Supply Chain Optimization and Secure Management in the Blockchain based on Neuro-Fuzzy Structure-Game Theory and Phantasm Network

One of the main challenges in industrial engineering is supply chains. Supply chain is a set of activities that optimize the economic value of goods and services from source to consumption, in order to meet the demands and satisfy customers by coordinating physical, financial and informational flows. While the flow of things is moving forward, the flow of information has a backward movement. This means that information about demand, cost, quality, etc., is provided by the customer to the system. In this research, we try to present a new model for optimizing supply chain management using the Deep Learning with Convolutional Neural Network which combined with fuzzy logic structure to confront four criteria: profit, risk, time capacity constraints, capacity constraints (suppliers, production centers, centers Distribution, warehouses and labor force). According to the recent articles, they supposed to present a more optimal model than the mentioned method, which first has less computational complexity (i.e. remove heavy relationships as much as possible) The use of Phantasm Blockchain and the improvement of the structure of the game theory presented in the article can be reduced. Therefore, the structure of the neural-fuzzy network has been used to check any uncertainty so the cases that have not been checked in the reference articles, which include optimal management in reducing costs in vehicle traffic and improving market regulation as much as possible, will close to optimal. In fact, the reference article that had the supply chain management used game theory in the platform of blockchain, we only specify the type of blockchain, which is the standard that will be phantasm, secondly, the game theory method is combined with neural-fuzzy network and We have optimized it so that a data mining approach can be obtained to discover new information from supply chain management. It is more optimal.

Keywords:

Supply Chain , Convolutional Neural Network (CNN) , Deep Leaning , Optimization , Fuzzy Logic , Phantasm Network , Blockchain , Game Theory.