Abstract
The successful realization of Industry 4.0 depends much on how coherently the cyber and physical realms are conjoined in cyber-physical systems. In the context of the fourth industrial revolution, research efforts have mostly been channeled toward the cyber domain, whereas the physical domain has received significantly lesser consideration. A physical domain generally comprises material shaping equipment, work material, tools, working medium, sensors, automation technology, and connectivity mechanisms. The article provides a comprehensive review of the published literature to establish the states of readiness of the two most important manufacturing technologies: subtractive and additive and their sustainable merger from the perspective of Industry 4.0. Rich potentials in the four characteristics at the process level: speed, sustainability, agility, and customer centricity and three at the system level: connectivity, data collection, and automation are required for a manufacturing system (physical domain) to be Industry 4.0 compatible. The review establishes that the subtractive manufacturing domain is nearly compatible regarding speed and agility but needs improvements in respect of sustainability and customer centricity. Additive manufacturing, on the other hand, appears strong on agility and customer-centricity fronts but needs amelioration regarding production speed and sustainability. In respect of the system level characteristics, both technologies seem to be compatible regarding automation, whereas significant improvements are required in connectivity and data sensing and collection. For the sake of raising compatibility levels of the manufacturing systems, subtractive-additive amalgamation is scrutinized. The amalgamation, especially in a done-in-one configuration, has, reportedly, succeeded to retain the favorable traits of the two manufacturing technologies, thus, bringing the merger much closer to the Industry 4.0 requirements. Proper process planning and optimal work distribution between the subtractive and additive modes are critical for operating an amalgamated system at high levels of the key characteristics.
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References
Riel A, Kreiner C, Macher G, Messnarz R (2017) Integrated design for tackling safety and security challenges of smart products and digital manufacturing. CIRP Ann Manuf Technol 66(1):177–180. https://doi.org/10.1016/j.cirp.2017.04.037
Chen D, Heyer S, Ibbotson S, Salonitis K, Steingrímsson JG, Thiede S (2015) Direct digital manufacturing: definition, evolution, and sustainability implications. J Clean Prod 107:615–625. https://doi.org/10.1016/j.jclepro.2015.05.009
Beyond the vision: realizing the promise of Industry 4.0. Cognizant (July 2019). https://www.cognizant.com/whitepapers/beyond-the-vision-realizing-the-promise-of-industry-4-codex4719.pdf. Accessed 17 December 2019
Alcácer V, Cruz-Machado V (2019) Scanning the industry 4.0: a literature review on technologies for manufacturing systems. Eng Sci Technol Int J 22:899–919. https://doi.org/10.1016/j.jestch.2019.01.006
Schieberl J, Nickles M (2014) Outsourcing US jobs abroad: why? Int Bus Econ Res J 13(2):253. https://doi.org/10.19030/iber.v13i2.8439
Michael B, Michael R (2012) Outsourcing: mass layoffs and displaced workers’ experiences. Manag Res Rev 35(11):1029–1045. https://doi.org/10.1108/01409171211276927
Bals L, Kirchoff JF, Foerstl K (2016) Exploring the reshoring and insourcing decision making process: toward an agenda for future research. Oper Manag Res 9(3–4):102–116. https://doi.org/10.1007/s12063-016-0113-0
Müller J, Dotzauer V, Voigt KI (2017) Industry 4.0 and its impact on reshoring decisions of German manufacturing enterprises. In: Bode C, Bogaschewsky R, Eßig M, Lasch R, Stölzle W (eds) Supply management research. Advanced studies in supply management. Springer Gabler, Wiesbaden, pp 165–179. https://doi.org/10.1007/978-3-658-18632-6_8
Zhou J, Li P, Zhou Y, Wang B, Zang J, Meng L (2018) Toward new-generation intelligent manufacturing. Engineering 4(1):11–20. https://doi.org/10.1016/j.eng.2018.01.002
Kusiak A (2018) Smart manufacturing. Int J Prod Res 56(1–2):508–517. https://doi.org/10.1080/00207543.2017.1351644
Dilberoglu UM, Gharehpapagh B, Yaman U, Dolen M (2017) The role of additive manufacturing in the era of industry 4.0. Proc Manuf 11:545–554. https://doi.org/10.1016/j.promfg.2017.07.148
Federal Ministry of Education and Research, Germany. Industrie 4.0. https://www.bmbf.de/de/zukunftsprojekt-industrie-4-0-848.html. Accessed 18 December, 2019
Liao Y, Deschamps F, Loures ED, Ramos LF (2017) Past, present and future of Industry 4.0-a systematic literature review and research agenda proposal. Int J Prod Res 55(12):3609–3629. https://doi.org/10.1080/00207543.2017.1308576
Earls A. From Germany to the world: Industry 4.0; Smart Industry Forum https://www.smartindustry.com/blog/smart-industry-connect/from-germany-to-the-world-industry-4-0/. Accessed 18 December, 2019
Federal Ministry of Labor and Social Affairs of Germany (2015) Re-Imagining Work: White Paper Work 4.0
Mittelmann A (2018) Competence development for work 4.0. In: North K, Maier R, Haas O (eds) Knowledge management in digital change. Progress in IS. Springer, Cham, pp 263–275
Kagermann H, Lukas W, Wahlster W (2011) Industry 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. Industryllen Revolution. VDI nachrichten 13(1):1090–1100
Kagermann H, Wahlster W, Helbig J (2013) Umsetzungsempfehlungen für das Zukunftsprojekt Industrie 4.0 – Abschlussbericht des Arbeitskreises Industrie 4.0. Acatech: National Academy of Science & Engineering, Germany
