Engineering and Applied Sciences

Special Issue

Smart Manufacturing and Smart Factory

  • Submission Deadline: Jul. 01, 2020
  • Status: Submission Closed
  • Lead Guest Editor: Lei Yue
About This Special Issue
Smart manufacturing is a kind of manufacturing that improves its performance aspects with integrated and intelligent use of processes and resources in cyber, physical and human spheres to create and deliver products and services, which also collaborates with other domains within enterprises' value chains. Performance aspects include agility, efficiency, safety, security, sustainability or any other performance indicators identified by the enterprise. In addition to manufacturing, other enterprise domains can include engineering, logistics, marketing, procurement, sales or any other domains identified by the enterprise.
Besides, Smart manufacturing is a manufacturing approach that improves its performance and technological aspects with the integrated use of intelligent decision making, processes, operations and resources enabled by emerging information technology in cyber, human and physical spheres to create and deliver sustainable products and services systems, which also collaborates with other domains within and among multiple enterprise's value chains.
Smart manufacturing is extending manufacturing. It is characterized by independent actors sharing standardized information. The actors can pro-actively and re-actively act upon the information. The actors collaborate dynamically in network structures. This collaboration occurs among and within life cycles, on both strategic and operational levels, providing added value for organizations. The scope is to develop a reference architecture for smart manufacturing.
Smart manufacturing is a set of methodologies and technologies for making goods and providing services with manufacturing systems that are designed with learning capability and operated based on product/service requirements so that it can respond in real time to meet changing demands and conditions in the factory, in the supply network and in customer needs, and can improve itself continuously. This is obtained by the intensive use of digital technology (including IoT) to integrate products, production systems and business activities through their life cycles and value chains, and increasing decentralized decision making.

Aims and Scope:

  1. reference model and reference architecture
  2. cybersecurity
  3. smart manufacturing use cases and implementation
  4. smart manufacturing technical economy and productivity
  5. smart manufacturing capability maturity assessment
  6. connected supply chain and end-to-end integration
Lead Guest Editor
  • Lei Yue

    Industrial Software Laboratory, Instrumentation Technology & Economy Institute P.R.China (ITEI), Beijing, China

Guest Editors
  • Zhonghua Han

    Faculty of Information and Control Engineering, Shenyang Jianzhu University, Shenyang, China

  • Yifang Fang

    Information Center, Instrumentation Technology & Economy Institute P.R.China (ITEI), Beijing, China

  • Tielin Lu

    Standards and Testing Center, Instrumentation Technology & Economy Institute P.R.China (ITEI), Beijing, China

  • Dan Liu

    Sensors and Network Control Center, Instrumentation Technology & Economy Institute P.R.China (ITEI), Beijing, China

  • Linkun Wang

    Sensors and Network Control Center, Instrumentation Technology & Economy Institute P.R.China (ITEI), Beijing, China

  • Xiaofeng Yan

    Industrial Software Laboratory, Instrumentation Technology & Economy Institute P.R.China (ITEI), Beijing, China

  • Manoj Chaudhary

    Department of Mechanical Engineering, Dr. D.Y. Patil College of Engineering, Savitribai Phule Pune University, Pune, India

  • Dr. Daniel Dasig Jr

    De La Salle University Dasmarinas, Cavite, Philippines