Logic-based Benders decomposition for an inventory-location problem with service constraints

By David Wheatley, Fatma Gzara, E. Jewkes. 2015

72 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Organizational Behavior and Human Resource Management, Transportation

View Paper: https://www.semanticscholar.org/paper/f903056407e5f9137d8efe6508ed41392206e59a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Industrial and Manufacturing Engineering

1. Teodor Gabriel Crainic
2. Michel Gendreau
3. Walter Rei
4. Ragheb Rahmaniani
5. Thibaut Vidal
6. Christian Prins
7. Gilbert Laporte
8. Michael Drexl

In Organizational Behavior and Human Resource Management

1. Teodor Gabriel Crainic
2. Michel Gendreau

In Transportation

1. Teodor Gabriel Crainic
2. Michel Gendreau
3. Walter Rei
4. Ragheb Rahmaniani

Citations in the corpus

• The Benders decomposition algorithm: A literature review (2017, methodology): “The basic idea is to use convex envelopes (or underestimators) to formulate lower-bounding convex MINLPs.”