A5047628669- Digital Transformation in Industry
- Manufacturing Process and Optimization
- Flexible and Reconfigurable Manufacturing Systems
- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Sustainable Supply Chain Management
- Product Development and Customization
- Collaboration in agile enterprises
- Technology Assessment and Management
- Supply Chain and Inventory Management
- Knowledge Management and Sharing
- Vehicle Routing Optimization Methods
- Augmented Reality Applications
- Evaluation and Optimization Models
- Human-Automation Interaction and Safety
- Advanced Control Systems Optimization
- Virtual Reality Applications and Impacts
- Power Systems and Technologies
- Real-time simulation and control systems
- Quality and Supply Management
- Innovation and Knowledge Management
- Railway Systems and Energy Efficiency
- IoT and Edge/Fog Computing
- Maritime Ports and Logistics
- Food Supply Chain Traceability
Xiangtan University
2025
Massachusetts Institute of Technology
2024
American Society For Engineering Education
2024
Singapore-MIT Alliance for Research and Technology
2024
Volvo Cars (Sweden)
2023-2024
Tsinghua University
2014-2024
Volvo (Sweden)
2023-2024
Chalmers University of Technology
2014-2023
Shanghai Lixin University of Accounting and Finance
2020-2023
University of Manchester
2020-2023
Abstract A large body of research investigates how manufacturing flexibility in uncertain environments leads to firm performance, with mixed results. The findings could be due differences across firms terms the capabilities acquire, assimilate, and transform knowledge simultaneously pursue both exploitation existing operational exploration for new capabilities. Building on literature that suggests mediates relationship between environmental uncertainty we explore applicability two...
xR technologies such as Augmented Reality (AR) and Virtual (VR) are increasing at shop-floors but still in need for validation order to make good strategic decisions regarding implementation. The areas where most industries apply AR is within remote guidance complex tasks maintenance. VR mostly used layout planning more virtual training. This paper aims present results from six case studies with over two hundred responders academy industry about usage strategies on when implement what technology..
Epidemiologic studies on mild cognitive impairment (MCI) are limited in China.Using a multistage cluster sampling design, total of 10,276 community residents (6096 urban, 4180 rural) aged 65 years or older were evaluated and diagnosed with normal cognition, MCI, dementia. MCI was further categorized by imaging into caused prodromal Alzheimer's disease (MCI-A), resulting from cerebrovascular (MCI-CVD), vascular risk factors (MCI-VRF), other diseases (MCI-O).The prevalences overall MCI-A,...
Humans are indispensable in the manufacturing industry as its complexity increases an Industry 4.0 context, mainly due to changing customer demands. Managing challenges of increased can create a competitive advantage for SMEs. Technologies which enable emerging phenomenon have possibility simplify sharing information and knowledge among people at work, especially Operator 4.0. However, few SMEs actually implemented such technologies this purpose. Therefore, paper aims understanding current...
The location-routing-inventory problem (LRIP) is essential to cold chain logistics (CCL). To solve the problem, this paper proposes an integrated LRIP model considering carbon transaction mechanism, which simultaneously optimizes costs associated with location, transportation, inventory, and transaction. non-dominated sorting genetic algorithm II (NSGA-II) was improved model. Simulation shows that NSGA-II can effectively reduce emissions of enterprises in context research offers a solution...
Digital platforms offer opportunities to enhance the resilience of manufacturing supply chains facing complexity, data sharing challenges, external stressors (e.g., resource scarcity, geo-political factors), emerging risks and environmental sustainability. Despite growing importance digital for industrial value creation, limited research has focused on their practical application in this context. Furthermore, a comprehensive understanding holistic factors crucial successful implementation is...
The cold chain logistics (CCL) distribution have been studied by considering customer satisfaction, we propose a multi-objective CCL model with the goals of minimal carbon transaction cost, network cost and maximal satisfaction. According to characteristics model, an improved Multi-Objective algorithm was designed, which integrates dynamic crowding distance differential mutation operator into non-dominated sorting genetic II (DDNSGA-II). DDNSGA-II enhances diversity initial population, local...
Wire harness assembly is normally a manual process that poses ergonomic challenges. As consequence of the rapidly expanding electrification vehicles and transportation systems, demand for wire harnesses can be expected to grow radically, further increasing operator Thus, automating this highly prioritised by production engineers. The rapid development industrial robot technology has enabled more human-robot collaboration possibilities, simplifying automation tasks. However, successful...
The manufacturing industry faces immense challenges for maintaining and increasing their productivity flexibility. In this context, it is important companies to ensure that employees have the relevant data, information knowledge necessary make well-informed decisions. Due recent development with Industry 4.0 enabling technologies create new possibilities, amount of available increase rapidly, but insights into how utilize its full potential are still lacking. paper, a human-centred...
With the acceleration of global digitalization process and deepening integration concept sustainable development, how enterprise digital transformation affects performance ESG green technology innovation has become an important issue common concern to academia industry. Taking China's A-share listed enterprises in 2013-2022 as empirical research sample, influence mechanism from perspective resource basis on is explored. The shows that: (1) Enterprise performance, its three dimensions...
The impinging pressure of a water jet is key factor in engineering applications, and the shape has great influence on this pressure. In paper, five different nozzle shapes were designed, impacting tests conducted based self-designed experimental platform using PVDF piezoelectric film sensor high-speed camera to record data. Additionally, computational fluid dynamics (CFD) method was also applied study velocity distribution. results show that profiles onto solid surface present consistent...
In production industry assembly instructions are often in need of improvement. Today's text based and used only when learning the assembly. Due to a high product variety instruction quality be perceptual order for operator make fast correct decisions. To educate support personnel making five guidelines that operators' cognitive abilities have been developed. The were tested three case studies with different groups: technicians, students from higher vocational education bachelor students....
Under the fierce market competition and demand of low-carbon economy, freshness fresh products directly determines degree customer satisfaction. Cold chain logistics companies must pay attention to carbon emissions obtain better service development. In cold path optimization problem, considering cost, product emission environmental factors at same time, based on cost-benefit idea, a comprehensive vehicle routing problem model is proposed minimize unit cost trading mechanism for calculating...
This paper discusses the property of Bayesian estimation and E system reliability parameter with zero-failure date. We give mathematical proof that Pascal distribution's is asymptotic equal to its hierarchical smaller than estimation.
The hybrid flowshop scheduling problem with unrelated parallel machines exists in many industrial manufacturers, which is an NP-hard combinatorial optimisation problem. To solve this more effectively, improved gravitational search (IGS) algorithm proposed combines three strategies: generate new individuals using the mutation strategy of standard differential evolution (DE) and preserve optimal solution via a greedy strategy; substitute exponential constant (GS) linear function; improve...
Learning factories play an important role when studying multi-disciplinary problems. Such a problem is to support operators in multi-variant assembly. Multi-variants cause problems with product quality, production time as well cognitive load and therefore it find ways this context. To assess the effects of multi variants, design concept were developed learning factory environment (SIILab, CPPS-testbed). The was constructed at conveyer belt three assembly stations using Casat software for...