Davis J, Edgar T, Porter J, Bernaden J, Sarli M (2012) Smart manufacturing, manufacturing intelligence and demand-dynamic performance. Comput Chem Eng 47:145–156. https://doi.org/10.1016/j.compchemeng.2012.06.037
Kiel D, Müller JM, Arnold C, Voigt KI (2017) Sustainable industrial value creation: benefits and challenges of industry 4.0. Int J Innov Manag 21(08):1740015. https://doi.org/10.1142/S1363919617400151
Monostori L, Csáji BC, Kádár B, Pfeiffer A, Ilie-Zudor E, Kemény Z, Szathmári M (2010) Towards adaptive and digital manufacturing. Annu Rev Control 34(1):118–128. https://doi.org/10.1016/j.arcontrol.2010.02.007
Zhong RY, Xu X, Klotz E, Newman ST (2017) Intelligent manufacturing in the context of Industry 4.0: a review. Engineering 3(5):616–630. https://doi.org/10.1016/J.ENG.2017.05.015
Bauernhansl PDT, Diegner B, Diemer J, Dümmler M, Eckert C, Herfs W, Kalhoff J (2014) Industrie 4.0. Whitepaper FuE - Themen der Plattform Industrie. http://www.zvei.org/Downloads/Automation/Whitepaper-I40-FuE-Themen-2015-04.pdf
Stock T, Seliger G (2016) Opportunities of sustainable manufacturing in industry 4.0. Proc CIRP 40:536–541. https://doi.org/10.1016/j.procir.2016.01.129
Promises and constraints around Industry 4.0 revolution; Prophetic Technologies. https://blog.prophetic-technology.com/promises-and-constraints-around-industry-4.0-revolution. Accessed 22 Dec 2019
Milovanović G, Milovanović S, Radisavljević G (2017) Globalization: the key challenge of modern supply chains. Ekonomika. 63(1):31–40
Davis N, O’Halloran D. The fourth industrial revolution is driving globalization 4.0. World Economic Forum; https://www.weforum.org/agenda/2018/11/the-fourth-industrial-revolution-is-driving-a-new-phase-of-globalization/. Accessed 23 December 2019
Gubán M, Kovács G (2017) Industry 4.0 conception. Acta Technica Corviniensis Bull Eng 10(1):111–114
Pearsall K. Manufacturing supply chain challenges-globalization and IOT. In: 6th Electronic System-Integration Technology Conference (ESTC) 2016 Sep 13 (pp. 1-5). IEEE. https://doi.org/10.1109/ESTC.2016.7764487
Khurana A, Geissbauer R, Arora J. Industry 4.0 is accelerating globalisation, but with a distinctly regional flavor; PWC Middle East. https://www.pwc.com/m1/en/publications/industry-40-survey/globalisation-distinctly-regional-flavour.html. Accessed 23 December 2019
Lee MX, Lee YC, Chou CJ (2017) Essential implications of the digital transformation in industry 4.0. J Sci Ind Res 76(08):465–467 http://nopr.niscair.res.in/handle/123456789/42548
Schwab K. Globalization 4.0–what does it mean? World Economic Forum 2019. https://www.weforum.org/agenda/2018/11/globalization-4-what-does-it-mean-how-it-will-benefit-everyone/. Accessed 23 December 2019
Johnson DG (2002) Globalization: what it is and who benefits. J Asian Econ 13(4):427–439. https://doi.org/10.1016/S1049-0078(02)00162-8
Stearns PN (2016) Globalization in world history, 2nd edn. Routledge, New York
Collins M. The pros and cons of globalization. Forbes. https://www.forbes.com/sites/mikecollins/2015/05/06/the-pros-and-cons-of-globalization/#6be27cc2ccce. Accessed 23 December 2019
Sustainable Development Goals; United Nations. https://sustainabledevelopment.un.org/?menu=1300. Accessed 23 December 2019
Sachs J, Schmidt-Traub G, Kroll C, Lafortune G, Fuller G (2019) Sustainable development report 2019. Bertelsmann Stiftung and Sustainable Development Solutions Network (SDSN), New York
Stock T, Obenaus M, Kunz S, Kohl H (2018) Industry 4.0 as enabler for a sustainable development: a qualitative assessment of its ecological and social potential. Proc Saf Environ Prot 118:254–267. https://doi.org/10.1016/j.psep.2018.06.026
Papyshev GD (2017) Impact of Industry 4. 0 on sustainable development. Международный журнал гуманитарных и естественных наук. Int J Hum Nat Sci 7. https://cyberleninka.ru/article/n/impact-of-industry-4-0-on-sustainable-development
Bonilla SH, Silva HR, Terra da Silva M, Franco Gonçalves R, Sacomano JB (2018) Industry 4.0 and sustainability implications: a scenario-based analysis of the impacts and challenges. Sustainability 10(10):3740. https://doi.org/10.3390/su10103740
Tsvetkova R (2017) What does Industry 4.0 mean for sustainable development? Industry 4.0. 2(6):294–297
The United Nations Development Programme (2018) Development 4.0: Opportunities and challenges for accelerating progress towards the sustainable development goals in Asia and the Pacific. https://www.asia-pacific.undp.org/content/rbap/en/home/library/sustainable-development/Asia-Pacific-Development-40.html
de Sousa Jabbour AB, Jabbour CJ, Godinho Filho M, Roubaud D (2018) Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations. Ann Oper Res 270(1–2):273–286. https://doi.org/10.1007/s10479-018-2772-8
Zawadzki P, Żywicki K (2016) Smart product design and production control for effective mass customization in the Industry 4.0 concept. Man Prod Eng Rev 7(3):105–112. https://doi.org/10.1515/mper-2016-0030
Murphie C. How Industry 4.0 supports flexibility and mass customization; SL Controls; https://slcontrols.com/how-industry-4-0-supports-flexibility-and-mass-customisation/. Accessed 3 January 2020
Wang Y, Ma HS, Yang JH, Wang KS (2017) Industry 4.0: a way from mass customization to mass personalization production. Adv Manuf 5(4):311–320. https://doi.org/10.1007/s40436-017-0204-7
Karaköse M, Yetiş H (2017) A cyberphysical system based mass-customization approach with integration of Industry 4.0 and smart city. Wirel Commun Mob Comput. https://doi.org/10.1155/2017/1058081
