A Novel Dynamic and Fuzzy Value Stream Mapping (DFVSM): System Dynamics and Fuzzy Logic Integration
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Universidad Nacional de Colombia
2021
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| _version_ | 1876437917111418880 |
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| author | Roberto Baeza-Serrato |
| author_facet | Roberto Baeza-Serrato |
| contents | A Novel Dynamic and Fuzzy Value Stream Mapping (DFVSM): System Dynamics and Fuzzy Logic Integration Roberto Baeza-Serrato Ingeniería fuzzy system system dynamic Value stream mapping normal probability density 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. 2021 artículo científico 0120-5609 https://www.redalyc.org/articulo.oa?id=64379873003 https://www.redalyc.org/journal/643/64379873003/ https://www.redalyc.org/journal/643/64379873003/html/ https://www.redalyc.org/journal/643/64379873003/64379873003.epub https://www.redalyc.org/journal/643/64379873003/movil 10.15446/ing.investig.v41n2.84539 en http://www.redalyc.org/revista.oa?id=643 Ingeniería e Investigación application/pdf Universidad Nacional de Colombia Ingeniería e Investigación (Colombia) Num.2 Vol.41 |
| format | Artículo científico |
| id | redalyc_64379873003 |
| institution | Redalyc |
| language | en |
| publishDate | 2021 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | A Novel Dynamic and Fuzzy Value Stream Mapping (DFVSM): System Dynamics and Fuzzy Logic Integration Roberto Baeza-Serrato Ingeniería fuzzy system system dynamic Value stream mapping normal probability density A Novel Dynamic and Fuzzy Value Stream Mapping (DFVSM): System Dynamics and Fuzzy Logic Integration Roberto Baeza-Serrato Ingeniería fuzzy system system dynamic Value stream mapping normal probability density 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. 2021 artículo científico 0120-5609 https://www.redalyc.org/articulo.oa?id=64379873003 https://www.redalyc.org/journal/643/64379873003/ https://www.redalyc.org/journal/643/64379873003/html/ https://www.redalyc.org/journal/643/64379873003/64379873003.epub https://www.redalyc.org/journal/643/64379873003/movil 10.15446/ing.investig.v41n2.84539 en http://www.redalyc.org/revista.oa?id=643 Ingeniería e Investigación application/pdf Universidad Nacional de Colombia Ingeniería e Investigación (Colombia) Num.2 Vol.41 |
| title | A Novel Dynamic and Fuzzy Value Stream Mapping (DFVSM): System Dynamics and Fuzzy Logic Integration |
| topic | Ingeniería fuzzy system system dynamic Value stream mapping normal probability density |
| url | https://www.redalyc.org/articulo.oa?id=64379873003 https://www.redalyc.org/journal/643/64379873003/ https://www.redalyc.org/journal/643/64379873003/html/ https://www.redalyc.org/journal/643/64379873003/64379873003.epub https://www.redalyc.org/journal/643/64379873003/movil |