Impacto de la Enseñanza del Análisis del Sistema de Medición (MSA) y el Rol de la Educación Psicológica: Una Revisión Sistemática de la Literatura.
Resumen
Este artículo discute el Análisis del Sistema de Medición (MSA) en la industria maquiladora, el impacto del entrenamiento en esta técnica y el factor psicológico en dicho análisis. Se aplica una metodología combinada que incluye una búsqueda estructurada de literatura. Los datos muestran que hay ocho componentes cruciales para el éxito en la implementación del MSA, incluyendo la capacitación como piedra angular, donde la educación psicológica promueve la mejora continua y la responsabilidad. Este estudio ayuda a comprender la motivación y el comportamiento organizacional, ayuda a las personas a ser más dedicadas, y acepta la responsabilidad de medir la calidad y descubrir las causas de la variación y el error. Finalmente, tres aplicaciones en diferentes industrias demuestran sus beneficios.
Citas
Alshukur, M. (2023). Optimising the manufacturing process and product design using the design of experiment method: the case of fancy bouclé yarns. International Journal of Quality Engineering and Technology, 9(2), 145–160. https://doi.org/10.1504/ijqet.2023.131550
Ansari, M. S. A. (2022). Lean Six Sigma in Healthcare: some sobering thoughts on implementation. Proceedings on Engineering Sciences, 4(4), 457–468. https://doi.org/10.24874/PES04.04.007
Arrigo, R., Battegazzore, D., Bernagozzi, G., Cravero, F., Ribero Pedraza, D. N., & Frache, A. (2022). Recycled PP for 3D Printing: Material and Processing Optimization through Design of Experiment. Applied Sciences (Switzerland), 12(21). https://doi.org/10.3390/app122110840
Avila-Sanchez, M., & Cuautle-Gutiérrez, L. (2020). Knowledge variation in design of experiments between students and engineers working at industries from a private institution in Puebla, México. Proceedings of the 2016 Industrial and Systems Engineering Research Conference, ISERC 2016, 77– 82. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084079891&partnerID=40&md5=7afb8365d925977aa07d9fa8dd906e1e
Bayat, H. (2018). Expected Long-Term Defect Rate of Analytical Performance in the Medical Laboratory: Assured Sigma Versus Observed Sigma. Biochemia Medica, 28(2). https://doi.org/10.11613/bm.2018.020101
Bramerdorfer, G. (2020). Multiobjective Electric Machine Optimization for Highest Reliability Demands. CES Transactions on Electrical Machines and Systems, 4(2), 71–78. https://doi.org/10.30941/CESTEMS.2020.00011
Braun, D., Ganor, Y. I., Samuha, S., Guttmann, G. M., Chonin, M., Frage, N., Hayun, S., & Tiferet, E. (2022). A Design of Experiment Approach for Development of Electron Beam Powder Bed Fusion Process Parameters and Improvement of Ti-6Al-4V As-Built Properties. Journal of Manufacturing and Materials Processing, 6(4). https://doi.org/10.3390/jmmp6040090
Chen, K.-S., & Yu, C.-M. (2022). Fuzzy decision-making model for process quality improvement of machine tool industry chain. Journal of Intelligent and Fuzzy Systems, 42(3), 1547–1558. https://doi.org/10.3233/JIFS-210868
Coşkun, A., Serteser, M., & Ünsal, İ. (2019). The Short Story of the Long-Term Sigma Metric: Shift Cannot Be Treated as a Linear Parameter. Clinical Chemistry and Laboratory Medicine (Cclm), 57(9), e211–e213. https://doi.org/10.1515/cclm-2018-1139
Dweiri, F., & Ishaq, S. (2020). Cable insulation productivity improvement using Lean Six Sigma. International Journal of Productivity and Quality Management, 30(4), 488–508. https://doi.org/10.1504/IJPQM.2020.108573
Farrukh, A., Mathrani, S., & Sajjad, A. (2023). An exploratory study of green-lean-six sigma motivators for environmental sustainability: Managerial insights from a developed and developing economy. Business Strategy and the Environment, 32(8), 5187–5210. https://doi.org/10.1002/bse.3412
González Ruiz, J. A., Blanco, N., & Gascons, M. (2022). Enhancing process performance for composite padel racket manufacture using Six Sigma-DMAIC and VSM synergetic support. Cogent Engineering, 9(1). https://doi.org/10.1080/23311916.2022.2084982
González-Cebrián, A., Hermenegildo, M., Climente, M., & Ferrer, A. (2022). Multivariate Six Sigma: A case study in an outpatient pharmaceutical care unit. Quality Engineering, 34(2), 277–289. https://doi.org/10.1080/08982112.2022.2042018
Hidalgo, M. F. V, Apachitei, G., Dogaru, D., Faraji-Niri, M., Lain, M., Copley, M., & Marco, J. (2023). Design of experiments for optimizing the calendering process in Li-ion battery manufacturing. Journal of Power Sources, 573. https://doi.org/10.1016/j.jpowsour.2023.233091
Ialongo, C., & Bernardini, S. (2018). Long Story Short: An Introduction to the Short-Term and Longterm Six Sigma Quality and Its Importance in Laboratory Medicine for the Management of Extra-Analytical Processes. Clinical Chemistry and Laboratory Medicine (Cclm), 56(11), 1838– 1845. https://doi.org/10.1515/cclm-2018-0310
Jang, J., & Kim, C. O. (2022). Unstructured borderline self-organizing map: Learning highly imbalanced, high-dimensional datasets for fault detection. Expert Systems with Applications, 188. https://doi.org/10.1016/j.eswa.2021.116028
Jiang, S.-J., Dong, T.-K., Dai, W.-B., & Zhan, M. (2022). Theoretical and Experimental Study on Tensile Properties of Fused Filament Fabrication Thin Plates. Dongbei Daxue Xuebao/Journal of Northeastern University, 43(1), 65–70. https://doi.org/https://doi.org/10.12068/j.issn.1005-3026.2022.01.009
Kamble, S. S., Gunasekaran, A., Ghadge, A., & Raut, R. (2020). A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs-A review and empirical investigation. International Journal of Production Economics, 229, 107853.
