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Schedule
Thursday, 30 January |
08:30-09:10 | Welcome-registration-coffee | B14-B15-B16 |
09:10-09:30 | Opening session | Amphi Cuccaroni |
09:30-10:30 | Plenary session - Adam Letchford (Chair: Martine Labbé) | Amphi Cuccaroni |
10:30-11:20 | Coffee break | B14-B15-B16 |
11:20-12:40 | Parallel sessions |
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Multi-objective Optimization Chair: Sara Tari Room: E501 |
Health-care Chair: Véronique François Room: E502 |
Public Transportation Chair: Javier Duran Micco Room: E503 |
Global Optimization Chair: Olivier Rigal Room: E601 |
Analytics 1 Chair: Rafael Van Belle Room: E602 |
12:40-14:10 | Lunch/ORBEL Board meeting | B14-B15-B16/E501 |
14:10-15:10 | Parallel sessions |
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Air, Rail and Multimodal Transportation Chair: Paola Paregrini Room: E501 |
Game Theory Chair: Lotte Verdnock Room: E502 |
Transportation of People Chair: Yves Molenbruch Room: E503 |
Multi-level Optimization Chair: Concepcion Dominguez Room: E601 |
Analytics 2 Chair: Vedavyas Etikala Room: E602 |
15:10-15:50 | Coffee break | B14-B15-B16 |
15:50-16:40 | Parallel sessions |
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Sport Timetabling Chair: Dries Goossens Room: E501 |
Project Management and Scheduling Chair: Fan Yang Room: E502 |
Rich Routing and Graphs Chair: Alexandre Bontems Room: E503 |
Logistics Chair: Yuan Yuan Room: E601 |
Analytics 3 Chair: Jari Peeperkorn Room: E602 |
16:50-17:30 | ORBEL general assembly | Amphi Cuccaroni |
19:00-20:00 | Cocktail | Bar Zango |
20:30-23:00 | Dinner | La Terrasse des Ramparts |
Friday, 31 January |
09:30-10:30 | Plenary session - Miguel F. Anjos (Chair: Luce Brotcorne) | Amphi Cuccaroni |
10:30-11:20 | Coffee break | B14-B15-B16 |
11:20-12:40 | Parallel sessions |
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Automatic Configuration and Metaheuristics Analysis Chair: Kenneth Sorensen Room: E501 |
Real Life and Integrated Problems Chair: Jeroen Belien Room: E502 |
Warehouse Management Chair: Harol Mauricio Gamez Room: E601 |
Analytics 4 Chair: Noureddine Kouaissah Room: E602 |
12:40-14:10 | Lunch | B14-B15-B16 |
14:10-15:10 | Parallel sessions |
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Orbel Award Chair: Jeroen Belien Room: E501 |
Optimization Chair: Julien Dewez Room: E502 |
Trucking Optimization Chair: Hatice Çalik Room: E601 |
Analytics 5 Chair: Diego Olaya Room: E602 |
15:10-15:50 | Coffee break | B14-B15-B16 |
15:50-16:50 | Parallel sessions |
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Learning and Optimization Chair: Johan Van Kerckhoven Room: E501 |
Lot-sizing and Inventory Chair: Philippe Chevalier Room: E502 |
Rich Routing Chair: Cristian Aguayo Room: E601 |
17:00-17:15 | ORBEL award and closing session | Amphi Cuccaroni |
17:15-18:30 | Closing cocktail | B14-B15-B16 |
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Thursday 11:20 - 12:40 Multi-objective Optimization Room E501 - Chair: Sara Tari
Thursday 11:20 - 12:40 Health-care Room E502 - Chair: Véronique François
Thursday 11:20 - 12:40 Public Transportation Room E503 - Chair: Javier Duran Micco
Thursday 11:20 - 12:40 Global Optimization Room E601 - Chair: Olivier Rigal
Thursday 11:20 - 12:40 Analytics 1 Room E602 - Chair: Rafael Van Belle
- Partisanship in everyday life: predictive modeling with Facebook like data
Stiene Praet (University of Antwerp) Co-authors: Peter Van Aelst, David Martens
- Success Prediction with Dynamic Time Warping-based Feature Engineering for Activity Count Data
Steven Van Goidsenhoven (KU Leuven) Co-authors: Galina Deeva, Seppe vanden Broucke, Jochen De Weerdt
- Unravelling Drop-out in Fully Asynchronous Subscription-based MOOCs: When is Drop-out Failure or Success?
