Published
A Novel Dynamic and Fuzzy Value Stream Mapping (DFVSM): System Dynamics and Fuzzy Logic Integration
Un novedoso Value Stream Mapping dinámico y difuso (DFVSM): integración de dinámica de sistemas y lógica difusa
DOI:
https://doi.org/10.15446/ing.investig.v41n2.84539Keywords:
value stream mapping, system dynamic, fuzzy system, normal probability density (en)Mapa de flujo de valor, Dinámica de sistemas, Sistema difuso, densidad de probabilidad normal. (es)
Value stream mapping (VSM) is a method to identify waste and activities that do not add value. One of its main disadvantages is that the parameters used in the process and material flows are deterministic. The motivation of this research is to improve the reliability of the estimation of the lead time in VSM, transitioning from a static model to a dynamic model that incorporates uncertainty and imprecision in the data, as well as to develop a novel dynamic and fuzzy value stream mapping (DFVSM) based on integrating system dynamics and fuzzy logic. One of the main contributions of this research is to develop a fuzzy system in the same system dynamics interface that incorporates uncertainty and vagueness to the efficiency and effectiveness percentage variable (OEE%) to increase the reliability of the delivery time planning. The stages of DFVSM are explicitly described and applied to real data for a textile company in southern Guanajuato. A sensitivity analysis of the proposed model was integrated which identifies the critical factors for the delivery of the order, and achievable times were proposed for the delivery times of the supplier and the client, thus reducing the expected delivery time by 28%. One of the relevant conclusions of this work is that, to plan the lead time of an order, the uncertainty of the main parameters such as supplier and customer shipping times be considered to satisfy the customer.
El mapeo de flujo de valor (MFV) es un método para identificar desperdicios y actividades que no agregan valor. Una de sus principales desventajas es que los parámetros utilizados en el proceso y los flujos de material son deterministas. La motivación de esta investigación es mejorar la confiabilidad de la estimación del tiempo de entrega en un MFV, transicionando de un modelo estático a un modelo dinámico que incorpora la incertidumbre e imprecisión de los datos; así como desarrollar un nuevo mapeo dinámico y difuso de flujo de valor (DFSVSM) basado en la integración de la dinámica de sistemas y la lógica difusa. Una de las principales contribuciones de esta investigación es desarrollar un sistema difuso en la misma interfaz de dinámica de sistemas que incorpore incertidumbre y vaguedad en la variable porcentaje de eficiencia y eficacia (OEE %) para aumentar la confiabilidad de la planificación del tiempo de entrega. Este sistema se describe explícitamente y se aplica a datos reales para una empresa textil del sur de Guanajuato. Se integró un análisis de sensibilidad identificando los factores críticos para la entrega del pedido y se propusieron tiempos de entrega alcanzables para el proveedor y el cliente, reduciendo el tiempo esperado en un 28 %. Una de las conclusiones relevantes de este trabajo es que, para planificar el tiempo de entrega de un pedido, se debe considerar la incertidumbre de parámetros como los tiempos de envío del proveedor y al cliente para poder satisfacer al cliente.
