nach oben

The International Journal of Advanced Manufacturing Technology

Erschienen in:

10.06.2021 | ORIGINAL ARTICLE

Further expansion from Smart Manufacturing System (SMS) to Smart Manufacturing Implementation System (SMIS): industrial application scenarios and evaluation

verfasst von: Xianyu Zhang, Xinguo Ming

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 11-12/2021

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Various countries in the world have issued policies on smart manufacturing and put forward relevant system architecture, including its hierarchy and component elements. However, from the perspective of implementation, it is necessary to further expand and study the relationship between the elements of the framework and the specific application scenarios. The focus of this study is to plan the specific implementation schemes from top-level planning for industrial practice in smart manufacturing on the basis of existing resources, elements, foundations, environment, standards, and norms. In this paper, industrial application scenarios for Smart Manufacturing Implementation System (SMIS) are deduced through a framework of SMIS. Then, an evaluation method for SMIS using Fuzzy DEMATEL is proposed. This study can provide guidance for enterprises to implement the scheme and steps of smart manufacturing. In addition, the industrial scenarios of SMIS proposed in this paper can provide reference for enterprises’ top-level planning.

Vorheriger Artikel Geometric characteristics of AlSi10Mg ultrathin walls fabricated by selective laser melting with energy density and related process parameters

Nächster Artikel A study on intelligent grinding systems with industrial perspective

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Gnansounou E, Raman JK (2016) Life cycle assessment of algae biodiesel and its co-products. Appl Energy 161(3):300–308 https://www.researchgate.net/publication/283564059CrossRef

Zhao Z, Lin P, Shen L, Zhang M, Huang GQ (2020) IoT edge computing-enabled collaborative tracking system for manufacturing resources in industrial park. In: Advanced Engineering Informatics, p 43. https://doi.org/10.1016/j.aei.2020.101044 <Go to ISI>://WOS:000521114600013CrossRef

Wang L, Fang F, Nikaein N, Cottatellucci L (2016) An analytical framework for multilayer partial frequency reuse scheme design in mobile communication systems. IEEE Trans Veh Technol 65(9):7593–7605 https://ieeexplore.ieee.org/document/7317794CrossRef

Tan D, Zhang L, Ai Q (2019) An embedded self-adapting network service framework for networked manufacturing system. J Intell Manuf 30(2):539–556. https://doi.org/10.1007/s10845-016-1265-3 <Go to ISI>://WOS:000459074200005CrossRef

Dias-Ferreira J, Ribeiro L, Akillioglu H, Neves P, Onori M (2018) BIOSOARM: a bio-inspired self-organising architecture for manufacturing cyber-physical shopfloors. J Intell Manuf 29(7):1659–1682. https://doi.org/10.1007/s10845-016-1258-2 <Go to ISI>://WOS:000445223200016CrossRef

Zhang X, Ming X., Liu Z. et al (2019) A reference framework and overall planning of industrial artificial intelligence (I-AI) for new application scenarios. Int J Adv Manuf Technol 101: 2367–2389. https://doi.org/10.1007/s00170-018-3106-3

Zhang X, Ming X (2020) An implementation for Smart Manufacturing Information System (SMIS) from an industrial practice survey. Comput Ind Eng 151(4):106938

Hu L, Liu Z, Hu W, Wang Y, Tan J, Wu F (2020) Petri-net-based dynamic scheduling of flexible manufacturing system via deep reinforcement learning with graph convolutional network. J Manuf Syst 55:1–14. https://doi.org/10.1016/j.jmsy.2020.02.004 <Go to ISI>://WOS:000541121300001CrossRef

Qu T, Lei SP, Wang ZZ, Nie DX, Chen X, Huang GQ (2016) IoT-based real-time production logistics synchronization system under smart cloud manufacturing. Int J Adv Manuf Technol 84(1-4):147–164CrossRef

10.

