Netherlands OML Conference 2 & 3 June

Program – Thursday 2 June 2022

10.30-11.00	Registration
11.00-11.15	Opening by Ivo Adan – Scientific director research school Beta
11.15-12.15	Keynote presentation by Rob van der Mei (emergency logistics)
12.15-13.30	Lunch
13.30-15.00	Session 1: Transport Chair: Luuk Veelenturf	Session 2: Data Analytics Chair: Zümbül Atan	Session 3: Robotic Systems Chair: René de Koster
	Titi Iswari – A collaborative model for inventory and routing in city logistics: an experimental study	Stef Lemmens – Operational Challenges in Medical Transportation Platforms in Developing Countries	Mahsa Alirezaei – The impact of safety and productivity reminders on warehouse driver behavior: A VR experiment
	Rolf van Lieshout – How (not) to evaluate the quality of passenger routes, timetables and line plans	Christina Imdahl – Targeted Automation of Order Decisions Using Machine Learning	Bhoomica Nataraja – Integrated Decisions for Robot-based Order Picking/Fulfillment Systems
	Lóri Tavasszy – Translating the Physical Internet to city logistics – some research directions	Ozge Tuncel – Lower-Tier Supplier Sustainability Improvement Framework	Frederik Schulte – Human Aspects and Performance in Collaborative Order Picking—What if Robots Learned When to Give Humans a Break?
15.00-15.30	Break & check in
15.30-17.00	Session 4: Advances in Retail Operations Chair: Nevin Mutlu	Session 5: Energy Chair: Evrim Ursavas	Session 6: Sustainability and Circular Economy Chair: Renzo Akkerman
	Somayeh Torkaman – From return to exchange: the value of an omni-channel journey	Stefano Fazi – The Multi-trip Container Drayage problem with Empty Containers Management in a Dry-port Setting	Gizem Mullaoglu – An Incentivization Selection Model to Promote Circularity in Repair Operations
	Yeqing Zhou – The value of flexibility from opaque selling	Albert Schrotenboer – Dynamic production and static distribution of green hydrogen: A combined MDP and MIP approach	Patricia Rogetzer – Analysis of a circular solution for complex waste streams
	Paul Buijs – How Does Vendor-Managed Inventory Improve Supply Chain Performance?	Ilke Bakir – An Integrated Optimization Framework for Multi-Component Predictive Analytics in Wind Farm Operations & Maintenance	Gijsbert Korevaar – Circular business model experimentation: An agent-based approach to validation of various business models for circular industries
17.00-17.30	Break & poster session
17.30-18.15	Keynote presentation by Willem van Jaarsveld (reinforcement learning)
18.15-18.30	Break
18.30-20.30	Conference dinner

Program – Friday 3 June 2022

7.00-9.00	Breakfast
9.00-10.00	Keynote presentation Paul Enders about how academia and industry can support each other for solving societal problems
10.00-11.00	Break & poster session
11.00-12.00	Panel discussion ‘The future of academic publishing’
12.00-13.00	Lunch – last possibilty for voting for poster prize
13.00-14.30	Session 7: Health Care Operations Chair: Harwin de Vries	Session 8: New Operations Management Research Areas / reinforcement learning Chair: Maxi Udenio	Session 9: Maintenance & after sales service supply chains Chair: Engin Topan
	Caroline Jagtenberg – Modeling Emergency Medical Service Volunteer Response	Arnoud Wellens – The Impact of Improving Demand Forecasts with Machine Learning Methods on a Retailer’s Inventory Control	Ipek Dursun – Data-driven spare parts recommendation for corrective maintenance of capital goods
	Denise Tönissen – Using 3D-printing in disaster response: The two-stage stochastic 3D-printing knapsack problem	Tarkan Temizoz – Deep Controlled Learning for Large Scaled Inventory Control	Laurens Deprez – Empirical Risk Assessment of Maintenance Costs under Full-service Contracts
	Harwin de Vries – Site Visit Frequency Policies for Mobile Family Planning Services	Robert van Steenbergen – Reinforcement Learning for UAV-Aided Humanitarian Logistics	Engin Topan – Operational spare parts planning in service control towers
14.30	PhD Poster Award ceremony Closing by Bert van Wee (Scientific director research school TRAIL) Closing drink