SLAE–CPS: Smart lean automation engine enabled by cyber-physical systems technologies

Sensors (Switzerland)

Volumn 17, Issue 7, 2017, Pages

  Ma, Jing ^a   Wang, Qiang ^a   Zhao, Zhibiao ^b  

^a TSINGHUA UNIVERSITY   (China)

^b China NORINCO Group   (China)

Author keywords

Cyber physical systems; Industry 4.0; Internet of things; Jidoka; Lean automation; Lean production

Indexed keywords

AUTOMATION; CYBER PHYSICAL SYSTEM; EMBEDDED SYSTEMS; ENGINES; INDUSTRY 4.0; INFORMATION SERVICES; INTERNET OF THINGS; LEAD COMPOUNDS; LEAN PRODUCTION; QUALITY CONTROL;

CUSTOMIZED PRODUCTS; CYBER-PHYSICAL SYSTEM (CPS); DESIGN AND IMPLEMENTS; DISTRIBUTED ARCHITECTURE; EFFECTIVE APPROACHES; GLOBAL ECONOMIC CONDITIONS; INNOVATIVE TECHNOLOGY; JIDOKA;

SERVICE ORIENTED ARCHITECTURE (SOA);

ARTICLE; AUTOMATION; HUMAN; INTERNET OF THINGS; REFERENCE VALUE;

EID: 85021685805     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s17071500     Document Type: Article

References (60)