Armengaud E, Sams C, Von Falck G, List G, Kreiner C, Riel A (2017) Industry 4.0 as digitalization over the entire product lifecycle: opportunities in the automotive domain. In: European Conference on Software Process Improvement 2017 Sep 6, pp 334-351. Springer, Cham. https://doi.org/10.1007/978-3-319-64218-5_28
Chhetri SR, Faezi S, Rashid N, Al Faruque MA (2018) Manufacturing supply chain and product lifecycle security in the era of industry 4.0. J Hardware Syst Sec 2(1):51–68. https://doi.org/10.1007/s41635-017-0031-0
Ferreira FD, Faria J, Azevedo A, Marques AL (2016) Product lifecycle management enabled by Industry 4.0 technology. INESCTEC Documents Repository. https://repositorio.inesctec.pt/handle/123456789/6854. Accessed 15 February 2020
Qi Q, Tao F (2018) Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison. IEEE Access 6:3585–3593. https://doi.org/10.1109/ACCESS.2018.2793265
Olsen TL, Tomlin B (2020) Industry 4.0: opportunities and challenges for operations management. Manuf Serv Oper Manag 22(1):113–122. https://doi.org/10.1287/msom.2019.0796
Aheleroff S, Xu X, Lu Y, Aristizabal M, Velásquez JP, Joa B, Valencia Y (2020) IoT-enabled smart appliances under industry 4.0: a case study. Adv Eng Inf 43:101043. https://doi.org/10.1016/j.aei.2020.101043
Majstorovic VD, Durakbasa NM, Mourtzis D, Vlachou E (2016) Cloud-based cyber-physical systems and quality of services. TQM J 28(5):704–733. https://doi.org/10.1108/TQM-10-2015-0133
Belli L, Davoli L, Medioli A, Marchini PL, Ferrari G (2019) Towards industry 4.0 with IoT: optimizing business processes in an evolving manufacturing factory. Front ICT 6:17. https://doi.org/10.3389/fict.2019.00017
Gering P, Drange P (2019) Industry 4.0 out of the box. In: Enterprise Interoperability VIII. Proc I-ESA Conf 9:45–53. Springer, Cham. https://doi.org/10.1007/978-3-030-13693-2_4
Brettel M, Friederichsen N, Keller M, Rosenberg M (2014) How virtualization, decentralization and network building change the manufacturing landscape: an Industry 4.0 perspective. Int J Mech Aerospace Ind Mechatron Manuf Eng 8(1):37–44
Popkova EG, Zmiyak KV (2019) Priorities of training of digital personnel for industry 4.0: social competencies vs technical competencies. Horizon 27(3/4):138–144. https://doi.org/10.1108/OTH-08-2019-0058
Bautista-Moncada C, Buhangin JF, Angalan NQ (2020) Review of industry 4.0 competencies and virtual learning environment in engineering education. Int J Eng Educ 36(1A):40–47
Low SP, Gao S, Ng EW (2019) Future-ready project and facility management graduates in Singapore for industry 4.0. Eng Constr Archit Manag. https://doi.org/10.1108/ECAM-08-2018-0322
Queiruga-Dios A, Bullón Pérez J, Hernández Encinas A, Rodríguez Sánchez G, Martín Rey A, Martín-Vaquero J (2017) Case study: engineering education, Industry 4.0, security, and competencies-based assessment. Proceedings of the 45th SEFI Annual Conference 2017 - Education Excellence for Sustainability, p 1410–1416
Bermúdez MD, Juárez BF (2017) Competencies to adopt Industry 4.0 for operations management personnel at automotive parts suppliers in Nuevo Leon. In: Proceedings of the International Conference on Industrial Engineering and Operations Management, Bogota, Columbia, p 736–747
Longo F, Nicoletti L, Padovano A (2017) Smart operators in industry 4.0: a human-centered approach to enhance operators’ capabilities and competencies within the new smart factory context. Comp Ind Eng 113:144–159. https://doi.org/10.1016/j.cie.2017.09.016
Boothroyd G, Knight WA (2006) Fundamentals of machining and machine tools, 3rd edn. CRC Press, Boca Raton
Shaw MC, Cookson JO (2005) Metal cutting principles. Oxford university press, New York
Rao RV (2011) Modeling and optimization of modern machining processes. In: Advanced modeling and optimization of manufacturing processes: Springer series in Advanced Manufacturing. Springer-Verlag London Ltd, pp 177–284
Trent EM, Wright PK (2000) Metal cutting, 4th edn Butterworth-Heinemann, Woburn
Fortune Business Insights. Machining centers market size, share & industry analysis, by product (vertical machining center, horizontal machining center, others), by application (automotive, general machinery, precision machinery, transport machinery, others) and regional forecast, 2019–2026. Report ID.: FBI101770, Dec. 2019. https://www.fortunebusinessinsights.com/industry-reports/machining-centers-market-101770. Accessed 25 February 2020
Kim YS, Wang E (2002) Recognition of machining features for cast then machined parts. Comput Aided Des 34(1):71–87. https://doi.org/10.1016/S0010-4485(01)00058-6
Paul S, Chattopadhyay AB (2006) Environmentally conscious machining and grinding with cryogenic cooling. Mach Sci Technol 10(1):87–131. https://doi.org/10.1080/10910340500534316
Benedict GF (2017) Nontraditional manufacturing processes. CRC Press, Boca Raton. https://doi.org/10.1201/9780203745410
Gao S, Huang H (2017) Recent advances in micro-and nano-machining technologies. Front Mech Eng 12(1):18–32. https://doi.org/10.1007/s11465-017-0410-9
Woronko A, Huang J, Altintas Y (2003) Piezoelectric tool actuator for precision machining on conventional CNC turning centers. Precis Eng 27(4):335–345. https://doi.org/10.1016/S0141-6359(03)00040-0
Mecomber JS, Hurd D, Limbach PA (2005) Enhanced machining of micron-scale features in microchip molding masters by CNC milling. Int J Mach Tools Manuf 45(12–13):1542–1550. https://doi.org/10.1016/j.ijmachtools.2005.01.016
Fitzpatrick M (2019) Machining and CNC technology, 4th edn. McGraw-Hill Education, New York
Sudo M (2007) Advanced control technologies for 5-axis machining. Int J Autom Technol 1(2):108–112
Yang P, Ye SW, Peng YF (2017) Three-dimensional profile stitching measurement for large aspheric surface during grinding process with sub-micron accuracy. Precis Eng 47:62–71. https://doi.org/10.1016/j.precisioneng.2016.07.005
