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Schedule
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Thursday 11:00 - 12:20 Routing Problems Room 138 - Chair: Pieter Vansteenwegen
Thursday 11:00 - 12:20 Emergency operations scheduling Room 130 - Chair: El-Houssaine Aghezzaf
Thursday 11:00 - 12:20 Algorithm design Room 126 - Chair: Gerrit Janssens
Thursday 11:00 - 12:20 Multiple Objectives Room 120 - Chair: Filip Van Utterbeeck
Thursday 13:30 - 14:50 Integrated logistics Room 138 - Chair: Kris Braekers
Thursday 13:30 - 14:50 Person transportation Room 130 - Chair: Célia Paquay
Thursday 13:30 - 14:50 Continuous models Room 126 - Chair: Nicolas Gillis
Thursday 13:30 - 14:50 Integer programming Room 120 - Chair: Bernard Fortz
Thursday 15:20 - 16:20 Material handling and warehousing 1 Room 138 - Chair: Greet Vanden Berghe
- A decade of academic research on warehouse order picking: trends and challenges
Babiche Aerts (University of Antwerp) Co-authors: T. Cornelissens, K. Sorensen
- Iterated local search algorithm for solving operational workload imbalances in order picking
Sarah Vanheusden (Hasselt University, research group logistics) Abstract: Trends such as the upcoming e-commerce market, shortened product life cycles, and greater product variety, expose order picking activities to new challenges. Order pickers need to fulfil many small orders for a large variety of stock keeping units due to a changed order behaviour of customers. Furthermore, warehouses accept late orders from customers to stay competitive and preserve high service levels. This results in extra difficulties for order picking operations, as more orders need to be picked and sorted in shorter and more flexible time windows. Warehouse managers therefore experience difficulties in balancing the workload of the order pickers on a daily basis, resulting in peaks of workload during the day.
Balancing the workload in an order picking system can be addressed from several perspectives. Instead of putting the focus on strategic or tactical solutions, the emphasis of this study is on the operational level, in order to avoid peaks in the number of picked order lines every hour of the day. The objective function aims to minimise the variance of planned order lines over all time slots, for each pick zone. Solving instances of realistic size to optimality in a reasonable amount of computation time does not seem feasible due to the complex nature of the operational workload imbalance problem (OWIP). The objective of this study is the development of an iterated local search algorithm to solve OWIP in a parallel zoned manual order picking system.
- Scheduling container transportation with capacitated vehicles through conflict-free trajectories: A local search approach
Emmanouil Thanos (KU Leuven) Co-authors: Tony Wauters, Greet Vanden Berghe
Thursday 15:20 - 16:20 Operations management Room 130 - Chair: Roel Leus
Thursday 15:20 - 16:20 Matrix factorization Room 126 - Chair: Pierre Kunsch
Thursday 16:30 - 17:10 Material handling and warehousing 2 Room 138 - Chair: Katrien Ramaekers
Thursday 16:30 - 17:10 Routing and local search Room 130 - Chair: An Caris
Thursday 16:30 - 17:10 Traffic management Room 126 - Chair: Joris Walraevens
Thursday 16:30 - 17:10 Pharmaceutical supply chains Room 120 - Chair: Bart Smeulders
Friday 10:50 - 12:10 Optimization in health care Room 138 - Chair: Jeroen Beliën
Friday 10:50 - 12:10 Network design Room 130 - Chair: Jean-Sébastien Tancrez
Friday 10:50 - 12:10 Local search methodology Room 126 - Chair: Patrick De Causmaecker
Friday 10:50 - 12:10 ORBEL Award Room 120 - Chair: Frits Spieksma
Friday 13:00 - 14:00 Production and inventory management Room 138 - Chair: Tony Wauters
Friday 13:00 - 14:00 Logistics 4.0 Room 130 - Chair: Thierry Pironet
Friday 13:00 - 14:00 Data clustering Room 126 - Chair: Yves De Smet
Friday 13:00 - 14:00 Collective decision making Room 120 - Chair: Bernard De Baets
Friday 14:10 - 15:10 Sport scheduling Room 138 - Chair: Dries Goossens
Friday 14:10 - 15:10 Discrete choice modeling Room 130 - Chair: Virginie Lurkin
Friday 14:10 - 15:10 Data classification Room 126 - Chair: Ashwin Ittoo
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ORBEL - Conference chair: Prof. A. Arda -
Platform: Prof. M. Schyns.
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