BibTeX:

@article{IJIRSTV7I3011,
     title={Statistical Process Control Analysis of Newly Developed components of their machining parameters for productivity Improvement},
     author={Mr. Vishwajit Vishwas Patil and Prof. Maheshkumar A. Sutar},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={7},
     number={3},
     pages={28--32},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV7I3011.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Strong operations support is one of the key requirements for competitive success of modern manufacturing organizations. An important aspect of operations support is Statistical Process Control (SPC); the use of statistical methods for monitoring and control of manufacturing processes and products. Implementation of SPC requires a certain amount of statistical knowledge and understanding. Although this is not an issue for big companies (e.g. in automotive sector), smaller companies are unable to provide the required knowledge in-house. In this paper, a service-driven approach for SPC is proposed, in which SPC is outsource with modern information and communication technologies, such as web services.

Statistical Process Control Analysis, Productivity Improvement