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Personal profile

Research profile

ir. S.P.F. Peters graduated in 2016 at the Eindhoven University of Technology on the topic of throughput time and time window estimation for business processes using historical data. Currently, he pursues a Ph.D. at the School of Industrial Engineering and Innovation Sciences in the Information Systems group. His research interests lie in predictive and prescriptive resource allocation, specifically the data-driven aspect of these techniques.

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Industry Engineering & Materials Science
Industrial engineering Engineering & Materials Science
Resource allocation Engineering & Materials Science
Engines Engineering & Materials Science
Information technology Engineering & Materials Science
Logistics Engineering & Materials Science
Information systems Engineering & Materials Science
Innovation Engineering & Materials Science

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Research Output 2016 2019

  • 9 Citations
  • 5 Conference contribution
  • 1 Report
  • 1 Article
  • 1 Review article

BPMS-RA: a novel Reference Architecture for Business Process Management Systems

Pourmirza, S., Peters, S., Dijkman, R. & Grefen, P., 2019, In : ACM Transactions on Internet Technology. 19, 1, 23 p., 13

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Industry
Service oriented architecture (SOA)
Systems engineering
Data mining
Big data

Advanced queueing models for quantitative business process analysis

Dijkman, R. M., Adan, I. J. B. F. & Peters, S. P. F., 18 Oct 2018, Proceedings - 44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018. Bures, T. & Angelis, L. (eds.). Piscataway: Institute of Electrical and Electronics Engineers (IEEE), p. 260-267 8 p. 8498217

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

Queueing networks
Electric network analysis
Chemical analysis
Industry
Process design

Advanced simulation of resource constructs in business process models

Peters, S. P. F., Dijkman, R. M. & Grefen, P. W. P. J., 12 Aug 2018, Business Process Management Forum - BPM Forum 2018, Proceedings. Montali, M., Weske, M., vom Brocke, J. & Weber, I. (eds.). Cham: Springer, p. 159-175 17 p. (Lecture Notes in Business Information Processing; vol. 329)

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

Business Model
Business Process
Process Model
Engines
Resources

An integrated view on the future of logistics and information technology

Grefen, P. W. P. J., Hofman, W., Dijkman, R. M., Veenstra, A. & Peters, S. P. F., 31 May 2018, 1805.12485 ed. Ithaca, NY, USA: Cornell University Library. 22 p.

Research output: Book/ReportReportAcademic

Open Access
File
Information technology
Logistics
Industry

Quantitative effects of advanced resource constructs in business process simulation

Peters, S. P. F., Dijkman, R. M. & Grefen, P. W. P. J., 14 Nov 2018, 2018 IEEE 22nd International Enterprise Distributed Object Computing Conference, EDOC 2018. Piscataway: Institute of Electrical and Electronics Engineers (IEEE), p. 115-122 8 p. 8536155

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

Industry
Engines
Resources
Business process simulation
Experiments

Courses

Business process management

1/09/05 → …

Course

E-business

1/09/05 → …

Course

Student theses

Throughput time and time window estimation for business processes using historical data

Author: Peters, S., 31 Oct 2016

Supervisor: Dijkman, R. (Supervisor 1), van Dongen, B. (Supervisor 2) & Grefen, P. (Supervisor 2)

Student thesis: Master

File