Spare parts for fisheries surveillance vessels inventory management in Ministry of Marine Affairs and Fisheries

Authors

  • Ema Velayati SSTIA LAN Jakarta, Central Jakarta, Jakarta
  • R Luki Karunia SSTIA LAN Jakarta, Central Jakarta, Jakarta
  • Edy Sutrisno SSTIA LAN Jakarta, Central Jakarta, Jakarta

DOI:

https://doi.org/10.55324/ijoms.v3i8.893

Keywords:

spare parts inventory management, economic order quantity method, ABC classification

Abstract

This study aims to identify problems and formulate a model for managing spare parts inventory of fisheries supervisory vessels in the Directorate of Fleet Monitoring and Operations, Ministry of Marine Affairs and Fisheries to be optimal. The research method is carried out using a qualitative approach. Data collection is done by interviews, field observations and analysis of data and documents. Water inventory management theory (2003) is a theory used to determine the cycle or process of managing spare parts inventory and the  Economic Order Quantity (EOQ) method of Horngren (2016) to determine the optimum order quantity and Analysis of ABC Chin (2017) in Putra (2020 to classify inventory into 3 (three) classes, namely A (very important items), B (items that are quite important),  and C (relatively unimportant). This study concluded that the management of spare parts in the POA Directorate has not been optimal due to several factors, namely: 1). Human Resources: operators do not have inventory background, and inventory recording with the SAKTI application requires operator involvement, 2). Method: procurement of spare parts is carried out periodically only once a year, so it cannot anticipate changes in needs, and 3), Machinery (Tools):  Parts inventory is still done manually with Ms. Excel. Researchers develop a business process model that includes procurement, inventory, storage, delivery, and use of spare parts to improve the efficiency of parts inventory management.

References

Adeyemi, S. L., & Salami, A. O. (2010). Inventory management: A tool of optimizing resources in a manufacturing industry a case study of Coca-Cola Bottling Company, Ilorin plant. Journal of social Sciences, 23(2), 135-142.

Al-Bawi, A. (2015). Spare parts management potential in production sector (Dissertation). Retrieved from https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-28820

Ardiansyah, Naufal . (2018). Thesis Analisa EOQ Dan SS Pada Industri Spare Part Khususnya Anoda Dengan Simulasi Monte Carlo. Surabaya : Institut Teknologi Sepuluh November.

Arifin P Soeria Atmadja, Kapita Selekta Keuangan Negara, Untar, Jakarta, 1996.

Armstrong D J (1985) Sharpening Inventory Management. Harvard Business Review 63:42-& Badinelli R D (1986) Optimal Safety-Stock Investment Through Subjective Evaluation of Stockout Costs. Decision Sciences 17:312-328

Badinelli, R. D. (1986). Optimal safety?stock investment through subjective evaluation of stockout costs. Decision Sciences, 17(3), 312-328.

Baihaqi, Habiel M. (2019). Analisis Pengendalian Persediaan Material Suku Cadang Standar pada Pesawat Nc 212i dengan Metode EOQ. Semarang: Universitas Diponegoro.

Cavalieri, S., Garetti, M., Macchi, M., & Pinto, R. (2008). A decision-making framework for managing maintenance spare parts. Production planning & control, 19(4), 379-396.

Chan, Shiau Wei. (2017). Factors Influencing the Effectiveness of Inventory Management in Manufacturing SMEs. IOP Conf. Ser.: Mater. Sci. Eng. 226 012024.

Creswell JW (2007). Qualitative inquiry and research design: choosing among five approaches. 2nd ed. London: Sage Publications Ltd.

David, et al, 2020. pengurangan total inventory cost dengan pengendaliaan persediaan pada diler sepeda motor. Jurnal sistem Teknik Industro, Volume Vol. 22 No. 2, pp. 41-49.

Due, John F; Arief Janin; Iskandarsyah; Judono, S.B. (1968). Keuangan negara: perekonomian dari sektor pemerintah / oleh John F. Due ; diterjemahkan oleh Iskandarsyah, Arief Janin, diperiksa dan disempurnakan oleh S.B. Joedono. Jakarta:: Yayasan Penerbitan Universitas Indonesia,.

