Production Model Integrating TOC and Lean for Lead Time Reduction in Chemical Manufacturing: An Empirical Research in Peru

Adrian Tetsuo Lopez-Osorio, Nancy Francesca Vila-Moretti, Alberto Flores-Perez, Juan Quiroz-Flores, Martin Collao-Diaz

Producción científica: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva

Resumen

The chemical industry allows the creation of a wide range of products such as polymers, emulsions, among others. In the world, this sector generates $5.7 billion of the world's Gross Domestic Product (GDP), and in Peru it represents 1% of the national GDP. This article describes the implementation of an integrated system containing the Theory of Constraints (TOC) and Lean Manufacturing (5s and Single Minute Exchange of Die) for the reduction of the lead time in the production process of the RA-401 resin in a chemical SME in Peru. The general problem is analyzed through the Value Stream Mapping tool, where the root causes, the time of each activity, and the incidence of the worker are evidenced. The validation of the developed model was carried out in the stage of filling and labeling of 200 kg resin cylinders through Arena Simulator. The results showed that the processing lead time was reduced by 7.88%, cycle time by 7.94% and productivity was increased by 8.48%.

Idioma originalInglés
Título de la publicación alojadaACM International Conference Proceeding Series
EditorialAssociation for Computing Machinery
Páginas44-49
Número de páginas6
ISBN (versión digital)9781450396059
ISBN (versión impresa)9781450396059
DOI
EstadoPublicada - 12 ene. 2022
Evento9th International Conference on Industrial Engineering and Applications, ICIEA 2022-Europe - Barcelona, Espana
Duración: 12 ene. 202214 ene. 2022

Serie de la publicación

NombreACM International Conference Proceeding Series

Conferencia

Conferencia9th International Conference on Industrial Engineering and Applications, ICIEA 2022-Europe
País/TerritorioEspana
CiudadBarcelona
Período12/01/2214/01/22

COAR

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