An Implementation Analysis of AHP-TOPSIS and Music-3D for Optimizing Spare Part Inventory Control (Case Study: PT. Bati)
Abstract
This study proposes an integrated spare part inventory control decision-making model using AHP-TOPSIS and MUSIC-3D. While previous studies applied these methods independently, this research combines them within a general trading context to address procurement prioritization and inventory segmentation. AHP was used to assign weights to three inventory criteria: annual consumption (ABC), turnover rate (FSN), and unit price (HML). These weights informed the TOPSIS ranking of 50 spare parts, identifying high-priority items such as MRCT 430 and WLOR XR96. MUSIC-3D further classified items into 16 multidimensional categories to support differentiated control strategies. A one-month implementation at PT. BATI demonstrated improvements in stock control and cost efficiency. The model provides a structured, scalable framework for companies facing high inventory complexity.
Keywords: Inventory Management, AHP, TOPSIS, MUSIC-3D, Spare parts, Multi-Criteria Decision Making
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J.Heizer andB.Render, “Operations Management Sustainability and Supply Chain Management (11th ed.),” 2014.
Haslindah, A. S.Iriani, M.Ardi, andZulkifli, “Penerapan Manajemen Persediaan Dalam Mengantispasi Kerugian Barang Dagangan Di Toko Mega Jilbab,” J. Manaj. dan Perbank. Syariah, vol. 2, pp. 57–69, 2020.
E.Budiningsih andW. A.Jauhari, “Analisis Pengendalian Persediaan Spare Part Mesin Produksi di PT. Prima Sejati Sejahtera dengan Metode Continuous Review,” PERFORMA Media Ilm. Tek. Ind., vol. 16, no. 2, pp. 152–160, 2017, doi: 10.20961/performa.16.2.16994.
K.Karimzadeh, “Quantitative assessment of health, safety, and environment (HSE) resilience based on the Delphi method and analytic hierarchy process (AHP) in municipal solid waste management system: A case study in Tehran,” Environ. Heal. Eng. Manag., vol. 10, no. 3, pp. 237–247, 2023, doi: 10.34172/EHEM.2023.27.
D.Zhu, “Building a Three-Level User Experience (UX) Measurement Framework for Mobile Banking Applications in a Chinese Context: An Analytic Hierarchy Process (AHP) Analysis,” Multimodal Technol. Interact., vol. 6, no. 9, 2022, doi: 10.3390/mti6090083.
E.Mahrifah et al., “Sistem Pendukung Keputusan Pemilihan Tas Menggunakan Metode (Analytical Herarchy Proces) AHP,” JAMASTIKA, vol. 3, 2024, doi: 10.36378/jtos.v4i.
S.Srebrenkoska, A.Apostolova, M.Dzidrov, andD.Krstev, “Application of Analytical Hierarchy Process (AHP) in the Selection of a Flexible Production System,” Eng. World, vol. 5, pp. 138–143, Nov.2023, doi: 10.37394/232025.2023.5.15.
Nazaruddin, A. A.Purba, M. L.Hamzah, andM.Rizki, “Decision Making for Optimal Marketing Strategy: A Case Study in E-Commerce,” in 2022 International Conference on Data Analytics for Business and Industry, ICDABI 2022, 2022. doi: 10.1109/ICDABI56818.2022.10041576.
A.Rinaldi, N.Rahmadani, P.Papilo, S.Silvia, andM.Rizki, “Analisa Pengambilan Keputusan Pemilihan Bahan Dalam Pembuatan Kemeja Menggunakan Metode TOPSIS,” SITEKIN J. Sains, Teknol. dan Ind., vol. 18, no. 2, pp. 163–172, 2021, Accessed: Jun.05, 2022. [Online]. Available: http://ejournal.uin-suska.ac.id/index.php/sitekin/article/view/12862
A. N.Haddad, “Application of fuzzy-topsis method in supporting supplier selection with focus on hse criteria: A case study in the oil and gas industry,” Infrastructures, vol. 6, no. 8, 2021, doi: 10.3390/infrastructures6080105.
A. A.Puji andF. A.Yul, “HOR Model & AHP-TOPSIS untuk Pengelolaan Risiko Rantai Pasok Darah,” J. Tek. Ind. J. Has. Penelit. dan Karya Ilm. dalam Bid. Tek. Ind., vol. 7, no. 1, pp. 15–18, 2021.
