Intelligent Manufacturing in the Context of Industry 4.0: A Review

Abstract Our next generation of industry—Industry 4.0—holds the promise of increased flexibility in manufacturing, along with mass customization, better quality, and improved productivity. It thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. Intelligent manufacturing plays an important role in Industry 4.0. Typical resources are converted into intelligent objects so that they are able to sense, act, and behave within a smart environment. In order to fully understand intelligent manufacturing in the context of Industry 4.0, this paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things (IoT)-enabled manufacturing, and cloud manufacturing. Similarities and differences in these topics are highlighted based on our analysis. We also review key technologies such as the IoT, cyber-physical systems (CPSs), cloud computing, big data analytics (BDA), and information and communications technology (ICT) that are used to enable intelligent manufacturing. Next, we describe worldwide movements in intelligent manufacturing, including governmental strategic plans from different countries and strategic plans from major international companies in the European Union, United States, Japan, and China. Finally, we present current challenges and future research directions. The concepts discussed in this paper will spark new ideas in the effort to realize the much-anticipated Fourth Industrial Revolution.

[1]  Jiming Chen,et al.  Smart community: an internet of things application , 2011, IEEE Communications Magazine.

[2]  Allison Barnard Feeney,et al.  A Portrait of an ISO STEP Tolerancing Standard as an Enabler of Smart Manufacturing Systems , 2014, J. Comput. Inf. Sci. Eng..

[3]  Dazhong Wu,et al.  Cloud manufacturing: Strategic vision and state-of-the-art☆ , 2013 .

[4]  Constantina Kottaridi,et al.  Information and communication technology and foreign direct investment: interactions and contributions to economic growth , 2015 .

[5]  Mahmoud Houshmand,et al.  A collaborative and integrated platform to support distributed manufacturing system using a service-oriented approach based on cloud computing paradigm , 2013 .

[6]  Chun-Wei Yang,et al.  Applications of artificial intelligence in intelligent manufacturing: a review , 2017, Frontiers of Information Technology & Electronic Engineering.

[7]  Ray Y. Zhong,et al.  Visualization of RFID-enabled shopfloor logistics Big Data in Cloud Manufacturing , 2015, The International Journal of Advanced Manufacturing Technology.

[8]  Malte Brettel,et al.  How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective , 2014 .

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

[10]  Abdelkader H. Ouda,et al.  Resource allocation in a network-based cloud computing environment: design challenges , 2013, IEEE Communications Magazine.

[11]  Ray Y. Zhong,et al.  Mining SOTs and dispatching rules from RFID-enabled real-time shopfloor production data , 2012, Journal of Intelligent Manufacturing.

[12]  Gary Burnett,et al.  Driver-passenger collaboration as a basis for human-machine interface design for vehicle navigation systems , 2017, Ergonomics.

[13]  Jing Lin,et al.  Towards Integrated Simulation of Cyber-Physical Systems: A Case Study on Intelligent Water Distribution , 2009, 2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing.

[14]  Ray Y. Zhong,et al.  RFID-enabled real-time advanced planning and scheduling shell for production decision making , 2013, Int. J. Comput. Integr. Manuf..

[15]  Soh-Khim Ong,et al.  Towards a griddable distributed manufacturing system with augmented reality interfaces , 2016 .

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

[17]  Simaan M. AbouRizk,et al.  A hybrid information fusion approach to safety risk perception using sensor data under uncertainty , 2017, Stochastic Environmental Research and Risk Assessment.

[18]  Faraz Fatemi Moghaddam,et al.  Applying an agent-based user authentication and access control model for cloud servers , 2013, 2013 International Conference on ICT Convergence (ICTC).

[19]  Muhammad Waseem,et al.  A Review on Internet of Things (IoT) , 2015 .

[20]  George Q. Huang,et al.  IoT-based real-time production logistics synchronization system under smart cloud manufacturing , 2016 .

[21]  Zahed Siddique,et al.  Advances in product family and product platform design: Methods & applications , 2014 .

