Abstract
Industry 4.0 can promote connectivity across the entire shop floor. In this process, information systems will be the lever, since they are able to bring together the data collection function and its treatment, giving it value. In the current digital transformation of the way of working, it is essential to design systems that consistently cover organizational processes, with a view to facilitate the decision making of production managers. The entire system should be based on the reality of the shop floor and its entire productive environment. In this way, this chapter intends to propose an information system framework in line with the manufacturing floor 4.0, focusing on the Manufacturing Execution System (MES). This system comprises four subsystems that place human resources at the core of the production management, supporting better decisions, and establishing a way to create, share and store knowledge, increasing the organizational knowledge. A specification of a MES software for a SME, considering the developed framework, is also presented allowing to obtain a consistent first base of software and procedures for the Smart Monitoring phase in the company.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
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(3):899–919. https://doi.org/10.1016/j.jestch.2019.01.006
Arica E, Powell DJ (2018) Status and future of manufacturing execution systems. In: IEEE international conference on industrial engineering and engineering management, 2017-Decem, 2000–2004. https://doi.org/10.1109/IEEM.2017.8290242
Arromba AR, Teixeira L, Xambre AR (2019) Information flows improvement in production planning using lean concepts and BPMN an exploratory study in industrial context. In: 14th Iberian conference on information systems and technologies (CISTI), pp 206–211. https://doi.org/10.23919/cisti.2019.8760699
Begnum MEN (2020) Universal design of ICT: a historical journey from specialized adaptations towards designing for diversity. In: Antona M, Stephanidis C (eds) Universal access in human-computer interaction. Design approaches and supporting technologies. Springer, Cham. https://doi.org/10.1007/978-3-030-49282-3_1
Bortolotti T, Boscari S, Danese P (2015) Successful lean implementation: organizational culture and soft lean practices. Int J Prod Econ 160:182–201. https://doi.org/10.1016/j.ijpe.2014.10.013
Cimini C, Pirola F, Pinto R, Cavalieri S (2020) A human-in-the-loop manufacturing control architecture for the next generation of production systems. J Manuf Sys 54(July 2019):258–271. https://doi.org/10.1016/j.jmsy.2020.01.002
Cimino C, Negri E, Fumagalli L (2019) Review of digital twin applications in manufacturing. Comput Ind 113:103130. https://doi.org/10.1016/j.compind.2019.103130
Coito T, Viegas JL, Martins MSE, Cunha MM, Figueiredo J, Vieira SM, Sousa JMC (2019) A novel framework for intelligent automation. IFAC-PapersOnLine 52(13):1825–1830. https://doi.org/10.1016/j.ifacol.2019.11.501
Ebrahimi S, Ibrahim O, Razak A, Hussin C, Sedera D (2013) Efficiency of knowledge integration in enterprise systems implementation. PACIS 2013 proceedings, pp 6–18. https://aisel.aisnet.org/pacis2013%5Cnhttp://aisel.aisnet.org/pacis2013/254
Elnagar S, Weistroffer H, Thomas M (2019) Agile requirement engineering maturity framework for Industry 4.0. In: Themistocleous M, Rupino Da Cunha P (eds) Information systems. EMCIS 2018. Lecture notes in business information processing, vol 341. Springer International Publishing, pp 405–418. https://doi.org/10.1007/978-3-030-11395-7
Enke J, Glass R, Kreß A, Hambach J, Tisch M, Metternich J (2018) Industrie 4.0—competencies for a modern production system: a curriculum for learning factories. Proced Manuf 23:267–272. https://doi.org/10.1016/j.promfg.2018.04.028
Ghobakhloo M, Fathi M (2020) Corporate survival in industry 4.0 era: the enabling role of lean-digitized manufacturing. J Manuf Technol Manage 31(1):1–30. https://doi.org/10.1108/JMTM-11-2018-0417
