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![Description of the tire manufacturing process [21].](publication/343864646/figure/fig4/AS:928597510455301@1598406307184/Description-of-the-tire-manufacturing-process-21.png)
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![Figure 4. Description of the tire manufacturing process [21].](publication/343864646/figure/fig4/AS:928597510455301@1598406307184/Description-of-the-tire-manufacturing-process-21_Q320.jpg)
In this study, the production efficiency of a company’s manufacturing flow decreased, and therefore specific improvement actions on the tire manufacturing process were implemented. Additionally, the process improvement plan started with a deeper understanding of the activities, by using the SIPOC method (suppliers, inputs, process, outputs, custome...
Context in source publication
Context 1
... representation reveals the inputs and the outputs for each stage of the process and the associated internal suppliers and customers. In connection to Figure 3, in Figure 4, the tire manufacturing process is presented. The two main ingredients of the tire are natural rubber and synthetic rubber. ...
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Citations
... It aims to generate productivity improvements through the creation and maintenance of clean and well-organized work areas. The 5S is mainly used as a tool for organization [10] [11] [12], and has proven to be effective in establishing procedures [11] and reducing returns caused by the presence of contaminants and bad practices. Some authors state that training is a necessary complement to be able to correctly implement 5S and should be carried out prior to or during implementation [10] [12]. ...
... Some authors state that training is a necessary complement to be able to correctly implement 5S and should be carried out prior to or during implementation [10] [12]. However, it is also mentioned that training should be conducted after implementation in order to maintain the results and achieve continuous improvement [11]. The 5S tool has proven to be useful in optimizing storage space [12], reducing time [11], increasing the productivity of the picking process [10], reducing distances traveled [12], etc. ...
... However, it is also mentioned that training should be conducted after implementation in order to maintain the results and achieve continuous improvement [11]. The 5S tool has proven to be useful in optimizing storage space [12], reducing time [11], increasing the productivity of the picking process [10], reducing distances traveled [12], etc. ...
... The process stages were identified using the improvement strategy, which monitored the processes. To map processes and discover interprocess connections, the SIPOC tool was used (Stîngă, Severin, Mitrache, & Lascu, 2020). Notably, the frequency of all defects decreased. ...
Basic quality seven tools help any organizations to improve their capability and process to fit into update situation and condition base on optimum choice they can select, in first step data need to be collected over the time upon agreed to get baseline data, as a visually how often data will emerge is a important also to compile it into some interactive graph of variations, if there any analysis can made and resulted as a listed problem occur from process have been finished, we can grade it as well to see which one impactful to our process and will be the top priority to improve, and this paper is targetted to see is the seven tools of quality is the comprehensive tools that can figured out any result that bridge us to varius group of result and easy to determine any conclution to make improvement for future plan tahat create continuous significant optimization to sustainability process to help any industry acheive a good analysis to growth over the years to come.
... The process stages were identified using the improvement strategy, which monitored the processes. To map processes and discover interprocess connections, the SIPOC tool was used (Stîngă, Severin, Mitrache, & Lascu, 2020). Notably, the frequency of all defects decreased. ...
Seven tools
Pareto diagram
Cause effect
Histogram
Control chart
... The process stages were identified using the improvement strategy, which monitored the processes. To map processes and discover interprocess connections, the SIPOC tool was used (Stîngă, Severin, Mitrache, & Lascu, 2020). Notably, the frequency of all defects decreased. ...
Basic quality seven tools help any organizations to improve
their capability and process to fit into update situation and
condition base on optimum choice they can select, in first
step data need to be collected over the time upon agreed to
get baseline data, as a visually how often data will emerge
is a important also to compile it into some interactive graph
of variations, if there any analysis can made and resulted as
a listed problem occur from process have been finished, we
can grade it as well to see which one impactful to our process
and will be the top priority to improve, and this paper is
targetted to see is the seven tools of quality is the
comprehensive tools that can figured out any result that
bridge us to varius group of result and easy to determine any
conclution to make improvement for future plan tahat create
continuous significant optimization to sustainability process
to help any industry acheive a good analysis to growth over
the years to come.
... The sustainability strategy [15] in this case involves the appropriate improvement of climatic conditions of a vehicle and the prevention of any risk in order to create a safer journey for passengers [16]. ...
The automotive industry has set a highly demanding standard to meet customer satisfaction. The paper aimed to detail how quality analysis has been conducted to state the main causes that generated nonconformities of heat, ventilation and air conditioning (HVAC) systems. Problems have been reported on HVAC systems, such as noise, not being cold enough and moldy smell issues. All three problems determined by customer reports initiated the first contribution of this paper, namely by an initial quality study, and generated the investigation using is/is not problem scoping, data analysis, and graphical analysis. Pareto analysis and the Plan, Do, Check and Act (PDCA) approach are used to highlight the traceability of the actions performed in the evaluation of the problems and the detection of the causes related to each problem. The data analysis process and the data obtained from the analysis are the core of this paper. An immediate action plan is proposed, concluding with the hypothesis that the root cause is the blockage of the heater. This methodology has significant potential for being implemented, even for other components in the same industry or different sectors.
