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Personal profile

Personal information

I am Associate Professor of Transport Optimization at the School of Business and Economics, section Logistics. I joined current resrearch group as an Assistant Professor in 2014. In 2012, I received my PhD in Operations Research from the School of Industrial Engineering at Eindhoven University of Technology (TU/e). I have a Master degree in Industrial Engineering and Bachelor degree in Mathematics and Physics. Prior to joining VU Amsterdam, I was postdoctoral researcher at TU/e from 2012 to 2014.

Research

My research focuses on modeling and solving real-life problems arising in transportation. In particular, I am interested in developing exact methods for variant transportation problems inspired from practice. I also have several years of experience as a consultant and algorithms expert. My research results have been successfully implemented and tested in several projects with industry, and published in leading academic journals: Transportation Science, European Journal of Operational Research, Computers and Operations Research and the International Journal of Production Economics.

Teaching

I am the course coordinator of the following subjects:

  • Business Processes
  • Service Logistics

Ancillary activities

  • Eyefreight BV | Bunnik | Algorithms Expert | 2014-10-01

Ancillary activities are updated daily

Grants

Project: Sensing Logistics (SensLog), Amount: €600.000

Innovative sensors enable capturing large amounts of data about freight flows and are more and more applied in practice. To reap the benefits of sensory data, the project will particularly focus on three topics: to develop models and decision support tools for sensor placement and sensor repositioning strategies, generate predictive models for logistics operations; to improve logistics performance; and finally to develop suitable offline and online algorithms to reschedule/re-route logistics operations.

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.

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Vehicle routing Engineering & Materials Science
Travel time Engineering & Materials Science
common carrier Social Sciences
Costs Engineering & Materials Science
Inventory control Engineering & Materials Science
Labeling Engineering & Materials Science
travel Social Sciences
Dynamic programming Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2011 2018

An Exact Algorithm for a Rich Vehicle Routing Problem with Private Fleet and Common Carrier

Dabia, S., Lai, S. W. & Vigo, D., 2018, (Accepted/In press) In : Transportation Science.

Research output: Contribution to JournalArticleAcademicpeer-review

common carrier
Vehicle routing
customer
costs
Costs

The Time-Dependent Capacitated Profitable Tour Problem with Time Windows and Precedence Constraints

Sun, P., Veelenturf, L. P., Dabia, S. & van Woensel, T., 2018, In : European Journal of Operational Research. 264, 3, p. 1058-1073

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access
Precedence Constraints
Travel Time
Time Windows
Travel time
Optimality

The time window assignment vehicle routing problem with time-dependent travel times

Spliet, R., Dabia, S. & van Woensel, T., Mar 2018, In : Transportation Science. 52, 2, p. 261-276 16 p.

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access
Vehicle routing
Travel time
travel
Costs
Tabu search

An Exact Approach for a Variant of the Pollution-Routing Problem

Dabia, S., Demir, E. & van Woensel, T., 2017, In : Transportation Science. 51, 2, p. 607-628

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access

Approximating multi-objective scheduling problems

Dabia, S., Talbi, E. G. & van Woensel, T., 2013, In : Computers and Operations Research. 40, 5, p. 1165-1175

Research output: Contribution to JournalArticleAcademicpeer-review

Scheduling Problem
Scheduling
Pareto Solutions
Approximation
Dynamic programming