All of the articles in this proceedings volume have been presented at the 2026 7th International Conference on Management Science and Engineering Management (ICMSEM 2026) during May 22-24, 2026 in Shenyang, China. These articles have been peer reviewed by the members of the Scientific Committees and...

The widespread application of digital sentiment monitoring in organizational governance is facing a profound legitimacy crisis. Employees may either comply passively under systemic pressure or accept temporarily out of emotional appeal, neither of which can sustainably support technological advancement....

As the process of city is being developed constantly as well as more and more people own cars, the problem of traffic jam on roads becomes much worse, which will cause the decline of the performance of road services. As important components of urban roads, intersections play an important role in determining...

In-vehicle odor has become one of the most common complaints among car consumers, and its negative impact on brand loyalty cannot be underestimated. For a long time, the evaluation of in-vehicle odor has mainly relied on the subjective sniffing method by professional evaluators. However, this traditional...

To enhance the scientific nature of investment decision-making and the level of refined management for small-scale fixed asset procurement in provincial-managed industrial subsidiaries, this paper constructs an investment management mechanism for such procurement equipment based on Life Cycle Cost Management(LCCM).The...

Enterprise-to-government data sharing is a crucial link in enhancing national governance capability, yet the incentive effects of existing policy tools often fall significantly short of expected targets. This study introduces a dual-policy framework combining reputation-based incentives and fiscal subsidies...

The Train Operation Monitoring and Recording Device (LKJ) is a core onboard safety equipment for Chinese railways, and the correctness of its embedded control software directly affects train operation safety. Conventional manual testing suffers from low coverage, heavy workload, poor repeatability, and...

This paper focuses on the specific application scenarios of artificial intelligence in construction engineering supervision, aiming to systematically elaborate its technical paths, practical modes and transformation value. Firstly, the paper analyzes the limitations of the traditional supervision mode....

Targeting the “three complexities” pain points of the Guangdong-Hong Kong-Macao Logistics Park—diversified cross-border logistics supervision, varied business formats, and fragmented systems—and in response to the mandatory requirements of the General Administration of Customs Announcement No. 174 of...

Based on the technology-organization-environment (TOE) framework, combined with SEM and fsQCA, this study takes Shenyang as an example to explore the path mechanism of digitally driving the high-quality development of old industrial cities. By constructing an evaluation system covering three dimensions...

To address the issue of high humidity environments caused by seal failure in the anchorage zone beneath suspension cables, traditional dehumidification techniques rely on adding ventilation ducts within the cable body or modifying anchorage designs—approaches that cannot be directly applied to bridge...

In the context of the deep integration of the digital economy and the concept of sustainable development, corporate social responsibility has evolved from a moral initiative to a core strategic issue, and its intrinsic connection with business performance has become the focus of attention in the academic...

Additive manufacturing of composites, with its high design freedom, near-net-shape capability, and rapid fabrication of complex structures, is driving the transition of composite manufacturing towards digitalised and structure–function integrated production. Through coordinated control of reinforcement...

Traditional schedule management methods such as the Critical Path Method (CPM) and Program Evaluation and Review Technique (PERT) have inherent limitations in dynamic construction environments due to their static planning nature and poor adaptability to uncertainties. This paper proposes a schedule optimization...

Against the backdrop of the “dual carbon” goals, low-carbon transformation in the manufacturing industry has become a critical issue. Addressing the problem of equipment idling and hidden carbon emissions caused by unbalanced tact times in CNC machining production lines, this paper takes the motor rotor...

The reliability evaluation of mine ventilation systems involves multiple indicators with diverse characteristics, making index weighting a critical step. To address the limitations of single subjective or objective weighting methods, this paper proposes a combined weighting approach integrating the three-scale...

The Flexible Job Shop Scheduling Problem (FJSP) is a core challenge in manufacturing optimization under dynamic disturbances and energy constraints. This paper proposes a hierarchical deep reinforcement learning method for dynamic energy-efficient scheduling. The framework decomposes decisions into two...

Coal, serving as the “stabilizer” for China’s energy security, continues to face severe challenges in production safety, with a fatality rate per million tons remaining high compared to developed countries. To effectively curb coal mine accidents, this study systematically analyzes typical accident cases...

Multi-objective optimization problems are prevalent in engineering management, where decision-makers must balance multiple conflicting objectives. Traditional evolutionary algorithms such as NSGA-III employ fixed reference points and treat all decision variables uniformly, making it difficult to adapt...