Wai Kit Tsang (Ghent University) Co-authors: Annelies Raes, Kristof Coussement, Dries Benoit
- Valuing lead time in a periodic-review multi-period order-up-to inventory system
Jente Van Belle (Vrije Universiteit Brussel) Co-authors: Tias Guns; Wouter Verbeke Abstract: Short lead times reduce exposure to demand uncertainty but generally also entail high production costs. de Treville et al. (2014) propose a real-options model for optimizing production (and sourcing) choices under demand uncertainty through an effective balance of production cost and lead time. They consider a single-period newsvendor problem in which lead time is modeled as an endogenous decision variable with demand uncertainty increasing in lead time and excess demand modeled as a foregone sales opportunity. The model allows to determine the required decrease (justified increase) in unit production cost to compensate for higher (lower) demand uncertainty exposure coming from an increase (decrease) in lead time.
In this paper, we propose several adjustments to this model that are necessary so that it can be used to analyze the effect of lead times in periodic-review multi-period order-up-to inventory systems in which excess demand is backordered. Under this commonly used inventory control policy, in each period t, (i) items produced in that period are added to inventory, (ii) demand is satisfied (fulfilled or backordered), (iii) the inventory position is reviewed, and (iv) the quantity to be produced at time t+h is determined based on the forecasted demand over lead time. Adjustments are suggested to take into account backordering costs and the shift from single-period to lead time demand forecasts.
We apply the adjusted model to a real case study in which sales history and open order data is available for producing demand forecasts. To this end, we rely on the closed-form Black-Scholes option pricing formulas. Historical data is used to calibrate the model parameters which allows us to take into account the effect on demand uncertainty of the arrival rate and clustering behavior of the open order data.
Finally, we also propose a data-driven counterpart of the model by relying on sample average approximation via inventory simulations. This alternative approach allows to consider inventory systems that make use of nonparametric distributions to determine optimal production quantities but is computationally more intensive than the real-options model.
Thursday 14:10 - 15:10 Air, Rail and Multimodal Transportation Room E501 - Chair: Paola Pellegrini
Thursday 14:10 - 15:10 Game Theory Room E502 - Chair: Lotte Verdnock
Thursday 14:10 - 15:10 Transportation of People Room E503 - Chair: Yves Molenbruch
Thursday 14:10 - 15:10 Multi-level Optimization Room E601 - Chair: Concepcion Dominguez
Thursday 14:10 - 15:10 Analytics 2 Room E602 - Chair: Vedavyas Etikala
Thursday 15:50 - 16:50 Sport Timetabling Room E501 - Chair: Dries Goossens
Thursday 15:50 - 16:50 Project Management and Scheduling Room E502 - Chair: Fan Yang
Thursday 15:50 - 16:50 Rich Routing and Graphs Room E503 - Chair: Alexandre Bontems
Thursday 15:50 - 16:50 Logistics Room E601 - Chair: Silia Mertens
Thursday 15:50 - 16:50 Analytics 3 Room E602 - Chair: Jari Peeperkorn
Friday 11:20 - 12:40 Automatic Configuration and Metaheuristics Analysis Room E501 - Chair: Kenneth Sorensen
Friday 11:20 - 12:40 Real Life and Integrated Problems Room E502 - Chair: Jeroen Belien
Friday 11:20 - 12:40 Warehouse Management Room E601 - Chair: Harol Mauricio Gamez
Friday 11:20 - 12:40 Analytics 4 Room E602 - Chair: Noureddine Kouaissah
Friday 14:10 - 15:10 Orbel Award Room E501 - Chair: Jeroen Belien
Friday 14:10 - 15:10 Optimization Room E502 - Chair: Julien Dewez
Friday 14:10 - 15:10 Trucking Optimization Room E601 - Chair: Hatiz Çalik
Friday 14:10 - 15:10 Analytics 5 Room E602 - Chair: Diego Olaya
Friday 15:50 - 16:50 Learning and Optimization Room E501 - Chair: Jorik Jooken
Friday 15:50 - 16:50 Lot-sizing and Inventory Room E502 - Chair: Philippe Chevalier
Friday 15:50 - 16:50 Rich Routing Room E601 - Chair: Cristian Aguayo
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ORBEL - Conference chairs: Diego Cattaruzza and Maxime Ogier
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