Li CZ, Zhong RY, Xue F, Xu G, Chen K, Huang GG, Shen GQ (2017) Integrating RFID and BIM technologies for mitigating risks and improving schedule performance of prefabricated house construction. J Clean Prod 165:1048–1062. https://doi.org/10.1016/j.jclepro.2017.07.156 <Go to ISI>://WOS:000411544400090CrossRef

11.

Cheng L, Yan Z, Xiao Y, Chen Y, Zhang F, Li M (2019) Using big data to track marine oil transportation along the 21st-century Maritime Silk Road. Sci China-Technol Sci 62(4):677–686. https://doi.org/10.1007/s11431-018-9335-1 <Go to ISI>://WOS:000463636500015CrossRef

12.

Papazoglou M, Heuvel WJVD, Mascolo J (2015) Reference architecture and knowledge-based structures for Smart Manufacturing Networks. IEEE Softw 32(3):61–69CrossRef

13.

Kim DB (2019) An approach for composing predictive models from disparate knowledge sources in smart manufacturing environments. J Intell Manuf 30(4):1999–2012. https://doi.org/10.1007/s10845-017-1366-7 <Go to ISI>://WOS:000462014200030CrossRef

14.

Chen RS, Tu M (2009) Development of an agent-based system for manufacturing control and coordination with ontology and RFID technology. Expert Syst Appl 36(4):7581–7593CrossRef

15.

Qian X, Tu J, Lou P (2019) A general architecture of a 3D visualization system for shop floor management. J Intell Manuf 30(4):1531–1545. https://doi.org/10.1007/s10845-017-1335-1 <Go to ISI>://WOS:000462014200002CrossRef

16.

Zhang G, Zhang Y, Zhong R, Wu Y (2019) Extending augmented Lagrangian coordination for the optimal configuration of cloud-based smart manufacturing services with production capacity constraint. Robot Comput Integr Manuf 58:21–32CrossRef

17.

Rodrigues TK, Suto K, Nishiyama H, Liu J, Kato N (2020) Machine learning meets computation and communication control in evolving edge and cloud: challenges and future perspective. Ieee Commu Surv Tutor 22(1):38–67. https://doi.org/10.1109/comst.2019.2943405 <Go to ISI>://WOS:000520934500003CrossRef

18.

Liang YC, Li WD, Lu X, Wang S (2019) Fog computing and convolutional neural network enabled prognosis for machining process optimization. J Manuf Syst 52:32–42. https://doi.org/10.1016/j.jmsy.2019.05.003 <Go to ISI>://WOS:000488660800004CrossRef

19.

Damjanovic-Behrendt V, Behrendt W (2019) An open source approach to the design and implementation of Digital Twins for Smart Manufacturing. Int J Comput Integr Manuf 32(3):1–19

20.

Li J-Q, Yu FR, Deng G, Luo C, Ming Z, Yan Q (2017) Industrial internet: a survey on the enabling technologies, applications, and challenges. Ieee Commu Surv Tutor 19(3):1504–1526. https://doi.org/10.1109/comst.2017.2691349 <Go to ISI>://WOS:000408253800007CrossRef

21.

Lu Y, Asghar MR (2020) Semantic communications between distributed cyber-physical systems towards collaborative automation for smart manufacturing. J Manuf Syst 55:348–359. https://doi.org/10.1016/j.jmsy.2020.05.001 <Go to ISI>://WOS:000541121300027CrossRef

22.

Zhang Y, Wang W, Wei D, Cheng Q, Yang H (2017) Coloured Petri net-based active sensing system of real-time and multi-source manufacturing information for smart factory. Int J Adv Manuf Technol:1–13

23.

Kim DB (2019) An approach for composing predictive models from disparate knowledge sources in smart manufacturing environments. J Intell Manuf 30(1):1–14CrossRef

24.

Oh J, Jeong B (2018) Tactical supply planning in smart manufacturing supply chain. Robot Comput Integr Manuf

25.

Chen T, Lin YC (2016) Feasibility evaluation and optimization of a Smart Manufacturing System based on 3D printing: a review. Int J Intell Syst 32(4)

26.