Egashira K, Kumagai R, Okina R, Yamaguchi K, Ota M (2014) Drilling of microholes down to 10 μm in diameter using ultrasonic grinding. Precis Eng 38(3):605–610. https://doi.org/10.1016/j.precisioneng.2014.02.010
Lee BE, Exir H, Weck A, Grandfield K (2018) Characterization and evaluation of femtosecond laser-induced sub-micron periodic structures generated on titanium to improve osseointegration of implants. App Surf Sci 441:1034–1042. https://doi.org/10.1016/j.apsusc.2018.02.119
Black JT, Kohser RA (2019) DeGarmo’s materials and processes in manufacturing, 13th edn. Wiley Publishing, Hoboken
Schneider G (2009) Cutting tool applications. In: Machinability of metals. American Machinist. https://www.americanmachinist.com/cutting-tools/media-gallery/21895130/chapter-3-machinability-of-metals-cutting-tool-applications
Ezugwu EO, Bonney J, Yamane Y (2003) An overview of the machinability of aeroengine alloys. J Mater Process Technol 134(2):233–253. https://doi.org/10.1016/S0924-0136(02)01042-7
Keresztes R, Kalácska G, Zsidai L, Dobrocsi Z (2011) Machinability of engineering polymers. Sustaain Construct Des 2(1):106
Karataş MA, Gökkaya H (2018) A review on machinability of carbon fiber reinforced polymer (CFRP) and glass fiber reinforced polymer (GFRP) composite materials. Def Technol 14(4):318–326. https://doi.org/10.1016/j.dt.2018.02.001
Iqbal A, Dar NU, He N, Khan I, Li L (2009) Optimizing cutting parameters in minimum quantity of lubrication milling of hardened cold work tool steel. Proc Inst Mech Eng B J Eng Manuf 223(1):43–54. https://doi.org/10.1243/09544054JEM1231
Axinte DA, Dewes RC (2002) Surface integrity of hot work tool steel after high speed milling-experimental data and empirical models. J Mater Process Technol 127(3):325–335. https://doi.org/10.1016/S0924-0136(02)00282-0
Cheng C, Wang Z, Hung W, Bukkapatnam ST, Komanduri R (2015) Ultra-precision machining process dynamics and surface quality monitoring. Process Manuf 1:607–618. https://doi.org/10.1016/j.promfg.2015.09.044
Brinksmeier E, Mutlugünes Y, Klocke F, Aurich JC, Shore P, Ohmori H (2010) Ultra-precision grinding. CIRP Ann 59(2):652–671. https://doi.org/10.1016/j.cirp.2010.05.001
Stephenson DJ, Veselovac D, Manley S, Corbett J (2001) Ultra-precision grinding of hard steels. Precis Eng 25(4):336–345. https://doi.org/10.1016/S0141-6359(01)00087-3
Evans J, Paul E, Dornfeld D, Lucca D, Byrne G, Tricard M, Klocke F, Dambon O, Mullany B (2003) Material removal mechanisms in lapping and polishing, STC “G” keynote. CIRP Ann 52(2):611–633
Saraswathamma K (2014) Magnetorheological finishing: a review. Int J Curr Eng Technol (Special Issue-2). https://doi.org/10.14741/ijcet/spl.2.2014.30
Venkatakrishnan K, Tan B, Sivakumar NR (2002) Sub-micron ablation of metallic thin film by femtosecond pulse laser. Opt Laser Technol 34(7):575–578. https://doi.org/10.1016/S0030-3992(02)00074-9
Karimi S, Mehrdel P, Casals-Terré J, Farré-Llados J (2020) Cost-effective microfabrication of sub-micron-depth channels by femto-laser anti-stiction texturing. Biofabrication. 12(2):025021. https://doi.org/10.1088/1758-5090/ab6665
Nasrollahi V, Penchev P, Jwad T, Dimov S, Kim K, Im C (2018) Drilling of micron-scale high aspect ratio holes with ultra-short pulsed lasers: critical effects of focusing lenses and fluence on the resulting holes’ morphology. Opt Lasers Eng 110:315–322. https://doi.org/10.1016/j.optlaseng.2018.04.024
Mourtzis D, Vlachou E, Milas N, Xanthopoulos N (2016) A cloud-based approach for maintenance of machine tools and equipment based on shop-floor monitoring. Proc CIRP 41:655–660. https://doi.org/10.1016/j.procir.2015.12.069
Liu C, Li Y, Hao X (2017) An adaptive machining approach based on in-process inspection of interim machining states for large-scaled and thin-walled complex parts. Int J Adv Manuf Technol 90(9–12):3119–3128. https://doi.org/10.1007/s00170-016-9647-4
Liu C, Vengayil H, Zhong RY, Xu X (2018) A systematic development method for cyber-physical machine tools. J Manuf Syst 48:13–24. https://doi.org/10.1016/j.jmsy.2018.02.001
Boljanovic V (2010) Metal shaping processes: casting and molding, particulate processing, deformation processes, and metal removal. Industrial Press Inc., New York
Boothroyd G, Dewhurt P, Knight WA (2011) Product design for manufacture and assembly, 3rd edn. CRC Press, Boca Raton
Iqbal A, Zhang HC, Kong LL, Hussain G (2015) A rule-based system for trade-off among energy consumption, tool life, and productivity in machining process. J Intell Manuf 26(6):1217–1232. https://doi.org/10.1007/s10845-013-0851-x
Jain NK, Jain VK (2001) Modeling of material removal in mechanical type advanced machining processes: a state-of-art review. Int J Mach Tools Manuf 41(11):1573–1635. https://doi.org/10.1016/S0890-6955(01)00010-4
Sculz B (2017) Aluminum material removal rate new world record? Modern Machine Shop. https://www.mmsonline.com/blog/post/aluminum-material-removal-rate-new-world-record. Accessed 29 March 2020
Jha SK (2014) Optimization of process parameters for optimal MRR during turning steel bar using Taguchi method and ANOVA. Int J Mech Eng Robot Res 3(3):231–243
Uhlmann E, Frost T (2001) Cutting and drilling of metals and other materials: a comparison. In: Encyclopedia of materials: science and technology, 2nd edn, pp 1928–1933. https://doi.org/10.1016/B0-08-043152-6/00351-X
Hegab HA, Darras B, Kishawy HA (2018) Towards sustainability assessment of machining processes. J Clean Prod 170:694–703. https://doi.org/10.1016/j.jclepro.2017.09.197
