Perencanaan dan Pengendalian Produksi Menggunakan Teknologi Informasi
Keywords:
perencanaan industri, pengendalian produksi, teknologi informasi, analisis kebutuhan
Abstract
Penelitian ini bertujuan mengimplementasikan penggunaan teknologi informasi pada perencanaan dan pengendalian produksi manufaktur di industri. Tahapan untuk perubahan dari kegiatan manual dan padat karya yang tidak memberikan nilai tambah ke konfigurasi teknologi informasi dan penggunaan perangkat komputer. Sebelumnya kebutuhan di industri dalam hal peningkatan kemampuan perencanaan dan pemantauan pengendalian produksi. Selanjutnya dilakukan analisis kebutuhan, serangkaian fungsi teknologi informasi diusulkan dan dipetakan sesuai kebutuhan spesifik dari industri. Solusi penggunaan teknologi informasi yang digunakan meliputi teknologi informasi seperti internet of things, pengelolaan data, perencanaan produksi berbasis teknologi informasi, dan pemanfaatan teknologi informasi berbasis web. Untuk contoh studi kasus dalam industri ini diperoleh manfaat bagaimana penggunaan teknologi siap pakai yang bersifat open-source, serta terintegrasi dengan sistem dengan beberapa fitur dan fasilitas yang ada pada teknologi informasi dapat mengurangi beban tugas keseharian dalam bidang manajemen produksi juga meringankan beban perencanaan dan pengendalian produksi. Para ahli bekerjasama dengan tim manajemen di perusahaan skala menengah mendapatkan pengalaman dan manfaat langsung tentang penggunaan teknologi informasi proses bagi organisasi yang berharga untuk melanjutkan pemanfaatan teknologi informasi bagi organisasi.
Downloads
Download data is not yet available.
References
[1] Z. Munawar et al., “Audit Sistem Informasi : Teori, Framework Dan Studi Kasus Menggunakan Framework,” in Audit Sistem Informasi : Teori, Framework Dan Studi Kasus Menggunakan Framework, First., Bandung: Indie Press, 2022, p. 271.
[2] G. Chryssolouris, Manufacturing Systems: Theory and Practice (Mechanical Engineering Series), 2nd ed. New York, NY, USA: Springer, 2005.
[3] K. Alexopoulos, K. Sipsas, E. Xanthakis, and D. Mourtzis, “An industrial Internet of things based platform for context-aware information services in manufacturing,” Int. J. Comput. Integr. Manuf., vol. 31, no. 11, pp. 1111–1123, 2018.
[4] C.-L. Chen, “Value Creation by SMEs Participating in Global Value Chains under Industry 4.0 Trend: Case Study of Textile Industry in Taiwan,” J. Glob. Inf. Technol. Manag., vol. 22, no. 2, pp. 120–145, 2019.
[5] Z. Munawar, “Mekanisme keselamatan, keamanan dan keberlanjutan untuk sistem siber fisik,” J. Teknol. Inf. Dan Komun., vol. 7, no. 1, pp. 58–87, 2020.
[6] Z. Munawar, “Keamanan Pada E-Commerce Usaha Kecil dan Menengah,” Tematik, vol. 5, no. 1, pp. 1–16, 2018.
[7] E. Commission, “Smart Industrial Remoting: Remote Working in Non-Digitalised Industries,” Pilot Project, Gap Analysis Report., 2022. [Online]. Available: https://digital-strategy.ec.europa.eu/en/funding/smart-industrial-remoting-remote-working-non-digitalized-industries. [Accessed: 01-Apr-2023].
[8] A. Moeuf, R. Pellerin, S. Lamouri, S. Tamayo, and R. Barbaray, “The industrial management of SMEs in the era of Industry 4.0,” Int. J. Prod. Res., vol. 56, no. 3, pp. 1118–1136, 2018.
[9] D. Mourtzis, K. Vlachou, N. Xanthopoulos, and L. Wang, “Cloud-based adaptive process planning considering availability and capabilities of machine tools,” J. Manuf. Syst., vol. 39, no. April, pp. 1–18, 2016.
[10] N. I. Putri, R. Komalasari, and Z. Munawar, “Pentingnya Keamanan Data dalam Intelijen Bisnis,” J-SIKA| J. Sist. Inf. Karya Anak Bangsa, vol. 2, no. 2, pp. 41–48, 2020.
