Mr. Xiangzhi Mo | Scheduling | Best Researcher Award
Mr. Xiangzhi Mo, Shenzhen University, China
π Mr. Xiangzhi Mo embarked on an academic journey at Lingnan Normal University from September 2017 to June 2021, specializing in Logistics Management. There, he mastered the intricacies of resource allocation and supply chain dynamics. Building upon this foundation, he pursued Applied Economics at Shenzhen University from September 2021 to June 2024, developing a diverse skill set and a keen insight into the symbiotic relationship between economic principles and logistical strategies. π As a skilled researcher, Mr. Mo excels in Python programming, data analysis, and visualization, with expertise in SPSS for statistical analysis. π His proficiency extends to optimization tools like GUROBI and CPLEX, applied in supply chain optimization and resource allocation projects. π Recognized for his exceptional achievements, he earned awards such as the Third Prize in the 7th National Logistics Management Competition and the Second Prize in the Greater Bay Area Cup Financial Mathematical Modeling Competition. π Mr. Mo’s research interests focus on energy-constrained dietary supplement scheduling, showcasing his commitment to advancing scheduling and nutrition fields through innovative solutions. π¨βπ«
πΒ Education :
Mr. Xiangzhi Mo embarked on a journey of academic excellence from September 2017 to June 2021 at Lingnan Normal University, where he honed his expertise in Logistics Management, mastering the intricacies of efficient resource allocation and supply chain dynamics π¦π. Building upon this foundation, he continued his pursuit of knowledge at Shenzhen University from September 2021 to June 2024, delving into the complexities of Applied Economics. Throughout this transformative educational odyssey, Mr. Mo not only acquired a diverse skill set but also developed a keen insight into the symbiotic relationship between economic principles and logistical strategies, poised to make significant contributions to these fields in the future. ππ‘
πΒ Professional Profiles :
Research Skills :
Mr. Xiangzhi Mo is a skilled researcher with expertise in various domains. π He is proficient in Python programming, showcasing a mastery of data analysis, processing, and visualization through extensive project experience. π His proficiency extends to SPSS, where he excels in data cleaning and statistical analysis. π Moreover, Mr. Mo is adept at utilizing optimization tools like GUROBI and CPLEX, demonstrating a wealth of project experience in supply chain optimization, production planning, and resource allocation. π His ability to establish models for solving mathematical practical problems sets him apart in the field. π§
π Awards :
Mr. Xiangzhi Mo stands out as an accomplished individual, adorned with a collection of prestigious awards highlighting his exceptional achievements. π In the 7th National Logistics Management Competition, he clinched the Third Prize, showcasing his prowess in logistics. π His intellectual contributions were further recognized with the Excellent Paper Award at the 5th Academic Conference on Intelligent Manufacturing System Engineering. π Mr. Mo’s analytical skills were celebrated in the Third Greater Bay Area Cup Guangdong Hong Kong Macao Financial Mathematical Modeling Competition, where he secured the Second Prize. π‘π His academic excellence was acknowledged with the 2023 Chinese National Scholarship, a testament to his scholarly dedication. π Additionally, he received the 2023 Guangdong Logistics and Supply Chain Society Science and Technology Innovation Application Award, highlighting his impactful contributions to the field. ππ
π§ Research Interests π¬π :
Mr. Xiangzhi Mo’s research interests delve into the fascinating realms of scheduling and optimization, with a specific focus on energy-constrained dietary supplement scheduling. ποΈπ‘ His passion lies in crafting efficient and resourceful solutions, exploring the intersection of scheduling algorithms and the nuanced demands of dietary supplement production within energy constraints. πΏβοΈ Mr. Mo’s dedication to optimizing these processes reflects a commitment to advancing both the fields of scheduling and nutrition, promising innovative approaches to enhance productivity and resource utilization in this specialized domain. π
Publications Top NotesΒ :
Journal : Computers & Industrial Engineering
Published Year : 2024