1. Sendler, U. Industrie. 4.0: Beherrschung der Industriellen Komplexität Mit SysLM; Springer: Berlin, Germany, 2013; pp. 1–144.
2. Lindeke, R.R.; Wyrick, D.A.; Chen, H. Creating change and driving innovation in highly automated and lean organizations: The Temporal Think Tank™ (T3™). Robot. Comput. Integr. Manuf. 2009, 25, 879–887. [CrossRef]
3. Chen, H.; Lindeke, R.R.; Wyrick, D.A. Lean automated manufacturing: Avoiding the pitfalls to embrace the opportunities. Assem. Autom. 2010, 30, 117–123. [CrossRef]
4. Akerman, M.; Fast-Berglund, A.; Karlsson, M.; Stahre, J. Introducing customized ICT for operators in manufacturing. Procedia CIRP 2016, 41, 490–495. [CrossRef]
5. Yamazaki, Y.; Takata, S.; Onari, H.; Kojima, F.; Kato, S. Lean Automation System Responding to the Changing Market. Procedia CIRP 2016, 57, 201–206. [CrossRef]
6. Womack, J.P.; Jones, D.T.; Roos, D. The Machine that Changed the World: The Story of Lean Production; Macmillan: New York, NY, USA, 1990; pp. 1–352.
7. Womack, J.P.; Jones, D.T. Lean Thinking: Banish Waste and Create Wealth in Your Corporation; Simon & Shuster: New York, NY, USA, 1990; pp. 1–396.
8. Kolberg, D.; Zühlke, D. Lean automation enabled by industry 4.0 technologies. IFAC-PapersOnLine 2015, 48, 1870–1875. [CrossRef]
9. Parnaby, J. A systems approach to the implementation of JIT methodologies in Lucas Industries. Int. J. Prod. Res. 1988, 26, 483–492. [CrossRef]
10. Jackson, M.; Hedelind, M.; Hellström, E.; Granlund, A.; Friedler, N. Lean automation: Requirements and solutions for efficient use of robot automation in the swedish manufacturing industry. Int. J. Eng. Res. Innov. 2011, 3, 36–43.
11. Zühlke, D. Smart Factory-Towards a factory-of-things. Annu. Rev. Control 2010, 34, 129–138. [CrossRef]
12. DeGarmo, E.P.; Black, J.T.; Ronaldo, A.K. Materials and Processes in Manufacturing, 8th ed.; Wiley Publishing Company: Hoboken, NJ, USA, 2003; pp. 1–1184.
13. Lee, J.; Bagheri, B.; Kao, H.A. A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manuf. Lett. 2015, 3, 18–23. [CrossRef]
14. Lee, E.A. Cyber physical systems: Design challenges. In Proceedings of the 2008 11th IEEE International Symposium on Object Oriented Real-Time Distributed Computing (ISORC), Orlando, FL, USA, 5–7 May 2008; pp. 363–369.
15. Kagermann, H.; Helbig, J.; Hellinger, A. Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0: Securing the Future of German Manufacturing Industry; Forschungsunion: Berlin, Germany, 2013; pp. 1–82.
16. Berk, E.; Toy, A.Ö. Quality control chart design under Jidoka. Nav. Res. Logist. NRL 2009, 56, 465–470. [CrossRef]
17. Karadayi Usta, S.; Oksuz, M.K.; Durmusoglu, M.B. Design methodology for a hybrid part feeding system in lean-based assembly lines. Assem. Autom. 2017, 37, 84–102. [CrossRef]
18. Yamazaki, Y.; Shigematsu, K.; Kato, S.; Kojima, F.; Onari, H.; Takata, S. Design method of material handling systems for lean automation—Integrating equipment for reducing wasted waiting time. CIRP Ann. Manuf. Technol. 2017, in press. [CrossRef]
19. Bulej, V.; Stoianovici, G.; Poppeova, V. Material flow improvement in automated assembly lines using lean logistics. In Proceedings of the Annals of DAAAM for 2011 & 22nd International DAAAM Symposium, Vienna, Austria, 23–26 November 2011; pp. 253–255.
20. Kolberg, D.; Knobloch, J.; Zühlke, D. Towards a lean automation interface for workstations. Int. J. Prod. Res. 2017, 55, 2845–2856. [CrossRef]
21. Guðlaugsson, T.V.; Ravn, P.M.; Mortensen, N.H.; Hvam, L. Modelling production system architectures in the early phases of product development. Concurr. Eng. 2017, 25, 136–150. [CrossRef]
22. Hankel, M.; Rexroth, B. The Reference Architectural Model Industrie 4.0 (RAMI 4.0). Available online: http://www.control.lth.se/media/Education/EngineeringProgram/FRTN20/2016/ZVEI-Industrie-40-RAMI-40-English.pdf (accessed on 26 June 2017).
23. Gubbi, J.; Buyya, R.; Marusic, S.; Palaniswami, M. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Gener. Comput. Syst. 2013, 29, 1645–1660. [CrossRef]
