43 Papers
117 Citations
Sacha Varone is an academic researcher from University of Applied Sciences Western Switzerland. The author has contributed to research in topics: Waste collection & Routing (electronic design automation). The author has an hindex of 9, co-authored 43 publications. Previous affiliations of Sacha Varone include École Polytechnique de Montréal & École Normale Supérieure.
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Papers
Waste collection inventory routing with non-stationary stochastic demands
TL;DR: In this article, a rich routing problem inspired from practice is solved, in which a heterogeneous fixed fleet is used for collecting recyclable waste from large containers over a finite planning horizon.
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An Ant Algorithm for the Steiner Tree Problem in Graphs
TL;DR: The goal of this paper is to design an ant algorithm (called ANT-STP) for the Steiner Tree Problem in graphs which is better than TM, which is a greedy constructive method for the STP proposed in [34].
Vehicle routing for a complex waste collection problem
Iliya Markov,Sacha Varone,Michel Bierlaire +2 more
- 08 Dec 2014
TL;DR: In this article, the authors consider a complex waste collection problem, where the residents of a certain region dispose of recyclable waste, which is collected using a fixed heterogeneous fleet of vehicles with different capacities, fixed costs, unit distance running costs and hourly driver wage rates.
A unified framework for rich routing problems with stochastic demands
TL;DR: In this paper, a unified framework for rich vehicle and inventory routing problems with complex physical and temporal constraints is introduced, where demands are stochastic, can be non-stationary, and are forecast using any model that provides the expected demands and their error term distribution.
•Proceedings Article
Empirical study of ERP systems implementation costs in swiss SMEs
Catherine Equey,RJ Rob Kusters,Sacha Varone,Nicolas Montandon +3 more
- 01 Jan 2008
TL;DR: This research uses data from a survey of Swiss SMEs having implemented ERP in order to test cost drivers and proposes a new classification of cost drivers that depend on the enterprise itself, rather than on ERP.