Industrial Engineering
  • Advances in Engineering and Management
  • Advances in Engineering and Management is an international multidisciplinary peer-reviewed journal reporting research on the operations research, production management, project management, logistics and supply chain, quality management, modeling and simulation, human reliability analysis, man-machine-environment system, and application of a very wide range of management science and engineering technology.
    Logistics and Supply Chain: transport economics, empirical studies of management practices and performance,logistics and operations models, especially with application, logistics and supply-chain management topics.
    Production Planning: product life cycle, material flow cycle, planning tools and application, operation system and management.
    ​Expert System: design, development, testing, implementation, and/or management of expert and intelligent systems, intelligent systems technology and application, multi-agent systems, knowledge management, neural networks, knowledge discovery.
    Human Reliability Analysis: codes, standards and safety criteria; operator decision support systems; software reliability; methods and applications of automatic fault detection and diagnosis; dynamic reliability; design and evaluation of man machine systems and human interfaces; accident investigation and management.
    Management Science: project management, new management science, management theory and application, information science and application, management modeling, human resources management.

  • Industry 4.0 and Smart Maintenance
  • In manufacturing, ongoing maintenance of production line machinery and equipment represents a major expense, having a crucial impact on the bottom line of any asset-reliant production operation. Moreover, studies show that unplanned downtime costs manufacturers an estimated $50 billion annually, and that asset failure is the cause of 42 percent of this unplanned downtime.
    For this reason, predictive maintenance has become a must-have solution for manufacturers who have much to gain from being able to predict the next failure of a part, machine or system.