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Research profile

Jonnro Erasmus obtained a Master of Engineering from the University of Johannesburg in 2012. His dissertation explored the interdependencies between project management, systems engineering and quality management in large capital projects. The research was inspired by his six years of experience in large projects in the power generation and manufacturing industries. The resulting process framework was presented at the 24th conference of the International Association for the Management of Technology.

Jonnro is currently pursuing a PhD at the information systems group of the School of Industrial Engineering. His research is focussed on the allocation and management of smart robotics in dynamic manufacturing processes. His research interests include business process management, complex adaptive systems and agent-based management.

Education/Academic qualification

University of the Witwatersrand

Jul 2010Dec 2012

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

System quality Business & Economics
Engineering management Business & Economics
Management of technology Business & Economics
Quality management Business & Economics
Capital projects Business & Economics
Agent-based Business & Economics
Complex adaptive systems Business & Economics
Power generation Business & Economics

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Projects 2015 2020

Research Output 2018 2018

  • 4 Conference contribution
  • 1 Chapter
  • 1 Article

A method to enable ability-based human resource allocation in business process management systems

Erasmus, J., Vanderfeesten, I., Traganos, K., Jie-A-Looi, X., Kleingeld, A. & Grefen, P., 1 Jan 2018, The Practice of Enterprise Modeling - 11th IFIP WG 8.1. Working Conference, PoEM 2018, Proceedings. Karagiannis, D., Buchmann, R. A. & Kirikova, M. (eds.). Cham: Springer, p. 37-52 16 p. (Lecture Notes in Business Information Processing; vol. 335)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Business Process Management
Human Resources
Taxonomies
Resource Allocation
Resource allocation

A visualization of human physical risks in manufacturing processes using BPMN

Polderdijk, M., Vanderfeesten, I., Erasmus, J., Traganos, K., Bosch, T., van Rhijn, G. & Fahland, D., 1 Jan 2018, Business Process Management Workshops - BPM 2017 International Workshops, Revised Papers. Springer, p. 732-743 12 p. (Lecture Notes in Business Information Processing; vol. 308)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Risk analysis
Visualization
Manufacturing
Occupational risks
Schematic diagrams

Developing process execution support for high tech manufacturing processes

Vanderfeesten, I. T. P., Erasmus, J., Traganos, K., Bouklis, P., Garbi, A., Boultadakis, G., Dijkman, R. M. & Grefen, P. W. P. J., 2018, (Accepted/In press) Empirical Studies on the Development of Executable Business Processes. Lübke, D. & Pautasso, C. (eds.). Springer

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Smart hybrid manufacturing control using cloud computing and the internet-of-things

Erasmus, J., Grefen, P. W. P. J., Vanderfeesten, I. T. P. & Traganos, K., Dec 2018, In : Machines. 6, 4, 25 p., 62

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Internet of Things
Cloud computing
Cloud Computing
Information Systems
Manufacturing

The case for unified process management in smart manufacturing

Erasmus, J., Vanderfeesten, I., Traganos, K. & Grefen, P., 14 Nov 2018, 2018 IEEE 22nd International Enterprise Distributed Object Computing Conference, EDOC 2018. Piscataway: Institute of Electrical and Electronics Engineers (IEEE), p. 218-227 10 p. 8536166

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Industry
Computer integrated manufacturing
Manufacturing
Process management
Robots

Courses

Business process management

1/09/05 → …

Course

Student theses

A method to enable ability-based resource allocation for runtime process management in manufacturing

Author: Jie-A-Looi, X., 31 Oct 2017

Supervisor: Vanderfeesten, I. (Supervisor 1), Erasmus, J. (Supervisor 2), Kleingeld, P. (Supervisor 2) & Traganos, K. (Supervisor 2)

Student thesis: Master

File

Enabling dynamic resource allocation for industrial robots by introducing a robot attribute taxonomy

Author: Croonen, D., 28 Feb 2019

Supervisor: Vanderfeesten, I. (Supervisor 1), Erasmus, J. (Supervisor 2) & Fahland, D. (Supervisor 2)

Student thesis: Master

File

Extending BPMN for analysis of human physical risk factors in manufacturing processes

Author: Polderdijk, M., 24 Apr 2017

Supervisor: Vanderfeesten, I. (Supervisor 1), Erasmus, J. (Supervisor 2), Fahland, D. (Supervisor 2), Bosch, T. (External person) (External coach) & Rhijn, van, J. (. (External person) (External coach)

Student thesis: Master

File

Extending BPMN for modeling manufacturing processes

Author: Aspridou, M., 30 Oct 2017

Supervisor: Vanderfeesten, I. (Supervisor 1), Traganos, K. (Supervisor 2), Buijs, J. (Supervisor 2) & Erasmus, J. (Supervisor 2)

Student thesis: Master

File

Visualizing performance indicators for production planning in BPMN 2.0 in the manufacturing domain

Author: Heidema, Y., 31 Aug 2018

Supervisor: Vanderfeesten, I. (Supervisor 1), Erasmus, J. (Supervisor 2) & Dijkman, R. (Supervisor 2)

Student thesis: Master

File