Continuous Improvement in a Production Line

2017 ◽  
pp. 139-152
Author(s):  
Abdul Al-Azzawi
Keyword(s):  
Continuous Improvement ◽  
Production Line

STANDARDIZED WORK IN TPS PRODUCTION LINE

2015 ◽  
Vol 76 (6) ◽  
Author(s):  
Nurul Hayati Abdul Halim ◽  
Ahmed Jaffar ◽  
Noriah Yusof ◽  
Roseelena Jaafar ◽  
Ahmad Naufal Adnan ◽  
...  
Keyword(s):  
Continuous Improvement ◽  
Production System ◽  
Manufacturing Process ◽  
Production Line ◽  
Assembly Line ◽  
Process Stability ◽  
Automotive Assembly ◽  
Study Implementation

This paper presents a case study implementation of one of the Toyota Production System (TPS) tools, known as Standardized Work (SW), in an automotive assembly line in Malaysia. The main functions of SW are to design, develop, document and visualize a set of a manufacturing process with detail and proper study of it. SW is conducted to raise production consistency and quality of a produced product and the job performed. With the proper SW implementation, good results have been obtained from the increase in efficiency, productivity, quality and process stability of the operator’s performance. Thus, the findings are consistent with TPS philosophies which are waste elimination and continuous improvement in any manufacturing area.

Using Lean-Sigma for the Integration of Two Products During a Ramp-Up Event

2020 ◽  
pp. 954-976
Author(s):  
Noe Alba-Baena ◽  
Francisco J. Estrada ◽  
Oswaldo Omar Sierra Torres
Keyword(s):  
Statistical Analysis ◽  
Production Process ◽  
Continuous Improvement ◽  
Six Sigma ◽  
Production Line ◽  
Lean Manufacturing ◽  
New Product ◽  
Quality Level ◽  
Manufacturing Environment ◽  
Improvement Methodologies

Keeping up the quality level in in a manufacturing environment has become an issue when trying to start the production of a new product which is in a ramp-up stage into a running production line ramp-down model. If production of the old model is ended too fast will make shortages in the customer supply, and will have excessive inventory numbers of the newer product. Trying the re-design in a production line to keep building the old model while incorporating the newer tends to create an undesirable impact on quality and productivity. Nowadays, continuous improvement methodologies like Lean and Six Sigma are used to solve this challenge. While Lean Manufacturing tends to be efficient for quick fixes, Six Sigma works better when there is plenty of time to conduct deeper statistical analysis. This chapter describes a combination of Lean Manufacturing speed with the Six Sigma analysis' power. Combined to maintain the quality and productivity of a production process during such conditions.

scholarly journals Application of OEE for productivity analysis: a case study of a production line from the pulp and paper industry

DYNA ◽  
2019 ◽  
Vol 86 (211) ◽  
pp. 9-16 ◽  
Author(s):  
Jairo J .O Andrade ◽  
Daniel Dreher Silveira
Keyword(s):  
Continuous Improvement ◽  
Production Line ◽  
Production Systems ◽  
Paper Industry ◽  
Pulp And Paper Industry ◽  
Pulp And Paper ◽  
Production Costs ◽  
Productivity Analysis ◽  
Quality Performance

The overall equipment effectiveness (OEE) is an indicator used in the management and continuous improvement of production systems, and is useful in identifying losses, thus reducing production costs. By analyzing the results of this indicator, the operation manager must make decisions to eliminate or reduce losses in the process. This study investigated the application of the OEE indicator in one production line in the pulp and paper industry. The implementation of OEE was performed in stages with a detailed analysis of the indicators that compose the OEE (quality, performance, and availability) to identify possible improvements. Thus, actions were implemented to improve the OEE quality index. This study provided important information that enabled the operation manager to diagnose and minimize the occurrence of failures and losses, which is often hidden and unknown to those involved in the production system.

scholarly journals Continuous Productivity Improvement Using IoE Data for Fault Monitoring: An Automotive Parts Production Line Case Study

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7366
Author(s):  
Yuchang Won ◽  
Seunghyeon Kim ◽  
Kyung-Joon Park ◽  
Yongsoon Eun
Keyword(s):  
Monitoring System ◽  
Continuous Improvement ◽  
Production System ◽  
Production Line ◽  
Production Systems ◽  
Productivity Improvement ◽  
Fault Monitoring ◽  
Line Configuration ◽  
Automotive Parts

This paper presents a case study of continuous productivity improvement of an automotive parts production line using Internet of Everything (IoE) data for fault monitoring. Continuous productivity improvement denotes an iterative process of analyzing and updating the production line configuration for productivity improvement based on measured data. Analysis for continuous improvement of a production system requires a set of data (machine uptime, downtime, cycle-time) that are not typically monitored by a conventional fault monitoring system. Although productivity improvement is a critical aspect for a manufacturing site, not many production systems are equipped with a dedicated data recording system towards continuous improvement. In this paper, we study the problem of how to derive the dataset required for continuous improvement from the measurement by a conventional fault monitoring system. In particular, we provide a case study of an automotive parts production line. Based on the data measured by the existing fault monitoring system, we model the production system and derive the dataset required for continuous improvement. Our approach provides the expected amount of improvement to operation managers in a numerical manner to help them make a decision on whether they should modify the line configuration or not.

