Collaborative manufacturing platform for industry 4.0

Abstract

Information and communication technology are undergoing on the rapid development phase,and many innovative technologies, such as the Internet of Things (IoT),artificial intelligence (AI), cloud computing and big datahave appeared. Today, advancements in technology are taking place exponentially. The Internet of Things (IoT) need rises; the application of computer technology is becoming ubiquitous. These technologies are filling the manufacturing industry and enable the integration of virtual and physical worlds through cyber-physical systems (CPS), which lead towards the fourth stage of the industrial revolution (i.e., Industry 4.0). Considering the area of Manufacturing, machines and industries are becoming smarter. However, considering the bigger picture, as the society is now thriving for mass-customization, in this work, we propose an operation management system that will enable industries to achieve the goal of "mass-production with mass-customization" which is the next challenge for the industry. The project is on Industry 4.0 the application of Cyber-Physical Systems (CPS) and IndustrialInternet of Things(IoT) and in the manufacturing industry to create a platform capable of remote monitoring, intelligent production planning, and autonomous real-time decision making. It intelligently works towards the goal of mass-production with mass-customization and make datacentric decisions using cyber-physical transformations and the Internet of Things. Thus, we devise a platform, termed as Collaborative Manufacturing Platform (CMP), which will make this possible. It will interconnect and enable interaction between the pillars of manufacturing viz. suppliers, co-industries, customers, and the industry-leading to enhanced profits and efficient real-time decision-making. Python programming based simulation has been developed in this work. Typical characteristics of the program include capacity calculation, availability of industry, failure of the machine, defective product, customer probability, cost analysis, real-time scheduling, etc. Cost analysis, according to a smart selection of suppliers and co-industry, every time is done with the change in demand. The intelligent selection of suppliers and neighbouring industries through the algorithm ensures the best possible amalgamation of the lowest cost, best quality, and availability. The algorithm developed in this work is capable of all the decision-making ability and smart selection of suppliers and coindustry. Parameter's weightage can be managed according to the industry requirement. Using the Collaborative Manufacturing Platform (CMP) may lead to increased profit in the existing benefit. Overall increase in the number of customers and thus increase in profit for both the customers and industry.