24. Xu, L.D.; He, W.; Li, S. Internet of things in industries: A survey. IEEE Trans. Ind. Inform. 2014, 10, 2233–2243. [CrossRef]
25. Hu, L.; Xie, N.; Kuang, Z.; Zhao, K. Review of cyber-physical system architecture. In Proceedings of the 2012 15th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops: ISORCW, Shenzhen, China, 11 April 2012; pp. 25–30.
26. Lin, J.; Sedigh, S.; Miller, A. A semantic agent framework for cyber-physical systems. In Semantic Agent Systems; Elçi, A., Tadiou Koné, M., Eds.; Springer: Berlin, Germany, 2011; Volume 344, pp. 189–213.
27. Jakovljevic, Z.; Mitrovic, S.; Pajic, M. Cyber Physical Production Systems—An IEC 61499 Perspective. In Proceedings of the 5th International Conference on Advanced Manufacturing Engineering and Technologies, Belgrade, Serbia, 5–9 June 2017; pp. 27–39.
28. Pérez, F.; Irisarri, E.; Orive, D.; Marcos, M.; Estevez, E. A CPPS Architecture approach for Industry 4.0. In Proceedings of the 2015 20th IEEE Conference on Emerging Technologies & Factory Automation (ETFA), Luxembourg, 8–11 September 2015; pp. 1–4.
29. Leitão, P.; Colombo, A.W.; Karnouskos, S. Industrial automation based on cyber physical systems technologies: Prototype implementations and challenges. Comput. Ind. 2016, 81, 11–25. [CrossRef]
30. Pérez, L.; Rodríguez, Í.; Rodríguez, N.; Usamentiaga, R.; García, D.F. Robot guidance using machine vision techniques in industrial environments: A comparative review. Sensors 2016, 16, 1–26. [CrossRef] [PubMed]
31. Leitao, P.; Karnouskos, S.; Ribeiro, L.; Lee, J.; Strasser, T.; Colombo, A.W. Smart Agents in Industrial Cyber–Physical Systems. Proc. IEEE 2016, 104, 1086–1101. [CrossRef]
32. Wu, Z.; Xu, Y.; Yang, Y.; Zhang, C.; Zhu, X.; Ji, Y. Towards a Semantic Web of Things: A Hybrid Semantic Annotation, Extraction, and Reasoning Framework for Cyber-Physical System. Sensors 2017, 17, 403. [CrossRef] [PubMed]
33. Dillon, T.; Chang, E.; Singh, J.; Hussain, O. Semantics of Cyber-Physical Systems. In Proceedings of the 7th IFIP International Conference on Intelligent Information Processing, Guilin, China, 12–15 October 2012; pp. 3–12.
34. Lin, K.J.; Panahi, M. A real-time service-oriented framework to support sustainable cyber-physical systems. In Proceedings of the 2010 8th IEEE International Conference on Industrial Informatics (INDIN), Osaka, Japan, 3–16 July 2010; pp. 15–21.
35. Hoang, D.D.; Paik, H.Y.; Kim, C.K. Service-oriented middleware architectures for cyber-physical systems. Int. J. Comput. Sci. Netw. Secur. 2012, 12, 79–87.
36. Wang, X.-L.; Huang, H.-B.; Su, D.; Chen, L.-N. A service-oriented architecture framework for cyber-physical systems. In Recent Advances in Computer Science and Information Engineering; Qian, Z., Cao, L., Eds.; Springer: Berlin/Heidelberg, Germany, 2012; Volume 126, pp. 671–676.
37. Colombo, A.W.; Bangemann, T.; Karnouskos, S.; Delsing, J.; Stluka, P.; Harrison, R.; Jammes, M.; Lastra, J.L. Industrial Cloud-Based Cyber-Physical Systems: The IMC-AESOP Approach; Springer: New York, NY, USA, 2014; pp. 1–261.
38. Candido, G.; Colombo, A.W.; Barata, J.; Jammes, F. Service-oriented infrastructure to support the deployment of evolvable production systems. IEEE Trans. Ind. Inform. 2011, 7, 759–767. [CrossRef]
39. Pereira, F.; Gomes, L. Combining Data-Flows and Petri Nets for Cyber-Physical Systems Specification. In Proceedings of the Doctoral Conference on Computing, Electrical and Industrial Systems, Costa de Caparica, Portugal, 11–13 April 2016; pp. 65–76.
40. Colombo, A.W.; Karnouskos, S.; Mendes, J.M.; Leitão, P. Industrial agents in the era of service oriented architectures and cloud based industrial infrastructures. In Industrial Agents: Emerging Applications of Software Agents in Industry; Leitão, P., Karnouskos, S., Eds.; Elsevier: Amsterdam, The Netherlands, 2015; Volume 13, pp. 67–87.
41. Lee, E.A. The past, present and future of cyber-physical systems: A focus on models. Sensors 2015, 15, 4837–4869. [CrossRef] [PubMed]