[11] F. Ferreira, J. Faria, A. Azevedo, and A. L. Marques, “ndustry 4.0 as Enabler for Effective Manufacturing Virtual Enterprises,” in IFIP International Federation for Information Processing 2016, 2016, pp. 274–285.
[12] Á. O. Bas, R. D. Franco, and M. Alba, “V-CHAIN: Migrating from Extended to Virtual Enterprise within an Automotive Supply Chain,” in IFIP Advances in Information and Communication Technology, 2003, pp. 145–152.
[13] L. Agostini and R. Filippini, “Organizational and managerial challenges in the path towards Industry 4.0,” Eur. J. Innov. Manag., vol. 22, no. 2, pp. 1–17, 2019.
[14] N. G. P. Carvalho, O. Chaim, E. Cazarini, and M. C. Gerolamo, “Manufacturing in the fourth industrial revolution: A positive prospect in Sustainable Manufacturing,” in Procedia Manufacturing, 2018, vol. 21, no. 4, pp. 671–678.
[15] U. Dombrowski and Y. Dix, “An Analysis of the Impact of Industrie 4.0 on Production Planning and Control,” in IFIP International Conference on Advances in Production Management Systems, 2018, pp. 114–121.
[16] H. Ltifi, E. Benmohamed, C. Kolski, and M. Ben Ayed, “Enhanced visual data mining process for dynamic decision-making,” in Knowledge-Based Systems 112, 2016, pp. 166–181.
[17] Z. Munawar, N. Suryana, Z. B. Sa’aya, and Y. Herdiana, “Framework With An Approach To The User As An Evaluation For The Recommender Systems,” in 2020 Fifth International Conference on Informatics and Computing (ICIC), 2020, pp. 1–5.
[18] S. S. Chauhan and P. Kotecha, “Single-Level Production Planning in Petrochemical Industries Using Novel Computational Intelligence Algorithms,” in Nature-Inspired Methods for Metaheuristics Optimization, Cham.: Springer, 2020, pp. 215-243.
[19] M. Zhang, F. Taoa, and A. Y. C. Nee, “Digital Twin Enhanced Dynamic Job-Shop Scheduling,” J. Manuf. Syst., vol. 58, no. B, pp. 146–156, 2020.
[20] P. D. U. Coronado, R. L. Lynn, and W. Louhichi, “Part data integration in the Shop Floor Digital Twin: Mobile and cloud technologies to enable a manufacturing execution system,” J. Manuf. Syst., vol. 48, no. C, pp. 25–33, 2018.
[21] A. C. Pereira and F. Romero, “A review of the meanings and the implications of the Industry 4.0 concept,” in Procedia Manufacturing 13, 2017, pp. 1206–1214.
[22] L. Martins, N. Fernandes, and L. R. Varela, “Autonomous Production Control: A Literature Review,” in International Conference on Innovation, Engineering and Entrepreneurship, 2018, pp. 425–431.
[23] T. Mittag, J. Gausemeier, I. Graessler, P. Iwanek, D. Koechling, and M. Petersen, “Conceptual Design of a Self-optimising Production Control System,” in Procedia CIRP 25, 2014, pp. 230–237.
[24] C. V. Murudkar and R. D. Gitlin, “User-Centric Approaches for Next-Generation Self-Organizing Wireless Communication Networks Using Machine Learning,” in 2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS), 2019, pp. 1–6.
[25] P. Zheng, H. Wang, Z. Sang, and X. Xu, “Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives,” Front. Mech. Eng., vol. 13, no. 8, pp. 137–150, 2018.
[26] S. Andalam, D. J. X. Ng, A. Easwaran, and K. Thangamariappan, “Contract-Based Methodology for Developing Resilient Cyber-Infrastructure in the Industry 4.0 Era,” IEEE Embed. Syst. Lett., vol. 11, no. 1, pp. 5–8, 2019.
[27] M. ali Farsi and E. Zio, “Industry 4.0: Some Challenges and Opportunities for Reliability Engineering,” Int. J. Reliab. Risk Saf. Theory Appl., vol. 2, no. 1, pp. 23–34, 2019.
[28] P. K. Verma and R. Verma, “Machine-to-Machine (M2M) communications: A survey,” J. Netw. Comput. Appl., vol. 66, pp. 83–105, 2014.
[29] S. Saad and H. Jafarnejad, “Smart Production Planning and Control: Technology Readiness Assessment,” in Procedia Computer Science, 2021, pp. 1–11.