References
Arsenyan, J. and Büyüközkan G. (2016). An integrated fuzzy approach for information technology planning in collaborative product development. International Journal of Production Research, 54, 3149-3169. https://doi.org/10.1080/00207543.2015.1043032
Babader, A., Ren, J., Jones, K., and Wang, J. (2016). A system dynamics approach for enhancing social behaviours regarding there use of packaging. Expert Systems with Applications, 46, 417-425. https://doi.org/10.1016/j.eswa.2015.10.025
Baeza-Serrato, R. (2016). REDUTEX: a hybrid push–pull production system approach for reliable delivery time in knitting SMEs. Production Planning and Control, 27(4), 263-279. https://doi.org/10.1080/09537287.2015.1120362
Baeza-Serrato, R. (2018). Stochastic plans in SMEs: A novel multidimensional fuzzy logic system (mFLS) approach. Ingeniería e investigación, 38 (2), 70-78. http://dx.doi.org/10.15446/ing.investig.v38n2.65357
Balaji, V.,Venkumar, P., Sabitha, M. S., and Amuthaguka, D. (2020). DVSMS: dynamic value stream mapping solution by applying IIoT. Sadhana, 45(38), 263-279. https://doi.org/10.1007/s12046-019-1251-5
Bin, N., Petersen, K., and Schneider, K. (2016). FLOW-assisted value stream mapping in the early phases of large-scale software development. The Journal of Systems and Software, 111, 213-227. https://doi.org/10.1016/j.jss.2015.10.013
Bocklisch, F. and Hausmann, D. (2018). Multidimensional fuzzy pattern classifier sequences for medical diagnostic reasoning. Applied Soft Computing, 66, 297-310. https://doi.org/10.1016/j.asoc.2018.02.041
Cardiel, J., Baeza-Serrato, R., and Lizárraga, R. (2017). Development of a system dynamics model based on six sigma methodology. Ingeniería e investigación, 37(1), 80-90. http://dx.doi.org/10.15446/ing.investig.v37n1.62270
Darvish Falehi, A. (2020) Robust and Intelligent Type-2 Fuzzy Fractional-Order Controller-Based Automatic Generation Control to Enhance the Damping Performance of Multi-Machine Power Systems, IETE Journal of Research. https://doi.org/10.1080/03772063.2020.1719908
Gao, W., Hong, B., Swaney, D. P., Howarth, R. W., and Guo, H. (2016). A system dynamics model for managing regional N inputs from human activities. Ecological Modelling, 322, 82-91. https://doi.org/10.1016/j.ecolmodel.2015.12.001
Fu, X. and Chen, T. (2017). Research on supply chain partner selection and task allocation based on fuzzy theory under an uncertain environment. Ingeniería e investigación, 38(1), 83-95. https://doi.org/10.15446/ing.investig.v38n1.64675
Kavanagh, A. and Donnelly, J. (2020). Lean approach to improve medication administration safety by reducing distractions and interruptions. Journal of nursing care quality, 35(4), E58-E62. https://doi.org/10.1097/NCQ.0000000000000473
Keykavoussi, A. and Ebrahimi, A. . (2020). Using fuzzy cost–time profile for effective implementation of lean programmes; SAIPA automotive manufacturer, case study. Total Quality Management & Business Excellence, 31(13-14), 1519-1543. https://doi.org/10.1080/14783363.2018.1490639
Lagos, D., Mancilla, R., Leal, P., and Fox, F. (2019). Performance measurement of a solution for the travelling salesman problem for routing through the incorporation of service time variability. Ingeniería e investigación, 39(3), 44-49. https://doi.org/10.15446/ing.investig.v39n3.81161
Langroodi, R. R. P. and Amiri, M. (2016). A system dynamics modeling approach for a multi-level, multi-product, multi-region supply chain under demand uncertainty. Expert Systems With Applications, 51, 231-244. https://doi.org/10.1016/j.eswa.2015.12.043
Liu, Q. and Yang, H. (2020). Incorporating Variability in Lean Manufacturing: A Fuzzy Value Stream Mapping Approach. Mathematical Problems in Engineering, 2020, 1347054. https://doi.org/10.1155/2020/1347054
Ōno, T. (1988). Toyota Production System: Beyond Large-Scale Production. New York, NY: Productivity Press.
