Benders decomposition uses a strategy of``learning from one's mistakes.''The aim of this
paper is to extend this strategy to a much larger class of problems. The key is to generalize …

This paper considers the problem of scheduling automated guided vehicles (AGVs) with
battery constraints. Each transport request involves a soft time window, and the AGV fleet …

Recent trends towards larger and more complex systems necessitate the use of
heterogeneous and flexible automated guided vehicles (AGVs) to fulfill the transport …

Autonomous guided vehicles (AGVs) are driverless material handling systems used for
transportation of pallets and line side supply of materials to provide flexibility and agility in …

We propose an efficient optimization method, which addresses several performance criteria,
such as makespan, maximum lateness, and the sum of tardiness for an automated guided …

The efficiency of material supply for workstations using Automatic Guided Vehicles (AGVs) is
largely determined by the performance of the AGV dispatching scheme. This paper …

An improved method for solving conflict-free scheduling and routing of automated guided
vehicles is proposed in this article, with promising results. This is achieved by reformulating …

This book is the first comprehensive guide to logic-based Benders decomposition (LBBD), a
general and versatile method for breaking large, complex optimization problems into …

The vehicle routing problem is a combinatorial optimization problem of computing routes to
serve customers while minimizing a cost function, typically the traveled distance or the …