[22]  Alaneir de Fátima dos Santos,et al.  Is the Use of Information and Communication Technology Associated With Aspects of Women's Primary Health Care in Brazil? , 2017, The Journal of ambulatory care management.

[23]  Rubén S. Montero,et al.  Key Challenges in Cloud Computing: Enabling the Future Internet of Services , 2013, IEEE Internet Computing.

[24]  M. Zhao,et al.  RFID-enabled real-time production management system for Loncin motorcycle assembly line , 2012, Int. J. Comput. Integr. Manuf..

[25]  Ray Y. Zhong,et al.  A big data approach for logistics trajectory discovery from RFID-enabled production data , 2015 .

[26]  Jay Lee,et al.  Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications , 2014 .

[27]  Ray Y. Zhong,et al.  Workload-based multi-task scheduling in cloud manufacturing , 2017 .

[28]  Ray Y. Zhong,et al.  RFID-enabled real-time manufacturing execution system for mass-customization production , 2013 .

[29]  Weiming Shen,et al.  An agent-based service-oriented integration architecture for collaborative intelligent manufacturing , 2007 .

[30]  Ray Y. Zhong,et al.  Big Data for supply chain management in the service and manufacturing sectors: Challenges, opportunities, and future perspectives , 2016, Comput. Ind. Eng..

[31]  Ray Y. Zhong,et al.  A two-level advanced production planning and scheduling model for RFID-enabled ubiquitous manufacturing , 2015, Adv. Eng. Informatics.

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

[33]  Mary Tate,et al.  Where are we at with Cloud Computing?: A Descriptive Literature Review , 2009 .

[34]  Jay Lee,et al.  Recent advances and trends in predictive manufacturing systems in big data environment , 2013 .

[35]  Muhammad Ali Babar,et al.  Migrating Service-Oriented System to Cloud Computing: An Experience Report , 2011, 2011 IEEE 4th International Conference on Cloud Computing.

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

[37]  Ting Qu,et al.  RFID-enabled product-service system for automotive part and accessory manufacturing alliances , 2012 .

[38]  Fei Tao,et al.  IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing , 2014, IEEE Transactions on Industrial Informatics.

[39]  Deepa Kundur,et al.  Implementing a real-time cyber-physical system test bed in RTDS and OPNET , 2014, 2014 North American Power Symposium (NAPS).

[40]  W. H. M. Zijm,et al.  Towards intelligent manufacturing planning and control systems , 2000, OR Spectr..

[41]  Nabil Ahmed Sultan,et al.  International Journal of Information Management , 2010 .

[42]  Yingfeng Zhang,et al.  Real-time information capturing and integration framework of the internet of manufacturing things , 2015, Int. J. Comput. Integr. Manuf..

[43]  Ian Sommerville,et al.  Cloud Migration: A Case Study of Migrating an Enterprise IT System to IaaS , 2010, 2010 IEEE 3rd International Conference on Cloud Computing.

[44]  Dominic Barton,et al.  Making advanced analytics work for you. , 2012, Harvard business review.

[45]  Carla Merkle Westphall,et al.  Customer Security Concerns in Cloud Computing , 2011, ICON 2011.

[46]  George Q. Huang,et al.  RFID-based wireless manufacturing for real-time management of job shop WIP inventories , 2008 .

[47]  Yunsi Fei,et al.  Smart Home in Smart Microgrid: A Cost-Effective Energy Ecosystem With Intelligent Hierarchical Agents , 2015, IEEE Transactions on Smart Grid.

[48]  Douglas H. Norrie,et al.  Agent-Based Systems for Intelligent Manufacturing: A State-of-the-Art Survey , 1999, Knowledge and Information Systems.

[49]  Andrea Zanella,et al.  Internet of Things for Smart Cities , 2014, IEEE Internet of Things Journal.

[50]  Athanasios V. Vasilakos,et al.  A Manufacturing Big Data Solution for Active Preventive Maintenance , 2017, IEEE Transactions on Industrial Informatics.

[51]  Rajkumar Buyya,et al.  Article in Press Future Generation Computer Systems ( ) – Future Generation Computer Systems Cloud Computing and Emerging It Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility , 2022 .

