Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination

By Shiyong Wang, Jiafu Wan, Daqiang Zhang, Di Li, Chunhua Zhang. 2016

1,256 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Industrial and Manufacturing Engineering

1. Fernanda Strozzi
2. William Ho
3. Jiewu Leng
4. Qiang Liu
5. Ding Zhang
6. Xin Chen
7. Hao Zhang
8. Alessandro Creazza

Citations in the corpus

• A survey of data fusion in smart city applications (2019, background): “0 standards [172] touted as the gold standard of the future, various industries have been experiencing transformation with automation and data driven approaches.”
• A review of cooperative multi-agent deep reinforcement learning (2019, background): “With the motivation of recent success on deep reinforcement learning (RL)—super-human level control on Atari games [136], mastering the game of Go [183], chess [184], robotic [95], health care planning [119], power grid [65], routing [145], and inventory optimization [150], chip design [133]—on one ”
• A Digital Twin-Based Approach for Designing and Multi-Objective Optimization of Hollow Glass Production Line (2017, methodology): “0 vision [6], [7] and the development of big data analytics [8], [9], faster algorithms, increased computation power, and amount of available data enable the simulation with ability of real-time control and optimization of products and production lines, which is referred to as a Digital Twin [10], u”
• Defining a Digital Twin-based Cyber-Physical Production System for autonomous manufacturing in smart shop floors (2019, methodology): “A multi-role negotiation mechanism (Wang et al. 2016a) that clarifies the request-response and announce-bid actions can be used.”
• Design and application of Internet of things-based warehouse management system for smart logistics (2018, background): “Industrial production machinery no longer simply ‘process’ product, but the product communicates with the machinery to tell it exactly what to do (Wang et al. 2016).”
• Big data for cyber physical systems in industry 4.0: a survey (2019, methodology): “Wang et al. (2016b) integrated the autonomous agents with feedback and coordination, and proposed a contract net protocol negotiation mechanism to cooperation with each other.”