Hildebrandt J, Kluge J, Ziefle M (2020) A successful transformation of work? An exploratory analysis on requirements and evaluation criteria. In: Kurosu M (ed) Human-computer interaction. Design and user experience (HCII 2020). Springer, Cham. https://doi.org/10.1007/978-3-030-49059-1_19
Hoellthaler G, Braunreuther S, Reinhart G (2018) Digital lean production-an approach to identify potentials for the migration to a digitalized production system in SMEs from a lean perspective. Procedia CIRP 67:522–527. https://doi.org/10.1016/j.procir.2017.12.255
Hoffmann M, Büscher C, Meisen T, Jeschke S (2016) Continuous integration of field level production data into top-level information systems using the OPC interface standard. Procedia CIRP 41:496–501. https://doi.org/10.1016/j.procir.2015.12.059
Huang C (2002) Distributed manufacturing execution systems: a workflow perspective. J Intell Manuf 13(6):485–497. https://doi.org/10.1023/A:1021097912698
Huang Z, Kim J, Sadri A, Dowey S, Dargusch MS (2019) Industry 4.0: development of a multi-agent system for dynamic value stream mapping in SMEs. J Manuf Syst 52:1–12. https://doi.org/10.1016/j.jmsy.2019.05.001
Jaskó S, Skrop A, Holczinger T, Chován T, Abonyi J (2020) Development of manufacturing execution systems in accordance with Industry 4.0 requirements: a review of standard- and ontology-based methodologies and tools. Comput Ind 123. https://doi.org/10.1016/j.compind.2020.103300
Javidroozi V, Shah H, Feldman G (2020) A framework for addressing the challenges of business process change during enterprise systems integration. Bus Process Manag J 26(2):463–488. https://doi.org/10.1108/BPMJ-03-2019-0128
Kosieradzka A, Kol U, Krupa A (2011) The development of production management concepts. Found Manage 3(2):55–74. https://doi.org/10.2478/v10238-012-0042-7
Lazarevna PA, Nikolaevna KS, Alekseevna VV, Konstantinovich YE (2020) Digitalization tools in ensuring the efficiency of the enterprise activity. ACM Int Conf Proc Ser https://doi.org/10.1145/3388984.3390641
Lezoche M, Yahia E, Aubry A, Panetto H, Zdravković M (2012) Conceptualising and structuring semantics in cooperative enterprise information systems models. Comput Ind 63(8):775–787. https://doi.org/10.1016/j.compind.2012.08.006
Liao Y, Deschamps F, Loures E de FR, Ramos LFP (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
Lopes RB, Teixeira L, Ferreira C (2019) Lean thinking across the company: successful cases in the manufacturing industry. In: Lean manufacturing: implementations, opportunities and challenges, pp 1–30.
Makarov VV, Frolov YB, Parshina IS, Ushakova MV (2019) The design concept of digital twin. Proceedings of 2019 12th international conference management of large-scale system development MLSD 2019, pp 1–4. https://doi.org/10.1109/MLSD.2019.8911091
Mantravadi S, Møller C (2019) An overview of next-generation manufacturing execution systems: how important is MES for industry 4.0? Procedia Manuf 30:588–595. https://doi.org/10.1016/j.promfg.2019.02.083
Mantravadi S, Moller C, Christensen FMM (2018) Perspectives on real-time information sharing through smart factories: visibility via enterprise integration. In: Proceedings of international conference on smart systems and technologies 2018, SST 2018, pp 133–137. https://doi.org/10.1109/SST.2018.8564617
Martinez F (2019) Process excellence the key for digitalisation. Bus Process Manag J 25(7):1716–1733. https://doi.org/10.1108/BPMJ-08-2018-0237
Mayr A, Weigelt M, Kühl A, Grimm S, Erll A, Potzel M, Franke J (2018) Lean 4.0-A conceptual conjunction of lean management and Industry 4.0. Procedia CIRP 72:622–628. https://doi.org/10.1016/j.procir.2018.03.292
Menezes S, Creado S, Zhong RY (2018) Smart manufacturing execution systems for small and medium-sized enterprises. Procedia CIRP 72:1009–1014. https://doi.org/10.1016/j.procir.2018.03.272
Moeuf A, Pellerin R, Lamouri S, Tamayo-Giraldo S, Barbaray R (2018) The industrial management of SMEs in the era of industry 4.0. Int J Prod Res 56(3):1118–1136. https://doi.org/10.1080/00207543.2017.1372647