... Several researchers documented the results of their research, the increase in excellent process capability [11][12][13], and a significant decrease in the defect rate [14,15]. Not only in the quality scope, but DMAIC is also able to increase productivity [16] with the Overall Equipment Effectiveness (OEE) indicator increasing from 87% to 92.3% [8,16], and a significant annual saving quality expense [17,18]. ...
... Several researchers documented the results of their research, the increase in excellent process capability [11][12][13], and a significant decrease in the defect rate [14,15]. Not only in the quality scope, but DMAIC is also able to increase productivity [16] with the Overall Equipment Effectiveness (OEE) indicator increasing from 87% to 92.3% [8,16], and a significant annual saving quality expense [17,18]. ...
In line with the increasingly fierce industry competition, all companies strive to make continuous improvements to increase added value and reduce waste which will impact the company's ability to maintain its existence in the future. One of the problems found in the tire manufacturing industry is the quality problem of the occurrence of defects in the mixing process which is dominated by the viscosity out standard on the compound steel breaker. In this study, analysis and improvement of the defect problem were carried out using Fault Tree Analysis (FTA), Failure Mode and Effect Analysis (FMEA), and Multiple Linear Regression (MLR) to test the correlation between the root causes found to the main problem. Based on the results of the analysis found thirteen root causes where the factor of variation in material viscosity and the suitability of determining the design process has the largest Risk Priority Number (RPN) value and has a strong correlation to defects that occur based on hypothesis testing. Furthermore, improvements are made using the DMAIC method on all factors that affect the occurrence of defects. As the result, the improvement can be effective in reducing the defect to 34.5% and achieve the expected target.
... Several researchers documented the results of their research, the increase in excellent process capability [11][12][13], and a significant decrease in the defect rate [14] [15]. Not only in the quality scope, but DMAIC is also able to increase productivity [16] with the Overall Equipment Effectiveness (OEE) indicator increasing from 87% to 92.3% [8], and a significant annual saving quality expense [17] [18]. ...
To prove the effect of these variables on the defects that occur, an analysis was carried out using multiple linear regression using the R Studio Version 1.4.1717 software. In this study, hypothesis testing will be carried out on three independent variables, including variations in the viscosity of natural rubber (𝑋1 = A) as the main ingredient component, mixing time (𝑋2 =B) and the number of process stages (𝑋3 =C) that affects the variation of the viscosity compound (Y) as the dependent variable. Therefore, to calculate the coefficient 𝛽𝑖 of multiples of regression equation model, all variables show a strong correlation, collinearity test is also done by checking the tolerance and variance inflation factor (VIF). VIF is the reciprocal of tolerance, a value exceeding 10 (or less than 0.1 for tolerance) is considered a multi-collinearity signal, as shown in Table III. In Figure 6 for the correlation test, it is also seen that all independent variables have a strong correlation to the dependent variable. Using the coefficients of the Estimate column of Table III, the multiple regression model equation final is
𝑌 = 0.5735 − 1.0205𝐴 + 2.0089𝐵 + 1.0464𝐶 (2)
Or
𝑌 = 0.5735 − 1.0205𝑋1 +2.0089𝑋2 + 1.0464𝑋3 (3)
... Several researchers documented the results of their research, the increase in excellent process capability [11][12][13], and a significant decrease in the defect rate [14] [15]. Not only in the quality scope, but DMAIC is also able to increase productivity [16] with the Overall Equipment Effectiveness (OEE) indicator increasing from 87% to 92.3% [8], and a significant annual saving quality expense [17] [18]. ...
Abstract: In line with the increasingly fierce industry competition, all companies strive to make continuous improvements to increase added value and reduce waste which will impact the company's ability to maintain its existence in the future. One of the problems found in the tire manufacturing industry is the quality problem of the occurrence of defects in the mixing process which is dominated by the viscosity out standard on the compound steel breaker. In this study, analysis and improvement of the defect problem were carried out using Fault Tree Analysis (FTA), Failure Mode and Effect Analysis (FMEA), and Multiple Linear Regression (MLR) to test the correlation between the root causes found to the main problem. Based on the results of the analysis found seven root causes where the factor of variation in material viscosity and the suitability of determining the design process has the largest Risk Priority Number (RPN) value and has a strong correlation to defects that occur based on hypothesis testing. Furthermore, improvements are made using the DMAIC method on all factors that affect the occurrence of defects. As the result, the improvement can be effective in reducing the defect to 34.5% and achieve the expected target.
