International Conference on Management
Science and Engineering Management
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The 18th ICMSEM August 5-8, 2024, Kuala Lumpur, Malaysia
2024-09-20 Click:253

The 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


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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.

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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.

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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

 

  • 2024
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  • Springer
  • Society of ICMSEM

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