[52]  Vikas Kumar,et al.  Cloud Computing as a Catalyst in STEM Education , 2017, Int. J. Inf. Commun. Technol. Educ..

[53]  Wencheng Huang,et al.  Railway Container Station Reselection Approach and Application: Based on Entropy-Cloud Model , 2017 .

[54]  Terry Anthony Byrd,et al.  Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations , 2018 .

[55]  Chenyang Lu,et al.  Cyber-physical systems for real-time hybrid structural testing: a case study , 2010, ICCPS '10.

[56]  Soo Dong Kim,et al.  A Service-Based Approach to Designing Cyber Physical Systems , 2010, 2010 IEEE/ACIS 9th International Conference on Computer and Information Science.

[57]  Ray Y. Zhong,et al.  A MPN-based scheduling model for IoT-enabled hybrid flow shop manufacturing , 2016, Adv. Eng. Informatics.

[58]  Can Saygin,et al.  RFID-enabled shared resource management for aerospace maintenance operations: a dynamic resource allocation model , 2012, Int. J. Comput. Integr. Manuf..

[59]  George Q. Huang,et al.  Radio frequency identification-enabled real-time manufacturing execution system: a case study in an automotive part manufacturer , 2012, Int. J. Comput. Integr. Manuf..

[60]  Tom Armes,et al.  Using Big Data and predictive machine learning in aerospace test environments , 2013, 2013 IEEE AUTOTESTCON.

[61]  Ray Y. Zhong,et al.  A radio frequency identification-enabled real-time manufacturing execution system for one-of-a-kind production manufacturing: a case study in mould industry , 2012, Int. J. Comput. Integr. Manuf..

[62]  Sanjay E. Sarma,et al.  Auto ID systems and intelligent manufacturing control , 2003 .

[63]  Hongming Cai,et al.  Ubiquitous Data Accessing Method in IoT-Based Information System for Emergency Medical Services , 2014, IEEE Transactions on Industrial Informatics.

[64]  Kai Cheng,et al.  RFID enabled manufacturing: fundamentals, methodology and applications , 2006 .

[65]  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.

[66]  Yu Min Wang,et al.  Understanding the determinants of RFID adoption in the manufacturing industry , 2010 .

[67]  Ercan Oztemel Intelligent Manufacturing Systems , 2010 .

[68]  Yu-Pin Lin,et al.  Applications of Information and Communication Technology for Improvements of Water and Soil Monitoring and Assessments in Agricultural Areas—A Case Study in the Taoyuan Irrigation District , 2017 .

[69]  Andrew Kusiak,et al.  Intelligent Manufacturing Systems , 1990 .

[70]  Xuedong Liang,et al.  An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment , 2015 .

[71]  Chai Xu-dong,et al.  Cloud manufacturing:a new service-oriented networked manufacturing model , 2010 .

[72]  Yam B. Limbu,et al.  Does information and communication technology improve job satisfaction? The moderating role of sales technology orientation , 2014 .

[73]  Mirko Perkusich,et al.  A model-based architecture for testing medical cyber-physical systems , 2014, SAC.

[74]  Jim Browne,et al.  RFID in product lifecycle management: a case in the automotive industry , 2009, Int. J. Comput. Integr. Manuf..

[75]  Yoram Koren,et al.  Value creation through design for scalability of reconfigurable manufacturing systems , 2017, Int. J. Prod. Res..

[76]  Raquel Galindo,et al.  Information and Communication Technology as a Key Strategy for Efficient Supply Chain Management in Manufacturing SMEs , 2015, ITQM.

[77]  Helen Gill,et al.  Cyber-Physical Systems , 2019, 2019 IEEE International Conference on Mechatronics (ICM).

[78]  Qiang Liu,et al.  Enabling cyber-physical systems with machine-to-machine technologies , 2013, Int. J. Ad Hoc Ubiquitous Comput..

[79]  Weiming Shen,et al.  Applications of agent-based systems in intelligent manufacturing: An updated review , 2006, Adv. Eng. Informatics.

