A service-oriented middleware framework for manufacturing industry 4.0

The advantages of the Internet of things (IoT) initiated the vision of Industry 4.0 in Europe and smart manufacturing in USA. Both visions aim to implement the smart factory to achieve similar objectives by utilizing new technologies. These technologies include cloud computing, fog computing, cyber-physical systems (CPS), and data analytics. Together they help automate and autonomize the manufacturing processes and controls to optimize the productivity, reliability, quality, cost-effeteness, and safety of these processes. While both visions are promising, developing and operating Industry 4.0 applications are extremely challenging. This is due to the complexity of the manufacturing processes as well as their management, controls, and integration dynamics. This paper introduces Man4Ware, a service-oriented middleware for Industry 4.0. Man4Ware can help facilitate the development and operations of cloud and fog-integrated smart manufacturing applications. Man4Ware offers many advantages through service level interfaces to enable easy utilization of new technologies and integration of different services to relax many of the challenges facing the development and operations of such applications1.

[1]  Bholanathsingh Surajbali,et al.  XaaS Multi-Cloud Marketplace Architecture Enacting the Industry 4.0 Concepts , 2016, DoCEIS.

[2]  Jay Lee,et al.  A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems , 2015 .

[3]  Fabrício Junqueira,et al.  AN ARCHITECTURE FOR ORGANIZING AND LOCATING SERVICES TO THE INDUSTRY 4.0 , 2015 .

[4]  Hans-Georg Kemper,et al.  Application-Pull and Technology-Push as Driving Forces for the Fourth Industrial Revolution , 2014 .

[5]  Levent Gürgen,et al.  SStreaMWare: a service oriented middleware for heterogeneous sensor data management , 2008, ICPS '08.

[6]  Jiangtao Wen,et al.  The IoT electric business model: Using blockchain technology for the internet of things , 2016, Peer-to-Peer Networking and Applications.

[7]  Josu Bilbao,et al.  Fog computing based efficient IoT scheme for the Industry 4.0 , 2017, 2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM).

[8]  Jameela Al-Jaroodi,et al.  Service-oriented middleware: A survey , 2012, J. Netw. Comput. Appl..

[9]  Dazhong Wu,et al.  A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing , 2017 .

[10]  Francisco Almada-Lobo,et al.  The Industry 4.0 revolution and the future of Manufacturing Execution Systems (MES) , 2016 .

[11]  Alexander Willner,et al.  Towards Programmable Fog Nodes in Smart Factories , 2016, 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W).

[12]  R. Monfared,et al.  Blockchain ready manufacturing supply chain using distributed ledger , 2016 .

[13]  Katherine C. Morris,et al.  Current Standards Landscape for Smart Manufacturing Systems , 2016 .

[14]  Judith Kelner,et al.  A middleware for industry , 2015, Comput. Ind..

[15]  Ioan Ungurean,et al.  A Middleware Based Architecture for the Industrial Internet of Things , 2016, KSII Trans. Internet Inf. Syst..

[16]  Mathias Schmitt,et al.  Towards Industry 4.0 - Standardization as the crucial challenge for highly modular, multi-vendor production systems , 2015 .

[17]  Irlán Grangel-González,et al.  Towards a Semantic Administrative Shell for Industry 4.0 Components , 2016, 2016 IEEE Tenth International Conference on Semantic Computing (ICSC).

[18]  Sanjay Jain,et al.  Manufacturing data analytics using a virtual factory representation , 2017, Int. J. Prod. Res..

[19]  Chen Yang,et al.  Applications of Internet of Things in manufacturing , 2016, 2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD).

[20]  Jiafu Wan,et al.  Implementing Smart Factory of Industrie 4.0: An Outlook , 2016, Int. J. Distributed Sens. Networks.

[21]  Fei Tao,et al.  CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System , 2014, IEEE Transactions on Industrial Informatics.

[22]  Sang Do Noh,et al.  Smart manufacturing: Past research, present findings, and future directions , 2016, International Journal of Precision Engineering and Manufacturing-Green Technology.

[23]  Xun Xu,et al.  From cloud computing to cloud manufacturing , 2012 .

[24]  W. Marsden I and J , 2012 .

[25]  Jinsong Zhao,et al.  Smart Manufacturing for the Oil Refining and Petrochemical Industry , 2017 .

[26]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[27]  Daqiang Zhang,et al.  Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination , 2016, Comput. Networks.

[28]  Kevin Leahy,et al.  An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities , 2015, Journal of Big Data.

[29]  Jiafu Wan,et al.  Data quality management for service-oriented manufacturing cyber-physical systems , 2017, Comput. Electr. Eng..

[30]  Stéphanie Chollet,et al.  Autonomic Mediation Middleware for Smart Manufacturing , 2017, IEEE Internet Computing.

[31]  Jameela Al-Jaroodi,et al.  Service-Oriented Middleware Approaches for Wireless Sensor Networks , 2011, 2011 44th Hawaii International Conference on System Sciences.

[32]  Remzi Seker,et al.  Manufacturing Cyber-Physical Systems Enabled by Complex Event Processing and Big Data Environments: A Framework for Development , 2015, Service Orientation in Holonic and Multi-agent Manufacturing.

[33]  Lifeng Zhou,et al.  Industry 4.0: Towards future industrial opportunities and challenges , 2015, 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

[34]  A. Cannata,et al.  A Technology Roadmap on SOA for smart embedded devices: Towards intelligent systems in manufacturing , 2008, 2008 IEEE International Conference on Industrial Engineering and Engineering Management.

[35]  WanJiafu,et al.  Data quality management for service-oriented manufacturing cyber-physical systems , 2017 .

[36]  Jay Lee,et al.  Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment , 2014 .