Performance analysis and optimisation of new strategies for the setup of a multihead weighing process
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 performanc...
- Autores:
-
García-Díaz, J. Carlos
Pulido-Rojano, Alexander
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/4737
- Acceso en línea:
- https://hdl.handle.net/20.500.12442/4737
- Palabra clave:
- Packing
Multihead weighing process
Six Sigma process
Optimal operating conditions
Variability reduction
- Rights
- License
- Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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Performance analysis and optimisation of new strategies for the setup of a multihead weighing process |
| title |
Performance analysis and optimisation of new strategies for the setup of a multihead weighing process |
| spellingShingle |
Performance analysis and optimisation of new strategies for the setup of a multihead weighing process Packing Multihead weighing process Six Sigma process Optimal operating conditions Variability reduction |
| title_short |
Performance analysis and optimisation of new strategies for the setup of a multihead weighing process |
| title_full |
Performance analysis and optimisation of new strategies for the setup of a multihead weighing process |
| title_fullStr |
Performance analysis and optimisation of new strategies for the setup of a multihead weighing process |
| title_full_unstemmed |
Performance analysis and optimisation of new strategies for the setup of a multihead weighing process |
| title_sort |
Performance analysis and optimisation of new strategies for the setup of a multihead weighing process |
| dc.creator.fl_str_mv |
García-Díaz, J. Carlos Pulido-Rojano, Alexander |
| dc.contributor.author.none.fl_str_mv |
García-Díaz, J. Carlos Pulido-Rojano, Alexander |
| dc.subject.eng.fl_str_mv |
Packing Multihead weighing process Six Sigma process Optimal operating conditions Variability reduction |
| topic |
Packing Multihead weighing process Six Sigma process Optimal operating conditions Variability reduction |
| description |
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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2020 |
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2020-02-13T19:24:16Z |
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2020-02-13T19:24:16Z |
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2020 |
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article |
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http://purl.org/coar/resource_type/c_6501 |
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article |
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https://hdl.handle.net/20.500.12442/4737 |
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https://hdl.handle.net/20.500.12442/4737 |
| dc.language.iso.eng.fl_str_mv |
eng |
| language |
eng |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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http://purl.org/coar/access_right/c_16ec |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_16ec |
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pdf |
| dc.publisher.eng.fl_str_mv |
Inderscience Enterprises |
| dc.source.eng.fl_str_mv |
European Journal of Industrial Engineering |
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Vol. 14, No. 1 (2020) |
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Universidad Simón Bolívar |
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García-Díaz, J. Carlos98f0422a-d3e2-4ff9-a2c1-8dd757159d54Pulido-Rojano, Alexander032b0909-cceb-4be6-81e5-905767bf83132020-02-13T19:24:16Z2020-02-13T19:24:16Z2020https://hdl.handle.net/20.500.12442/4737This 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.pdfengInderscience EnterprisesAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/http://purl.org/coar/access_right/c_16ecEuropean Journal of Industrial EngineeringVol. 14, No. 1 (2020)PackingMultihead weighing processSix Sigma processOptimal operating conditionsVariability reductionPerformance analysis and optimisation of new strategies for the setup of a multihead weighing processarticlearticlehttp://purl.org/coar/resource_type/c_6501Barreiro, J.J., González, C. and Salicrú, M. (1998) ‘Optimization of multiweighing packing proceeding’, Top, Vol. 6, No. 1, pp.37–44.Beretta, A. and Semeraro, Q. (2012), ‘On a RSM approach to the multihead weigher configuration’ in the 11th biennial Conference on Engineering Systems Design and Analysis (ASME 2012), Nantes, France, pp.225–233.Beretta, A., Semeraro, Q. and del Castillo E. (2016) ‘On the multihead weigher machine setup problem’, Packaging Technology and Science, Vol. 29, No. 3, pp.175–188.del Castillo, E., Beretta, A. and Semeraro, Q. (2017) ‘Optimal setup of a multihead weighing machine’. European Journal of Operational Research, Vol. 259, No. 1, pp.384–393.García-Díaz, J.C. and Pulido-Rojano, A. (2017) ‘Monitoring and control of the multihead weighing process through a modified control chart’, DYNA, Vol. 