The difficulties in an assembling framework are the absence of ideal, exact, and absence of data to included item forecast, shop floor assets, item stream, item review, item status to client, item conveyance status, and manufacturing plant adaption for a modified item. The proposed thought is to plan IoT representation based Smart Factory for Additive Manufacturing System (ISFAMS) that makes a route towards continuously from customary mechanization to a completely associated mass customization and adaptable digital actual framework. The ISFAMS uses a reliable stream of data
from related errands and making structures to learn and change processing plant creations to new demands from the client. The framework uses the Industrial Controller to control the activity of individual frameworks and succession of item stream in the Smart Factory arrangement. The remote sensor network secures constant assembling data and data is put away, got to, and pictured utilizing distributed computing. The vision framework and mechanized stage empower the examination of the item's shape and measurements dependent on the AI approach and to move the item from area to
segment and separate the item for bundling segment. This digitization of the assembling framework builds adaptability, dependability, savvy detecting and control, asset wastage, simple admittance to assembling data, and coordination with the executives.
Value Co-creative Manufacturing System for Mass Customization: Concept of Smart Factory and Operation Method Using Autonomous Negotiation Mechanism
