Bi-objective optimization of a multihead weighing process
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Fecha
2017
Autores
García-Díaz, J. Carlos
Pulido-Rojano, Alexander
Giner-Bosch, Vicent
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Editor
Inderscience Publishers
Resumen
A multihead weighing process is a packaging technology that can be of strategic importance to a company, as it can be a key to competitive advantage in the modern food industry. The improvement in the process quality and sensory quality of food packaged in a multihead weighing process investigated in this paper is relevant to industrial engineering. A bi-objective ad hoc algorithm based on explicit enumeration for the packaging processes in multihead weighers with an unequal supply of the product to the weighing hoppers is developed. The algorithm uses an a priori strategy to generate Pareto-optimal solutions and select a subset of hoppers from the set of available ones in each packing operation. The relative importance of both aforementioned objectives is dynamically managed and adjusted. The numerical experiments are provided to illustrate the performance of the proposed algorithm and find the optimum operational conditions for the process.
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Palabras clave
Multihead weighing process, Bi-objective optimization, Compromise programming, Exhaustive search, Reduction of variability