University laboratories are the core carriers of teaching, research, and the cultivation of innovative talents. Their fire safety is directly related to the safety of teachers and students and the stability of the campus. This paper takes the Trajectory Intersection Theory as the core analytical framework...

Based on the bilateral political relationship index constructed from the voting data of the United Nations General Assembly, this paper systematically examines the impact of political relations with the United States on the length of global value chains (GVCs). The study finds that a distant political...

This study constructs a comprehensive health assessment system for the drainage network of Shou County based on four key dimensions: structure, hydraulics, environment, and management. By integrating the AHP–entropy weight method with the TOPSIS evaluation model, the health conditions of six typical...

With the deepening development of the new retail model, the risks facing cold-chain logistics in fresh-food e-commerce are becoming increasingly complex. The traditional Analytic Hierarchy Process (AHP) relies heavily on expert experience in risk assessment, which suffers from issues such as strong subjectivity...

In response to the characteristics of green renovation projects in old residential communities, such as multiple participants and phased and dynamic risk transmission, this paper constructs a risk assessment system with 16 indicators in four stages of the entire life cycle. It integrates combined weighting,...

The military-industrial sector’s data sharing faces core challenges such as data silos, lack of standardized protocols, and absence of trust mechanisms. Based on the theory of Trusted Data Spaces, this paper analyzes the current status and pain points of data sharing in the military-industrial sector,...

As a key driver of urban renewal, the renovation of aging residential communities presents challenges such as tight schedules, dispersed work sites, and complex stakeholder relationships, harboring numerous potential risks. This study adopts a project management lifecycle perspective and employs the...

Using provincial panel data from 2011 to 2022, this study employs the entropy method and a fixed-effects model to examine the impact of logistics development on economic growth. Results show that China’s logistics industry has improved overall, with the eastern region ahead of the central and western...

In the analysis of ship collision accidents, it is of great significance to identify the key causes of ship collision accidents in time to reduce the incidence of accidents. In this paper, a network model of ship collision accident causation combined with fast Newman community detection algorithm is...

This paper focuses on resource allocation optimization in digital-intelligent service operation management, integrating operations research, economics, management, and information science to construct a “human-machine collaboration-spatio-temporal adaptation-responsibility closed-loop” paradigm addressing...

Addressing the scheduling disturbance issues arising from random equipment failures in an axial flexible job shop, this paper proposes a multi-objective dynamic scheduling method with the dual goals of minimizing the maximum completion time and maximizing the average equipment utilization rate. The performance...

With the continuous development of digital technology, the digitalization of supply chains has become an important path for enterprises to enhance operational efficiency and competitiveness. The level of working capital management directly affects the operating efficiency and risk control ability of...

This study investigates the effects of organizational identity on turnover intention within heterogeneous work environments, incorporating the mediating roles of workplace diversity and psychological attachment, as well as the moderating role of organizational climate. Data were collected from 329 laborers...

Addressing issues such as inadequate spatiotemporal adaptability of roadside control, low data matching accuracy, weak beyond-line-of-sight (BLOS) service capabilities, and a lack of adaptability in integrated traffic-tourism scenarios in vehicle-infrastructure interaction applications for tourist trunk...

As Generation Z emerges as the largest and most influential consumer demographic globally, understanding the intersection of their self-identity construction and consumption behavior has become critical for brand strategy. This study examines how Lululemon, a Canadian premium sportswear brand, leverages...

An analysis of quality issue statistics reveals that, in the preliminary research, development, and mass production phases of aerospace products, while a small number of quality issues stem from defects in technical or process design, the majority are primarily attributable to human factors. Issues such...

Based on the Business Process Reengineering (BPR) theory, this paper addresses the issue of low management efficiency in the mechanical and electrical training laboratories of vocational colleges. Taking the mechanical and electrical experimental and training laboratory of Shantou Polytechnic as a case...

This study aims to explore the impact effect and internal mechanism of ESG performance of manufacturing enterprises on green innovation, and to analyze whether ESG performance can effectively drive the green transformation of manufacturing enterprises under the background of the “carbon neutrality” strategy....

As intelligent society continues to develop, living labs have increasingly been adopted as a means of organizing real-life experimentation and collaborative innovation. Existing studies, however, tend to treat living labs primarily as technological testing environments. This study argues that living...

To meet the needs of the “dual carbon” goal and the National Carbon Source and Sink Monitoring, Verification and Accounting System (CCMVS), meteorological greenhouse gas observation is moving toward intelligence. AR smart glasses, with advantages of real-scene overlay, hands-free operation and remote...

