Variability reduction with multiweighing proceedings

Salicrú, Miquel; González, Cristiam Andrés Gil; Barreiro, Juan José

doi:10.1007/bf02568515

Cited by 8 publications

(5 citation statements)

References 1 publication

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“…Therefore, < A7BC7DE + = VAR (∑ ∈ @ ). This proposal was also presented by Salicrú et al (1996) and Barreiro et al (1998).…”

Section: Sources Of Variabilitymentioning

confidence: 67%

“…Some authors have studied the possibility of improving multiweighing procedures in packing processes' performance. For example, Salicrú et al (1996) and Barreiro et al (1998) proposed the use of the percentage variability reduction index for the reduction and control of production process variability. Keraita and Kim (2006) investigated the optimum scheme for the determination of the operation time of line feeders in automatic combination weighers.…”

Section: Previous Related Workmentioning

confidence: 99%

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Bi-objective optimisation of a multihead weighing process

García-Díaz

Pulido-Rojano

Giner‐Bosch

2017

EJIE

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Abstract: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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“…Therefore, < A7BC7DE + = VAR (∑ ∈ @ ). This proposal was also presented by Salicrú et al (1996) and Barreiro et al (1998).…”

Section: Sources Of Variabilitymentioning

confidence: 67%

Section: Previous Related Workmentioning

confidence: 99%

Bi-objective optimisation of a multihead weighing process

García-Díaz

Pulido-Rojano

Giner‐Bosch

2017

EJIE

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“…Several researchers have studied the possibility of improving multiweighing proceedings in packing processes. For example, Salicrú et al (1996) and Barreiro et al (1998) proposed the use of the percentage variability reduction index for the reduction and control of production process variability. Keraita and Kim (2006) investigated an optimum scheme for the determination of the operation time of line feeders in automatic combination weighers.…”

Section: Literature Reviewmentioning

confidence: 99%

“…is equal to or greater than the desired weight T. Nevertheless, we proposed that W is the weight which yields the minimum absolute-value difference with T. Therefore, Salicrú et al (1996) and Barreiro et al (1998). Based on the above, Salicrú et al (1996) proposed the RV index in the study of gain in variability reduction for the packaging process in multihead weighers, with the objective of comparing the random packing with other packing strategies, which can be done by obtaining RV values based on…”

Section: Variability Reduction Indexmentioning

confidence: 99%

Performance analysis and optimisation of new strategies for the setup of a multihead weighing process

García-Díaz

Pulido-Rojano

2020

EJIE

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This paper highlights the benefits of multihead weighing, a packaging process based on the sum of weights of several individual hoppers wherein total weight of the packed product must be close to a specified target weight while complying with applicable regulations. The paper details into performance analysis and optimisation of new strategies for setting-up the process to achieve an optimal configuration of the machine. Three strategies, designed to optimise the packaging process, are analysed and compared in terms of supplying products to the hoppers. A factorial design of the experimental model is exploited to predict the measures of performance as a function of a variety of control settings. Results of the numerical experiments are used to analyse the sources of variability and to identify the optimum operating conditions for the multihead weigher. Therefore, the findings of this paper will benefit both manufacturer and users of the multihead weigher machine. [

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“…Several researchers have studied the possibility of improving multihead weighing and packaging processes through mathematical optimisation or approximate methods. For example, a percentage variability reduction index has been proposed (Barreiro et al, 1998;Salicrú et al, 1996) to reduce and control production process variability. The optimal scheme for determining the operation time of line feeders in automatic combination weighers has also been investigated (Keraita and Kim, 2006).…”

Section: Related Workmentioning

confidence: 99%

Optimisation algorithms for improvement of a multihead weighing process

Rojano

Diaz

2019

IJPQM

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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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Variability reduction with multiweighing proceedings

Abstract: Quality Control, Packing Processes,

Cited by 8 publications

References 1 publication

Bi-objective optimisation of a multihead weighing process

Bi-objective optimisation of a multihead weighing process

Performance analysis and optimisation of new strategies for the setup of a multihead weighing process

Optimisation algorithms for improvement of a multihead weighing process

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