Performance analysis and optimisation of new strategies for the setup of a multihead weighing process
J. Carlos García-Díaz and
Alexander Pulido-Rojano
European Journal of Industrial Engineering, 2020, vol. 14, issue 1, 58-84
Abstract:
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. [Received: 15 September 2017; Revised: 15 November 2018; Revised: 20 March 2019; Accepted: 14 April 2019]
Keywords: packing; multihead weighing process; Six Sigma process; optimal operating conditions; variability reduction. (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.inderscience.com/link.php?id=105081 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:eujine:v:14:y:2020:i:1:p:58-84
Access Statistics for this article
More articles in European Journal of Industrial Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().