The penetration of Internet of things (IoT) in the production control of modern manufacturing workshop has prompted advanced intelligent and information-based manufacturing techniques. However, the relevant studies fail to collect and process the various manufacturing parameters in real time, and rarely consider the coordination between manufacturing workshop and machines. This paper explores the digital production control of manufacturing workshop based on the IoT. Firstly, block diagrams were drawn for IoT-based digital workshop production control and software design of digital production control system, and a multi-objective optimization model was established for IoT-based digital workshop production control, aiming to optimize delivery time, machine load, and machine utilization rate. Next, the order sequencing method was detailed for digital workshop production control. Finally, machine competency and collaborative efficiency were introduced as optimization objectives, and an IoT-based strategy was designed for collaborative allocation of sub-tasks for workshop production. Our method was proved effective through experiments.
Securing a safe environment is a big issue for workplaces to tackle. Among the casualties in industries of all kinds, accidents in coal mines are the most serious. Starting from the angle of economics, Endogenous Growth Theory was used as the analysis tool in this paper in the hope of finding some solutions to eliminate hazardous elements in coal mines. Based on the analysis, coal enterprises' safe and steady development must rely on human resources and staff development. As coal enterprises are highly dangerous, staff can ensure safe production of coal mines. Without qualified staff, safety cannot be guaranteed. Then, from the angle of trainers, including government, education departments, and enterprises, and the angle of trainees, including undergraduate students, employees and the public, the paper discusses how individual trainers departments should collaborate with each other to accomplish their duties to cultivate trainees, thus to build a multi-channel system of training staff.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.