Aiming at the problems of low efficiency, high cost and insufficient emergency resilience of traditional urban ground logistics distribution, as well as airspace governance, system planning, collaborative operation and safety control in the large-scale application of unmanned aerial vehicles (UAVs),...

To accurately grasp the spatial pattern, growth status, and ecological carrying pressure of under-forest Chinese medicinal materials in the Changbai Mountain region, this study takes three core producing areas including Tonghua, Baishan, and Yanbian in Jilin Province as the research area. Multi-temporal...

This research investigates the influence of faculty digital competence on talent cultivation effectiveness within China’s vocational undergraduate sector, contextualized by the country’s evolving modern vocational education system. As digital transformation reshapes both industry demands and educational...

With the advent of the digital age, a new generation of virtual key opinion leaders (VKOLs) has emerged, wielding significant influence over their fan bases and deepening public understanding of the diverse landscape of opinion leaders. This study employs Myers and Robertson’s multidimensional structure...

Based on steel structure production plants, this paper proposes a digital management platform for steel structure production systems by leveraging the precise data processing capabilities of digital technologies. A full-factor data-driven intelligent decision-making and visual control system has been...

Aiming at complex time-space constraints, unbalanced workstation loads, prominent bottlenecks and low balance efficiency of waste electric bicycle battery disassembly lines, this paper constructs a multi-objective optimization model from the time-space perspective. Through field measurement, standard...

To ensure the success of aerospace mission, differentiated management of components should be implemented based on mission-specific requirements, namely through the classification of application levels. These application levels are determined through comprehensive evaluation of multiple factors including...

This paper uses A-share listed companies from 2014 to 2024 as its sample to investigate the impact of artificial intelligence policies on corporate ESG performance. Empirical results indicate that the implementation of artificial intelligence policies significantly enhances corporate ESG performance....

This paper selects countries along the Belt and Road Initiative (BRI) and key domestic node regions as research objects. By comprehensively adopting Data Envelopment Analysis (DEA) and panel regression model, it systematically examines the current characteristics, influencing factors and optimization...

Based on the data from Chinese A-share listed manufacturing firms spanning 2020 to 2024, this study empirically examines the impact of supply chain digitalization on supply chain risk and identifies an important transmission channel. Using panel regressions with year fixed effects and the Bootstrap tests,...

Urban air mobility (UAM) will place automated aircraft, low-altitude corridors, vertiports, data platforms and urban communities in a tightly coupled operating environment. To support proactive low-altitude safety governance, this paper develops a perceived-risk assessment framework combining the analytic...

Under the “dual carbon” goals, rapid growth of the new energy vehicle (NEV) industry has increased end-of-life (EoL) power batteries, posing challenges for recycling logistics. Accurate retirement forecasting is essential for optimizing network layout and resource allocation. Using NEV sales data in...

Against the rapid expansion of e-commerce logistics, last-mile distribution suffers from decoupled pickup–delivery and manual dynamic demand scheduling, resulting in capacity waste and high costs. This paper investigates the dynamic vehicle routing problem with simultaneous pickup and delivery (DVRP-SPD)...

With the rapid development of the digital economy, digital transformation has become a key strategy for China’s foreign trade enterprises to address uncertainties in the international market and enhance their global competitiveness. As a national-level regional collaborative innovation platform, the...

Green finance can significantly promote the development of renewable energy, and its impact exhibits marked regional variations. Based on panel data from 30 provinces (autonomous regions and municipalities) in China covering the period 2010–2021, this paper employs a two-way fixed-effects model to systematically...

This paper examines whether corporate artificial intelligence (AI) attention is associated with green total factor productivity (GTFP) using panel data from Chinese A-share listed firms from 2007 to 2024. AI attention is measured by the frequency of AI-related keywords in the Management Discussion and...

This paper studies the integrated location-routing problem for fresh agricultural products in first-mile logistics. A mathematical model minimizes total cost including construction, transportation, spoilage, and time window penalties. A hybrid algorithm (K-means + improved GA) is proposed. A case study...

Aiming at uneven layout of fixed hubs in China’s regional logistics network, idle stock resources of expressway service areas, and insufficient county-level logistics coverage, this paper proposes transforming expressway service areas into dynamic logistics hubs and integrating them into the regional...

In logistics loading, the heterogeneity of cargo items in weight and volume leads to inefficient resource utilization. This paper addresses a bin packing problem with dual-capacity constraints. A scalarized single-objective model is proposed to minimize container usage and reduce resource utilization...

Due to the perishable nature of dairy products, dairy cold chain logistics has high requirements for temperature control and distribution timeliness. This paper aims to optimize urban dairy cold chain logistics to minimize the total distribution cost by reducing delivery time, lowering cargo loss, and...