Denno P, Dickerson C, Harding JA (2018) Dynamic production system identification for smart manufacturing systems. J Manuf Syst:S0278612518300451

27.

Nagadi K, Rabelo L, Basingab M, Sarmiento AT, Jones A, Rahal A (2017) A hybrid simulation-based assessment framework of smart manufacturing systems. Int J Comput Integr Manuf 31(7):1–14

28.

Uva AE, Gattullo M, Manghisi VM, Spagnulo D, Cascella GL, Fiorentino M (2018) Evaluating the effectiveness of spatial augmented reality in smart manufacturing: a solution for manual working stations. Int J Adv Manuf Technol 94(1-4):509–521CrossRef

29.

Kumar A, Baldea M, Edgar TF, Ezekoye O (2015) Smart manufacturing approach for efficient operation of industrial steam-methane reformers. Ind Eng Chem Res 54(16):150112080101000CrossRef

30.

Chang WK, Ramzan MB, Sarkar B, Imran M (2017) Effect of inspection performance in smart manufacturing system based on human quality control system. Int J Adv Manuf Technol 3:1–14

31.

Dou R, He Z, Hsu C-Y (2018) Foreword: Smart manufacturing, innovative product and service design to empower Industry 4.0. Comput Ind Eng 125:514–516. https://doi.org/10.1016/j.cie.2018.08.014 <Go to ISI>://WOS:000449569500041CrossRef

32.

Kang CW, Ramzan MB, Sarkar B, Imran M (2018) Effect of inspection performance in smart manufacturing system based on human quality control system. Int J Adv Manuf Technol 94:4351–4364CrossRef

33.

Kamble S, Gunasekaran A, Ghadge DA, Raut RD (2020) A performance measurement system for Industry 4.0 enabled smart manufacturing system in SMMEs: A review and empirical investigation. Int J Prod Econ 229:107853CrossRef

34.

Lu J, Ou C, Liao C, Zhang Z, Liao X (2020) Formal modelling of a sheet metal smart manufacturing system by using Petri nets and first-order predicate logic. J Intell Manuf 5

35.

Zhang X, Ming X (2020) Reference subsystems for Smart Manufacturing Collaborative System (SMCS) from multi-processes, multi-intersections and multi-operators. Enterpr Inform Syst 14:282–307

36.

Jing L, Hai T, Liu S, Salih SQ, Zain JM, Liu Y, Vivekananda GN, Thanjaivadel M (2020) Internet of things assisted condition-based support for smart manufacturing industry using learning technique. Comput Intell

37.

Moghaddam M, Cadavid MN, Kenley CR, Deshmukh AV (2018) Reference architectures for smart manufacturing: a critical review. J Manuf Syst 49:215–225. https://doi.org/10.1016/j.jmsy.2018.10.006 <Go to ISI>://WOS:000453497200017CrossRef

38.

Lee J, Bagheri B, Kao HA (2015) A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manuf Lett 3:18–23CrossRef

39.

Zhang X, Ming X, Liu Z, Qu Y, Yin D (2019) An overall framework and subsystems for smart manufacturing integrated system (SMIS) from multi-layers based on multi-perspectives. Int J Adv Manuf Technol 103(1):703–722. https://doi.org/10.1007/s00170-019-03593-6CrossRef

40.

Kusiak A (2018) Smart manufacturing. Int J Prod Res 56(1-2):508–517. https://doi.org/10.1080/00207543.2017.1351644 <Go to ISI>://WOS:000428859200031CrossRef

41.

Nayak A, Levalle RR, Lee S, Nof SY (2016) Resource sharing in cyber-physical systems: modelling framework and case studies. Int J Prod Res 54(23):6969–6983 https://www.researchgate.net/publication/295278096CrossRef

42.

Koussouris S, Gionis G, Lampathaki F, Charalabidis Y, Askounis D (2010) Transforming traditional production system transactions to interoperable eBusiness-aware systems with the use of generic process models. Int J Prod Res 48(19):5711–5727 https://www.researchgate.net/publication/233065956CrossRef

43.