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

[81]  Thomas Hedberg,et al.  Enabling Smart Manufacturing Research and Development using a Product Lifecycle Test Bed , 2015, Procedia manufacturing.

[82]  Fei Tao,et al.  A chaos control optimal algorithm for QoS-based service composition selection in cloud manufacturing system , 2014, Enterp. Inf. Syst..

[83]  Edward A. Lee,et al.  Modeling Cyber–Physical Systems , 2012, Proceedings of the IEEE.

[84]  Wu He,et al.  Internet of Things in Industries: A Survey , 2014, IEEE Transactions on Industrial Informatics.

[85]  Jorge Arinez,et al.  Dynamic production system diagnosis and prognosis using model-based data-driven method , 2017, Expert Syst. Appl..

[86]  Lida Xu,et al.  Internet of Things for Enterprise Systems of Modern Manufacturing , 2014, IEEE Transactions on Industrial Informatics.

[87]  Faraz Fatemi Moghaddam,et al.  Cloud computing challenges and opportunities: A survey , 2015, 2015 1st International Conference on Telematics and Future Generation Networks (TAFGEN).

[88]  Nabil Ahmed Sultan Discovering the potential of cloud computing in accelerating the search for curing serious illnesses , 2014, Int. J. Inf. Manag..

[89]  Marimuthu Palaniswami,et al.  Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..

[90]  Heiko A. von der Gracht,et al.  The influence of information and communication technology (ICT) on future foresight processes — Results from a Delphi survey , 2014 .

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

[92]  Catarina Ferreira Da Silva,et al.  MADONA: a method for automated provisioning of cloud-based component-oriented business applications , 2016, Service Oriented Computing and Applications.

[93]  Xun Xu,et al.  An interoperable solution for Cloud manufacturing , 2013 .

[94]  Ann Harrington,et al.  E-learning & information communication technology (ICT) in nursing education: A review of the literature. , 2014, Nurse education today.

[95]  Dana Petcu Portability and Interoperability between Clouds: Challenges and Case Study - (Invited Paper) , 2011, ServiceWave.

[96]  Didier Stricker,et al.  Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet , 2015, IEEE Computer Graphics and Applications.

[97]  R. Law,et al.  Progress on information and communication technologies in hospitality and tourism , 2014 .

[98]  Bo Ai,et al.  The issues of cloud computing security in high-speed railway , 2011, Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology.

[99]  José Barbosa,et al.  Dynamic self-organization in holonic multi-agent manufacturing systems: The ADACOR evolution , 2015, Comput. Ind..

[100]  Xun Xu,et al.  A semantic web-based framework for service composition in a cloud manufacturing environment , 2017 .

[101]  Bin Hu,et al.  A data-driven two-stage maintenance framework for degradation prediction in semiconductor manufacturing industries , 2015, Comput. Ind. Eng..

[102]  Ying Tan,et al.  A prototype architecture for cyber-physical systems , 2008, SIGBED.

[103]  Shahriar Akter,et al.  How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study , 2015 .

[104]  Thomas F. Edgar,et al.  Smart manufacturing, manufacturing intelligence and demand-dynamic performance , 2012, Comput. Chem. Eng..

[105]  Wenjun Xu,et al.  A Cyber-Physical System for Public Environment Perception and Emergency Handling , 2011, 2011 IEEE International Conference on High Performance Computing and Communications.

[106]  Hao Luo,et al.  A case of implementing RFID-based real-time shop-floor material management for household electrical appliance manufacturers , 2012, J. Intell. Manuf..

[107]  Randy H. Katz,et al.  A view of cloud computing , 2010, CACM.

[108]  Hao Luo,et al.  Physical assets and service sharing for IoT-enabled Supply Hub in Industrial Park (SHIP) , 2015 .

[109]  Luis Garicano,et al.  The Distinct Effects of Information Technology and Communication Technology on Firm Organization , 2013, Manag. Sci..

[110]  Ragunathan Rajkumar,et al.  Parallel scheduling for cyber-physical systems: Analysis and case study on a self-driving car , 2013, 2013 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS).