A.Budiman andB. B.Ariapramuda, “Analisis klasifikasi persediaan material general R6GM menggunakan pendekatan Music-3D,” 2020.
P.Gopalakrishnan andA. K.Banerji, Maintenance and spare parts management. PHI Learning Pvt. Ltd., 2013.
T. L.Saaty, “Decision making with the Analytic Hierarchy Process,” Sci. Iran., vol. 9, no. 3, pp. 215–229, 2002, doi: 10.1504/ijssci.2008.017590.
A.Susanty, “Integrasi AHP-TOPSIS Pada Kraljic Portofolio Matrix Dalam Penentuan Strategi Pembelian,” 2016.
A. S.Palde andP. A. G.Shelake, “Comparative Analysis of HML, VED and FSN in Material Management in Residential Project,” J. Univ. Shanghai Sci. Technol., vol. 22, no. 10, pp. 247–252, 2020.
M.KOKOÇ andS.ERSÖZ, “Comparison of AHP-TOPSIS and AHP-VIKOR Methods in Product Selection in terms of Inventory Management,” Uluslararası Muhendis. Arastirma ve Gelistirme Derg., pp. 163–172, 2019, doi: 10.29137/umagd.391359.
E.Wirdianto, A.Rahman, andM.Milana, “MUSIC-3D Approach and Kraljic’s Purchasing Portfolio Model in Determining PT Semen Padang’s Spare Parts Procurement Strategy,” Motiv. J. Mech. Electr. Ind. Eng., vol. 6, no. 2, pp. 155–166, 2024, doi: 10.46574/motivection.v6i2.326.
Y. N.Rohmatin, “Analisis Strategi Pengendalian Persediaan Material Fabrikasi Menggunakan Pendekatan Ahp, Music-3d Dan Min-Max Stock Pada Pt. Bangun Teknik Baja.” Institut Teknologi Kalimantan, 2024.
D. L.Olson, “Comparison of weights in TOPSIS models,” Math. Comput. Model., vol. 40, no. 7–8, pp. 721–727, 2004, doi: 10.1016/j.mcm.2004.10.003.
D.Janari, M. M.Rahman, andA. R.Anugerah, “Analisis Pengendalian Persediaan Menggunakan Pendekatan MUSIC 3D (Multi Unit Spares Inventory-Three Dimensional Approach) pada Warehouse di PT Semen Indonesia (PERSERO) TBK Pabrik Tuban,” Jur. Tek. Ind., vol. 22, no. 4, pp. 261–268, 2016.
J.Heizer andB.Render, “Manajemen operasi,” Ed. Ketujuh Buku, vol. 1, 2010.
G.Houge, “Stepwise ABC system for classification of any type of genetic variant,” Eur. J. Hum. Genet., vol. 30, no. 2, pp. 150–159, 2022, doi: 10.1038/s41431-021-00903-z.
A.Lefteh, “Optimization of Modified Adaptive Neuro-Fuzzy Inference System (MANFIS) with Artificial Bee Colony (ABC) Algorithm for Classification of Bone Cancer,” 2022 2nd International Conference on Distributed Computing and High Performance Computing, DCHPC 2022. pp. 78–81, 2022. doi: 10.1109/DCHPC55044.2022.9731840.
J.Gong, “Determination of key components in automobile braking systems based on ABC classification and FMECA,” J. Traffic Transp. Eng. (English Ed., vol. 9, no. 1, pp. 69–77, 2022, doi: 10.1016/j.jtte.2019.01.008.
Y. C.Hsu, “ABC-Norm Regularization for Fine-Grained and Long-Tailed Image Classification,” IEEE Trans. Image Process., vol. 32, pp. 3885–3896, 2023, doi: 10.1109/TIP.2023.3273455.
R.Krittayaphong, “Clinical phenotype classification to predict risk and optimize the management of patients with atrial fibrillation using the Atrial Fibrillation Better Care (ABC) pathway: a report from the COOL-AF registry,” QJM An Int. J. Med., vol. 117, no. 1, pp. 16–23, 2024, doi: 10.1093/qjmed/hcad219.
H. K.Dreiner, “The ABC of RPV: classification of R-parity violating signatures at the LHC for small couplings,” J. High Energy Phys., vol. 2023, no. 7, 2023, doi: 10.1007/JHEP07(2023)215.
DOI: http://dx.doi.org/10.24014/jti.v11i1.36786
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