Supply chain transportation plans optimization Time-expanded graph enrichment heuristic
Abstract
We adress to a problem of freight transportation in supply chains. To model flows over time in the system, we use time-expanded graphs. However, the time-expanded graphs' size increases exponentially with the number of actors and the time dimension, which makes the industrial solvers inefficient to overcome real instances. To face this difficulty , we conceived an heuristic based from Boland's and Hewitt's Dynamic Discretization Discovery. We manipulates a partially time-expanded graph, componed of a small subset of nodes and arcs, and enriches it in-crementally. We produce a sparse graph with the essential elements and solve the associated problem, with much less constraints and variables.
Domains
Operations Research [cs.RO]
Origin : Files produced by the author(s)
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