Implementation of a Production Monitoring System Using IIoT Based on Mobile Application

Gun Gun Maulana; Siti Aminah; Berlliyanto Aji Nugraha

doi:10.29207/resti.v7i5.5221

Gun Gun Maulana Politeknik Manufaktur Bandung
Siti Aminah Politeknik Manufaktur Bandung
Berlliyanto Aji Nugraha Politeknik Manufaktur Bandung

DOI: https://doi.org/10.29207/resti.v7i5.5221

Keywords: production monitoring system, IIoT, OEE, mobile application, notification

Abstract

Productivity is a key factor in the success of a company, and real-time monitoring systems are necessary to achieve this goal. Manual data collection is time-consuming and exhausting. Industrial Internet of Things (IIoT) technology has been rapidly advancing in monitoring and optimizing industrial processes. Production processes can be disrupted due to machine problems; hence, the need to analyze machine efficiency using the overall equipment effectiveness (OEE) method. This study implements a system that uses Industrial Internet of Things technology based on mobile application to monitor production processes, report production results, assess machine performance using the OEE method and provide maintenance notifications based on time-based maintenance. Research findings indicate that the production monitoring system implemented on a prototype press machine based on an interactive mobile application interface is capable of monitoring production processes and reporting production results. The system can also assess machine performance using the OEE method, with a calculation accuracy of 99.95% and maintenance notifications with a delay time of 1.04 seconds.

Downloads

Download data is not yet available.

References

H. C. Shiva Prasad, P. S. Rao, B. Gopalkrishna, and A. Ahluwalia, “Productivity enhancement through production monitoring system,” Int. J. Appl. Bus. Econ. Res., vol. 14, no. 3, pp. 1755–1767, 2016.

A. Budiyarto, G. G. Maulana, R. Ridwan, and F. Dzulfikar, “Desain Implementasi Andon untuk Production Monitoring System Berbasis Internet of Thing,” CESS (Journal Comput. Eng. Syst. Sci., vol. 5, no. 1, p. 89, 2020, doi: 10.24114/cess.v5i1.14754.

R. N. Gujar, A. Adsule, A. Shrivastava, and A. Tewari, “Machine Monitoring and Data Analytics for Optimization of Manufacturing and Planning using IIoT,” pp. 911–914.

T. Zabiński, T. Maoczka, J. Kluska, M. Madera, and J. Sȩp, “Condition monitoring in Industry 4.0 production systems - The idea of computational intelligence methods application,” Procedia CIRP, vol. 79, pp. 63–67, 2019, doi: 10.1016/j.procir.2019.02.012.

B. Bhandari, “A Hybrid IIoT-based System for Real-time Monitoring and Control of Industrial Processes,” vol. 11, no. 1, pp. 82–93, 2020.

L. Hou, S. Tan, Z. Zhang, and N. W. Bergmann, “Thermal energy harvesting WSNs node for temperature monitoring in IIoT,” IEEE Access, vol. 6, no. c, pp. 35243–35249, 2018, doi: 10.1109/ACCESS.2018.2851203.

M. Kumar, R. Vaishya, and Parag, “Real-Time Monitoring System to Lean Manufacturing,” Procedia Manuf., vol. 20, pp. 135–140, 2018, doi: 10.1016/j.promfg.2018.02.019.

M. Saez, F. P. Maturana, K. Barton, and D. M. Tilbury, “Real-Time Manufacturing Machine and System Performance Monitoring Using Internet of Things,” IEEE Trans. Autom. Sci. Eng., vol. 15, no. 4, pp. 1735–1748, 2018, doi: 10.1109/TASE.2017.2784826.

H. Ariyah, “Penerapan Metode Overall Equipment Effectiveness ( OEE ) Dalam Peningkatan Efisiensi Mesin Batching Plant ( Studi Kasus : PT . Lutvindo Wijaya Perkasa ),” J. Teknol. Dan Manaj. Ind. Terap., vol. 1, no. Ii, pp. 70–77, 2022.

