Modern Management Science & Engineering (MMSE) is an international, Refereed, double-blind peer-reviewed, open-access journal published by Scholink. The mission of MMSE is to provide a high-level platform for experts and scholars all over the world to share their latest ideas of management and foster the prosperity of the discipline. We would welcome scholars and researchers engaging in the related field to submit your manuscripts to MMSE. Both of online submission and E-mail submission (mmse@scholink.org) are acceptable. We would welcome scholars and researchers engaging in the related field but is not limited to the following fields: Public Management and Engineering Management Science Theories and Methods Business Management Engineering Management Loop Management Agricultural Engineering Management Industrial Engineering and Operations Management: Policy and Risk Management Operations and Supply Chain Management Sustainable Management and Green Engineering Strategic Management and Organizational Behavior Integration of Information Technology and Management Others Both of online submission and E-mail submission (mmse@scholink.org) are acceptable. ------------------------------------------------------------------------ Open access: Modern Management Science & Engineering is available online to the reader "without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself." Peer review: Modern Management Science & Engineering takes peer review policy. Peer review is the evaluation of work by one or more people of similar competence to the producers of the work (peers).
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Design and Application of Airport Barrier-free Guide System Based on Virtual Reality Technology
The Civil Aviation Administration of China (CAAC) has introduced a series of policies on airport accessibility infrastructure, which has clarified the direction for upgrading airport accessibility services and created urgent demands for the development and implementation of intelligent accessibility devices. Currently, most domestic airports still face challenges in accessibility design, including reliance on traditional facilities, lack of smart navigation systems, insufficient coverage in complex areas, and difficulties in adapting to the personalized travel needs of visually impaired passengers. These issues significantly impact the efficiency and experience of airport travel for the visually impaired community. The rapid development of virtual reality (VR) technology, with its capabilities in high-fidelity scene replication, immersive interactive perception, and precise spatial modeling, provides critical technical support for overcoming bottlenecks in airport accessibility smart device development. This holds significant practical value for enhancing the scene adaptability and user-friendliness of accessibility devices. Based on this, this paper focuses on airport accessibility guidance as a core application scenario, conducting research on the design and application of VR-integrated guidance systems. The study defines core system requirements and design principles, completes hardware selection and software module development, and validates system performance through scenario simulation tests. The research confirms that this VR-guided system effectively addresses pain points in existing airport accessibility services, aligns with CAAC's policy requirements, and creates safe, efficient, and convenient travel paths for visually impaired passengers. It also provides a practical model for technological innovation and application implementation of accessibility smart devices in the transportation sector.
Copyright (c) 2026 Yang Zhang, Yongqiang Shan, Yifei Su http://creativecommons.org/licenses/by/4.0
Simulation Research on Adaptive Control System of Combine Harvester Feeding Rate Based on Fuzzy PID
During field operations, combine harvesters frequently encounter significant fluctuations in feeding rates attributable to the stochastic nature of crop density and uneven growth patterns. These irregularities often precipitate critical mechanical failures, such as threshing drum blockages and engine stalling. To mitigate these operational risks, this study proposes a robust adaptive control strategy for feeding rate regulation rooted in fuzzy logic. Initially, a mathematical model of the system dynamics is constructed by analyzing the nonlinear coupling between the harvester’s forward speed and the feeding rate, incorporating characteristics of significant inertia and pure time delay. Addressing the inherent limitations of conventional PID algorithms—specifically their inadequate parameter adaptability and weak disturbance rejection under complex, time-varying conditions—a fuzzy adaptive PID controller is designed. This controller utilizes the feeding rate error () and its rate of change as inputs to facilitate online, real-time tuning of the proportional, integral , and derivative parameters via a fuzzy inference mechanism. Simulation experiments conducted on the MATLAB/Simulink platform demonstrate that, compared to traditional PID control, the proposed system reduces overshoot by approximately 14.2% (from 18.3% to 4.1%) when subjected to step changes in crop density. Furthermore, the settling time is significantly truncated, and steady-state error is effectively eliminated. These results corroborate that the proposed control strategy exhibits superior robustness and dynamic tracking capabilities, thereby satisfying the rigorous requirements for automated operation in modern precision agriculture.
Copyright (c) 2026 Shizhong Liu http://creativecommons.org/licenses/by/4.0
Research on the Evolution and Path Analysis of China’s Industrial Internet Industry Policy
New-generation information technologies have permeated all sectors of the economy and society. With the advancement of the Internet, the digital economy has thrived, rapidly expanding from the consumer domain to the production sector. The industrial economy has progressively evolved from digitalization toward networking and intelligence. In this context, the industrial internet has emerged as a pivotal driver for the transformation and upgrading of the manufacturing industry. Since 2015, the Chinese government has introduced a series of policies to actively promote the development of the industrial internet, establishing a relatively comprehensive policy framework. An analysis of the evolution of China’s industrial internet policies reveals a strategic shift in policy focus—from an initial emphasis on supply-side instruments to a more balanced integration of supply-side and environment-side measures—and a refinement of policy objectives, from constructing theoretical frameworks to addressing deeper challenges such as enhancing foundational innovation capabilities. Nevertheless, the development of the industrial internet continues to face significant challenges, including technological innovation bottlenecks, complex market demands, and persistent data security concerns. This paper reviews the evolutionary trajectory of industrial policies, analyzes the developmental pathway of the industrial internet from a macro-level perspective, and proposes an integrated optimization strategy for China’s industrial internet policy system.
Copyright (c) 2026 Wenjing Liang http://creativecommons.org/licenses/by/4.0