Monostori L, Kádár B, Bauernhansl T, Kondoh S, Kumara S, Reinhart G, Sauer O, Schuh G, Sihn W, Ueda K (2016) Cyber-physical systems in manufacturing. CIRP Ann 65(2):621–641. https://doi.org/10.1016/j.cirp.2016.06.005
Naedele M, Chen H, Kazman R, Cai Y, Xiao L, Silva CVA (2015) Manufacturing execution systems: a vision for managing software development. J Syst Softw 101:59–68. https://doi.org/10.1016/j.jss.2014.11.015
Nakano D, Muniz J, Batista ED (2013) Engaging environments: tacit knowledge sharing on the shop floor. J Knowl Manag 17(2):290–306. https://doi.org/10.1108/13673271311315222
Negri E, Berardi S, Fumagalli L, Macchi M (2020) MES-integrated digital twin frameworks. J Manuf Syst 56(May):58–71. https://doi.org/10.1016/j.jmsy.2020.05.007
Oztemel E, Gursev S (2020) Literature review of Industry 4.0 and related technologies. J Intell Manuf 31(1):127–182. https://doi.org/10.1007/s10845-018-1433-8
Pekarčíková M, Trebuňa P, Kliment M (2019) Digitalization effects on the usability of lean tools. Acta Logistica 6(1):9–13. https://doi.org/10.22306/al.v6i1.112
Rahman MSA, Mohamad E, Abdul Rahman AA (2020) Enhancement of overall equipment effectiveness (OEE) data by using simulation as decision making tools for line balancing. Ind J Electr Eng Comput Sc 18(2):1040–1047. https://doi.org/10.11591/ijeecs.v18.i2.pp1040-1047
Ramadan M, Salah B, Othman M, Ayubali AA (2020) Industry 4.0-based real-time scheduling and dispatching in lean manufacturing systems. Sustainability (Switzerland), 12(6):1–18. https://doi.org/10.3390/su12062272
Ricken M, Vogel-Heuser B (2010) Modeling of manufacturing execution systems: an interdisciplinary challenge. In: Proceedings of the 15th IEEE international conference on emerging technologies and factory automation, ETFA 2010, pp 1–8. https://doi.org/10.1109/ETFA.2010.5641319
Robert M, Giuliani P, Gurau C (2020) Implementing industry 4.0 real-time performance management systems: the case of Schneider Electric. Prod Plan Cont 0(0):1–17. https://doi.org/10.1080/09537287.2020.1810761
Rojko A (2017) Industry 4.0 concept: background and overview. Int J Interact Mob Technol 11(5):77–90. https://doi.org/10.3991/ijim.v11i5.7072
Romero D, Flores M, Herrera M, Resendez H (2019) Five management pillars for digital transformation integrating the lean thinking philosophy. In: Proceedings—2019 IEEE international conference on engineering, technology and innovation, ICE/ITMC 2019
Rossini M, Costa F, Staudacher AP, Tortorella G (2019) Industry 4.0 and lean production: an empirical study. IFAC-PapersOnLine, 52(13):42–47. https://doi.org/10.1016/j.ifacol.2019.11.122
Salvadorinho J, Teixeira L, Santos BS (2020) Storytelling with data in the context of industry 4.0: a power bi-based case study on the shop floor. In Stephanidis C, Salvendy G, Wei J, Yamamoto S, Mori H, Meiselwitz G, Nah FF-H, Siau K (eds) HCI international 2020—late breaking papers: interaction, knowledge and social media (HCII 2020). Springer, Cham. https://doi.org/10.1007/978-3-030-60152-2_48
Santos J, Muñoz-Villamizar A, Ormazábal M, Viles E (2019) Using problem-oriented monitoring to simultaneously improve productivity and environmental performance in manufacturing companies. Int J Comput Integr Manuf 32(2):183–193. https://doi.org/10.1080/0951192X.2018.1552796
Sauer O (2014) Information technology for the factory of the future—state of the art and need for action. Procedia CIRP 25:293–296. https://doi.org/10.1016/j.procir.2014.10.041
Savastano M, Amendola C, Bellini F, D’Ascenzo F (2019) Contextual impacts on industrial processes brought by the digital transformation of manufacturing: a systematic review. Sustain (Switzerland) 11(3). https://doi.org/10.3390/su11030891
Sony M (2018) Industry 4.0 and lean management: a proposed integration model and research propositions. Prod Manuf Res 6(1):416–432. https://doi.org/10.1080/21693277.2018.1540949
