Optimisation algorithms for improvement of a multihead weighing process
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Fecha
2020
Autores
Pulido Rojano, Alexander
García Díaz, J. Carlos
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Editor
Inderscience Enterprises
Resumen
Mathematical optimisation is widely used to find the optimal value
for an objective function, subject to constraints that try to simulate reality, and
is fundamental to improving industrial processes. In this paper, we compare
different optimisation approaches to solve the packaging problem in multihead
weighing machines. In this problem, each package is made up from the loads in
a subset of the multihead weigher’s hoppers. The total weight of the packed
product must be as close to a specified target weight as possible. We designed
and evaluated a set of algorithms for this problem, considering both
single-objective and bi-objective optimisation criteria. A new criterion for
creating the packages is considered, and a different way of filling of the
hoppers is studied with the aim of reducing process variability. Numerical
experiments considering both a set of real data and the most important process
performance parameters show the usefulness of our study.
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Palabras clave
Optimisation, Mathematical modelling, Exhaustive search, Reduction of variability, Process improvement, Packaging, Multihead weighing process