Al-Ghamdi KA, Iqbal A (2015) A sustainability comparison between conventional and high-speed machining. J Clean Prod 108:192–206. https://doi.org/10.1016/j.jclepro.2015.05.132
Iqbal A, Al-Ghamdi KA, Hussain G (2016) Effects of tool life criterion on sustainability of milling. J Clean Prod 139:1105–1117. https://doi.org/10.1016/j.jclepro.2016.08.162
Gutowski T, Dahmus J, Thiriez A (2006) Electrical energy requirements for manufacturing processes. In: 13th CIRP International Conference on Life Cycle Engineering. Leuven, Belgium; 31(1): 623–638
Zhao GY, Liu ZY, He Y, Cao HJ, Guo YB (2017) Energy consumption in machining: classification, prediction, and reduction strategy. Energy 133:142–157. https://doi.org/10.1016/j.energy.2017.05.110
Yoon HS, Lee JY, Kim HS, Kim MS, Kim ES, Shin YJ, Chu WS, Ahn SH (2014) A comparison of energy consumption in bulk forming, subtractive, and additive processes: review and case study. Int J Precis Eng Manuf Green Technol 1(3):261–279. https://doi.org/10.1007/s40684-014-0033-0
Dahmus JB, Gutowski TG (2004) An environmental analysis of machining. In: ASME 2004 International mechanical engineering congress and exposition, pp 643-652. ASME Digital Collection
Newman ST, Nassehi A (2007) Universal manufacturing platform for CNC machining. CIRP Ann 56(1):459–462. https://doi.org/10.1016/j.cirp.2007.05.110
Elbestawi MA, Veldhuis SC, Deiab IM, Habel MJ, Roberts C (2002) Development of a novel modular and agile face machining technology. CIRP Ann 51(1):307–310. https://doi.org/10.1016/S0007-8506(07)61523-6
Guergov S (2018) A review and analysis of the historical development of machine tools into complex intelligent mechatronic systems. J Mach Eng 18(1):107–119. https://doi.org/10.5604/01.3001.0010.8828
Nakamoto K, Takeuchi Y (2017) Recent advances in multiaxis control and multitasking machining. Int J Autom Technol 11(2):140–154. https://doi.org/10.20965/ijat.2017.p0140
Chen XS, Zhang DL, Yuan SM, Zhang X, Chen JY, Du RX (2013) A precision CNC turn-mill machining center with gear hobbing capability. Appl Mech Mater 300:1241–1249. https://doi.org/10.4028/www.scientific.net/AMM.300-301.1241
Vinodh S, Sundararaj G, Devadasan SR, Rajanayagam D (2009) Agility through CAD/CAM integration. J Manuf Technol Manag 20(2):197–217. https://doi.org/10.1108/17410380910929628
Revolutionizing customer service in manufacturing (Special Report) (2016) Salesforce Research. https://c1.sfdcstatic.com/content/dam/web/en_us/www/images/form/pdf/pdf/state-of-service-manufacturing.pdf. Accessed 31 March 2020
Fountain M (2017) Some clever ways companies use agile manufacturing to compete. SAGE Automation. https://www.sageautomation.com/blog/four-clever-ways-companies-use-agile-manufacturing-to-compete. Accessed 31 March 2020
Al-Saedi IR, Mohammed FM, Obayes SS (2017) CNC machine based on embedded wireless and internet of things for workshop development. In: International Conference on Control, Automation and Diagnosis (ICCAD), pp 439-444. IEEE. https://doi.org/10.1109/CADIAG.2017.8075699
Yu H, Yu D, Hu Y, Wang C (2019) Research on CNC machine tool monitoring system based on OPC UA. In: Chinese Control and Decision Conference (CCDC), pp 3489-3493. IEEE. https://doi.org/10.1109/CCDC.2019.8832877
Cai Y, Starly B, Cohen P, Lee YS (2017) Sensor data and information fusion to construct digital-twins virtual machine tools for cyber-physical manufacturing. Proc Manuf 10:1031–1042. https://doi.org/10.1016/j.promfg.2017.07.094
Bagheri B, Yang S, Kao HA, Lee J (2015) Cyber-physical systems architecture for self-aware machines in Industry 4.0 environment. IFAC-Papers OnLine 48(3):1622–1627. https://doi.org/10.1016/j.ifacol.2015.06.318
Liu C, Cao S, Tse W, Xu X (2017) Augmented reality-assisted intelligent window for cyber-physical machine tools. J Manuf Syst 44:280–286. https://doi.org/10.1016/j.jmsy.2017.04.008
Herwan J, Kano S, Oleg R, Sawada H, Kasashima N (2018) Cyber-physical system architecture for machining production line. In: IEEE Industrial Cyber-Physical Systems (ICPS), pp 387-391. IEEE. https://doi.org/10.1109/ICPHYS.2018.8387689
Li XX, He FZ, Li WD (2019) A cloud-terminal-based cyber-physical system architecture for energy efficient machining process optimization. J Ambient Intell Humaniz Comput 10(3):1049–1064. https://doi.org/10.1007/s12652-018-0832-1
Caggiano A, Segreto T, Teti R (2016) Cloud manufacturing framework for smart monitoring of machining. Proc CIRP 55:248–253. https://doi.org/10.1016/j.procir.2016.08.049
Zhu K, Zhang Y (2018) A cyber-physical production system framework of smart CNC machining monitoring system. IEEE/ASME Trans Mechatron 23(6):2579–2586. https://doi.org/10.1109/TMECH.2018.2834622
Armendia M, Cugnon F, Berglind L, Ozturk E, Gil G, Selmi J (2019) Evaluation of machine tool digital twin for machining operations in industrial environment. Proc CIRP 82:231–236. https://doi.org/10.1016/j.procir.2019.04.040
Calderón Godoy AJ, González PI (2018) Integration of sensor and actuator networks and the scada system to promote the migration of the legacy flexible manufacturing system towards the industry 4.0 concept. J Sens Actuator Netw 7(2):23. https://doi.org/10.3390/jsan7020023
Ye X, Hong SH (2018) An AutomationML/OPC UA-based Industry 4.0 solution for a manufacturing system. In 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), vol. 1, pp 543-550. IEEE. https://10.1109/ETFA.2018.8502637
Cheng FT, Tieng H, Yang HC, Hung MH, Lin YC, Wei CF, Shieh ZY (2016) Industry 4.1 for wheel machining automation. IEEE Robot Auto Let 1(1):332–339. https://doi.org/10.1109/LRA.2016.2517208
Liu C, Vengayil H, Lu Y, Xu X (2019) A cyber-physical machine tools platform using OPC UA and MTConnect. J Manuf Syst 51:61–74. https://doi.org/10.1016/j.jmsy.2019.04.006
