The goal of the BPO workshop is to bring together researchers from both the area of Business Process Management and the area of Operations Research as well as other related areas, with the overall goal of developing techniques for optimizing business processes in an organization based on models that are created from real-world data.
The workshop accepts both papers on techniques for optimizing business processes and applications of such techniques to real-world problems.
Techniques for optimizing business processes that are considered, include, but are not limited to:
Techniques for business process optimization, including resource assignment and task scheduling
Fundamental (mathematical) models for business process optimization, including (timed) Petri nets, Linear Programming and Markov Decision Processes
Data-driven techniques for business process-enhancement and -prediction with the goal of developing business process optimization models
Techniques for business process optimization based on data-enhanced process models
Quantitative business process analysis techniques, including flow analysis and queueing analysis
Simulation techniques for business process optimization
Technique-oriented papers must present novel techniques or combinations of techniques that can be used to solve business process optimization problems. The problems that are solved must be new or they must be solved in a better way than previously possible. The improvements must be clearly demonstrated in an evaluation.
Applications of those techniques in particular domains, include, but are not limited to applications for optimizing specific aspects of:
Administrative processes
Healthcare processes
Transportation processes
Supply chain and logistics processes
Cloud services
Other service and manufacturing domains
Application-oriented papers must present a novel combination of existing techniques to solve a real-world scenario. They must present the business process that is being optimized, the performance indicators that are optimized and compare them in an evaluation that is preferably based on real-world data.
The workshop accepts two types of submissions:
Full papers of up to 12 pages in LNBIP style. If accepted, full papers will be included in the workshop proceedings and the research presented in the paper can be presented at the workshop.
Abstracts of 1 page LNBIP style. If accepted, abstracts will be published in the workshop program booklet and the research presented in the abstract can be presented at the workshop.
Full paper submissions are evaluated based on their scientific contribution, relevance, technical correctness, and presentation. Abstract submissions are evaluated based on the proposed scientific contribution, relevance, and the potential that it leads to an interesting presentation and discussion.
The workshop is limited to one full day. Consequently, a cap may be put on the number of papers and abstracts that is accepted for presentation. For papers that are accepted for presentation, one unique presenter registration to the conference is required.
Full papers should be written in English, following Springer LNCS style - including all text, references, appendices, and figures. For formatting instructions and templates, see the Springer Web page: http://www.springer.de/comp/lncs/authors.html. Submitted papers will be evaluated by at least three members of the BPO international Program Committee. The workshop papers will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP). According to Springer's policy, the acceptance rate will be lower than or at most equal to 50%. For inclusion in the workshop proceedings, at least one author per accepted paper must register and participate in the workshop. Depending on the quality of the submissions, we also consider publishing long versions of the papers in a journal Special Issue.
Submissions should be made via the Easychair system through the BPM 2022 submission page: https://www.easychair.org/conferences/?conf=bpm2023. During submission choose '2nd International Workshop on Data-Driven Business Process Optimization' as the track to submit your work to.