Management System Engineering [electronic resource] / edited by Xiaofang Chen, Lida Xu, Jindong Qin.

Інтелектуальна відповідальність: Вид матеріалу: Серіальне виданняПублікація: Singapore : Springer Nature Singapore : Imprint: Springer.Опис: online resourceISSN:
  • 2731-5843
Тематика(и): Електронне місцезнаходження та доступ: Зведення: Management System Engineering (MSE) is a peer-reviewed scholarly journal dedicated to the methodology of System Engineering (SE) and the practice of Management Decision Making. Among the topics considered are: decision modelling, optimization, stimulation, computation, and data analytics for identifying and solving management problems; making business decisions; and managing risks in complex management systems from the SE perspective. The journal also provides a unique and premiere forum for topics such as issue data-driven applications for interdisciplinary problems, and issue interpretation for any of the systems engineering lifecycle phases associated with the definition; development, and deployment of large systems with the aid of new information technology using big data analysis, cloud computing, internet of things, blockchain and so forth. Explores the methodology of system engineering and the practice of management decision making. Provides a platform for interdisciplinary research on data information, control and management. Benefits academics, researchers, and professionals in the field of data-information-management.
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Management System Engineering (MSE) is a peer-reviewed scholarly journal dedicated to the methodology of System Engineering (SE) and the practice of Management Decision Making. Among the topics considered are: decision modelling, optimization, stimulation, computation, and data analytics for identifying and solving management problems; making business decisions; and managing risks in complex management systems from the SE perspective. The journal also provides a unique and premiere forum for topics such as issue data-driven applications for interdisciplinary problems, and issue interpretation for any of the systems engineering lifecycle phases associated with the definition; development, and deployment of large systems with the aid of new information technology using big data analysis, cloud computing, internet of things, blockchain and so forth. Explores the methodology of system engineering and the practice of management decision making. Provides a platform for interdisciplinary research on data information, control and management. Benefits academics, researchers, and professionals in the field of data-information-management.

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