Abstract
Mechatronics is an interdisciplinary field of engineering sciences characterized by the integration and interconnection between mechanical engineering, electrical engineering, and computer science. Mechatronic products are mostly structurally complex, but they are an optimal solution for many fields of industry such as medicine, agriculture, agribusiness, among others. The main objective of this article is to identify research trends on NPD (New Product Development) mechatronics projects today. For this, a bibliographic review is made, citing important works in the area since 2001, addressing the main objective of each research, in order to group them into approaches and identify current research trends. In the end, it is concluded that the trend is to reduce the total cost of a mechatronic product, as well as to begin to adapt concepts of the new technologies of Industry 4.0 (I4.0) to the NPD mechatronic projects. The goal is to facilitate the collaboration, in a more formal way than social communication and, consequently, simplifies knowledge reuse.
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Hehenberger, P., Poltschak, F., Zeman, K., Amrhein, W.: Hierarchical design models in the mechatronic product development process of synchronous machines. Mechatronics 20(8), 864–875 (2010)
Hehenberger, P.: Perspectives on hierarchical modeling in mechatronic design. Adv. Eng. Inf. 28(3), 188–197 (2014)
Hofmann, D., Kopp, M., Bertsche, B.: Development in Mechatronics - enhancing reliability by means of a sustainable use of information. In: 2010 IEEE/ASME International Conference on Advance Intelligent Mechatronics, pp. 1263–1268 (2010)
Zheng, C., Duigou, J.L., Bricogne, M., Eynard, B.: Multidisciplinary interface model for design of mechatronic systems. Comput. Ind. 76(6), 24–37 (2015)
Moulianitis, V.C., Aspragathos, N.A., Dentsoras, A.J.: A model for concept evaluation in design - an application to mechatronics design of robot grippers. Mechatronics 14(6), 599–622 (2004)
Park, K., Kremer, G.E.O.: Assessment of static complexity in design and manufacturing of a product family and its impact on manufacturing performance. Int. J. Prod. Econ. 169, 215–232 (2015)
Bolaños, R.D.S., Barbalho, S.C.M.: Exploring product complexity and prototype lead-times to predict new product development cycle-times. Int. J. Prod. Econ. 235, 108077 (2021)
Tamm, C., Perfetto, S., Tamm, C., Perfetto, S., Tamm, C., Perfetto, S.: Design and optimization of mechatronic systems using a holistic and parametric simulation approach. IFAC-PapersOnLine 52(15), 271–276 (2019)
Lenz, J., Wuest, T., Westkämper, E.: Holistic approach to machine tool data analytics. J. Manuf. Syst. 48, 180–191 (2018)
Gogineni, S.K., Riedelsheimer, T., Stark, R.: Systematic development methodology for customizable IoT devices. Procedia CIRP 84, 393–399 (2019)
Stankovski, S., Ostoji, G., Zhang, X., Baranovski, X., Horvat, S.: Mechatronics, identification technology, industry 4.0 and education, pp. 20–22 (2019)
Matt, D.T., Rauch, E.: SME 4.0: the role of small- and medium-sized enterprises in the digital transformation. In: Matt, D.T., Modrák, V., Zsifkovits, H. (eds.) Industry 4.0 for SMEs, pp. 3–36. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-25425-4_1
Hilgert, J., Bertram, T., Hiller, M.: Development of smart vehicles using a scaled mechatronic environment. IFAC-PapersOnLine 37(14), 85–90 (2004)
da Costa, D.D., Pereira, A.G.: Desenvolvimento e avaliação de uma tecnologia de baixo custo para programação CNC em pequenas empresas. Production 16(1), 48–63 (2006)
Precup, R.E., Preitl, S.: Low cost fuzzy controlled servo systems in mechatronic systems. IFAC-PapersOnLine 39(16), 247–252 (2006)
Danilovic, M., Browning, T.R.: Managing complex product development projects with design structure matrices and domain mapping matrices. Int. J. Proj. Manag. 25(3), 300–314 (2007)
Braun, S.C., Lindemann, U.: The influence of structural complexity on product costs. In: 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008, pp. 273–277 (2008)
