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General Aspects of the Application of Computational Methods in Industry 4.0

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Computational Methods for Application in Industry 4.0

Abstract

Since the beginning of the first industrial revolution, engineers were always attempting to resolve problems related to the operation of machinery and their maintenance. They also aimed at the improvement of the efficiency of manufacturing processes and generally at the organization of the production and other relative subjects. As it was anticipated, systematic approaches for the scientific study of industry-related problems were established and the solutions were proposed. However, after the introduction of computers and development of computational methods, a new promising era for solving industry-related problems emerged, as advanced computational techniques were capable of providing approximate but significantly accurate solutions. Especially, when it is desired to increase the efficiency of manufacturing processes by determining the optimum process parameters or when the solution of hard production-based problems, such as scheduling, is required, optimization methods can be employed.

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References

  1. Hermann M, Pentek T, Otto B (2016) Design principles for industrie 4.0 scenarios. In: 2016 49th Hawaii international conference on system sciences (HICSS). Koloa, USA, pp 3928–3937

    Google Scholar 

  2. Qian F, Zhong W, Du W (2017) Fundamental theories and key technologies for smart and optimal manufacturing in the process industry. Engineering 3:154–160

    Article  Google Scholar 

  3. Roblek V, Meško M, Krapež A (2016) A complex view of industry 4.0. SAGE Open 6:2158244016653987

    Article  Google Scholar 

  4. Kagermann H, Wolf-Dieter L, Wahlster W (2011) Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. industriellen Revolution. VDI Nachrichten 13:11

    Google Scholar 

  5. Liu Y, Xu X (2016) Industry 4.0 and cloud manufacturing: a comparative analysis. J Manuf Sci Eng 139:34701–34708

    Article  Google Scholar 

  6. Aiman Kamarul Bahrin M, Othman F, Hayati Nor Azli N, Farihin Talib M (2016) Industry 4.0: a review on industrial automation and robotic. Jurnal Teknologi 78:137–143

    Google Scholar 

  7. Thoben K-D, Wiesner S, Wuest T (2017) “Industrie 4.0” and smart manufacturing—a review of research issues and application examples. Int J Autom Technol 11(1):4–16

    Article  Google Scholar 

  8. Zhong RY, Xu X, Klotz E, Newman ST (2017) Intelligent manufacturing in the context of industry 4.0: a review. Engineering 3:616–630

    Article  Google Scholar 

  9. Lu Y (2017) Industry 4.0: a survey on technologies, applications and open research issues. J Ind Inf Integr 6:1–10

    Google Scholar 

  10. Wang S, Wan J, Zhang D, Li D, Zhang C (2016) Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Comput Netw 101:158–168

    Article  Google Scholar 

  11. Shrouf F, Ordieres J, Miragliotta G (2014) Smart factories in industry 4.0: a review of the concept and of energy management approached in production based on the internet of things paradigm. In: 2014 IEEE international conference on industrial engineering and engineering management. Bandar Sunway, Malaysia, pp 697–701

    Google Scholar 

  12. Tamás P, Illes B, Dobos P (2016) Waste reduction possibilities for manufacturing systems in the industry 4.0. IOP Conf Ser Mater Sci Eng 161(1):012074

    Article  Google Scholar 

  13. Liao Y, Deschamps F, de Loures EFR, Ramos LFP (2017) Past, present and future of Industry 4.0—a systematic literature review and research agenda proposal. Int J Prod Res 55:3609–3629

    Article  Google Scholar 

  14. Illés B, Tamás P, Dobos P, Skapinyecz R (2017) New challenges for quality assurance of manufacturing processes in industry 4.0. Solid State Phenom 261:481–486

    Article  Google Scholar 

  15. Tamás Péter, Illes B (2016) Process improvement trends for manufacturing systems in industry 4.0. Acad J Manuf Eng 14:119–125

    Google Scholar 

  16. Rao SS (2009) Introduction to optimization. Wiley, Hoboken

    Google Scholar 

  17. Lin M-H, Tsai J-F, Yu C-S (2012) A review of deterministic optimization methods in engineering and management. J Math Probl Eng 756023

    Google Scholar 

  18. Rothlauf F (2011) Design of modern heuristics: principles and application, 1st edn. Springer Publishing Company Inc., Berlin

    Book  Google Scholar 

  19. Wang X, Damodaran M (2000) Comparison of deterministic and stochastic optimization algorithms for generic wing design problems. J Aircr 37:929–932

    Article  Google Scholar 

  20. El-Ghazali T (2009) Metaheuristics: from design to implementation. Wiley Publishing, Hoboken

    MATH  Google Scholar 

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Correspondence to Nikolaos E. Karkalos .

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Karkalos, N.E., Markopoulos, A.P., Davim, J.P. (2019). General Aspects of the Application of Computational Methods in Industry 4.0. In: Computational Methods for Application in Industry 4.0. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-92393-2_1

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  • DOI: https://doi.org/10.1007/978-3-319-92393-2_1

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