TY - JOUR
T1 - Bi-objective optimisation of a multihead weighing process
AU - García-Díaz, J. Carlos
AU - Pulido-Rojano, Alexander
AU - Giner-Bosch, Vicent
N1 - Publisher Copyright:
Copyright © 2017 Inderscience Enterprises Ltd.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Bi-objective optimisation
KW - Compromise programming
KW - Exhaustive search
KW - Multihead weighing process
KW - Reduction of variability
UR - http://www.scopus.com/inward/record.url?scp=85022329935&partnerID=8YFLogxK
U2 - 10.1504/EJIE.2017.084882
DO - 10.1504/EJIE.2017.084882
M3 - Article
AN - SCOPUS:85022329935
SN - 1751-5254
VL - 11
SP - 403
EP - 423
JO - European Journal of Industrial Engineering
JF - European Journal of Industrial Engineering
IS - 3
ER -