Rodriguez, N.E.N., Carbone, G., Ceccarelli, M.: Simulation results for design and operation of CALUMA, a new low-cost humanoid robot. Robotica 26(5), 601–618 (2008)
Botto, G., Carabelli, S., Suarez, L., Visconti, L., Truccone, P.: Open motion control: a model based development platform for rapid prototyping, pp. 1445–1450 (2009)
Nishioka, Y., Suzumori, K., Kanda, T., Wakimoto, S.: A new control method utilizing multiplex air vibration for multi-DOF pneumatic mechatronics systems. In: IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings, pp. 3037–3042 (2010)
Vasić, V.S., Lazarević, M.P.: Standard industrial guideline for mechatronic product design. FME Trans. 36, 103–108 (2008)
Ahmadinejad, A., Afshar, A.: Complexity management in mechatronic product development based on structural criteria. In: 2011 IEEE International Conference on Mechatronics, pp. 7–12 (2011). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5971266
Gausemeier, J., Dumitrescu, R., Kahl, S., Nordsiek, D.: Integrative development of product and production system for mechatronic products. Robot. Comput. Integr. Manuf. 27(4), 772–778 (2011)
Fasanghari, M., Iranmanesh, S.H., Karam, M.A.: Proposing an advanced computational method for completion time estimation of the New Product Development (NPD) projects. In: 2012 11th International Conference on Information Science, Signal Processing and their Applications, vol. 782, pp. 961–967 (2012)
Barbalho, S.C.M., Rozenfeld, H.: Mechatronic reference model (MRM) for new product development: validation and results [Modelo de referência para o processo de desenvolvimento de produtos mecatrônicos (MRM): validação e resultados de uso]. Gest. e Prod. 20(1), 162–179 (2013)
Couturier, P., Lô, M., Imoussaten, A., Chapurlat, V., Montmain, J.: Tracking the consequences of design decisions in mechatronic Systems Engineering. Mechatronics 24(7), 763–774 (2014)
Ahmadinejad, S.A., Afshar, A.: Management of change propagation in mechatronic product design based on minimum cost of changes, pp. 666–671 (2014)
Erik Heller, J., Löwer, M., Feldhusen, J.: Future product development cost prediction model for integrated lifecycle assessment. In: Fukuda, S., Bernard, A., Gurumoorthy, B., Bouras, A. (eds.) PLM 2014. IAICT, vol. 442, pp. 377–386. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-45937-9_37
Adoko, M.T., Mazzuchi, T.A., Sarkani, S.: Developing a cost overrun predictive model for complex systems development projects. Project Manage. J. 46(6), 111–125 (2015)
Yusof, Y., Latif, K.: New interpretation module for open architecture control based CNC systems. Procedia CIRP 26, 729–734 (2015)
Rad, C.R., Hancu, O.: An improved nonlinear modelling and identification methodology of a servo-pneumatic actuating system with complex internal design for high-accuracy motion control applications. Simul. Model. Pract. Theor. 75, 29–47 (2017)
Saravanakumar, D., Mohan, B., Muthuramalingam, T.: A review on recent research trends in servo pneumatic positioning systems. Precis. Eng. 49, 481–492 (2017)
Deng, C., Guo, R.-F., Xun, X., Zhong, R.Y., Yin, Z.: A new high performance open CNC system and its energy-aware scheduling algorithm. Int. J. Adv. Manuf. Technol. 93(5–8), 1513–1525 (2017)
Wu, J., Li, D., Wang, S.: The design and experimental research of an open architecture soft-CNC system based on RTX and an IPC. Int. J. Adv. Manuf. Technol. 89(5–8), 1387–1399 (2016)
Lara-Padilla, H., Sánchez, X.S., Paucar, T.A.: Design and evaluation of a low-cost mechatronic system to study upper and lower limbs biomechanics. In: IEEE Global Humanitarian Technology Conference, GHTC 2017, vol. 2017, pp. 1–5 (2017)
Anuar, A., Sahari, K.S.M., Yue, E.C.: Development of a low cost upper limb motion tracking system with real-time visual output. In: 2016 IEEE 4th International Symposium on Robotics and Intelligent Sensors: Empowering Robots with Smart Sensors, IRIS 2016, pp. 146–150 (2017)
