The 18th ICMSEM August 5-8, 2024, Kuala Lumpur, Malaysia
2024-09-20 Click:253The 18th ICMSEM August 5-8, 2024, Kuala Lumpur, Malaysia
The 18th International Conference on Management Science and Engineering Management (ICMSEM), organized by the International Society of Management Science and Engineering Management (ISMSEM) and co-organized by University of Malaya, Malaysia, will be held from Aug.5 to Aug.8, 2024.
ICMSEM Held online in August 5 - August 8, 2024, in Kuala Lumpur, Malaysia
Opening Ceremony and Award
The lecture of Universiti Malaya, Dr. Fazli Abdul Aziz hosted the opening ceremony of the 18th ICMSEM on Aug. 6 and Aug.7, 2024, at 09:00 a.m. (Malaysia time). On behalf of the co-organizers, the honorary professor of Universiti Malaya, Prof. Dr. Noor Azina Ismail, Department of Decision Science, Universiti Malaya, gave the warm welcome to the university and most sincere wishes for a successful conference.
The general chair and the president of ISMSEM, Prof. Dr. Dr. Jiuping Xu at Sichuan University, presented sincere appreciation to the co-organizers for their perfect work, and the warm welcome to all conference participants.
The professor of the Department of Industrial Engineering, Universiti Malaya, Prof. Dr. Yusniza Kamarulzaman, and the head of the Department of Decision Science, Assoc. Prof. Dr. Suhana Mohezar Ali, expressed sincere thanks to all the participants for their contributions to the academic research, as well as to all the members who had worked hard to prepare for the conference.
The 2024 Advancement Prize for MSEM was also awarded during the opening ceremony. The prizes were rigorously selected from the recognized 116 full papers as valid entries from 334 submissions by 25 jury boards consisting of Australia, Azerbaijan, Bangladesh, Canada, China, France, Germany, Indonesia, Israel, Italy, Laos, Mexico, Moldova, New Zealand, Pakistan, Philippines, Portugal, Singapore, Spain, South Africa, Thailand, Turkey, the UK, the USA and Vietnam. It was observed that some of the submissions have a team of researchers from both developed as well as developing countries.
2024 ICMSEM Prize
Prize | Winner | Title of Paper |
Grand Prize | Noor Azina Ismail | Application of Latent Class Analysis in Identifying Digital Adoption Typologies |
Runners-up Prize | Rui Qiu, Yu Ding, Jidi Cao and Shuhua Hou | Urban Logistics Drone Delivery Route Planning: An Application of Operation Research Towards Smart Cities |
Gheorghe Duca, Alexandru Stratan and Tatiana Gutium | Urban Logistics Drone Delivery Route Planning: An Application of Operation Research Towards Smart Cities | |
Nominated Prize | Carlos Quiterio Gómez Muñoz, Guillermo Jose Gonzalez de Rivera Peces, Javier Garrido Salas, Mariano Alberto García Vellisca1, Micael Gallego, and Maria Cristina Rodriguez Sanchez | Enhanced Emergency Operations: Leveraging UAV Fleets for Comprehensive Response |
Yuri K.Belyaev, Asaf H. Hajiyev and Turan Sh.Mammadov | Queuing Systems with Moving Servers and Complicated Structures | |
Ehsan Saghatforoush, Mahnaz Ezy and Hamidreza Abbasianjahromi | An Investigation of Enablers and Barriers to Off Site Manufacturing (OSM): A Meta-Synthesis Approach |
Keynote Speeches
Eight keynote speakers from Moldova, Azerbaijan, Spain, Malaysia, Canada, Morocco, USA, South Africa, have given the plenary reports on Aug. 6 and Aug. 7. In view of the understandings on management science and engineering management, these keynote speakers stated the frontiers of their research, which triggered a heated discussion among the participants.
