IMPROVEMENT IN PRODUCTIVITY USING KANBAN PROCESS BASED COGNITIVE AUTOMATION SYSTEM

The aim of this study is to study the implementation of industrial engineering tools in selected manufacturing company to identify the highest defects occurred at the company production lines and propose new methods to the selected manufacturing company for defects reduction and thus improve the productivity of the company. The chosen company is VISA Steel Industries located at Jajpur, Odisha. In this research work all the work is performed by the help of the MATLAB R13(SIMULINK) version and we have consider flows of material as well as flows of kanbans. The many models given in the literature contribute to the confusion and debate that often characterize kanban research. The only element common to all kanban systems appears to be finite buffer capacities. We describe blocking by total queue size, blocking by part type, and kanban card systems. It review the kanban literature and organize it by type of system and decision area. First, we discuss elements of system design, including setting kanban numbers, performance measures, material-handling frequencies, and container sizes. Then we cover the production control topics of sequencing and sending it to assembly line. Finally kanban methods has a greater production control and is a very good system for production improvement for industries.