Scientific program

SCHEDULE

The virtual PMS 2022 Workshop is scheduled on 6-7 April 2022. All times are UTC+2:00.

The detailed scientific program (possibly subject to changes) is available for Day 1 (6 April) and Day 2 (7 April). The Zoom links for the different sessions are included.

In case of questions/problems, please contact us at pms2022@sciencesconf.org, mario.vanhoucke@ugent.be, tom.servranckx@ugent.be.

An overview of the schedule is provided below:

INFORMATION FOR PRESENTERS

Speakers will have 15 minutes for their presentations and 5 additional minutes for questions.

PLENARY SPEAKERS

Plenary talk: The Fairy Tale of Scheduling and the Enchanted Combinatoric

Vincent T’Kindt (Polytechnic University of Tours)

Link to the video

Time: 6 April 2022, 4.00 PM - 5.00 PM

Chair: Erwin Pesch

This talk is about the relationship between Scheduling (the nice guy) and Combinatoric (the bad guy). As scheduling researchers our challenges are, roughly speaking, to study how scheduling problems can be efficiently solved by computers. But then comes the Combinatoric, bringing to us difficulties, making us upset about not being able to easily solve our scheduling problems. Understanding why Combinatoric complicates our life is challenging but part of the game: there is no way to solve efficiently a scheduling problem without understanding what makes it difficult and without using appropriate algorithms. 

I will give a feedback on my own experience, using some machine scheduling problems as illustrative examples. Notably, I will mainly focus on the exact and heuristic solution of scheduling problems by algorithms relying on mathematical programming, making also an outing in the lands of theoretical computer science and machine learning. I will conclude by evoking some research topics which could be used to write the next chapters of the fairy tale.

Keywords: Machine scheduling; Mathematical Programming ; Exponential-time algorithmsKeywords : Machine scheduling; Mathematical Programming ; Exponential-time algorithms

Vincent T’kindt is full professor in computer science at the Polytechnique College of the University of Tours (France). He got his Ph.D. in Computer Science in 1999 from the University of Tours for and his habilitation (HDR) in 2005. From 2007 to 2020, he headed the scheduling group (25 people) of the Laboratory of Applied and Theoretical Computer Science (LIFAT) of the University of Tours. 

His initial research works were focused on multiobjective optimization and scheduling theory, topic on which he published three books. Along the years, he has been interested in many topics related to optimization with most of the time applications to scheduling theory: e.g. mathematical programming to solve large-size problems, exponential-time algorithms or even recently the interplay of machine learning and operational research. 

His researches have led to three books, more than 50 papers in international peer-reviewed journals and about 200 communications in conferences. 

Plenary talk: Project Modeling and Planning under Uncertainty: Last 20 years and Future Perspectives 

Öncü Hazir (Rennes Business School)

Link to the video

Time: 7 April 2022, 3.20 PM - 4.20 PM

Chair: Christoph Schwindt

In this speech, a classification for major sources of uncertainty in projects will be presented and the approaches adopted in the literature for mitigating the impact of uncertainty will be discussed. A special emphasis will be given to robust optimization and its applications in project planning. The progress in academic knowledge in this area over the last 20 years will be summarized. Mathematical models will be presented; the extensions and application areas will be discussed.

The analysis might serve as a useful basis for investigating and modeling the characteristics of various sources of uncertainty and their impacts on achieving project targets. The discussion can support researchers to identify the research gaps in developing project plans under uncertainty. Regarding research directions, the discussion will highlight some interesting topics that require studies combining project planning and control, data analytics, risk management, decision support systems.

Keywords: Project Planning, Scheduling, Risk Management, Robust Optimization, Data Analytics, Decision Support Systems

Öncü Hazır is an associate professor at Rennes School of Business. He received his BS degree in Industrial Engineering and MBA degree from the Middle East Technical University, Ankara, Turkey. He completed his Ph.D. at the Department of Business Administration in Bilkent University in 2008. His dissertation was on project scheduling. He worked as a post-doctorate researcher in Laboratoire d'Informatique de Paris 6 and Ecole Nationale Supérieure des Mines de Saint-Etienne and as an associate professor at TED University. He participated in various research projects in project planning and control, machine scheduling, and assembly line balancing and published several articles in operations research and management journals. He is a co-author of the recently published textbook, “An Introduction to Project Modeling and Planning”.