Introduction

This is the proceedings of the Nineteenth International Conference on Management Science and Engineering Management (ICMSEM 2025). The Program Committee Chairs, which are famous scientists in the area of management science and engineering management, and Program Committee Members, which are active scholars from all over the world, will review the submissions and select high-quality papers to be published in the proceedings.

Purpose and Scope

ICMSEM provides a platform for researchers and practitioners of Management Science, Engineering Management, and Engineering Science to share ideas and exchange experiences. ICMSEM encourages papers that include the following five elements:

• Strong background of practical management problem found in engineering practice;
• Clear problem description, abstracted as a class of problem in Management Science and Engineering Management, covering topics such as decision analysis, manufacturing management, engineering project management, knowledge management, logistics, supply chain management, service innovation, and interdisciplinary research;
• Effective mathematical engineering modeling, including creating engineering mathematical models and conducting analysis using statistical mechanics, operations research, systems science, differential equations, variational inequalities, control theory, and econometrics;
• Algorithm framework design, involving the development of algorithms to solve engineering problems successfully;
• Successful application or case studies in Engineering Management demonstrating scientific validity and effectiveness.

Content and Focus

The proceedings of the Nineteenth ICMSEM cover a wide range of areas, including hot management issues in Engineering Science. It presents the newest frontier ideas and research achievements in Management Science and Engineering Management to researchers and practitioners.

The work includes both theoretical and practical studies of Management Science in the Computing Methodology, showcasing advanced management concepts and computing technologies for decision-making problems involving large, uncertain, and unstructured data. Research in this proceeding highlights new changes and challenges in decision-making as we enter the big data era.

Theoretical studies will introduce new technologies for analysis, capture, search, sharing, storage, transfer, visualization, and privacy protection, along with advances in the integration of optimization, statistics, and data mining. Practical studies will focus on real decision-making scenarios involving large, uncertain, or unstructured data.

Readers interested in related fields can benefit from the proceedings for new ideas and research directions.