Analisis Dampak Perubahan Data Order Produksi Terhadap Kinerja Manufaktur Alas Kaki PT. XYZ Menggunakan Causal Loop Diagram
DOI:
https://doi.org/10.31294/imtechno.v6i2.9099Keywords:
Biaya Klaim, Sistem Dinamik, Ubah PesananAbstract
- PT. XYZ merupakan sebuah perusahaan manufaktur alas kaki terkemuka yang menghadapi tantangan signifikan terkait perubahan data order yang diinisiasi oleh konsumen. Periode 2014 hingga 2022 menunjukkan volume perubahan yang masif, mencapai 26.540.233 pasang sepatu, terklasifikasi menjadi pembatalan (cancellation), perubahan detail item (item text), dan penyesuaian ukuran (size run). Pemahaman mengenai kompleksitas dan implikasi dari fenomena ini, dilakukan analisis mendalam menggunakan Causal Loop Diagram (CLD). Pendekatan CLD memfasilitasi pemahaman holistik tentang hubungan sebab-akibat dalam struktur sistem, khususnya dalam mengidentifikasi dampak dari perubahan data order. Dari analisis CLD, terlihat bahwa perubahan ini memicu respons di berbagai departemen, termasuk penjadwalan (scheduling), produksi, dan pengiriman (shipping order). Dampak yang teridentifikasi melalui CLD meliputi peningkatan jam kerja, gangguan pada alur proses produksi, dan kenaikan biaya operasional akibat pengerjaan ulang (rework). Sebagai upaya mitigasi dan perbaikan sistem, disarankan untuk mengimplementasikan mekanisme klaim biaya (claim cost) sebagai konsekuensi dari perubahan data order. Perhitungan klaim biaya ini krusial sebagai dasar pengambilan keputusan bagi PT. XYZ dalam menerima atau menolak perubahan data order di masa mendatang, sehingga meminimalkan kerugian finansial dan operasional.
References
Ahmed Khalafallah, M. A., & Yasmin Shalaby. (2019). Change Orders: Automating Comparative Data Analysis and Controlling Impacts in Public Projects. Journal of Construction Engineering and Management, 145(11). https://doi.org/https://doi.org/10.1061/(ASCE)CO.1943-7862.0001700
Ali, N., Ahmed, A., Anum, L., Ghazal, T. M., Abbas, S., Khan, M. A., Alzoubi, H. M., & Ahmad, M. (2021). Modelling supply chain information collaboration empowered with machine learning technique. Intelligent Automation and Soft Computing, 30(1), 243–257. https://doi.org/10.32604/iasc.2021.018983
Arefazar, Y., Nazari, A., Hafezi, M. R., & Maghool, S. A. H. (2022). Prioritizing agile project management strategies as a change management tool in construction projects. International Journal of Construction Management, 22(4), 678–689. https://doi.org/10.1080/15623599.2019.1644757
Awodi, N. J., Liu, Y. K., Ayodeji, A., & Adibeli, J. O. (2021). Expert judgement-based risk factor identification and analysis for an effective nuclear decommissioning risk assessment modeling. Progress in Nuclear Energy, 136(February), 103733. https://doi.org/10.1016/j.pnucene.2021.103733
Barbrook-Johnson, P., & Penn, A. S. (2022). Systems Mapping - How to build and use causal models of systems. In Systems Mapping. Palgrave Macmillan. https://doi.org/ISBN 978-3-031-01833-6 ISBNhttps://doi.org/10.1007/978-3-031-01919-7
Ahmed Khalafallah, M. A., & Yasmin Shalaby. (2019). Change Orders: Automating Comparative Data Analysis and Controlling Impacts in Public Projects. Journal of Construction Engineering and Management, 145(11). https://doi.org/https://doi.org/10.1061/(ASCE)CO.1943-7862.0001700
Ali, N., Ahmed, A., Anum, L., Ghazal, T. M., Abbas, S., Khan, M. A., Alzoubi, H. M., & Ahmad, M. (2021). Modelling supply chain information collaboration empowered with machine learning technique. Intelligent Automation and Soft Computing, 30(1), 243–257. https://doi.org/10.32604/iasc.2021.018983
Arefazar, Y., Nazari, A., Hafezi, M. R., & Maghool, S. A. H. (2022). Prioritizing agile project management strategies as a change management tool in construction projects. International Journal of Construction Management, 22(4), 678–689. https://doi.org/10.1080/15623599.2019.1644757
Awodi, N. J., Liu, Y. K., Ayodeji, A., & Adibeli, J. O. (2021). Expert judgement-based risk factor identification and analysis for an effective nuclear decommissioning risk assessment modeling. Progress in Nuclear Energy, 136(February), 103733. https://doi.org/10.1016/j.pnucene.2021.103733
Barbrook-Johnson, P., & Penn, A. S. (2022). Systems Mapping - How to build and use causal models of systems. In Systems Mapping. Palgrave Macmillan. https://doi.org/ISBN 978-3-031-01833-6 ISBNhttps://doi.org/10.1007/978-3-031-01919-7
Delgado-Maciel, J., Cortés-Robles, G., Alor-Hernández, G., Alcaráz, J. G., & Negny, S. (2018). A comparison between the Functional Analysis and the Causal-Loop Diagram to model inventive problems. Procedia CIRP, 70(March), 259–264. https://doi.org/10.1016/j.procir.2018.03.235
Dhirasasna, N., & Sahin, O. (2019). A multi-methodology approach to creating a causal loop diagram. Systems, 7(3). https://doi.org/10.3390/systems7030042
James A. Miller, Miller, J. A., & Sunkuk Kim. (2020). Cost Impacts of Change Orders due to Unforeseen Existing Conditions in Building Renovation Projects. Journal of Construction Engineering and Management, 146(8). https://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001888
Kaviyani-Charati, M., Ghodsypour, S. H., & Hajiaghaei-Keshteli, M. (2022). Impact of adopting quick response and agility on supply chain competition with strategic customer behavior. Scientia Iranica, 29(1 E), 387–411. https://doi.org/10.24200/sci.2020.53691.3366
Parola, F., Satta, G., Buratti, N., & Vitellaro, F. (2021). Digital technologies and business opportunities for logistics centres in maritime supply chains. Maritime Policy and Management, 48(4), 461–477. https://doi.org/10.1080/03088839.2020.1802784
Ryan, E., Pepper, M., & Munoz, A. (2021). Causal Loop Diagram Aggregation Towards Model Completeness. Systemic Practice and Action Research, 34(1), 37–51. https://doi.org/10.1007/s11213-019-09507-7
Schaffernicht, M. (2010). Causal loop diagrams between structure and behaviour: A critical analysis of the relationship between polarity, behaviour and events. Systems Research and Behavioral Science, 27(6), 653–666. https://doi.org/https://doi.org/10.1002/sres.1018
Shrouk Gharib, A. M. A., Ossama Hosny, Ph.D., M. A., & Ahmed Waly, Ph.D., A.M.ASCE and Ibrahim Abotaleb, Ph.D., A. M. A. (2023). System Dynamics as an Assistive Tool to Delay Analysis in Identifying Productivity Losses. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 15(3). https://doi.org/https://doi.org/10.1061/JLADAH.LADR-948
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Sigit Adi Pratama, M.T., Setyadi Tri Yoga, M.Tr.T (Author)

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.






