Improving Quality and Productivity in Manufacturing Processby using Quality Control Chart and Statistical Process ControlIncluding Sampling and Six Sigma
نویسندگان
چکیده
The aim of study is to find out the effective way of improving the quality and productivity of a production line in manufacturing industry. The objective is to identify the defect of the company and create a better solution to improve the production line performance. Various industrial engineering technique and tools is implementing in this study in order to investigate and solve the problem that occurs in the production. However, 7 Quality Control tools are the main tools that will be applied to this study. Data for the selected assembly line factory are collected, studied and analyzed. The defect with the highest frequency will be the main target to be improved. Various causes of the defect will be analyzed and various solving method will be present. The best solving method will be chosen and propose to the company and compare to the previous result or production. However, the implementation of the solving methods is depending on the company whether they wanted to apply or not.
منابع مشابه
Mistake Proofing Cam Mechanism Through Six-sigma Process: Case Study on Clothes Printing Machines
Controlling the occurrence of defects is a major challenge for manufacturing organizations that are seeking to enhance their competitive position in today’s global market. This paper considers the process of screen-printing T-shirts using hydraulic and pneumatic printing machines. Several defects in the output of this printing process have been observed, especially with multi colors printing as...
متن کاملSix-sigma application in tire-manufacturing company: a case study
Globalization, advancement of technologies, and increment in the demand of the customer change the way of doing business in the companies. To overcome these barriers, the six-sigma define–measure–analyze–improve–control (DMAIC) method is most popular and useful. This method helps to trim down the wastes and generating the potential ways of improvement in the process as well as service industrie...
متن کاملAn economic-statistical model for production and maintenance planning under adaptive non-central chi-square control chart
Most of the inventory control models assume that quality defect never happens, which means production process is perfect. However, in real manufacturing processes, the production process starts its operation in the in-control state; but after a period of time, shifts to the out-of-control state because of occurrence of some disturbances. In this paper, in order to approach the model to real man...
متن کاملSix Sigma – A New Direction to Quality and Productivity Management
The fast changing economic conditions such as global competition, declining profit margin, customer demand for high quality product, product variety and reduced lead– time etc. had a major impact on manufacturing industries. To respond to these needs various industrial engineering and quality management strategies such as ISO 9000, Total Quality Management, Kaizen, Just–in–time manufacturing, E...
متن کاملEconomic Statistical Design of Multivariate T^2 Control Chart with Variable Sample Sizes
Today, quality improvement and cost reduction are key factors for achieving business success, growth and position. One of the primary tools for quality improvement and cost reduction in online activities of statistical process control is control charts. As the need for monitoring several correlated quality characteristics is extensively growing, the use of multivariate control charts become...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014