Kesri Steels Limited -Process Control & Analysis

Kesri Steels Limited consistent quest towards excellence in quality has helped us to carve a special niche for ourselves in today's highly competitive business scenario. Kesri Steels Limited follow a strict quality management system right from the stage of procurement of raw material, designing and manufacturing to the final packaging. The compliance of standardised production norms and methods further ensures that our products are in sync with the current industrial trends.

With management driven scientific and structured methodology in quality management systems and implementation of tools like SPC, FMEA, 6-SIGMA, 5S, POKAYOKE, FIFO, KANBAN, CAPA, and KAIZEN have made our process more exacting and efficient. It is important to improve understanding of tomorrows customer needs vis-à-vis today's technology to make possible the planning required to achieve quality and productivity.

Kesri Steels Limited utilizes different analytical tools (Chemical Composition, Thermal Analysis, Design of Feeding and Filling systems etc.) in order to keep the process under control, improve the quality of the castings and reduce the rejection rates. Additional developments have been introduced into the process simulation tools which provide valuable information. Kesri Steels Limited is fully aware that for maintaining a competitive position in the global market, it is necessary to integrate the knowledge and experience of all activities, correlate decisive process parameters, analyze a high number of data, work with reliable information and have a production system that will facilitate critical decision before incidences occur. Kesri Steels Limited understand that it is essential to relate most important variables, prioritize them and have a total control on the production parameters that will allow producing parts accordingly to specifications.

Basic Objectives in Process Control:

• Analytical capacity for a high volume of information.
• Possibility to establish inter-connection among the most relevant parameters, prioritizing each one of them.
• Global knowledge process control, incorporating all available means.
• Identify the actions that bring no improvement to the process.
• Integrate the experience and personal knowledge into an expert management system.