Gheorghe Duca | Asaf Hajiyev |
Identifying Priority Export Products: Case of the Republic of Moldova | Control Problems for Queuing Systems with Moving Servers |
Fausto Pedro García Márquez | Noor Azina Ismail |
Accelerating Energy Innovation Using AI | Application of Latent Class Analysis in Identifying Digital Adoption Typologies |
Syed Ejaz Ahmed | Benjamin Lev |
Improved Sparse Prediction Strategies in High-dimensional Data Analytics | My Experience as EIC of OMEGA |
Ahmed El Ghini | Abimbola Windapo |
On the Inverse Process and Inverse Autocorrelations of Non-stationary Time Series with Weak White Noise: Statistical Inference and Applications | Barriers and Technological Frontiers for Improvement in Road Construction Projects |
Forum: AI-enabled OR Education and Teaching Practice
AI-enabled Operations Research (OR) Education and Teaching Practice refers to the integration of artificial intelligence (AI) technologies into the teaching and learning of Operations Research. This approach leverages AI tools to enhance the educational experience by providing personalized learning, automating complex calculations, and offering data-driven insights.
Asaf Hajiyev | Gheorghe Duca |
History and Development of Operation Research | Sustainable Approaches to Natural Water Management: Ecological Chemistry and Operations Research |
Carlos Quiterio Gómez Muñoz | Ziqiang Zeng |
Real-Time Signal Monitoring for Enhanced Operational Decision-Making: An Educational Approach | The Mind of Operations Research: Liberal Education, Curriculum Design, and AI-enabled Teaching Platform |
Xinxin Xu | Alexandru Stratan |
AI-enabled Operations Research Education and Teaching Practice: Challenges and Strategies | Optimizing the Allocation of Agricultural Subsidies in the Republic of Moldova |
Forum: AI-driven OR Methodology and Applications
AI-driven Operations Research (OR) Methodology and Applications involve the use of artificial intelligence to enhance traditional OR techniques and solve complex decision-making problems. By integrating AI, OR methodologies can handle large-scale data, uncover hidden patterns, and optimize processes more efficiently. This approach is applied across various industries, including logistics, finance, healthcare, and manufacturing, where AI algorithms improve forecasting, resource allocation, and operational efficiency. AI-driven OR not only advances the analytical capabilities of traditional methods but also enables the development of innovative solutions for emerging challenges in a data-rich environment.
Syed Ejaz Ahmed | Fausto Pedro García Márquez |
AI-driven Strategies in High-dimensional Predictive Modeling: Wisdom or Folly | Accelerating the Renewable Energy by Artificial Intelligence |
Liming Yao | Wayne Hu |
Data-driven Intelligent Decision-making of Oil and Gas Field Reservoir Reconstruction | AI in Book Publishing |
Ehsan Saghatforoush | Diana Binti Abdul Wahab |
Digitalization for Dispute Resolution in Multifaceted Projects | How Machine Learning and Operations Research are Shaping the Future of AI |
Forum: AI-aided Scientific Journal Report
Asst. Prof. Dr. Chengwei Lv
Department of Management Science and Data Science
Business School, Sichuan University, P.R. China
With the booming of AI technology, every aspect of our life and work are facing disruptive changes. Evaluation of scientific journals is of critical significance to promote the development of academic platforms. International Academic Alliance of Management Science and Engineering Management has been publishing scientific journals reports in related fields for eight consecutive years since 2017 which has attracted widespread attention and citation. This presentation will provide a comprehensive overview of the research process and analysis of results in the latest editions of scientific journals report. In this report, we innovatively leverage AI-aided technology to assist in filtering the attributes, determining the weights, and tuning the results of the relevant sensitivity analyses. With the guarantee of openness of the raw data, transparency of the calculation process and traceability of the analysis results, AI technology has made our work more scientific and sophisticated. The highlights of this presentation are summarized as follows: (1) The history and process of scientific journal reports of management science in engineering will be reviewed; (2) An AI-aided evaluation framework of scientific journals report will be defined; (3) The impact of AI-aided technology on the analytical results will be demonstrated and discussed.
Conference Proceedings
The conference proceedings were published by Springer. This proceedings volume includes the full papers of the communications presented at the conference. The online link for the 2024 ICMSEM conference:https://link.springer.com/book/10.1007/978-981-97-5098-6