34 Cyber Physical System in Inverse Manufacturing
499
Future work includes following topics;
• Development of the functional viewpoint and the implementation viewpoint of
the use case by detailing each activity and the contents of data and information
exchanged among multiples roles in the usage viewpoint,
• Identification of essential functional components as well as their enabling
technologies for realizing customized disassembly services,
• Serious discussion and evaluation on the designed use case with multiple experts
including reuse/recycling plant managers, engineers, and operators as well as
system engineers engaged in development of IIoT based service platform, and
• Quantitative evaluation of cost and profit of DFs after adopting customized disassembly support system so that CDSP and other stakeholders can evaluate their
profitability for generating the service.
References
Benjamin S, Anwer N, Mathieu L, Wartzack S (2017) Shaping the digital twin for design and
production engineering. CIRP Ann Manuf Technol 66(1):141–144
Borgia E (2014) The internet of things vision: key features, applications and open issues. Comput
Commun 54:1–31
Braune A et al (2018) Usage viewpoint of application scenario value-based service, Platform
INDUSTRIE 4.0
Ghosh A, Ullah A, Kubo A (2019) Hidden Markov model-based digital twin construction for
futuristic manufacturing systems. Artif Intell Eng Des Anal Manuf 33(3):317–331
Industrial Internet Consortium (2017), The industrial internet of things volume G1: reference architecture. https://www.iiconsortium.org/IIC_PUB_G1_V1.80_2017-01-31.pdf (Accessed 16, Jan.
2019)
International data spaces association (2019) Reference architecture model version 3.0, https://
www.internationaldataspaces.org/wp-content/uploads/2019/03/IDS-Reference-ArchitectureModel-3.0.pdf
Lanza G, Benjamin Haefner B, Kraemer A (2015) Optimization of selective assembly and adaptive
manufacturing by means of cyber-physical system based matching. CIRP Ann Manuf Technol
64(1):399–402
Lee J, Bagheri B, Kao HA (2015) A cyber-physical systems architecture for industry 4.0-based
manufacturing systems. Manufacturing Letters 3:18–23
Monostori L, Kadar B, Bauernhansl T, Kondoh S, Kumara S, Reinhart G, Sauer O, Schuh G,
Sihn W, Ueda K (2016) Cyber-physical system in manufacturing. CIRP Ann Manuf Technol
65(2):621–641
Park K-J, Zheng R, Liu X (2012) Cyber-physical systems: milestones and research challenges.
Editorial Comp Commun 36(1):1–7
Riel A, Kreiner C, Messnarz R, Mch A (2018) An architectural approach to the integration of
safety and security requirements in smart products and system design. CIRP Ann Manuf Technol
67(1):173–176
Tao F, Zhang M, Liu Y, Nee AYC (2018) Digital twin driven prognostics and health management
for complex equipment. CIRP Ann Manuf Technol 67(1):169–172
Törngren M, Grogan PT (2018) How to deal with the complexity of future cyber-physical systems?
Designs 2:40
499
Future work includes following topics;
• Development of the functional viewpoint and the implementation viewpoint of
the use case by detailing each activity and the contents of data and information
exchanged among multiples roles in the usage viewpoint,
• Identification of essential functional components as well as their enabling
technologies for realizing customized disassembly services,
• Serious discussion and evaluation on the designed use case with multiple experts
including reuse/recycling plant managers, engineers, and operators as well as
system engineers engaged in development of IIoT based service platform, and
• Quantitative evaluation of cost and profit of DFs after adopting customized disassembly support system so that CDSP and other stakeholders can evaluate their
profitability for generating the service.
References
Benjamin S, Anwer N, Mathieu L, Wartzack S (2017) Shaping the digital twin for design and
production engineering. CIRP Ann Manuf Technol 66(1):141–144
Borgia E (2014) The internet of things vision: key features, applications and open issues. Comput
Commun 54:1–31
Braune A et al (2018) Usage viewpoint of application scenario value-based service, Platform
INDUSTRIE 4.0
Ghosh A, Ullah A, Kubo A (2019) Hidden Markov model-based digital twin construction for
futuristic manufacturing systems. Artif Intell Eng Des Anal Manuf 33(3):317–331
Industrial Internet Consortium (2017), The industrial internet of things volume G1: reference architecture. https://www.iiconsortium.org/IIC_PUB_G1_V1.80_2017-01-31.pdf (Accessed 16, Jan.
2019)
International data spaces association (2019) Reference architecture model version 3.0, https://
www.internationaldataspaces.org/wp-content/uploads/2019/03/IDS-Reference-ArchitectureModel-3.0.pdf
Lanza G, Benjamin Haefner B, Kraemer A (2015) Optimization of selective assembly and adaptive
manufacturing by means of cyber-physical system based matching. CIRP Ann Manuf Technol
64(1):399–402
Lee J, Bagheri B, Kao HA (2015) A cyber-physical systems architecture for industry 4.0-based
manufacturing systems. Manufacturing Letters 3:18–23
Monostori L, Kadar B, Bauernhansl T, Kondoh S, Kumara S, Reinhart G, Sauer O, Schuh G,
Sihn W, Ueda K (2016) Cyber-physical system in manufacturing. CIRP Ann Manuf Technol
65(2):621–641
Park K-J, Zheng R, Liu X (2012) Cyber-physical systems: milestones and research challenges.
Editorial Comp Commun 36(1):1–7
Riel A, Kreiner C, Messnarz R, Mch A (2018) An architectural approach to the integration of
safety and security requirements in smart products and system design. CIRP Ann Manuf Technol
67(1):173–176
Tao F, Zhang M, Liu Y, Nee AYC (2018) Digital twin driven prognostics and health management
for complex equipment. CIRP Ann Manuf Technol 67(1):169–172
Törngren M, Grogan PT (2018) How to deal with the complexity of future cyber-physical systems?
Designs 2:40