Rotary Kiln Thermal Simulation Model and Smart Supply Chain Logistics Transportation Monitoring Management

• Published in: Journal of advanced transportation Vol. 2022; pp. 1 - 13
• Main Author: Liu, Zesheng
• Format: Journal Article
• Language: English
• Published: London Hindawi 16-02-2022; John Wiley & Sons, Inc; Hindawi Limited; Hindawi-Wiley
• Subjects: Computer simulation; Computer-generated environments; Coronaviruses; COVID-19 vaccines; Decision making; Design; Drainage; Efficiency; Experiments; Heat transfer; Inventory; Kilns; Logistics; Manufacturers; Manufacturing; Mathematical models; Monitoring; Optimization; Portable computers; Quality control; Raw materials; Scheduling; Simulation; Suppliers; Supply chains; Thermal insulation; Thermal simulation; Titanium; Transportation; Transportation planning
• ISSN: 0197-6729; 2042-3195
• DOI: 10.1155/2022/2116280

Rotary kiln is a large-scale instrument for industrial firing of cement. Due to its thermal insulation characteristics, this article studies the application of rotary kiln in supply chain logistics transportation. The main research focus of this paper is the thermal simulation model of rotary kiln and intelligent supply chain logistics transportation monitoring management. This paper analyzes the rotary kiln and its parameters and then designs a thermal simulation model of the rotary kiln. Then this article also combines the relationship between logistics and supply chain, studies the characteristics of supply chain, summarizes and designs a new type of smart supply chain logistics transportation method, and then applies the rotary kiln thermal simulation model to this new type of transportation method. In order to optimize its transportation efficiency and thermal insulation degree, this paper designs the supply chain optimization experiment and the rotary kiln simulation thermal numerical optimization experiment. This article also carries out the overall efficiency analysis of logistics based on DEA and analyzes the results of the experiment and applies it to the intelligent supply chain logistics transportation method of the thermal simulation model of the rotary kiln and compares this new type of transportation method with the traditional transportation method. The experimental results show that the intelligent supply chain transportation method based on the thermal simulation model of the rotary kiln improves the insulation effect by 5%–9% compared with the traditional transportation method. Compared with the traditional transportation method, the transportation efficiency of the smart supply chain transportation method based on the thermal simulation model of the rotary kiln has increased by 4%–8%.