Nazarczuk M, Cader M, Kowalik M, Jankowski M (2019) Proposition of the methodology of the robotised part replication implemented in Industry 4.0 paradigm. In: Conference on Automation, pp 457–472. Springer, Cham. pp 457–472. https://doi.org/10.1007/978-3-030-13273-6_43
de Araujo PR, Lins RG (2020) Computer vision system for workpiece referencing in three-axis machining centers. Int J Adv Manuf Technol 106(5):2007–2020. https://doi.org/10.1007/s00170-019-04626-w
Huang R, Yan B (2019) Development of wire electrical discharge machining control system based on cloud service. In: IEEE International Conference on Robotics and Biomimetics (ROBIO), pp 2849-2854. IEEE. https://doi.org/10.1109/ROBIO49542.2019.8961407
Attaran M (2017) The rise of 3-D printing: the advantages of additive manufacturing over traditional manufacturing. Bus Horiz 60(5):677–688. https://doi.org/10.1016/j.bushor.2017.05.011
Gibson I, Rosen DW, Stucker B (2014) Additive manufacturing technologies. Springer, New York
Standard AS (2012) Standard terminology for additive manufacturing technologies. ASTM International F2792-12a. West Conshohocken, PA
Hull CW (1984) Apparatus for production of three-dimensional objects by stereolithography. United States Patent, Appl., No. 638905, Filed
Lopez A, Andrade E (2017) Vat photopolymerisation. Prezi online learning. https://prezi.com/bysanqpooizv/vat-photopolymerisation/. Accessed 26 Apr 2020
McIlroy C, Harlen OG, Morrison NF (2013) Modelling the jetting of dilute polymer solutions in drop-on-demand inkjet printing. J Non-Newtonian Fluid Mech 201:17–28. https://doi.org/10.1016/j.jnnfm.2013.05.007
Yap YL, Wang C, Sing SL, Dikshit V, Yeong WY, Wei J (2017) Material jetting additive manufacturing: an experimental study using designed metrological benchmarks. Precis Eng 50:275–285. https://doi.org/10.1016/j.precisioneng.2017.05.015
Le Néel TA, Mognol P, Hascoët JY (2018) A review on additive manufacturing of sand molds by binder jetting and selective laser sintering. Rapid Prototyp J 24(8):1325–1336. https://doi.org/10.1108/RPJ-10-2016-0161
Gokuldoss PK, Kolla S, Eckert J (2017) Additive manufacturing processes: selective laser melting, electron beam melting and binder jetting—selection guidelines. Materials 10(6):672. https://doi.org/10.3390/ma10060672
Worldwide most used 3D printing technologies, as of July 2018; Statista Research Department; March 2020. https://www.statista.com/statistics/756690/worldwide-most-used-3d-printing-technologies/. Accessed 26 Apr 2020
Gebhardt A, Hötter JS (2016) Additive manufacturing: 3D printing for prototyping and manufacturing. Hanser Publications, Cincinnati
Himmer T, Nakagawa T, Anzai M (1999) Lamination of metal sheets. Comput Ind 39(1):27–33. https://doi.org/10.1016/S0166-3615(98)00122-5
Deckers J, Vleugels J, Kruth JP (2014) Additive manufacturing of ceramics: a review. J Ceram Sci Technol 5(4):245–260. https://doi.org/10.4416/JCST2014-00032
Varotsis AB. Introduction to SLS 3D printing. 3D HUBS. https://www.3dhubs.com/knowledge-base/introduction-sls-3d-printing/#pros-cons. Accessed 28 APR 2020
Flynt J (2019) All about SLS printing: advantages, disadvantages, history, and more; 3D Insider. https://3dinsider.com/sls-printing/. Accessed 28 APR 2020
Bikas H, Stavropoulos P, Chryssolouris G (2016) Additive manufacturing methods and modelling approaches: a critical review. Int J Adv Manuf Technol 83(1–4):389–405. https://doi.org/10.1007/s00170-015-7576-2
Baumers M, Dickens P, Tuck C, Hague R (2016) The cost of additive manufacturing: machine productivity, economies of scale and technology-push. Technol Forecast Soc Chang 102:193–201. https://doi.org/10.1016/j.techfore.2015.02.015
Fera M, Macchiaroli R, Fruggiero F, Lambiase A (2018) A new perspective for production process analysis using additive manufacturing—complexity vs production volume. Int J Adv Manuf Technol 95(1–4):673–685. https://doi.org/10.1007/s00170-017-1221-1
Gusarov AV, Grigoriev SN, Volosova MA, Melnik YA, Laskin A, Kotoban DV, Okunkova AA (2018) On productivity of laser additive manufacturing. J Mater Process Technol 261:213–232. https://doi.org/10.1016/j.jmatprotec.2018.05.033
Pradel P, Bibb R, Zhu Z, Moultrie J (2018) Exploring the impact of shape complexity on build time for material extrusion and material jetting. In: Industrializing Additive Manufacturing-Proceedings of Additive Manufacturing in Products and Applications-AMPA 2017. Springer, Cham. https://doi.org/10.1007/978-3-319-66866-6_3
Rajaguru K, Karthikeyan T, Vijayan V (2020) Additive manufacturing–state of art. Mater Today Proc 21:628–633. https://doi.org/10.1016/j.matpr.2019.06.728
Mani M, Lyons KW, Gupta SK (2014) Sustainability characterization for additive manufacturing. J Res NIST 119:419. https://doi.org/10.6028/jres.119.016
Ford S, Despeisse M (2016) Additive manufacturing and sustainability: an exploratory study of the advantages and challenges. J Clean Prod 137:1573–1587. https://doi.org/10.1016/j.jclepro.2016.04.150
Leino M, Pekkarinen J, Soukka R (2016) The role of laser additive manufacturing methods of metals in repair, refurbishment and remanufacturing–enabling circular economy. Phys Procedia 83:752–760. https://doi.org/10.1016/j.phpro.2016.08.077
Chu C, Graf G, Rosen DW (2008) Design for additive manufacturing of cellular structures. Comput Aided Des Appl 5(5):686–696. https://doi.org/10.3722/cadaps.2008.686-696
Kellens K, Mertens R, Paraskevas D, Dewulf W, Duflou JR (2017) Environmental impact of additive manufacturing processes: does AM contribute to a more sustainable way of part manufacturing? Proc CIRP. 61:582–587. https://doi.org/10.1016/j.procir.2016.11.153
