A CASE STUDY TO KNOW THE ACCEPTANCE MEASUREMENT SYSTEM AND PROCESS CAPABILITY USING STATISTICAL PROCESS CONTROL IN MANUFACTURING INDUSTRY

Authors

  • Tulus Puji Ruswanto Magister of Industrial Engineering, Mercu Buana University, Jakarta, Indonesia
  • Hernadewita Magister of Industrial Engineering, Mercu Buana University, Jakarta, Indonesia

DOI:

https://doi.org/10.53555/eijbms.v1i4.42

Keywords:

Statistical Process Control (SPC), Process Capability, Measurement System Analysis

Abstract

Validation new equipment before be used continously in production process is very necessary. With the validation we can know the process capability performance of new machine that already installed. This process align with IATF 16949 clausa 8.1.1 requirement.  Bead Grommet machine is one of new machine that has been installed in the truck and bus tire manufacturing company which is need to be validated to know whether machine stable and capable for continous production. Special characteristic for the output bead grommet process that need to be controlled as necessary is the Bead Inner Circumference (BIC). Bead inner circumference of tire is critical to quality when the tire set into the rim. Bead inner circumference out from the standard can generate into death or injured.

Validation for the new Bead Grommet machine to know the Process capability use Statistical Process Control methodology. In term to know the quality measurement before do the Statistical Process Capability study the measurement tools need be assured with calibrated it and already verified with the Measurement System Analysis study. Data collection that be achieved from the study is proceed as the reference for conclusion.  

The results of the analysis imply that measurement tool is can be used for captured the product variation that be happened during production process. Based on data which collected and analyze the process with the new machine installed show that capability process machine Bead Grommet capable. This conclusion reflected from Cp and Cpk value.  

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Published

2015-12-27