Open AccessThe designing analysis process of constituent attributes by using VSM and Six Sigma to enhance the productivity in industry of bearings
Author(s) -
Fevi Syaifoelida,
I Mohamed Amin,
A.M. Megat Hamdan
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/788/1/012021
Subject(s) - value stream mapping , lean manufacturing , productivity , manufacturing engineering , six sigma , lean project management , factory (object oriented programming) , process (computing) , production (economics) , engineering , lean six sigma , manufacturing , industrial engineering , computer science , operations management , business , marketing , operating system , economics , macroeconomics , programming language
The objectives of this paper is to study the process and production flow in the manufacturing of bearings, to analyse the designing process of constituent attributes towards manufacturing tool to enhance the productivity in manufacturing of bearings and to propose the factors that will increase the productivity rate in the manufacturing of bearings. Based on several literature reviews of regarding lean manufacturing tools, it was acknowledged that lean is a technique that is significant to enhance the performance of service at various industries through spotting and tackling its criticalities. There are five principles of lean thinking in which it is identify the value, mapping the value stream, creating flow, establishing pull and seeking perfection. There are various lean manufacturing tools that can be used to improve productivity, however for this paper is to study the value stream mapping (VSM) along with six sigma methodology are combined to analyse the productivity rate and propose factors that can enhance productivity. The wastes allocated in this study were successfully obtained through 7 lean type of wastes which are overproduction, defect, inventory, inappropriate processing, transportation, waiting and motion. Lastly, the proposed factors were to improve working environment along with motivation of workers and Total Productive Maintenance (TPM) to improve productivity in this bearing manufacturing factory.