Abstract
The potential of the Internet of Things (IoT) and other technologies in the realm of Industry 4.0 to generate valuable data for monitoring the performance of the production processes and the whole supply chain is well established. However, these large volumes of data can be used within planning and control systems (PCSs) to enhance real-time planning and decision-making. This paper conducts a literature review to envisage an overall system architecture that combines IoT and PCS for planning, monitoring and control of operations at the level of an industrial production process or at the level of its supply chain. Despite the extensive literature on IoT implementations, few studies explain the interactions between IoT and the components of PCS. It is expected that, with the increasing digitization of business processes, approaches with PCS and IoT become ubiquitous in the near future.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rubaiee, S., Yildirim, M.B.: An energy-aware multiobjective ant colony algorithm to minimize total completion time and energy cost on a single-machine preemptive scheduling. Comput. Ind. Eng. 127, 240–252 (2019)
Saif, U., Guan, Z., Wang, C., He, C., Yue, L., Mirza, J.: Drum buffer rope-based heuristic for multi-level rolling horizon planning in mixed model production. Int. J. Prod. Res. 57, 1–28 (2019). https://doi.org/10.1080/00207543.2019.1569272
Kang, M., Fan, X.-R., Hua, J., Wang, H., Wang, X., Wang, F.-Y.: Managing traditional solar greenhouse with CPSS: a just-for-fit philosophy. IEEE Trans. Cybern. 48(12), 3371–3380 (2018)
Chandra, S., Naik, R.T., Galbeno, L.: Impact assessment of the Internet of Things on feeder transit performance. Transp. Plan. Technol. 41(8), 830–844 (2018)
Kang, H.S., Noh, S.D., Son, J.Y., Kim, H., Park, J.H., Lee, J.Y.: The FaaS system using additive manufacturing for personalized production. Rapid Prototyp. J. 24(9), 1486–1499 (2018)
Zhang, Y., Ma, S., Yang, H., Lv, J., Liu, Y.: A big data driven analytical framework for energy-intensive manufacturing industries. J. Clean. Prod. 197, 57–72 (2018)
Tsai, W.-H., Lu, Y.-H.: A framework of production planning and control with carbon tax under industry 4.0. Sustainability 10(9), 3221 (2018)
Tsang, Y.P., Choy, K.L., Wu, C.H., Ho, G.T.S., Lam, H.Y., Tang, V.: An intelligent model for assuring food quality in managing a multi-temperature food distribution centre. Food Control 90, 81–97 (2018)
Lin, P., Li, M., Kong, X., Chen, J., Huang, G.Q., Wang, M.: Synchronisation for smart factory - towards IoT-enabled mechanisms. Int. J. Comput. Integr. Manuf. 31(7), 624–635 (2017)
Lee, J., Noh, S., Kim, H.-J., Kang, Y.-S.: Implementation of cyber-physical production systems for quality prediction and operation control in metal casting. Sensors 18(5), 1428 (2018)
Mourtzis, D., Vlachou, E.: A cloud-based cyber-physical system for adaptive shop-floor scheduling and condition-based maintenance. J. Manuf. Syst. 47, 179–198 (2018)
Guo, J.-H.: Applications of the Internet of Things technology in advanced planning systems. Sens. Mater. 30(8), 1723 (2018)
Masek, P., et al.: A harmonized perspective on transportation management in smart cities: the novel IoT-driven environment for road traffic modeling. Sensors 16(11), 1872 (2016)
Zhang, Y., Wang, W., Wu, N., Qian, C.: IoT-enabled real-time production performance analysis and exception diagnosis model. IEEE Trans. Autom. Sci. Eng. 13(3), 1318–1332 (2016)
Shamsuzzoha, A., Toscano, C., Carneiro, L.M., Kumar, V., Helo, P.: ICT-based solution approach for collaborative delivery of customised products. Prod. Plan. Control. 27(4), 280–298 (2016)
Kong, X.T.R., Fang, J., Luo, H., Huang, G.Q.: Cloud-enabled real-time platform for adaptive planning and control in auction logistics center. Comput. Ind. Eng. 84, 79–90 (2015)
Meyer, G.G., Wortmann, J.C., Szirbik, N.B.: Production monitoring and control with intelligent products. Int. J. Prod. Res. 49(5), 1303–1317 (2011)
Ray, P.P.: A survey on Internet of Things architectures. J. King Saud Univ. Comput. Inf. Sci. 8(3), 291–319 (2018)
Ellwein, C., et al.: Production planning and control systems – a new software architecture connectivity in target. Procedia CIRP 79(2019), 362–366 (2019)
Scholz, J., et al.: Digital technologies for forest supply chain optimization: existing solutions and future trends. Environ. Manag. 62, 1108–1133 (2018)
Seuring and Muller: From a literature review to a conceptual framework for sustainable supply chain management. J. Clean. Prod. 16(15), 1699–1710 (2008)
Acknowledgements
The first author acknowledges the support of the Ph.D. Grant SFRH/BD/136314/2018, awarded by the Portuguese Science and Technology Foundation (FCT) and financed by the European Social Fund (ESF) and by National Funds of the Ministry of Science, Technology and Higher Education (MCTES) through the Human Capital Operational Programme (POCH).
This work was also supported by Portugal 2020 project “DM4Manufacturing - Aligning manufacturing decision making with advanced manufacturing technologies”, POCI-01-0145-FEDER-016418, financed by UE/FEDER through the program COMPETE2020.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Soares, R., Marques, A., Gomes, R., Guardão, L., Hernández, E., Rebelo, R. (2020). Exploring the Linkages Between the Internet of Things and Planning and Control Systems in Industrial Applications. In: Almeida, H., Vasco, J. (eds) Progress in Digital and Physical Manufacturing. ProDPM 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-29041-2_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-29041-2_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-29040-5
Online ISBN: 978-3-030-29041-2
eBook Packages: EngineeringEngineering (R0)