Meng L, Luna A, Díaz ER, Sun B, Dragicevic T, Savaghebi M, Vasquez JC, Guerrero JM, Graells M, Andrade F (2016) Flexible system integration and advanced hierarchical control architectures in the microgrid research laboratory of Aalborg University. IEEE Trans Ind Appl 52(2):1736–1749 https://ieeexplore.ieee.org/document/7342941

44.

Mladineo M, Celar S, Celent L, Crnjac M (2018) Selecting manufacturing partners in push and pull-type smart collaborative networks. Adv Eng Inform 38:291–305. https://doi.org/10.1016/j.aei.2018.08.001 <Go to ISI>://WOS:000454378700022CrossRef

45.

Silva AL, Ribeiro R, Teixeira M (2017) Modeling and control of flexible context-dependent manufacturing systems. Inf Sci 421:1–14. https://doi.org/10.1016/j.ins.2017.08.084 <Go to ISI>://WOS:000413056000001MathSciNetCrossRefMATH

46.

Lomakin MI, Mironov AN, Shestopalova OL (2014) Multimodel processing of measurement data in intelligent systems for predicting the reliability of spaceborne equipment. Meas Tech 57(1):8–15CrossRef

47.

Iaksch JS, Borsato M (2019) Method for digital evaluation of existing production systems adequacy to changes in product engineering in the context of the automotive industry. Adv Eng Inform 42. https://doi.org/10.1016/j.aei.2019.100942 <Go to ISI>://WOS:000501389000025

48.

Liu G, Zhang L, Chang L, Al-Ahmari A, Wu N (2020) Robust deadlock control for automated manufacturing systems based on elementary siphon theory. Inf Sci 510:165–182. https://doi.org/10.1016/j.ins.2019.09.018 <Go to ISI>://WOS:000494053000012MathSciNetCrossRef

49.

Feng Y, Xing K, Liu H, Wu Y (2019) Two-stage design method of robust deadlock control for automated manufacturing systems with a type of unreliable resources. Inf Sci 484:286–301. https://doi.org/10.1016/j.ins.2019.01.061 <Go to ISI>://WOS:000461410700018MathSciNetCrossRefMATH

50.

Kobayashi H, Matsumoto T, Fukushige S (2018) A simulation methodology for a system of product life cycle systems. Adv Eng Inform 36:101–111. https://doi.org/10.1016/j.aei.2018.03.001 <Go to ISI>://WOS:000434745800009CrossRef

51.

Zhang X, Ming X, Yin D (2020) Application of industrial big data for smart manufacturing in product service system based on system engineering using fuzzy DEMATEL. J Clean Prod:265. https://doi.org/10.1016/j.jclepro.2020.121863https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084285155&doi=10.1016%2fj.jclepro.2020.121863&partnerID=40&md5=aa7aae37a9fa123fafe0b7d6bcee76e6

Titel: Further expansion from Smart Manufacturing System (SMS) to Smart Manufacturing Implementation System (SMIS): industrial application scenarios and evaluation
verfasst von: Xianyu Zhang
Xinguo Ming
Publikationsdatum: 10.06.2021
Verlag: Springer London
Erschienen in: The International Journal of Advanced Manufacturing Technology / Ausgabe 11-12/2021
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI: https://doi.org/10.1007/s00170-021-07411-w

Premium Partner

Marktübersichten

Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.

Zur Marktübersicht

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 11-12/2021

Designing acceptance sampling plans based on the lifetime performance index under gamma distribution

Cylindricity and flatness optimization for mechanical parts in additive manufacturing based on tolerance adaptive slicing

Modeling and prediction of cutting temperature in the machining of H13 hard steel of multi-layer coated cutting tools

Geometric characteristics of AlSi10Mg ultrathin walls fabricated by selective laser melting with energy density and related process parameters

Anisotropic fracture forming limit curve and its applications for sheet metal forming with complex strain paths of aluminum sheet

Calculation and analysis of rolling force during aluminum alloy thick plate snake/gradient temperature rolling with different roll diameters

Premium Partner

Marktübersichten