Content available in repository
Content available in repository
Personal profile
Research profile
Lotte joined the Operations, Planning, Accounting and Control group as a PhD Candidate in October 2018. In 2018, she received her MSc degree in Operations Management and Logistics from the TUe, and she holds a BSc degree in Industrial Engineering (2015).
Lotte's research is focused on exploring the added value of Machine Learning in Supply Chain applications. The research is conducted in cooperation with ORTEC, and it is supervised by prof.dr. Tom van Woensel, dr. Nico Dellaert and dr. Noud Gademann.
Fingerprint
Dive into the research topics where Lotte van Hezewijk is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Research output
- 1 Article
-
Using the proximal policy optimisation algorithm for solving the stochastic capacitated lot sizing problem
van Hezewijk, L., Dellaert, N. P., van Woensel, T. & Gademann, A. J. R. M., 2023, In: International Journal of Production Research. 61, 6, p. 1955-1978 24 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Citations (Scopus)
-
Using the Proximal Policy Optimization Algorithm for Solving the Stochastic Capacitated Lot Sizing Problem
Lotte van Hezewijk (Speaker)
24 Oct 2021Activity: Talk or presentation types › Invited talk › Scientific
-
15th ISIR Summer School
Lotte van Hezewijk (Participant)
23 Aug 2021 → 27 Aug 2021Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
-
Using the Proximal Policy Optimization Algorithm for Solving the Stochastic Capacitated Lot Sizing Problem
Lotte van Hezewijk (Speaker)
13 Jul 2021Activity: Talk or presentation types › Contributed talk › Scientific
-
A Deep Reinforcement Learning Approach to Solve the Multi-item Stochastic Capacitated Lot Sizing Problem
Lotte van Hezewijk (Speaker)
7 Nov 2020 → 13 Nov 2020Activity: Talk or presentation types › Contributed talk › Scientific
-
A Deep Reinforcement Learning Approach to Solve the Multi-item Stochastic Capacitated Lot Sizing Problem
Lotte van Hezewijk (Speaker)
27 Aug 2020Activity: Talk or presentation types › Contributed talk › Scientific
Thesis
-
Implementing supply chain segmentation at P&G to improve supply chain performance
Author: van Hezewijk, L., 28 Sept 2018Supervisor: Slikker, M. (Supervisor 1), Atan, Z. (Supervisor 2) & Tan, L. (Supervisor 2)
Student thesis: Master
File