Penas, O., Plateaux, R., Patalano, S., Hammadi, M.: Multi-scale approach from mechatronic to Cyber-Physical Systems for the design of manufacturing systems. Comput. Ind. 86, 52–69 (2017)
Liu, X.F., Shahriar, M.R., Al Sunny, S.M.N., Leu, M.C., Hu, L.: Cyber-physical manufacturing cloud: architecture, virtualization, communication, and testbed. J. Manuf. Syst. 43, 352–364 (2017)
Quatrano, A., De Simone, M.C., Rivera, Z.B., Guida, D.: Development and implementation of a control system for a retrofitted CNC machine by using Arduino. FME Trans. 45(4), 565–571 (2017)
Ruzanov, N.V., Bolotov, M.A., Pechenin, V.A., Pronichev, N.D., Stepanova, E.R.: The method of improving the accuracy of mechatronic systems for complex geometry measurements. Procedia Eng. 176, 529–539 (2017)
Grigoriev, S.N., Martinov, G.M.: An approach to creation of terminal clients in CNC system. In: Proceedings of the 3rd Russian-Pacific Conference on Computer Technology and Applications, RPC 2018, pp. 1–4 (2018)
Moulianitis, V.C., Zachiotis, G.-A.D., Aspragathos, N.A.: A new index based on mechatronics abilities for the conceptual design evaluation. Mechatronics 49, 67–76 (2018)
Ye, Y., Hu, T., Zhang, C., Luo, W.: Design and development of a CNC machining process knowledge base using cloud technology. Int. J. Adv. Manuf. Technol. 94(9–12), 3413–3425 (2016)
Saravanakumar, D., Mohan, B., Muthuramalingam, T., Sakthivel, G.: Performance evaluation of interconnected pneumatic cylinders positioning system. Sens. Actuators A Phys. 274, 155–164 (2018)
Mcharek, M., Azib, T., Hammadi, M., Choley, J.Y., Larouci, C.: Knowledge sharing for mechatronic systems design and optimization. IFAC-PapersOnLine 51(11), 1365–1370 (2018)
Valencia, F., Ortiz, D., Ojeda, D.: Design and testing of low-cost knee prosthesis. In: 2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017, vol. 2017, pp. 1–6 (2018)
Bula, I., Hoxha, V., Hajrizi, E.: Robot from mechatronics scrap-beggar robot. IFAC-PapersOnLine 51(30), 216–219 (2018)
Martinov, G.M., Khoury, A.A., Issa, A.: An approach of developing low cost ARM based CNC systems by controlling CAN drives. MATEC Web Conf. 224, 01020 (2018)
Martinova, L.I., Fokin, N.N.: An approach to creation of a unified system of programming CNC machines in the dialog mode. MATEC Web Conf. 224, 01101 (2018)
Mhenni, F., Hehenberger, P., Penas, O., Hammadi, M., Choley, J.-Y.: Systems engineering approach for the conjoint design of mechatronic products and their manufacturing systems. In: 2018 Annual IEEE International Systems Conference (SysCon). IEEE (2018). ISBN 978-1-5386-3664-0
Bobka, P., et al.: Development of an automated assembly process supported with an artificial neural network. J. Mach. Eng. 18(3), 28–41 (2018)
Gheorghe, G.: Original concepts and achievements for designing of smart mechatronics and cyber-mixmechatronics systems used in laboratories and in the industry. IFAC-PapersOnLine 51(30), 598–603 (2018)
Zheng, C., et al.: Interface model-based configuration design of mechatronic systems for industrial manufacturing applications. Robot. Comput. Integr. Manuf. 59, 373–384 (2019)
Menezes, B.C., Kelly, J.D., Leal, A.G.: Identification and design of Industry 4.0 opportunities in manufacturing: examples from mature industries to laboratory level systems. IFAC-PapersOnLine 52(13), 2494–2500 (2019)
Emilia, G.D., Gaspari, A., Natale, E.: Mechatronics applications of measurements for smart manufacturing in an Industry. IEEE Instrum. Meas. Mag. 22, 35–43 (2019)
Vij, A., Vijendra, S., Jain, A., Bajaj, S., Bassi, A., Sharma, A.: IoT and machine learning approaches for automation of farm irrigation system. Procedia Comput. Sci. 167, 1250–1257 (2020)
Barbalho, S.C.M., Monteiro de Carvalho, M., Tavares, P.M., Llanos, C.H., Leite, G.A.: Exploring the relation among product complexity, team seniority, and project performance as a path for planning new product development projects: a predictive model applying the system dynamics theory. IEEE Trans. Eng. Manag., 1–14 (2019)