Pasaoglu, G., Harrison, G., Jones, L., Hill, A., Beaudet, A., and Thiel, C. (2016). A system dynamics based market agent model simulating future powertrain technology transition: Scenarios in the EU light duty vehicle road transport sector. Technological Forecasting & Social Change, 104, 133-146. https://doi.org/10.1016/j.techfore.2015.11.028
Preuss, L., G., Luz T., G., Narayanamurthy, G., Gaiardelli, P., and Sawhney, R. (2021). A systematic literature review on the stochastic analysis of value streams, Production Planning & Control, 32(2), 121-131. https://doi.org/10.1080/09537287.2020.1713414
Ricciardi, F., De Bernardi, P., and Cantino, V. (2020). System dynamics modelling as a circular process: The smart commons approach to impact management, Technological Forecasting & Social Change, 151, 119799. https://doi.org/10.1016/j.techfore.2019.119799
Rodríguez, V., Cervera, A., López, L.., and Pérez-Fernández, V. (2020). Lean thinking to foster the transition from traditional logistics to the physical internet, Sustainability, 12(15), 6053. https://doi.org/10.3390/su12156053
Sadiq, S., Saad, M., Zeeshan, M.., Hussain, S., Yasmeen, U., and Aámir, M. (2021). An integrated framework for lean manufacturing in relation with blue ocean manufacturing – A case study, Journal of Cleaner Production, 279, 123790. https://doi.org/10.1016/j.jclepro.2020.123790
Salvador, R., Vetroni, M., Tagliaferro dos Santos, G., Godoi, K., Moro, C., and de Francisco, A. C. (2020). Towards a green and fast production system: integrating life cycle assessment and value stream mapping for decision making, Environmental Impact Assessment Review, 87, 106519. https://doi.org/10.1016/j.eiar.2020.106519
Sposito, L. and Santos, A. C. (2020). Lean 4.0: A new holistic approach for the integration of lean manufacturing tools and digital technologies. International Journal of Mathematical, Engineering and Management Sciences, 5(5), 851-868, https://doi.org/10.33889/IJMEMS.2020.5.5.066
Sullivan, W. G., McDonald, T. N., and Aken, E. M. (2002). Equipment replacement decisions and lean manufacturing. Robotics and Computer-Integrated Manufacturing, 18(3-4), 255-265. https://doi.org/10.1016/S0736-5845(02)00016-9
Tyagi, S., Choudhary, A., Cai, X., and Yang, K. (2015). Value stream mapping to reduce the lead-time of a product development process. International Journal of Production Economics, 160, 202-212. https://doi.org/10.1016/j.ijpe.2014.11.002
Wang, P., Wu, P., Chi, H-L., and Li, X. (2020). Adopting lean thinking in virtual reality based personalized operation training using value stream mapping. Automation in Construction, 119, 103355. https://doi.org/10.1016/j.autcon.2020.103355
Dimensions
PlumX
Article abstract page views
Downloads
How to Cite
License
Copyright (c) 2021 Roberto Baeza Serrato
This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors or holders of the copyright for each article hereby confer exclusive, limited and free authorization on the Universidad Nacional de Colombia's journal Ingeniería e Investigación concerning the aforementioned article which, once it has been evaluated and approved, will be submitted for publication, in line with the following items:
1. The version which has been corrected according to the evaluators' suggestions will be remitted and it will be made clear whether the aforementioned article is an unedited document regarding which the rights to be authorized are held and total responsibility will be assumed by the authors for the content of the work being submitted to Ingeniería e Investigación, the Universidad Nacional de Colombia and third-parties;
2. The authorization conferred on the journal will come into force from the date on which it is included in the respective volume and issue of Ingeniería e Investigación in the Open Journal Systems and on the journal's main page (https://revistas.unal.edu.co/index.php/ingeinv), as well as in different databases and indices in which the publication is indexed;
3. The authors authorize the Universidad Nacional de Colombia's journal Ingeniería e Investigación to publish the document in whatever required format (printed, digital, electronic or whatsoever known or yet to be discovered form) and authorize Ingeniería e Investigación to include the work in any indices and/or search engines deemed necessary for promoting its diffusion;
4. The authors accept that such authorization is given free of charge and they, therefore, waive any right to receive remuneration from the publication, distribution, public communication and any use whatsoever referred to in the terms of this authorization.
