Implementation of lean manufacturing to increase the machine’s availability of a metalworking company

Descripción del Articulo

The main objective of Lean Manufacturing tools is to eliminate waste from a process in order to make it more efficient. In this applied research with a quantitative approach, the production process of a steel coil cutting machine (Slitter) of a Peruvian metalworking company is analyzed. It can be sa...

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Detalles Bibliográficos
Autores: Cabezas Fulca, Diego Jesús, Muelle Macchiavello, Ismael
Formato: tesis de grado
Fecha de Publicación:2023
Institución:Universidad de Lima
Repositorio:ULIMA-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ulima.edu.pe:20.500.12724/18098
Enlace del recurso:https://hdl.handle.net/20.500.12724/18098
Nivel de acceso:acceso abierto
Materia:Producción eficiente
Maquinaria
Industria metalúrgica
Lean manufacturing
Machinery
Metalworking industries
https://purl.org/pe-repo/ocde/ford#2.11.04
Descripción
Sumario:The main objective of Lean Manufacturing tools is to eliminate waste from a process in order to make it more efficient. In this applied research with a quantitative approach, the production process of a steel coil cutting machine (Slitter) of a Peruvian metalworking company is analyzed. It can be said that the Slitter is indispensable to supply semi-finished products to a steel tube production line. Likewise, improvements are proposed and implemented based on three lean manufacturing tools in order to increase their availability, which hardly exceeds the value of 60%. One of the tools implemented was the single minute exchange of die (SMED), which is aimed at reducing machine preparation times (setup) by reorganizing internal to external activities. Another tool used was Kaizen, which seeks continuous improvement and standardization of processes through simple and concrete actions. Finally, the 5s method was applied to improve the cleanliness and order of the work areas. After these, the time available to produce increased 95.73 hours per month, which means an improvement of 17.36% in machine availability. Also, setup times and operation cycle times were reduced by 16% and 16.35% respectively.
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