Khanzode, A. G., Sarma, P. R. S., & Goswami, M. (2023). Modelling interactions of select enablers of Lean Six-Sigma considering sustainability implications: an integrated circular economy and Industry 4.0 perspective. Production Planning and Control, 34(10), 1020–1036. https://doi.org/10.1080/09537287.2021.1980908
Khorshid, S., Goffi, R., Maurizii, G., Benedetti, S., Sotgiu, G., Zamboni, R., Buoso, S., Galuppi, R., Bordoni, T., Tiboni, M., Aluigi, A., & Casettari, L. (2023). Microfluidic manufacturing of tioconazole loaded keratin nanocarriers: Development and optimization by design of experiments. International Journal of Pharmaceutics, 647. https://doi.org/10.1016/j.ijpharm.2023.123489
Krstovski, S., & Alwerfalli, D. (2022). A BLENDED APPROACH OF LEAN SIX SIGMA AND TRIZ TO DISCOVER AN OPTIMAL LEVEL FOR EMPLOYEE EMPOWERMENT IN PURCHASING INDUSTRIAL MATERIALS. International Journal for Quality Research, 16(3), 905–916. https://doi.org/10.24874/IJQR16.03-17
Lim, M. K., Lai, M., Wang, C., & Lee, S. Y. (2022). Circular economy to ensure production operational sustainability: A green-lean approach. Sustainable Production and Consumption, 30, 130–144. https://doi.org/10.1016/j.spc.2021.12.001
Maaze, M. R., & Shrivastava, S. (2023). Design development of coal-based fly ash geopolymer brick using orthogonal array design of experiment. International Journal of Coal Preparation and Utilization. https://doi.org/10.1080/19392699.2023.2270922
Mabokela, M. M., Sukdeo, N. I., & Akilimalissiga, S. (2023). The Use of Quality Control Tools for Continuous Improvement: A Perspective of The Manufacturing Industry. Proceedings of the 29th International Conference on Engineering, Technology, and Innovation: Shaping the Future, ICE 2023. https://doi.org/10.1109/ICE/ITMC58018.2023.10332376
Makwana, A. D., & Patange, G. S. (2022). Strategic implementation of 5S and its effect on productivity of plastic machinery manufacturing company. Australian Journal of Mechanical Engineering, 20(1), 111–120. https://doi.org/10.1080/14484846.2019.1676112
Naeemah, A. J., & Wong, K. Y. (2022). Positive impacts of lean manufacturing tools on sustainability aspects: a systematic review. Journal of Industrial and Production Engineering, 39(7), 552–571. https://doi.org/10.1080/21681015.2022.2041742
Phadke, A., & Amin, P. (2023). Orally Disintegrating Film of High-Dose BCS II Drug by Hot Melt Extrusion through Design of Experiment. Journal of Pharmaceutical Innovation, 18(1), 247–261. https://doi.org/10.1007/s12247-022-09631-3
Psarommatis, F., Sousa, J., Mendonça, J. P., & Kiritsis, D. (2022). Zero-defect manufacturing the approach for higher manufacturing sustainability in the era of industry 4.0: a position paper. International Journal of Production Research, 60(1), 73–91. https://doi.org/10.1080/00207543.2021.1987551
Rebollo, R., Oyoun, F., Corvis, Y., El-Hammadi, M. M., Saubamea, B., Andrieux, K., Mignet, N., & Alhareth, K. (2022). Microfluidic Manufacturing of Liposomes: Development and Optimization by Design of Experiment and Machine Learning. ACS Applied Materials and Interfaces, 14(35), 39736– 39745. https://doi.org/10.1021/acsami.2c06627
Romero, D., Gaiardelli, P., Powell, D. J., & Zanchi, M. (2022). Intelligent Poka-Yokes: Error- Proofing and Continuous Improvement in the Digital Lean Manufacturing World. IFIP Advances in Information and Communication Technology, 664 IFIP, 595–603. https://doi.org/10.1007/978-3-031-16411-8_68
Sánchez-Rebull, M.-V., Niñerola, A., Ferrer-Rullan, R., & Hernández-Lara, A.-B. (2022). Six Sigma for workplace safety improvement: improving hazards and unsafe conditions in a metallic packaging manufacturing company. International Journal of Occupational Safety and Ergonomics, 28(2), 766– 778. https://doi.org/10.1080/10803548.2020.1829318
Saupi, A. A., & Midi, H. (2021). Outlier Detection Method in Crossed Gage Repeatability and Reproducibility (R&R) Random Effect Model. Malaysian Journal of Mathematical Sciences, 15(3), 333–345. https://doi.org/https://doi.org/10.1080/02664763.2021.1911965
Shirodkar, A., & Rane, S. (2021). Evaluation of coordinate measuring machine using gage repeatability & reproducibility. International Journal of System Assurance Engineering and Management, 12(1), 84–90.
