Blockchain based cloud manufacturing model

In this study, CBDM (Cloud Based Design and Manufacturing), one of the Industry 4.0 technologies were investigated. The developed CBDM models in the literature were examined and a sample CBDM model has been developed. Problems arising from the fact that CBDM models have a central structure are examined and the dangers these problems pose for manufacturing platforms are explained. Within the scope of this study, solutions to the mentioned problems are presented with SC (Smart Contract) supported DApps (Decentralized Applications). The developed DCMApp (Decentralized Cloud Manufacturing Application) contains the basic steps of CBDM platforms. New technological developments in BC (Blockchain) network, development of new more cost-effective BC networks, development of SCs; it will enable more economical DCMApp applications to be developed and other manufacturing services to be directly integrated into the system. The developed cloud manufacturing model emphasizes a generic structure. As in traditional CBDM platforms, instead of a model serving a single sector; It is a model that will accommodate more than one sector with the generic structure presented. DCMApp developed on the basis of CBDM model has a hybrid structure. This feature makes DCMApp different from other DApp applications. In the DCMApp, public Ethereum BC network is used. Ethereum network is the 2nd largest BC network and it is public. These features provided DCMApp with reliability, security, transparency. With the DCMApp, the need for server infrastructure has been eliminated and any person; It can make manufacturing agreements with each other without needing any intermediary, without making any investment, without paying commission fee, sustainability, and maintenance costs. In DCMApp, all information is not stored on a public Ethereum BC network, which requires transaction fees. Detailed information such as product design, source information, private messages can be stored in local databases, on a distributed server or in cloud services. DCMApp is a more economical application. A new hybrid model has been developed in DCMApp application that uses AHP and genetic algorithm for resource management. The model considers parameters such as TCQS, ED, LD, P and the relationships of these parameters with each other. It offers solutions to the user according to customer priorities. With the developed model, a decision support system for DCMApp is proposed.