The Twentieth International Conference on Management Science and Engineering Management (en Inglés) - Jiuping Xu

This is the proceedings of the Twentieth International Conference on Management Science and Engineering Management (ICMSEM 2026). 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.

ICMSEM provides a platform for researchers and practitioners of Management Science, Engineering Management and Engineering Science, to share ideas, exchange experiences. ICMSEM encourages papers that have following five elements: (1) strong background of practical management problem found in engineering practice; (2) clear problem description, and abstract it as a class of problem in Management Science and Engineering Management, topics such as decision analysis, manufacturing management, engineering project management, knowledge management, logistics, supply chain management, service innovation and management as well as a variety of multi-class interdisciplinary research; (3) effective mathematical engineering modelling, for example, creating engineering mathematical model and conducting abstract engineering mathematical analysis by using statistical mechanics, operations research, systems science, differential equations, variational inequalities, control theory, econometrics; (4) algorithm framework design, namely designing of algorithm model for solving engineering problems successfully; (5) successful application or case study in Engineering Management to show its scientificity and effectiveness.

The proceedings of the Twentieth ICMSEM present theoretical and practical research addressing emerging challenges in Management Science and Engineering Management. The contributions explore advanced management concepts, computing technologies, and decision-making approaches for large, uncertain, and unstructured data. Key areas include data analysis, information capture, search, sharing, storage, transfer, visualization, privacy, optimization, statistics, and data mining. The proceedings also examine practical applications in real-world decision-making scenarios, demonstrating how computational and analytical methods can support effective management and engineering solutions. Researchers and practitioners can benefit from these studies for new insights, research directions, and applications across related fields.