D. Alvira, Y. Helianty, and H. Prassetiyo, “Usulan Peningkatan Overall Equipment Effectiveness ( Oee ) Pada Mesin Tapping Manual Dengan Meminimumkan Six Big Losses,” J. Itenas Bandung, vol. 03, no. 03, pp. 240–251, 2015.

V. Vernando and I. H. Mulyadi, “Sistem Penghitung Nilai Efektivitas Mesin Forming Menggunakan Metode Overall Equipment Effectiveness,” J. Appl. Electr. Eng., vol. 4, no. 2, pp. 34–39, 2020, doi: 10.30871/jaee.v4i2.2702.

A. F. P. Dwipa, A. Hafizh, F. Indra, “PERANCANGAN SISTEM PERAWATAN PREVENTIF TIME BASED MAINTENANCE DI LABORATORIUM PEMESINAN DASAR POLMANBABEL,” vol. 2, no. January, pp. 477–484, 2022.

W. Wu, “Flutter Vs React,” no. March, pp. 1–34, 2018, [Online]. Available: https://www.theseus.fi/bitstream/handle/10024/146232/thesis.pdf?sequence=1

E. Andersson, Z. Berggren, E. Andersson, and Z. Berggren, “A Comparison Between MongoDB and MySQL Document Store Considering Performance,” p. Angeles, L., Advocacy, S., Location, O. (2002)., 2017.

V. Pardeshi, S. Sagar, S. Murmurwar, and P. Hage, “Health monitoring systems using IoT and Raspberry Pi - A review,” IEEE Int. Conf. Innov. Mech. Ind. Appl. ICIMIA 2017 - Proc., no. Icimia, pp. 134–137, 2017, doi: 10.1109/ICIMIA.2017.7975587.

N. Komal Kumar, D. Vigneswari, and C. Rogith, “An Effective Moisture Control based Modern Irrigation System (MIS) with Arduino Nano,” 2019 5th Int. Conf. Adv. Comput. Commun. Syst. ICACCS 2019, pp. 70–72, 2019, doi: 10.1109/ICACCS.2019.8728446.

F. N. Habibi, S. Setiawidayat, and M. Mukhsim, “Alat Monitoring Pemakaian Energi Listrik Berbasis Android Menggunakan Modul PZEM-004T,” Pros. Semin. Nas. Teknol. Elektro Terap., vol. 1, no. 1, pp. 157–162, 2017.

P. Megantoro, A. Latif, B. A. Pramudita, and P. Vigneshwaran, “Automatic limit switch calibrator for control valve at steam turbine of a geothermal power plant,” Bull. Electr. Eng. Informatics, vol. 10, no. 3, pp. 1245–1251, 2021, doi: 10.11591/eei.v10i3.3031.

L. R. Zhang, J. Xiao, W. W. Zhang, and X. G. Zhang, “Research on Embedded Detection System Based on Intelligent Pressure Transmitter,” J. Phys. Conf. Ser., vol. 2252, no. 1, 2022, doi: 10.1088/1742-6596/2252/1/012020.

I. Graessler and J. Hentze, “The new V-Model of VDI 2206 and its validation das Neue V-Modell der VDI 2206 und seine Validierung,” At-Automatisierungstechnik, vol. 68, no. 5, pp. 312–324, 2020, doi: 10.1515/auto-2020-0015.

Y. D. Wijaya, “Penerapan Metode Rapid Application Development (Rad) Dalam Pengembangan Sistem Informasi Data Toko,” J. SITECH Sist. Inf. dan Teknol., vol. 3, no. 2, pp. 95–102, 2021, doi: 10.24176/sitech.v3i2.5141.

M. R. Oktaviani and Rizky Pradana, “Prototype Sistem Pakan Ikan dan Pemantauan PH Berbasis Android dengan Metode PLC,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 5, no. 4, pp. 729–738, 2021, doi: 10.29207/resti.v5i4.3193.