84, No. 200, pp.135–142.García-Díaz, J.C., Pulido-Rojano A. and Giner-Bosch, V. (2017) ‘Bi-objective optimization of a multihead weighing process’, European Journal Industrial Engineering, Vol. 11, No. 3, pp.403–423.Garey, M.R. and Johnson, D.S. (1979) Computers and Intractability: A Guide to the Theory of NP-Completeness, WH Freeman and Company, New York.Imahori, S., Karuno, Y., Nagamochi, H. and Wang, X. (2011) ‘Kansei engineering humans and computers: efficient dynamic programming algorithms for combinatorial food packing problems’, International Journal of Biometrics, Vol. 3, No. 3, pp.228–245.Imahori, S., Karuno, Y., Nishizaki, R. and Yoshimoto, Y. (2012) ‘Duplex and quasi-duplex operations in automated food packing systems’, in 2012 IEEE/SICE International Symposium on System Integration (SII), Fukuoka, Japan, pp.810–815.Karuno, Y. and Tateishi, K. (2014), ‘Improved Heuristics with data rounding for combinatorial food packing problems’ in IEEE 2014 7th International Conference on Service-Oriented Computing and Applications, Matsue, Japan, pp.81–88.Karuno, Y., Nagamochi, H. and Wang, X. (2007) ‘Bi-criteria food packing by dynamic programming’, Journal of the Operations Research Society of Japan, Vol. 50, No.4, pp.376–389.Karuno, Y., Nagamochi, H. and Wang, X. (2010) ‘Optimization problems and algorithms in double-layered food packing systems’, Journal of Advanced Mechanical Design, System, and Manufacturing, Vol. 4, No. 3, pp.605–615.Karuno, Y., Takahashi, K. and Yamada, A. (2013) ‘Dynamic programming algorithms with data rounding for combinatorial food packing problems’, Journal of Advanced Mechanical Design, System, and Manufacturing, Vol. 7, No. 2, pp.233–243.Keraita, J.N. and Kim, K-H. (2006) ‘A Study on the optimum scheme for determination of operation time of line feeders in automatic combination weighers’, Journal of Mechanical Science and Technology, Vol. 20, No. 10, pp.1567–1575.Keraita, J.N. and Kim, K-H. (2007) ‘A weighing algorithm for multihead weighers’, International Journal of Precision Engineering and Manufacturing, Vol. 8, No. 1, pp.21–26.Liao, C.N. and Kao, H.P. (2010) ‘Supplier selection model using Taguchi loss function, analytical hierarchy process and multi-choice goal programming’, Computers and Industrial Engineering, Vol. 58, No. 4, pp.571–577.Michalewicz, Z. and Fogel, D.B. (2004) How to Solve It: Modern Heuristics, 2nd ed., Springer Science & Business Media, Berlin, Heidelberg.Ministry of Agriculture, Food and Environment (MAFE) (2016) Annual Report of the Spanish Food Industry 2014–2015 Period, Government of Spain.Montgomery, D.C. (2012) Design and Analysis of Experiments, 8th ed., John Wiley & Sons, New York.Pulido-Rojano, A. and García-Díaz, J.C. (2014) ‘Optimization of multihead weighing process using the Taguchi loss function’, in IIE International 8th International Conference on Industrial Engineering and Industrial Management and XX International Conference on Industrial Engineering and Operations Management, Málaga, Spain, pp.305–312.Pulido-Rojano, A. and García-Díaz, J.C. (2016) ‘Analysis of the filling setting in the multihead weighing process’, in Proceedings of the International Joint Conference – CIO-ICIEOM-IIEAIM (IJC 2016), San Sebastián, Spain, pp.521–528.Pulido-Rojano, A., García-Díaz, J.C. and Giner-Bosch, V. (2015) ‘A multiobjective approach for optimization of the multihead weighing process’, in Framinan J.M., Perez P. and Artiba, A. (Eds.): The Road Ahead: Understanding Challenges and Grasping Opportunities in Industrial and Systems Engineering, p.67, IEEE, Spain.Ross, P.J. (1996) Taguchi Techniques for Quality Engineering: Loss Function, Orthogonal Experiments, Parameter and Tolerance Design, 2nd ed., McGraw-Hill, New York.Salicrú, M., González, C. and Barreiro, J.J. (1996) ‘Variability reduction with multiweighing proceedings’, Top, Vol. 4, No. 2, pp.319–329.Sauers, D.G. (1999) ‘Using the Taguchi loss function to reduce common-cause variation’, Quality Engineering, Vol. 12, No. 2, pp.245–252.Taguchi, G. (1990) Introduction to Quality Engineering, Asian Productivity Organization, Tokyo.Pulido-Rojano, A. and García-Díaz, J.C. (2018) ‘Simulación y mejora del proceso de pesaje multicabezal’, (in Spanish) in Proceedings of Décima Séptima Conferencia Iberoamericana en Sistemas, Cibernética e Informática (CISCI 2018), EE.UU, Orlando, Florida, pp.58–63.CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://bonga.unisimon.edu.co/bitstreams/2e66c28c-254d-4cee-b3dd-b3891da319fc/download4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-8381https://bonga.unisimon.edu.co/bitstreams/9534f7a6-f75d-4b71-9836-cf2770e2f019/download733bec43a0bf5ade4d97db708e29b185MD5320.500.12442/4737oai:bonga.unisimon.edu.co:20.500.12442/47372024-08-14 21:53:17.818http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internacionalmetadata.onlyhttps://bonga.unisimon.edu.coRepositorio Digital Universidad Simón Bolívarrepositorio.digital@unisimon.edu.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 |