Proposing a New Method to Optimize the Routing in the Distribution of Vendors' Goods Using the Internet of Things (IoT)
محورهای موضوعی : Electrical Engineering
Mohammad Sadegh Jahan
1
(
Department of Electrical and Electronic Engineering, Mahdishahr Branch, Islamic Azad University, Semnan,
)
کلید واژه: genetic algorithms, Artificial Neural Networks, IoT, Intelligent Transport Systems, DNO GPS-V4,
چکیده مقاله :
Distribution systems are a chain of businesses or intermediaries through which a product or commodity delivers to the customer. One of the most important concerns of customers and manufacturers is the improper distribution of the product to the right place and target customers, and it can be boldly said that the cost of each product for the customer largely depends on the costs of distribution of the product. On the other hand, the increase in transfers and movements of goods and the demand for speeding up these transfers, along with the reduction of costs related to these transfers, has caused many complexities and problems in this regard in the transportation network. Among the most important problems at present are the increase in traffic volume on various routes, increasing fuel consumption, wasting long time on high-traffic routes, increasing air pollution, and so on. In this study, a new stochastic algorithm to optimally select the route to prevent increased costs and reduce time and air pollution caused by traffic on busy routes while transporting goods. And we offer products from the place of production / factories to places of distribution. In this algorithm, IoT will be used to select the optimal path. By implementing the proposed algorithm, it can be concluded that the attention of the product production team to strategic issues can be increased in the long run. The number of customers and increasing the share of the company's products in the market will play an effective role.