Anderson IE, White EM, Dehoff R (2018) Feedstock powder processing research needs for additive manufacturing development. Curr Opin Solid State Mater Sci 22(1):8–15. https://doi.org/10.1016/j.cossms.2018.01.002
Bogers M, Hadar R, Bilberg A (2016) Additive manufacturing for consumer-centric business models: implications for supply chains in consumer goods manufacturing. Technol Forecast Soc Chang 102:225–239. https://doi.org/10.1016/j.techfore.2015.07.024
Yao X, Lin Y (2016) Emerging manufacturing paradigm shifts for the incoming industrial revolution. Int J Adv Manuf Technol 85(5–8):1665–1676. https://doi.org/10.1007/s00170-015-8076-0
Rauch E, Unterhofer M, Dallasega P (2018) Industry sector analysis for the application of additive manufacturing in smart and distributed manufacturing systems. Manuf Lett 15:126–131. https://doi.org/10.1016/j.mfglet.2017.12.011
Bogers M, Hadar R, Bilberg A (2015) Business models for additive manufacturing: exploring digital technologies, consumer roles, and supply chains . Technological Forecasting & Social Change, 2015, Forthcoming. Available at SSRN: https://ssrn.com/abstract=2638054
Sealy MP, Madireddy G, Williams RE, Rao P, Toursangsaraki M (2018) Hybrid processes in additive manufacturing. J Manuf Sci Eng 140(6):060801. https://doi.org/10.1115/1.4038644
Perez KB, Williams CB (2014) Design considerations for hybridizing additive manufacturing and direct write technologies. In: ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASME Digital Collection. https://doi.org/10.1115/DETC2014-35408
Raynaud J, Pateloup V, Bernard M, Gourdonnaud D, Passerieux D, Cros D, Madrangeas V, Chartier T (2020) Hybridization of additive manufacturing processes to build ceramic/metal parts: example of LTCC. J Eur Ceram Soc 40(3):759–767. https://doi.org/10.1016/j.jeurceramsoc.2019.10.019
Driscoll D, Sofie S (2018) Hybridization of freeze casting with additive manufacturing for simplified production of high performance SOFCs. Glacigen Materials, Inc., Bozeman
Jones JB (2014) The synergies of hybridizing CNC and additive manufacturing. Hybrid Manufacturing Technologies Ltd. http://www.hybridmanutech.com/uploads/2/3/6/9/23690678/2014_jones_hybridizing_cnc___am__authors_version_of_sme_tp14pub77_.pdf. Accessed 23 MAY 2020
Müller M, Wings E (2016) An architecture for hybrid manufacturing combining 3D printing and CNC machining. Int J Manuf Eng 8609108:1–12. https://doi.org/10.1155/2016/8609108
Yamazaki T (2016) Development of a hybrid multi-tasking machine tool: integration of additive manufacturing technology with CNC machining. Proc CIRP 42:81–86. https://doi.org/10.1016/j.procir.2016.02.193
Yan L, Cui W, Newkirk JW, Liou F, Thomas EE, Baker AH, Castle JB (2018) Build strategy investigation of Ti-6Al-4V produced via a hybrid manufacturing process. JOM. 70(9):1706–1713. https://doi.org/10.1007/s11837-018-3009-7
Williams SW, Martina F, Addison AC, Ding J, Pardal G, Colegrove P (2016) Wire+ arc additive manufacturing. Mater Sci & Technol 32(7):641–647. https://doi.org/10.1179/1743284715Y.0000000073
Al-Tarifi MA, Filipovic DS (2017) On the design and fabrication of W-band stabilised-pattern dual-polarised horn antennas with DMLS and CNC. IET Microwaves Antennas Propag 11(14):1930–1935. https://doi.org/10.1049/iet-map.2017.0167
Nyamekye P, Leino M, Piili H, Salminen A (2015) Overview of sustainability studies of CNC machining and LAM of stainless steel. Phys Proc 78:367–376. https://doi.org/10.1016/j.phpro.2015.11.051
Karunakaran KP, Suryakumar S, Pushpa V, Akula S (2009) Retrofitment of a CNC machine for hybrid layered manufacturing. Int J Adv Manuf Technol 45(7–8):690–703. https://doi.org/10.1007/s00170-009-2002-2
Yang Y, Gong Y, Qu S, Xie H, Cai M, Xu Y (2020) Densification, mechanical behaviors, and machining characteristics of 316L stainless steel in hybrid additive/subtractive manufacturing. Int J Adv Manuf Technol 107(1):177–189. https://doi.org/10.1007/s00170-020-05033-2
Li S, Zhang B, Bai Q (2020) Effect of temperature buildup on milling forces in additive/subtractive hybrid manufacturing of Ti-6Al-4V. Int J Adv Manuf Technol 107(9–10):4191–4200. https://doi.org/10.1007/s00170-020-05309-7
Li P, Gong Y, Xu Y, Qi Y, Sun Y, Zhang H (2019) Inconel-steel functionally bimetal materials by hybrid directed energy deposition and thermal milling: microstructure and mechanical properties. Arch Civ Mech Eng 19(3):820–831. https://doi.org/10.1016/j.acme.2019.03.002
Nagamatsu H, Sasahara H, Mitsutake Y, Hamamoto T (2020) Development of a cooperative system for wire and arc additive manufacturing and machining. Addit Manuf 31:100896. https://doi.org/10.1016/j.addma.2019.100896
Zhang S, Zhang Y, Gao M, Wang F, Li Q, Zeng X (2019) Effects of milling thickness on wire deposition accuracy of hybrid additive/subtractive manufacturing. Sci Technol Weld Join 24(5):375–381. https://doi.org/10.1080/13621718.2019.1595925
Hong Y, Lei J, Heim M, Song Y, Yuan L, Mu S, Bordia RK, Xiao H, Tong J, Peng F (2019) Fabricating ceramics with embedded microchannels using an integrated additive manufacturing and laser machining method. J Am Ceram Soc 102(3):1071–1082. https://doi.org/10.1111/jace.15982
Boschetto A, Bottini L, Veniali F (2016) Finishing of fused deposition modeling parts by CNC machining. Robot Comput Integr Manuf 41:92–101. https://doi.org/10.1016/j.rcim.2016.03.004
Zhao Y, Sun J, Li J, Wang P, Zheng Z, Chen J, Yan Y (2018) The stress coupling mechanism of laser additive and milling subtractive for FeCr alloy made by additive–subtractive composite manufacturing. J Alloys Compd 769:898–905. https://doi.org/10.1016/j.jallcom.2018.08.079