[30] Z. Munawar, “Meningkatkan Kinerja Individu melalui Kritik/Saran menggunakan Recommender System,” Temat. - J. Teknol. Inf. dan Komun., vol. 6, no. 1, pp. 20–37, Jun. 2019.
[31] N. I. Putri, Iswanto, A. Dwijayanti, R. Komalasari, and Z. Munawar, “Penerapan Model Maturitas Digital Pada Kinerja Startup,” Temat. J. Teknol. Inf. Komun., vol. 9, no. 1, pp. 61–69, 2022.
[32] K. Alexopoulos, N. Nikolakis, and E. Xanthakis, “Digital Transformation of Production Planning and Control in Manufacturing SMEs-The Mold Shop Case,” Appl. Sci., vol. 12, no. 10788, pp. 1–14, 2022.
[33] E. Arica and D. Powell, “A framework for ICT-enabled real-time production planning and control,” Adv. Manuf., vol. 2, no. 2, pp. 158–164, 2014.
[2] G. Chryssolouris, Manufacturing Systems: Theory and Practice (Mechanical Engineering Series), 2nd ed. New York, NY, USA: Springer, 2005.
[3] K. Alexopoulos, K. Sipsas, E. Xanthakis, and D. Mourtzis, “An industrial Internet of things based platform for context-aware information services in manufacturing,” Int. J. Comput. Integr. Manuf., vol. 31, no. 11, pp. 1111–1123, 2018.
[4] C.-L. Chen, “Value Creation by SMEs Participating in Global Value Chains under Industry 4.0 Trend: Case Study of Textile Industry in Taiwan,” J. Glob. Inf. Technol. Manag., vol. 22, no. 2, pp. 120–145, 2019.
[5] Z. Munawar, “Mekanisme keselamatan, keamanan dan keberlanjutan untuk sistem siber fisik,” J. Teknol. Inf. Dan Komun., vol. 7, no. 1, pp. 58–87, 2020.
[6] Z. Munawar, “Keamanan Pada E-Commerce Usaha Kecil dan Menengah,” Tematik, vol. 5, no. 1, pp. 1–16, 2018.
[7] E. Commission, “Smart Industrial Remoting: Remote Working in Non-Digitalised Industries,” Pilot Project, Gap Analysis Report., 2022. [Online]. Available: https://digital-strategy.ec.europa.eu/en/funding/smart-industrial-remoting-remote-working-non-digitalized-industries. [Accessed: 01-Apr-2023].
[8] A. Moeuf, R. Pellerin, S. Lamouri, S. Tamayo, and R. Barbaray, “The industrial management of SMEs in the era of Industry 4.0,” Int. J. Prod. Res., vol. 56, no. 3, pp. 1118–1136, 2018.
[9] D. Mourtzis, K. Vlachou, N. Xanthopoulos, and L. Wang, “Cloud-based adaptive process planning considering availability and capabilities of machine tools,” J. Manuf. Syst., vol. 39, no. April, pp. 1–18, 2016.
[10] N. I. Putri, R. Komalasari, and Z. Munawar, “Pentingnya Keamanan Data dalam Intelijen Bisnis,” J-SIKA| J. Sist. Inf. Karya Anak Bangsa, vol. 2, no. 2, pp. 41–48, 2020.
[11] F. Ferreira, J. Faria, A. Azevedo, and A. L. Marques, “ndustry 4.0 as Enabler for Effective Manufacturing Virtual Enterprises,” in IFIP International Federation for Information Processing 2016, 2016, pp. 274–285.
[12] Á. O. Bas, R. D. Franco, and M. Alba, “V-CHAIN: Migrating from Extended to Virtual Enterprise within an Automotive Supply Chain,” in IFIP Advances in Information and Communication Technology, 2003, pp. 145–152.
[13] L. Agostini and R. Filippini, “Organizational and managerial challenges in the path towards Industry 4.0,” Eur. J. Innov. Manag., vol. 22, no. 2, pp. 1–17, 2019.
[14] N. G. P. Carvalho, O. Chaim, E. Cazarini, and M. C. Gerolamo, “Manufacturing in the fourth industrial revolution: A positive prospect in Sustainable Manufacturing,” in Procedia Manufacturing, 2018, vol. 21, no. 4, pp. 671–678.
[15] U. Dombrowski and Y. Dix, “An Analysis of the Impact of Industrie 4.0 on Production Planning and Control,” in IFIP International Conference on Advances in Production Management Systems, 2018, pp. 114–121.