Teixeira L, Ferreira C, Santos BS (2019) An information management framework to industry 4.0: a lean thinking approach. In: International conference on human systems engineering and design, vol 3, Issue Lim. Springer International Publishing. https://doi.org/10.1007/978-3-030-02053-8
Telukdarie A, Sishi MN (2019) Enterprise definition for industry 4.0. In: IEEE international conference on industrial engineering and engineering management, 2019-Decem, pp 849–853. https://doi.org/10.1109/IEEM.2018.8607642
Thun S, Kamsvåg PF, Kløve B, Seim EA, Torvatn HY (2019) Industry 4.0: whose revolution? The digitalization of manufacturing work processes. Nordic J Working Life Stud 9(4):39–57. https://doi.org/10.18291/njwls.v9i4.117777
Tortorella GL, Fettermann D (2018) Implementation of industry 4.0 and lean production in brazilian manufacturing companies. Int J Prod Res 56(8):2975–2987. https://doi.org/10.1080/00207543.2017.1391420
Tortorella GL, Giglio R, van Dun DH (2019) Industry 4.0 adoption as a moderator of the impact of lean production practices on operational performance improvement. Int J Oper Prod Manag 39:860–886. https://doi.org/10.1108/IJOPM-01-2019-0005
Tortorella GL, Pradhan N, Macias de Anda E, Trevino Martinez S, Sawhney R, Kumar M (2020) Designing lean value streams in the fourth industrial revolution era: proposition of technology-integrated guidelines. Int J Prod Res 0(0):1–14. https://doi.org/10.1080/00207543.2020.1743893
Unver HO (2013) An ISA-95-based manufacturing intelligence system in support of lean initiatives. Int J Adv Manuf Technol 65(5–8):853–866. https://doi.org/10.1007/s00170-012-4223-z
Urbina Coronado PD, Lynn R, Louhichi W, Parto M, Wescoat E, Kurfess T (2018) Part data integration in the shop floor digital twin: mobile and cloud technologies to enable a manufacturing execution system. J Manuf Syst 48:25–33. https://doi.org/10.1016/j.jmsy.2018.02.002
Wagner T, Herrmann C, Thiede S (2017) Industry 4.0 impacts on lean production systems. Procedia CIRP 63:125–131. https://doi.org/10.1016/j.procir.2017.02.041
Wilkesmann M, Wilkesmann U (2018). Industry 4.0—organizing routines or innovations? VINE J Inf Knowl Manage Syst 48(2):238–254. https://doi.org/10.1108/VJIKMS-04-2017-0019
Xu LD, Duan L (2019) Big data for cyber physical systems in industry 4.0: a survey. Enterpr Inf Syst 13(2):148–169. https://doi.org/10.1080/17517575.2018.1442934
Xu LD, Xu EL, Li L (2018) Industry 4.0: state of the art and future trends. Int J Prod Res 56(8):2941–2962. https://doi.org/10.1080/00207543.2018.1444806
Yue L, Wang L, Niu P, Zheng N (2019) Building a reference model for a manufacturing execution system (MES) platform in an Industry 4.0 context. J Phys: Conf Ser, 1345(6):0–7. https://doi.org/10.1088/1742-6596/1345/6/062002
Zhao W, Shi G, Cui Y (2018) The planning, design and application of MES. In: ACM international conference proceeding series, pp 1–4. https://doi.org/10.1145/3148453.3306304https://doi.org/10.1145/3148453.3306304
Zheng P, wang H, Sang Z, Zhong RY, Liu Y, Liu C, Mubarok K, Yu S, Xu X (2018) Smart manufacturing systems for industry 4.0: conceptual framework, scenarios, and future perspectives. Front Mech Eng 13(2):137–150. https://doi.org/10.1007/s11465-018-0499-5
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
Acknowledgements
This work was supported by Portuguese funds through the Institute of Electronics and Informatics Engineering of Aveiro (IEETA) and Foundation for Science and Technology (FCT), in the context of the project UIDB/00127/2020.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Salvadorinho, J., Teixeira, L., Santos, B.S., Ferreira, C. (2023). Supporting Production Management in the Fourth Industrial Revolution: A Framework Based on Shop-Floor Data. In: Duffy, V.G., Lehto, M., Yih, Y., Proctor, R.W. (eds) Human-Automation Interaction. Automation, Collaboration, & E-Services, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-031-10780-1_2
Download citation
DOI: https://doi.org/10.1007/978-3-031-10780-1_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-10779-5
Online ISBN: 978-3-031-10780-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)