Heigel JC, Phan TQ, Fox JC, Gnaupel-Herold TH (2018) Experimental investigation of residual stress and its impact on machining in hybrid additive/subtractive manufacturing. Procedia Manuf 26:929–940. https://doi.org/10.1016/j.promfg.2018.07.120
Alexander I, Vladimir G, Petr P, Mihail K, Yuriy I, Andrey V (2016) Machining of thin-walled parts produced by additive manufacturing technologies. Proc CIRP 41:1023–1026. https://doi.org/10.1016/j.procir.2015.08.088
Ye ZP, Zhang ZJ, Jin X, Xiao MZ, Su JZ (2017) Study of hybrid additive manufacturing based on pulse laser wire depositing and milling. Int J Adv Manuf Technol 88(5–8):2237–2248. https://doi.org/10.1007/s00170-016-8894-8
Zheng Y, Qureshi AJ, Ahmad R (2018) Algorithm for remanufacturing of damaged parts with hybrid 3D printing and machining process. Manuf Lett 15:38–41. https://doi.org/10.1016/j.mfglet.2018.02.010
Le VT, Mandil HPG (2017) Extraction of features for combined additive manufacturing and machining processes in a remanufacturing context. In: Eynard B, Nigrelli V, Oliveri S, Peris-Fajarnes G, Rizzuti S (eds) Advances on mechanics, design engineering and manufacturing. Lecture notes in mechanical engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-45781-9_19
Wippermann A, Gutowski TG, Denkena B, Dittrich MA, Wessarges Y (2020) Electrical energy and material efficiency analysis of machining, additive and hybrid manufacturing. J Clean Prod 251:119731. https://doi.org/10.1016/j.jclepro.2019.119731
Fullenwider B, Kiani P, Schoenung JM, Ma K (2019) from recycled machining waste to useful powders for metal additive manufacturing. In: Gaustad G, et al. (eds) REWAS. The minerals, metals & materials series. Springer, Cham. https://doi.org/10.1007/978-3-030-10386-6_1
Faludi J, Bayley C, Bhogal S, Iribarne M (2015) Comparing environmental impacts of additive manufacturing vs traditional machining via life-cycle assessment. Rapid Prototyp J 21(1):14–33. https://doi.org/10.1108/RPJ-07-2013-0067
Jiang Q, Liu Z, Li T, Cong W, Zhang HC (2019) Emergy-based life-cycle assessment (Em-LCA) for sustainability assessment: a case study of laser additive manufacturing versus CNC machining. Int J Adv Manuf Technol 102(9–12):4109–4120. https://doi.org/10.1007/s00170-019-03486-8
Ingarao G, Priarone PC, Deng Y, Paraskevas D (2018) Environmental modelling of aluminium based components manufacturing routes: additive manufacturing versus machining versus forming. J Clean Prod 176:261–275. https://doi.org/10.1016/j.jclepro.2017.12.115
Manogharan G, Wysk RA, Harrysson OL (2016) Additive manufacturing–integrated hybrid manufacturing and subtractive processes: economic model and analysis. Int J Comput Integr Manuf 29(5):473–488. https://doi.org/10.1080/0951192X.2015.1067920
Kerbrat O, Mognol P, Hascoët JY (2011) A new DFM approach to combine machining and additive manufacturing. Comput Ind 62(7):684–692. https://doi.org/10.1016/j.compind.2011.04.003
Chen N, Frank M (2019) Process planning for hybrid additive and subtractive manufacturing to integrate machining and directed energy deposition. Proc Manuf 34:205–213. https://doi.org/10.1016/j.promfg.2019.06.140
Chen N, Barnawal P, Frank MC (2018) Automated post machining process planning for a new hybrid manufacturing method of additive manufacturing and rapid machining. Rapid Prototyp J 24(7):1077–1090. https://doi.org/10.1108/RPJ-04-2017-0057
Li L, Haghighi A, Yang Y (2018) A novel 6-axis hybrid additive-subtractive manufacturing process: design and case studies. J Manuf Proc 33:150–160. https://doi.org/10.1016/j.jmapro.2018.05.008
Manogharan G, Wysk R, Harrysson O, Aman R (2015) AIMS–a metal additive-hybrid manufacturing system: system architecture and attributes. Process Manuf 1:273–286. https://doi.org/10.1016/j.promfg.2015.09.021
Du W, Bai Q, Wang Y, Zhang B (2018) Eddy current detection of subsurface defects for additive/subtractive hybrid manufacturing. Int J Adv Manuf Technol 95(9–12):3185–3195. https://doi.org/10.1007/s00170-017-1354-2
Wang Z, Liu R, Sparks T, Liu H, Liou F (2015) Stereo vision based hybrid manufacturing process for precision metal parts. Precis Eng 42:1–5. https://doi.org/10.1016/j.precisioneng.2014.11.012
Boccella AR, Piera C, Cerchione R, Murino T (2020) Evaluating centralized and heterarchical control of smart manufacturing systems in the era of Industry 4.0. Appl Sci 10(3):755. https://doi.org/10.3390/app10030755
Ye SX, Qiu RG (2003) An architecture of configurable equipment connectivity in a future manufacturing information system. In: Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No. 03EX694), vol 3, pp 1144-1149. IEEE. https://doi.org/10.1109/CIRA.2003.1222158
Rojas RA, Rauch E, Vidoni R, Matt DT (2017) Enabling connectivity of cyber-physical production systems: a conceptual framework. Proc Manuf 11:822–829. https://doi.org/10.1016/j.promfg.2017.07.184
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The work presented in the article is financially supported by Universiti Brunei Darussalam, Brunei through its University Research Grant scheme (Grant number: UBD/RSCH/URC/RG(b)/2018/003) and the 111 Project on Key Technology in Sustainable Manufacturing (Grant number: B16024).
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Iqbal, A., Zhao, G., Suhaimi, H. et al. Readiness of subtractive and additive manufacturing and their sustainable amalgamation from the perspective of Industry 4.0: a comprehensive review. Int J Adv Manuf Technol 111, 2475–2498 (2020). https://doi.org/10.1007/s00170-020-06287-6
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DOI: https://doi.org/10.1007/s00170-020-06287-6