Singh, D. P., Dwivedi, V. K., & Agarwal, M. (2023). Impact of reinforcement proportions on mechanical properties and micro-structure of modified Al2O3-LM6 cast composites synthesize at self-pouring temperature: optimization through mixture design of experiment (DoE). World Journal of Engineering. https://doi.org/10.1108/WJE-06-2023-0156
Sumasto, F., Nugroho, Y. A., Purwojatmiko, B. H., Wirandi, M., Imansuri, F., & Aisyah, S. (2023). Implementation of measurement system analysis to reduce measurement process failures on Part Reinf BK6. Indonesian Journal of Industrial Engineering & Management.
Tosun, T., & Tosun, M. (2020). Heat exchanger optimization of a domestic refrigerator with separate cooling circuits. Applied Thermal Engineering, 168. https://doi.org/10.1016/j.applthermaleng.2019.114810
Tsang, Y. P., Wu, C. H., Lin, K.-Y., Tse, Y. K., Ho, G. T. S., & Lee, C. K. M. (2022). Unlocking the power of big data analytics in new product development: An intelligent product design framework in the furniture industry. Journal of Manufacturing Systems, 62, 777–791. https://doi.org/https://doi.org/10.1016/j.jmsy.2021.02.003
Varadı, Z., & Szılagyı, G. A. (2023). Applicability of a Gage R&R Study on a Home Blood Glucose Meter. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 23, 292–299.
Vinayagasundaram, R., Gowtham, S., Guruvignesh, M., & Jeyaram, R. (2022). Lean production as a tool for Sustainability using Six-Sigma and VSM framework in manufacturing industry. 2022 2nd International Conference on Computer Science, Engineering and Applications, ICCSEA 2022. https://doi.org/10.1109/ICCSEA54677.2022.9936119
Virmani, N., & Salve, U. R. (2022). Assessment of human and system related barriers during implementation of green leagile Six Sigma in Indian manufacturing industries. International Journal of Industrial and Systems Engineering, 40(2), 157–180. https://doi.org/https://doi.org/10.1504/IJISE.2022.121044
Wang, H., Chen, K., Lin, B., Kou, J., Li, L., Wu, S., Liao, S., Sun, G., Pu, J., Yang, H., & Wang, Z. (2022). Process Development and Optimization of Linagliptin Aided by the Design of Experiments (DoE). Organic Process Research and Development, 26(12), 3254–3264. https://doi.org/10.1021/acs.oprd.2c00230
Wassan, R. K., Hulio, Z. H., Gopang, M. A., Sarwar, U., Akbar, A., & Kaka, S. (2022). Practical application of Six Sigma Methodology to reduce defects in a Pakistani Manufacturing Company. Journal of Applied Engineering Science, 20(2), 552–561. https://doi.org/https:/doi.org/10.5937/jaes0-34558
Young, D., Vondrasek, B., & Czabaj, M. W. (2023). Machine learning guided design of experiments to accelerate exploration of a material extrusion process parameter space. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-023-02255-5
Zeng, Y., Peng, S., Meng, L., & Huang, H. (2022). Establishment of Risk Quality Control Charts Based on Risk Management Strategies. Annals of Clinical Biochemistry International Journal of Laboratory Medicine, 59(4), 288–295. https://doi.org/10.1177/00045632221086468
Zhong, Y., Fan, X.-H., & Li, Z.-H. (2023). Lean strategy for data mining and continuous improvement of Chinese pharmaceutical process: a case study of sporoderm-removal Ganoderma lucidum spore powder. Zhongguo Zhong Yao Za Zhi = Zhongguo Zhongyao Zazhi = China Journal of Chinese Materia Medica, 48(3), 829–834. https://doi.org/10.19540/j.cnki.cjcmm.20221108.301