42. Kolberg, D.; Berger, C.; Pirvu, B.-C.; Franke, M.; Michnierica, J. CyProF–Insights from a Framework for Designing Cyber-physical Systems in Production Environments. Procedia CIRP 2016, 57, 32–37. [CrossRef]
43. Lewandowski, M.; Gath, M.; Werthmann, D.; Lawo, M. Agent-based control for material handling systems in in-house logistics-towards cyber-physical systems in in-house-logistics utilizing real size. In Proceedings of the 2013 European IEEE Conference on Smart Objects, Systems and Technologies (SmartSysTech), Erlangen, Germany, 11–12 June 2013; pp. 1–5.
44. Huang, J.; Zhu, Y.; Cheng, B.; Lin, C.; Chen, J. A PetriNet-Based Approach for Supporting Traceability in Cyber-Physical Manufacturing Systems. Sensors 2016, 16, 382. [CrossRef] [PubMed]
45. Kaihara, T.; Yao, Y. A new approach on CPS-based scheduling and WIP control in process industries. In Proceedings of the 2012 Winter IEEE Simulation Conference (WSC), Berlin, Germany, 9–12 December 2012; pp. 1–11.
46. Michniewicz, J.; Reinhart, G. Cyber-Physical-Robotics–Modelling of modular robot cells for automated planning and execution of assembly Tasks. Mechatronics 2016, 34, 170–180. [CrossRef]
47. Holweg, M. The genealogy of lean production. J. Oper. Manag. 2007, 25, 420–437. [CrossRef]
48. Danielsson, F.; Svensson, B.; Gustavsson, S. A flexible lean automation concept for robotized manufacturing industry. In Proceedings of the 11th Middle Eastern Simulation Multiconference (MESM 2010), Alexandria, Egypt, 1–3 December 2010; pp. 101–104.
49. Mashaei, M.; Lennartson, B. A universal framework for lean design and control of automated material handling systems. In Proceedings of the 2012 17th IEEE Conference on Emerging Technologies & Factory Automation, Krakow, Poland, 17–21 September 2012; pp. 1–8.
50. Gao, R.X.; Tang, X.; Gordon, G.; Kazmer, D.O. Online product quality monitoring through in-process measurement. CIRP Ann. Manuf. Technol. 2014, 63, 493–496. [CrossRef]
51. Królczyk, G.; Legutko, S.; Królczyk, J.; Tama, E. Materials flow analysis in the production process-case study. Appl. Mech. Mater. 2014, 474, 97–102. [CrossRef]
52. Krolczyk, J.B.; Krolczyk, G.M.; Legutko, S.; Napiorkowski, J.; Hloch, S.; Foltys, J.; Tama, E. Material flow optimization—A case study in automotive industry. Tehnički Vjesnik 2015, 22, 1447–1456.
53. Nadai, N.; Melani, A.H.; Souza, G.F.; Nabeta, S.I. Equipment failure prediction based on neural network analysis incorporating maintainers inspection findings. In Proceedings of the Reliability and Maintainability Symposium (RAMS), Orlando, FL, USA, 23–26 January 2017; pp. 1–7.
54. Liu, S.; Hu, Y.; Li, C.; Lu, H.; Zhang, H. Machinery condition prediction based on wavelet and support vector machine. J. Intell. Manuf. 2017, 28, 1045–1055. [CrossRef]
55. Jiang, D.; Gong, J.; Garg, A. Design of early warning model based on time series data for production safety. Measurement 2017, 101, 62–71. [CrossRef]
56. Dean, P.R.; Xue, D.; Tu, Y.L. Prediction of manufacturing resource requirements from customer demands in mass-customisation production. Int. J. Prod. Res. 2009, 47, 1245–1268. [CrossRef]
57. Pereira, F.; Moutinho, F.; Gomes, L. IOPT-tools—Towards cloud design automation of digital controllers with Petri nets. In Proceedings of the 2014 International IEEE Conference on Mechatronics and Control (ICMC), Jinzhou, China, 3–5 July 2014; pp. 2414–2419.
58. Liu, M.; Ma, J.; Zhao, Z.; Wang, Q.; Zhang, M. Modeling for management and control integrated intelligent assembly system for mechanical products based on Internet of things. Comput. Integr. Manuf. Syst. 2015, 21, 669–679.
59. Dopico, M.; Gomez, A.; de la Fuente, D.; García, N.; Rosillo, R.; Puche, J. A vision of industry 4.0 from an artificial intelligence point of view. In Proceedings of the International Conference on Artificial Intelligence (ICAI), Las Vegas, NV, USA, 25–28 July 2016; pp. 407–412.
60. Monostori, L. Cyber-physical production systems: Roots, expectations and R&D challenges. Procedia CIRP 2014, 17, 9–13.