“…In order to verify the functionality of the model, scientific articles with similar or equal problems are presented in which opportunities for improvement were identified and the reduction of these times was achieved by making use of the techniques used in this model. In similar cases such as [4] and [17), downtime was reduced by 23% after applying TPM in conjunction with another lean tool. Also, in both cases of studies they are applied in medium-sized companies, but in other manufacturing sectors.…”
Section: Dmentioning
confidence: 99%
“…In [4], a similar case study, Lean tools were used that managed to increase the OEE indicator by 15%. The OEE is a basic maintenance indicator, which will help measure the efficiency of equipment at the beginning and end of implementation.…”
“…Waste such as high unplanned downtime as well as high machine preparation times affect the efficiency of the production line and can bring significant losses for a manufacturing company. Many companies take care of their machinery by adopting Lean Manufacturing strategies, since in a study it is proposed to solve the unplanned downtime due to failure and breakdown, implementing the planned maintenance pillar of the TPM in the press machines of a company located in Ludhiana managing to increase the average production of machines by 15.63% as well as reducing the average machine downtime by 23.14% and increasing the OEE by 17.08% [4]. In another investigation, the high set up times of a footwear company using SMED were solved, reducing the average set up time by 60%, generating savings of up to $40,000 per year for these reduced times and increasing production capacity by 3% [5].…”
The textile sector is one of the most competitive markets globally and nationally, so companies are increasingly aware that they must constantly innovate and eliminate waste such as preparation times for product change, adjustment and unscheduled stoppages.
This waste in the machines causes an increase in the percentage of defective products and efficiency of the line is poor, which generates that companies are forced to reject orders and as a consequence fail to meet the market demand. This research aims to propose a maintenance management model to increase the efficiency of garment manufacturing in textile companies that are affected by unplanned shutdowns and very long set up times that reduce processing times. Likewise, the objective of this research is to increase the production efficiency of medium-sized companies in the textile sector, through a model based on TPM and SMED, which belong to the Lean Manufacturing philosophy and will be developed jointly to reduce unplanned stops due to failures and breakdowns in the machines and reduce high preparation times through standardization.
“…In order to verify the functionality of the model, scientific articles with similar or equal problems are presented in which opportunities for improvement were identified and the reduction of these times was achieved by making use of the techniques used in this model. In similar cases such as [4] and [17), downtime was reduced by 23% after applying TPM in conjunction with another lean tool. Also, in both cases of studies they are applied in medium-sized companies, but in other manufacturing sectors.…”
Section: Dmentioning
confidence: 99%
“…In [4], a similar case study, Lean tools were used that managed to increase the OEE indicator by 15%. The OEE is a basic maintenance indicator, which will help measure the efficiency of equipment at the beginning and end of implementation.…”
“…Waste such as high unplanned downtime as well as high machine preparation times affect the efficiency of the production line and can bring significant losses for a manufacturing company. Many companies take care of their machinery by adopting Lean Manufacturing strategies, since in a study it is proposed to solve the unplanned downtime due to failure and breakdown, implementing the planned maintenance pillar of the TPM in the press machines of a company located in Ludhiana managing to increase the average production of machines by 15.63% as well as reducing the average machine downtime by 23.14% and increasing the OEE by 17.08% [4]. In another investigation, the high set up times of a footwear company using SMED were solved, reducing the average set up time by 60%, generating savings of up to $40,000 per year for these reduced times and increasing production capacity by 3% [5].…”
The textile sector is one of the most competitive markets globally and nationally, so companies are increasingly aware that they must constantly innovate and eliminate waste such as preparation times for product change, adjustment and unscheduled stoppages.
This waste in the machines causes an increase in the percentage of defective products and efficiency of the line is poor, which generates that companies are forced to reject orders and as a consequence fail to meet the market demand. This research aims to propose a maintenance management model to increase the efficiency of garment manufacturing in textile companies that are affected by unplanned shutdowns and very long set up times that reduce processing times. Likewise, the objective of this research is to increase the production efficiency of medium-sized companies in the textile sector, through a model based on TPM and SMED, which belong to the Lean Manufacturing philosophy and will be developed jointly to reduce unplanned stops due to failures and breakdowns in the machines and reduce high preparation times through standardization.
“…Desde entĆ£o, sua aplicaĆ§Ć£o tem sido empregada em diversas pesquisas, como na identificaĆ§Ć£o e eliminaĆ§Ć£o dos desperdĆcios a partir da aplicaĆ§Ć£o de ferramentas lean (Braglia et al, 2020;Purushothaman et al, 2020), na melhora na produtividade total da organizaĆ§Ć£o (Ur Rehman et al, 2020), na anĆ”lise de tempo de processamento e capacidade de produĆ§Ć£o (Liu et al, 2020) e, ainda, indiretamente influenciando o aumento do lucro pela reduĆ§Ć£o de custos .…”
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