The aim of this project is to make the organic factory Smart. This will help increasing the productivity and make the processes quicker by utilizing smart gadgets and a smart framework. It will also assist factories with forestalling mistakes and furthermore keep the factory from losing the stocks. This smart system will save the factory a lot of inventory times which will also saves the factory labour, it will also help find the missing stock much quicker. By using smart gadgets ,they will log times and the items that been out from the locations ,it will also make it easier for the person who is receiving or picking from that location because they no longer have to scan loads of barcodes to receive or collect from that location ,they will simply have to go near that area and the smart device will recognise that area and let the customer know what item to pick and they automatically updates the database .the same process will apply for the receive too .
The smart factory is a relatively new facility. This technology will assist the organic factory by increasing the speed and efficiency of the stock operation. Manufacturing firms are currently confronted with a variety of challenges brought on by rapid technological change, such as short product life cycles, volatile demand, and highly individualized goods. To succeed in future markets, manufacturing companies must be able to produce small batch sizes of a product or even a single item in a timely and cost-effective manner, and they must have sufficient functionality, scalability, and coordination with clients and suppliers to do so. The literature review and methodology for the programs, which cover the study and implementation of the smart factory, are discussed in this paper. The lecture would review all the research that went into developing the smart factory, as well as the design and methods that were used in the early stages of the project, which included the first few prototypes. When designing, all the hardware and software required to be sourced, but when implementing, the user interface that the user will be able to use will be linked to the main system to upgrade the changes. The code, as well as all the software and hardware required for this project, will be implemented. This paper would also look at the finished product and the project’s future, as well as what you can do differently.
The production mode of manufacturing enterprises is being transformed from digital to intelligent with the rapid growth of electrical and electronic technology, information technology and advanced manufacturing technology. The modern age that incorporates Cyber-Physical System (CPS)-based virtual reality technology is coming. Because of the current difficulties, the benefits of conventional manufacturing industry have recently decreased. Consequently, intelligent manufacturing technology is one of the high-technology areas in which more attention is paid to by industrialised nations. Europe 2020, Industry 4.0 and China Manufacturing Strategy 2025have been proposed. The pace of reindustrialization has been gradually accelerated by the US and Reflow for production. The profound and lasting impact on future production worldwide was intrigued by the transformation of smart manufacturing (Chen et al., 2017). The lack of overall product traceability is another common problem in conventional factories. In certain situations, operators do not know precisely where the commodity is or where it is physically positioned in the development process. This lack of traceability results in inefficiencies and the lack of knowledge on which tasks are being performed or at specific times have been performed on the plant (Illa and Padhi, 2018). In fact, in real time, it is also normal not to know which goods are ready to ship or where they are