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.