[111]  Pingyu Jiang,et al.  RFID-based smart Kanbans for Just-In-Time manufacturing , 2008 .

[112]  Andrew Y. C. Nee,et al.  Automating design with intelligent human–machine integration , 2015 .

[113]  Xiaochuan Luo,et al.  Cloud Computing for Power System Simulations at ISO New England—Experiences and Challenges , 2016, IEEE Transactions on Smart Grid.

[114]  Ray Y. Zhong,et al.  Prefabricated construction enabled by the Internet-of-Things , 2017 .

[115]  Qin,et al.  [IEEE 2010 IEEE/IFIP 8th International Conference on Embedded and Ubiquitous Computing (EUC) (Co-Located with CSE 2010) - Hong Kong, China (2010.12.11-2010.12.13)] 2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing - IOT Gateway: BridgingWireless Sensor Networks into Intern , 2010 .

[116]  J. Manyika Big data: The next frontier for innovation, competition, and productivity , 2011 .

[117]  R. Srikant,et al.  Stochastic models of load balancing and scheduling in cloud computing clusters , 2012, 2012 Proceedings IEEE INFOCOM.

[118]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[119]  Anurag Agarwal,et al.  The Internet of Things—A survey of topics and trends , 2014, Information Systems Frontiers.

[120]  Nader Mohamed,et al.  A Survey of Load Balancing in Cloud Computing: Challenges and Algorithms , 2012, 2012 Second Symposium on Network Cloud Computing and Applications.

[121]  M. Yusuf,et al.  Information and Communication Technology and Education: Analysing the Nigerian National Policy for Information Technology. , 2005 .

[122]  G. Miragliotta,et al.  Energy management based on Internet of Things: practices and framework for adoption in production management , 2015 .

[123]  George Q. Huang,et al.  RFID-enabled real-time wireless manufacturing for adaptive assembly planning and control , 2008, J. Intell. Manuf..

[124]  A. Taleb-Bendiab,et al.  A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing , 2010, 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops.

[125]  Junaidah Hashim Information Communication Technology (ICT) Adoption Among SME Owners in Malaysia , 2007 .

[126]  Henry C. W. Lau,et al.  A RFID case-based logistics resource management system for managing order-picking operations in warehouses , 2009, Expert Syst. Appl..

[127]  Lei Ren,et al.  Cloud manufacturing: a new manufacturing paradigm , 2014, Enterp. Inf. Syst..

[128]  Binglong Li,et al.  A forensic method for efficient file extraction in HDFS based on three-level mapping , 2017, Wuhan University Journal of Natural Sciences.

[129]  Raouf Boutaba,et al.  Cloud computing: state-of-the-art and research challenges , 2010, Journal of Internet Services and Applications.

[130]  Pankesh Patel,et al.  Enabling high-level application development for the Internet of Things , 2015, J. Syst. Softw..

[131]  Lihui Wang,et al.  Combined strength of holons, agents and function blocks in cyber-physical systems , 2016 .

[132]  Xun Xu,et al.  Machine Tool 4.0 for the new era of manufacturing , 2017 .

[133]  Shashank Pushkar,et al.  Cloud computing challenges and implementations , 2016, 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).

[134]  Marga Marcos,et al.  Agent-based middleware architecture for reconfigurable manufacturing systems , 2017 .

[135]  Alagan Anpalagan,et al.  Network Challenges for Cyber Physical Systems with Tiny Wireless Devices: A Case Study on Reliable Pipeline Condition Monitoring , 2015, Sensors.

[136]  Rohitash Kumar Banyal,et al.  Multi-factor Authentication Framework for Cloud Computing , 2013, 2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation.

[137]  Yongkui Liu,et al.  Industry 4.0 and Cloud Manufacturing: A Comparative Analysis , 2017 .

[138]  Edward A. Lee Cyber Physical Systems: Design Challenges , 2008, 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC).

[139]  Christian Bonnet,et al.  Cross-Domain Internet of Things Application Development: M3 Framework and Evaluation , 2015, 2015 3rd International Conference on Future Internet of Things and Cloud.