2022 7th International Conference on Engineering Management (ICEM 2022)
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Keynote Speakers



Prof. Hing Kai Chan

Nottingham University Business School, China

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Title: Integrated Maintenance Scheduling, Location and Routing Decisions Problem for Offshore Wind Farms

Abstract: Offshore wind farms are very important to produce renewable energy, which help achieve sustainable development goals. Offshore wind farms, similar to other power generating plants, require maintenance work. A Service Operation Vessel and a Safe Transfer Boat (or Crew Transfer Vessel) are used to maintain a set of turbines in this setting. The aim is to dynamically and simultaneously find the best locations for the Service Operation Vessel in the plane (i.e., the sea) and to determine the best delivery and pick-up routes used by the Safe Transfer Boat to access the turbines. Given the limitations of solving this problem using exact methods in a continuous space, a hybrid model with a mixed-integer nonlinear programming and Genetic Algorithm is proposed. The computational results, using the Thanet offshore wind farm in the South East of the UK as an example, demonstrate the effectiveness and robustness of the proposed hybrid method.




Assoc.Prof. Ziqiang Zeng

Sichuan University, China

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Title: Balanced Strategy Based on Environment and User Benefit-oriented Carpooling Service Mode for Commuting Trips

Abstract: Besides saving money and providing convenience, carpooling can result in environmental benefits to society; therefore, it is important to promote and improve daily carpooling services. However, some conflicts related to carpooling match rates and environmental protection have been influencing user satisfaction. To broaden the carpooling service scope and improve service flexibility, an environment and user benefit-oriented carpooling service model was developed that included mixed user groups, different user types, multiple origin and destination pairs, a time window and user attitudes, and considered the cost and time efficiency requirements of the users to guarantee individual benefits and provide more reasonable matches. A 0-1 nonlinear optimization model was built to describe the model and an improved genetic algorithm based on a nearby matching principle designed to find the optimal solution. Finally, a case simulation from Chengdu city was conducted to demonstrate the effectiveness of the proposed model and the influence of different user attitudes on the carbon emissions and match rates, from which it was found that the proposed carpooling mode was able to provide a more systematic carpooling plan, avoid the increased carbon emissions from potential mismatching due to time and efficiency losses, and guarantee the maximum social benefit.




Assoc.Prof. Ke Zhang

University of Electronic Science and Technology of China, China

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Title: Design and Implementation of a Sensors System for Wireless Spectrum

Abstract: With the increasing shortage of wireless spectrum resources, it is urgent to monitor and utilize the limited wireless spectrum resources rationally. In our project, a scattered wireless spectrum sensor network system is proposed and applied to electromagnetic spectrum monitoring in a city environment. We design a wireless spectrum sensor node and wireless spectrum sensor network, then develop a city wireless spectrum monitoring software system. We describe the network architecture and software design process in detail and then design several experiments to test the system. The results show that our system can satisfy the electromagnetic spectrum environment monitor requirements.