Fati, S.M., Al-Nabhani, S., Muneer, A.: Automated library system using SMS based pick and place robot. Int. J. Comput. Digit. Syst. 8(6), 535–544 (2019)
Chouinard, U., Achiche, S., Baron, L.: Integrating negative dependencies assessment during mechatronics conceptual design using fuzzy logic and quantitative graph theory. Mechatronics 59, 140–153 (2019)
Qiu, L., Lin, X., Wang, Y., Yuan, S., Shi, W.: A mechatronic smart skin of flight vehicle structures for impact monitoring of light weight and low-power consumption. Mech. Syst. Sig. Process. 144, 106829 (2020)
Chan, R.W.K., Lin, Y.-S., Tagawa, H.: A smart mechatronic base isolation system using earthquake early warning. Soil Dyn. Earthq. Eng. 119, 299–307 (2019)
Mohebbi, A., Achiche, S., Baron, L.: Integrated and concurrent detailed design of a mechatronic quadrotor system using a fuzzy-based particle swarm optimization. Eng. Appl. Artif. Intell. 82, 192–206 (2019)
Mcharek, M., Hammadi, M., Azib, T., Larouci, C., Choley, J.Y.: Collaborative design process and product knowledge methodology for mechatronic systems. Comput. Ind. 105, 213–228 (2019)
Yao, Y., Liu, M., Jianjun, D., Zhou, L.: Design of a machine tool control system for function reconfiguration and reuse in network environment. Robot. Comput. Integr. Manuf. 56, 117–126 (2019)
Wasif, M., Siddique, Q.M., Sakib, S., Rameez, T.M.: Design of Mini CNC using Arduino uno, pp. 3882–3884 (2019)
Gravalos, I., Ziakas, N., Loutridis, S., Gialamas, T.: A mechatronic system for automated topping and suckering of tobacco plants. Comput. Electron. Agric. 166, 104986 (2019)
Li, Q., Zhang, H.H.: Model reduction of a real time multidisciplinary mechatronic system. In: Proceedings of the 2019 20th International Conference on Research and Education in Mechatronic, REM 2019, vol. 5, pp. 1–5 (2019)
Gao, W., Zhang, C., Tianliang, H., Ye, Y.: An intelligent CNC controller using cloud knowledge base. Int. J. Adv. Manuf. Technol. 102(1–4), 213–223 (2019)
Martinov, G.M., Nikishechkin, P.A., Grigoriev, A.S., Chervonnova, N.Y.: Organizing interaction of basic components in the CNC system AxiOMA control for integrating new technologies and solutions. Autom. Remote. Control 80(3), 584–591 (2019). https://doi.org/10.1134/S0005117919030159
Martinov, G.M., Ljubimov, A.B., Martinova, L.I.: From classic CNC systems to cloud-based technology and back. Robot. Comput. Integr. Manuf. 63, 101927 (2020)
Hernández-Melgarejo, G., Flores-Hernández, D.A., Luviano-Juárez, A., Castañeda, L.A., Chairez, I., Di Gennaro, S.: Mechatronic design and implementation of a bicycle virtual reality system. ISA Trans. 97, 336–351 (2020)
Rojas, R.A., Ruiz Garcia, M.A.: Implementation of industrial Internet of Things and cyber-physical systems in SMEs for distributed and service-oriented control. In: Matt, D.T., Modrák, V., Zsifkovits, H. (eds.) Industry 4.0 for SMEs, pp. 73–103. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-25425-4_3
Gualtieri, L., Palomba, I., Wehrle, E.J., Vidoni, R.: The Opportunities and challenges of sme manufacturing automation: safety and ergonomics in human–robot collaboration. In: Matt, D.T., Modrák, V., Zsifkovits, H. (eds.) Industry 4.0 for SMEs, pp. 105–144. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-25425-4_4
Gualtieri, L., Rojas, R.A., Ruiz Garcia, M.A., Rauch, E., Vidoni, R.: Implementation of a laboratory case study for intuitive collaboration between man and machine in SME assembly. In: Matt, D.T., Modrák, V., Zsifkovits, H. (eds.) Industry 4.0 for SMEs, pp. 335–382. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-25425-4_12
Dallasega, P., Woschank, M., Zsifkovits, H., Tippayawong, K., Brown, C.A.: Requirement analysis for the design of smart logistics in SMEs. In: Matt, D.T., Modrák, V., Zsifkovits, H. (eds.) Industry 4.0 for SMEs, pp. 147–162. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-25425-4_5