With the rapid development of green manufacturing and circular economy practices, evaluating the environmental performance differences between new manufacturing and remanufacturing has become an increasingly important research issue. This study examines a manufacturing system characterized by the co-existence...

In January 2024, the European Union officially included shipping in its Emissions Trading System (EU ETS), creating a quasi-natural experiment for studying how carbon pricing reshapes maritime emissions behaviour. Using vessel-level annual panel data from the EU MRV system over 2018-2024 combined with...

With the advancement of Industry 4.0 and green logistics, Robotic Mobile Fulfillment System (RMFS) has emerged as the core of intelligent warehousing. Nevertheless, most existing scheduling strategies adopt a homogeneous energy consumption pattern, which leads to severe energy waste. To solve this problem,...

As the underlying foundation of the new technological revolution, computer technology has become a core driver of urban green high-quality development integrated with artificial intelligence applications. Based on panel data of 282 Chinese prefecture-level cities from 2007 to 2023, this paper regards...

The metro construction projects are typically high-risk, thus nearly all of them will be covered by Contractors’ All Risks Insurance. The spatial and temporal characteristic of 138 metro construction accidents occurred in Guangzhou City, China from 2012 to 2022, was analyzed from the perspective of property...

Against the backdrop of frequent external shocks and the high-quality transformation of the construction industry, innovation resilience has become a core capability for the sustainable development of construction enterprises. Existing studies mostly focus on the one-way impact of digitalization on innovation...

Improving supply chain resilience is now a key approach for companies aiming to achieve high-quality growth and construct a contemporary industrial framework. Utilizing data from Chinese A-share listed companies spanning 2014 to 2023, this study empirically investigates the impact of corporate digital...

This study uses A-share listed companies on the Shanghai and Shenzhen stock exchanges from 2013 to 2023 as its research sample to systematically examine the impact of supply chain equity holdings on audit risk. The findings reveal that supply chain equity holdings significantly increase a firm’s audit...

Against the backdrop of the vigorous development of China’s commercial aerospace industry, various regions are accelerating the layout of commercial aerospace industrial parks. The establishment of a commercial satellite super factory is a decisive factor in the development of the commercial aerospace...

The rapid internationalization of China’s logistics industry, driven by the Belt and Road Initiative, has led to significant investment in Thailand’s logistics market. However, limited research examines how strategic leadership and operational capabilities jointly determine the success of these enterprises...

Amid the global wave of low-carbon transition and automotive industry innovation, electric vehicles have emerged as the core of sustainable transportation development. China, the world’s largest market for electric vehicle production and consumption, has achieved leapfrog development in the new energy...

Compound food additives are widely used in modern food production because they integrate multiple technological functions, improve processing stability, and reduce production costs. However, their composite formulation, uncertain interaction effects, and diversified application scenarios have created...

Condition monitoring and fault diagnosis (CMFD) is difficult to teach because students must connect mechanical dynamics, signal processing, sensing, and diagnostic reasoning with real rotating machinery. This paper presents a Virtual-Flipped-Physical (VFP) teaching case for sun-gear broken-tooth diagnosis...

Indonesia’s oil and gas industry faces significant challenges due to the dominance of aging offshore facilities amid increasingly ambitious national energy production targets, making brownfield project management crucial for maintaining cost efficiency while ensuring technological reliability to support...

Mountain-Sea Collaboration is the core strategy for overcoming the fragmentation of regional cultural and tourism resources and spatial structural bottlenecks, and for promoting the building of a world-famous tourist destination in Fujian. Research indicates that Mountain-Sea Collaboration embodies an...

Climate finance has become an important institutional arrangement linking climate governance, financial resource allocation, and low-carbon industrial transformation. Under the dual pressures of green transition and changing international trade requirements, manufacturing export upgrading should be evaluated...

In recent years, the combination of global climate change and rapid urbanization has led to multi-hazard, high-frequency, and compound disaster risks for cities in China, exposing significant vulnerabilities in urban infrastructure under extreme impacts. Based on this context, this study selects Huludao...

In response to climate change and urbanization challenges, promoting the transformation of urban water supply systems toward a resilience paradigm is critical. Based on the Pressure-State-Response (PSR) framework, this study employs dynamic fuzzy-set Qualitative Comparative Analysis (fsQCA) to investigate...

To improve quality control in prefabricated high-speed railway station construction, this study proposes a digital twin-driven framework integrating physical entities, a virtual model, a quality twin data center, and a service platform. By combining multi-source sensing, digital component archives, process-node...