scholarly journals Mathematical theory of improvability for production systems

1995 ◽  
Vol 1 (2) ◽  
pp. 95-137 ◽  
Author(s):  
David Jacobs ◽  
Semyon M. Meerkov
Keyword(s):  
Mathematical Model ◽  
Continuous Improvement ◽  
Production Line ◽  
Mathematical Theory ◽  
Production Systems ◽  
Equal Probability ◽  
Bernoulli Model ◽  
Finite Buffers ◽  
Serial Production

A mathematical model for continuous improvement processes in production systems is formulated. Both constrained and unconstrained cases are addressed. A solution for the case of a serial production line with finite buffers and a Bernoulli model of machines reliability is given. In particular, it is shown that a production line is unimprovable under constraints if each buffer is on the average half full and each machine has equal probability of blockages and starvations. Based on this result, guidelines for continuous improvement processes are formulated.

Using Lean-Sigma for the Integration of Two Products during a Ramp-Up Event

2016 ◽  
pp. 405-427 ◽  
Author(s):  
Noe Alba-Baena ◽  
Francisco J. Estrada ◽  
Oswaldo Omar Sierra Torres
Keyword(s):  
Statistical Analysis ◽  
Production Process ◽  
Continuous Improvement ◽  
Six Sigma ◽  
Production Line ◽  
Lean Manufacturing ◽  
New Product ◽  
Quality Level ◽  
Manufacturing Environment ◽  
Improvement Methodologies

Keeping up the quality level in in a manufacturing environment has become an issue when trying to start the production of a new product which is in a ramp-up stage into a running production line ramp-down model. If production of the old model is ended too fast will make shortages in the customer supply, and will have excessive inventory numbers of the newer product. Trying the re-design in a production line to keep building the old model while incorporating the newer tends to create an undesirable impact on quality and productivity. Nowadays, continuous improvement methodologies like Lean and Six Sigma are used to solve this challenge. While Lean Manufacturing tends to be efficient for quick fixes, Six Sigma works better when there is plenty of time to conduct deeper statistical analysis. This chapter describes a combination of Lean Manufacturing speed with the Six Sigma analysis' power. Combined to maintain the quality and productivity of a production process during such conditions.

scholarly journals Use of Work Routines of Observation Tool to Promote Continuous Improvement in a Production Line

2015 ◽  
Vol 3 ◽  
pp. 5800-5805
Author(s):  
Adriano Varasquin ◽  
Leandro Vaz Vieira ◽  
Gilles Balbinotti
Keyword(s):  
Continuous Improvement ◽  
Production Line ◽  
Work Routines

scholarly journals Sinthesis on Theories of Quality Management with Application in Wiring Industry

2019 ◽  
Vol 16 (1) ◽  
pp. 34-38
Author(s):  
Cristina Havadtöi ◽  
Liviu Moldovan
Keyword(s):  
Quality Management ◽  
Literature Review ◽  
Continuous Improvement ◽  
Electrical Resistance ◽  
Production Line ◽  
Corrective Action ◽  
Complex Issue ◽  
Maximum Value ◽  
Electrical Wiring

Abstract Quality management in the electrical wiring industry is a complex issue. The paper presents a brief literature review in complex terms related to the quality management, the methods which can be used towards continuous improvement, first as quality management in its whole concept, than as quality management in the wiring industry. The base in quality in wiring industry are the test in the Laboratory and verifications in the production line. Finally, is focusing on the electrical resistance which on several tests was to high exceeding the maximum value. Due to this, a corrective action must be implemented.

scholarly journals Modification to a process of making skewers in a company that produces meat products

2019 ◽  
pp. 18-24
Author(s):  
Adolfo Cano-Carrasco ◽  
René Daniel Fornés-Rivera ◽  
Marco Antonio Conant-Pablos ◽  
Miroslava Teresa Rodríguez-Muñiz
Keyword(s):  
Continuous Improvement ◽  
Production Line ◽  
Leisure Time ◽  
Operating Time ◽  
Meat Products ◽  
Current Method ◽  
Meat Processing ◽  
Process Study ◽  
A Company

This research analyzes a skewer production line of a meat processing company due to the fact that it presents bottlenecks and leisure time, with the objective of proposing improvements in the method through the analysis of operations. The procedure was to know the specifications of the product and the process, study the activities and determine standard times by the Maytag Company method. The results show that the critical operations are those of portioning and assembling the product for which three improvement proposals were designed whose evaluation determined that the mold method is the most suitable for the production of skewers. The chosen method is considered more efficient, since when compared to the current method, it presents a decrease in the operating time of 11.68s per product, as well as 7.88s in leisure time, resulting in an increase in production of 321.95 kg per shift, this represents an increase of 124.83% in the efficiency of the production line, making evident the relevance of these techniques for the continuous improvement of the processes.

Teamwork and Continuous Improvement Measures

2003 ◽  
Author(s):  
Jacqueline A-M. Coyle-Shapiro ◽  
Paula C. Morrow
Keyword(s):  
Continuous Improvement ◽  
Improvement Measures
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