Zsifkovits, H., Kapeller, J., Reiter, H., Weichbold, C., Woschank, M.: Consistent identification and traceability of objects as an enabler for automation in the steel processing industry. In: Matt, D.T., Modrák, V., Zsifkovits, H. (eds.) Industry 4.0 for SMEs, pp. 163–192. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-25425-4_6
Zsifkovits, H., Woschank, M., Ramingwong, S., Wisittipanich, W.: State-of-the-art analysis of the usage and potential of automation in logistics. In: Matt, D.T., Modrák, V., Zsifkovits, H. (eds.) Industry 4.0 for SMEs, pp. 193–212. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-25425-4_7
Modrák, V., Šoltysová, Z.: Development of an organizational maturity model in terms of mass customization. In: Matt, D.T., Modrák, V., Zsifkovits, H. (eds.) Industry 4.0 for SMEs, pp. 215–250. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-25425-4_8
Orzes, G., Poklemba, R., Towner, W.T.: Implementing Industry 4.0 in SMEs: a focus group study on organizational requirements. In: Matt, D.T., Modrák, V., Zsifkovits, H. (eds.) Industry 4.0 for SMEs, pp. 251–277. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-25425-4_9
Ramesh, K., Prajwal, K.T., Roopini, C., Gowda, M.H.M., Gupta, V.V.S.N.S.: Design and development of an agri-bot for automatic seeding and watering applications. In: 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), ICIMIA 2020 - Conference Proceeding, pp. 686–691 (2020)
Sharman, D.M., Yassine, A.A.: Characterizing complex product architectures. Syst. Eng. 7(1), 35–60 (2004)
Diagne, S., Coulibaly, A., De Beuvron, F.D.B.: Complex product modeling based on a Multi-solution eXtended Conceptual Design Semantic Matrix for behavioral performance assessment. Comput. Ind. 75, 101–115 (2016)
Chen, C.-H., Ling, S.F., Chen, W.: Project scheduling for collaborative product development using DSM. Int. J. Proj. Manag. 21, 291–299 (2003)
Tai, Y.Y., Lin, J.Y., Chen, M.S., Lin, M.C.: A grey decision and prediction model for investment in the core competitiveness of product development. Technol. Forecast. Soc. Change 78(7), 1254–1267 (2011)
Židek, K., Modrák, V., Pitel, J., Šoltysová, Z.: The digitization of quality control operations with cloud platform computing technologies. In: Matt, D.T., Modrák, V., Zsifkovits, H. (eds.) Industry 4.0 for SMEs, pp. 305–334. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-25425-4_11
Sopadang, A., Chonsawat, N., Ramingwong, S.: Smart SME 4.0 implementation toolkit. In: Matt, D.T., Modrák, V., Zsifkovits, H. (eds.) Industry 4.0 for SMEs, pp. 279–302. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-25425-4_10
Rauch, E., Vickery, A.R., Brown, C.A., Matt, D.T.: SME requirements and guidelines for the design of smart and highly adaptable manufacturing systems. In: Matt, D.T., Modrák, V., Zsifkovits, H. (eds.) Industry 4.0 for SMEs, pp. 39–72. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-25425-4_2
Brown, C.A.: Axiomatic design for products, processes, and systems. In: Matt, D.T., Modrák, V., Zsifkovits, H. (eds.) Industry 4.0 for SMEs, pp. 383–401. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-25425-4_13
Acknowledgments
The authors would like to express their gratitude to SENA Colombia and UFSC (Federal University of Santa Catarina) for the support to this project (SIGPEX Numbers: 202002173 and 202002437) with scientific initiation, master and doctoral research. This research was partially supported by the CAPES (Coordination for the Improvement of Higher Education Personnel) and FAPESC (Research Foundation of the State of Santa Catarina).
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Bolaños, R.D.S., Valdiero, A.C., Rasia, L.A., Ferreira, J.C.E. (2022). Identifying the Trend of Research on Mechatronic Projects. In: Canciglieri Junior, O., Noël, F., Rivest, L., Bouras, A. (eds) Product Lifecycle Management. Green and Blue Technologies to Support Smart and Sustainable Organizations. PLM 2021. IFIP Advances in Information and Communication Technology, vol 640. Springer, Cham. https://doi.org/10.1007/978-3-030-94399-8_3
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