Publicaties
Optimizing Remediation of Spatially Dispersed Contaminated Parcels under an Annual Budget Constraint KU Leuven
In environmental disaster management, due to the large impacted area or limited availability of labor and financial resources, setting priorities of where, how and when to act are indispensable. When prioritized interventions on spatially dispersed entities are costly and technically challenging to perform, clustering of individual entities in larger homogeneous actionable units can improve feasibility and reduce cost of the remediation. In this ...
Accounting for uncertainty and disagreement in multi-criteria decision making using triangular fuzzy numbers and Monte Carlo simulation: A case study about selecting measures for remediation of agricultural land after radioactive contamination KU Leuven
In many MCDM problems the use of ordinal qualitative scales formed by linguistic terms are used, these scales are popular since words are more natural than numbers to represent the preferences of people [1]. Most real-world decision making takes place in a complex environment, therefore, the use of these linguistic scorings can become a tool for dealing with vagueness, imprecision and uncertainty. Both the criteria scores for the considered ...
Optimization models for scheduling operations in robotic mobile fulfillment systems KU Leuven
In robotic mobile fulfillment systems (RMFS), mobile robots carry inventory shelves autonomously from the storage area to picking stations and back. The scheduling of these robots and the order picking activities can be modeled as a collection of interrelated optimization problems. In this paper, we focus on the following optimization problems: the order allocation to picking stations, order sequencing, the inventory pod selection, and the robot ...