**Reference:**

A.N. Tarau,
B. De Schutter, and
J. Hellendoorn,
"Predictive control for baggage handling systems using mixed integer
linear programming," *Proceedings of the 5th IFAC International
Conference on Management and Control of Production Logistics (MCPL
2010)*, Coimbra, Portugal, pp. 16-21, Sept. 2010.

**Abstract:**

State-of-the-art baggage handling systems transport luggage in an
automated way using destination coded vehicles (DCVs). These vehicles
transport the bags at high speeds on a network of tracks. In this
paper we consider the problem of controlling the route of each DCV in
the system. In general this results in a nonlinear, nonconvex, mixed
integer optimization problem which is usually very expensive in terms
of computational effort. Therefore, we present an alternative approach
for reducing the complexity of the computations by simplifying and
approximating the nonlinear optimization problem by a mixed integer
linear programming (MILP) problem. The advantage is that for MILP
problems solvers are available that allow us to efficiently compute
the global optimal solution. The solution of the MILP problem can then
be used as a good initial starting point for the original nonlinear
optimization problem. We use model predictive control (MPC) for
solving the route choice problem. We also assess the performance of
the proposed (nonlinear and MILP) formulations of the MPC optimization
problem using a benchmark case study.

Online version of the paper

Corresponding technical report: pdf file (182 KB)

@inproceedings{TarDeS:10-041,

author={A.N. Tar{\u{a}}u and B. {D}e Schutter and J. Hellendoorn},

title={Predictive control for baggage handling systems using mixed integer linear programming},

booktitle={Proceedings of the 5th IFAC International Conference on Management and Control of Production Logistics (MCPL 2010)},

address={Coimbra, Portugal},

pages={16--21},

month=sep,

year={2010},

doi={10.3182/20100908-3-PT-3007.00004}

}

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