[16] H. Ltifi, E. Benmohamed, C. Kolski, and M. Ben Ayed, “Enhanced visual data mining process for dynamic decision-making,” in Knowledge-Based Systems 112, 2016, pp. 166–181.
[17] Z. Munawar, N. Suryana, Z. B. Sa’aya, and Y. Herdiana, “Framework With An Approach To The User As An Evaluation For The Recommender Systems,” in 2020 Fifth International Conference on Informatics and Computing (ICIC), 2020, pp. 1–5.
[18] S. S. Chauhan and P. Kotecha, “Single-Level Production Planning in Petrochemical Industries Using Novel Computational Intelligence Algorithms,” in Nature-Inspired Methods for Metaheuristics Optimization, Cham.: Springer, 2020, pp. 215-243.
[19] M. Zhang, F. Taoa, and A. Y. C. Nee, “Digital Twin Enhanced Dynamic Job-Shop Scheduling,” J. Manuf. Syst., vol. 58, no. B, pp. 146–156, 2020.
[20] P. D. U. Coronado, R. L. Lynn, and W. Louhichi, “Part data integration in the Shop Floor Digital Twin: Mobile and cloud technologies to enable a manufacturing execution system,” J. Manuf. Syst., vol. 48, no. C, pp. 25–33, 2018.
[21] A. C. Pereira and F. Romero, “A review of the meanings and the implications of the Industry 4.0 concept,” in Procedia Manufacturing 13, 2017, pp. 1206–1214.
[22] L. Martins, N. Fernandes, and L. R. Varela, “Autonomous Production Control: A Literature Review,” in International Conference on Innovation, Engineering and Entrepreneurship, 2018, pp. 425–431.
[23] T. Mittag, J. Gausemeier, I. Graessler, P. Iwanek, D. Koechling, and M. Petersen, “Conceptual Design of a Self-optimising Production Control System,” in Procedia CIRP 25, 2014, pp. 230–237.
[24] C. V. Murudkar and R. D. Gitlin, “User-Centric Approaches for Next-Generation Self-Organizing Wireless Communication Networks Using Machine Learning,” in 2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS), 2019, pp. 1–6.
[25] P. Zheng, H. Wang, Z. Sang, and X. Xu, “Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives,” Front. Mech. Eng., vol. 13, no. 8, pp. 137–150, 2018.
[26] S. Andalam, D. J. X. Ng, A. Easwaran, and K. Thangamariappan, “Contract-Based Methodology for Developing Resilient Cyber-Infrastructure in the Industry 4.0 Era,” IEEE Embed. Syst. Lett., vol. 11, no. 1, pp. 5–8, 2019.
[27] M. ali Farsi and E. Zio, “Industry 4.0: Some Challenges and Opportunities for Reliability Engineering,” Int. J. Reliab. Risk Saf. Theory Appl., vol. 2, no. 1, pp. 23–34, 2019.
[28] P. K. Verma and R. Verma, “Machine-to-Machine (M2M) communications: A survey,” J. Netw. Comput. Appl., vol. 66, pp. 83–105, 2014.
[29] S. Saad and H. Jafarnejad, “Smart Production Planning and Control: Technology Readiness Assessment,” in Procedia Computer Science, 2021, pp. 1–11.
[30] Z. Munawar, “Meningkatkan Kinerja Individu melalui Kritik/Saran menggunakan Recommender System,” Temat. - J. Teknol. Inf. dan Komun., vol. 6, no. 1, pp. 20–37, Jun. 2019.
[31] N. I. Putri, Iswanto, A. Dwijayanti, R. Komalasari, and Z. Munawar, “Penerapan Model Maturitas Digital Pada Kinerja Startup,” Temat. J. Teknol. Inf. Komun., vol. 9, no. 1, pp. 61–69, 2022.
[32] K. Alexopoulos, N. Nikolakis, and E. Xanthakis, “Digital Transformation of Production Planning and Control in Manufacturing SMEs-The Mold Shop Case,” Appl. Sci., vol. 12, no. 10788, pp. 1–14, 2022.
[33] E. Arica and D. Powell, “A framework for ICT-enabled real-time production planning and control,” Adv. Manuf., vol. 2, no. 2, pp. 158–164, 2014.
Published
2023-12-06
How to Cite
Angling Sugiatna. (2023). Perencanaan dan Pengendalian Produksi Menggunakan Teknologi Informasi. TEMATIK, 10(2), 210 - 215. Retrieved from https://jurnal.plb.ac.id/index.php/tematik/article/view/1622