Eckert,S.G.(2007).Inventory management and its effects on customer satisfaction. Journal of Business and Public Policy, (1), 1-2

Fajrin, Moch Teguh. (2018). Pengurangan Defect Pada Produk Sepatu Dengan Mengintegrasikan Statistical Process Control (Spc) Dan Root Cause Analysis (RCA) Studi Kasus PT. XYZ. Spektrum Industri, 2018, Vol. 16, No. 1, 1 – 110

Fahmi, Irham. (2016). Manajemen produksi dan operasi. Bandung: Alfabeta

Hagmark, P. E., & Pernu, H. (2006). Risk evaluation of a spare part stock by stochastic simulation, Safety and reliability for managing risk. Eds CG Soares, E. Zio.

Hakim, Lucqman Satrio. 2017. Perencanaan Persediaan Spare Part Consumable Mesincfm56-3 Dengan Klasifikasi Abc-Fns dan EOQ Probabilistik. Malang: Universitas Brawijaya.

Heizer, J., Render, B., & Munson, C. (2017). Operations management: sustainability and supply chain management, 12/e. Harlow: Pearson Education.

Herawan, Chandra. (2013). Penerapan Metode Economic Order Quantity dalam Mewujudkan Efisiensi Biaya Persediaan. Jurnal Ilmiah Akuntansi Kesatuan

Hood, C. (1991). A public management for all seasons?. Public administration, 69(1), 3-19.

Idayanti, Herlina Tri. (2017). Faktor-faktor Penyebab Terjadinya Selisih Stok Barang (Sparepart) di Sistem Komputer dengan Gudang Workshop pada PT Astra International Tbk- Honda Cabang Yogyakarta. Yogyakarta: Universitas Gajah Mada.

Indrajit, R. E., & Djokopranoto, R. (2003). manajemen Persediaan. Jakarta: PT Gramedia Widiasarana Indonesia.

Jayakumaran, Shamani. (2020). ABC Analysis: A Qualitative Case Study on Inventory Management in Giant Superstore Taman Connaught, An Outlet Of GCH Retail (Malaysia) SDN. BHD. IOP Conf. Ser.: Mater. Sci. Eng. 780 072016

Jingjiang, Gao. (2012). A Classification Model for Inventory Management of Spare Parts and Its Application. International Conference on Industrial Design Engineering - ICIDE 2017, pp.100, 2017

Jay, H., & Render, B. (2015). Manajemen Operasi: Manajemen Keberlangsungan dan Rantai Pasokan.

Kieso, D. E., Weygandt, J. J., & Warfield, T. D. (2018). Intermediate Accounting: IFRS Edition. John Wiley & Sons Inc.

Knod, E. M., & Schonberger, R. (2001). Operations management: Meeting customers' demands. (No Title).

Lengu, D., Syntetos, A. A., & Babai, M. Z. (2014). Spare parts management: Linking distributional assumptions to demand classification. European Journal of Operational Research, 235(3), 624-635.

MILES, M. B., & HUBERMAN, A. M. (1984). Drawing Valid Meaning from Qualitative Data: Toward a Shared Craft. Educational Researcher, 13(5), 20-30. https://doi.org/10.3102/0013189X013005020

Martono, R. V. (2018). Studi Kasus Penerapan Vendor Managed Inventory Pada Sistem Rantai Pasok. Jurnal Manajemen Industri Dan Logistik, 2(1), 28-39.

Manohar, H. M., & Appaiah, S. (2017). Stabilization of FIFO system and Inventory Management. International Research Journal of Engineering and Technology, 4(6), 5631-5638.

Moleong, L. (2010). Metode peneltian. Jakarta: Rineka Cipta.

Pakpahan, Sopian. (2022). Thesis Analisa EOQ dan SS Pada Industri Spare Part Khususnya Anoda Dengan Simulasi Monte Carlo. Jurnal Comasie - VOL. 07 NO. 07 (2022)

Patricia M. Williams (2001) Techniques for Root Cause Analysis, Baylor University Medical Center Proceedings, 14:2, 154-157, DOI: 10.1080/08998280.2001.11927753

Peraturan Dirjen Perbendaharaan Nomor 40 Tahun 2006 tentang Akuntansi Persediaan

Peraturan LKPP Nomor 12 Tahun 2021 tentang Lembaga Kebijakan Pengadaan Barang/Jasa

Peraturan Pemerintah (PP) Nomor 71 Tahun 2010 tentang Standar Akuntansi Pemerintahan

Putra, Bayu Pratama. (2020). Manajemen Persediaan Suku Cadang pada Perusahaan Semen di Indonesia dengan Mempertimbangkan Kompleksitas Kepentingan antara Pemeliharaan, Pengadaan Barang dan Persediaan. Surabaya: Institut Teknologi Sepuluh November.

Rahmatullah, Gusti. (2020). Perencanaan Persediaan Suku Cadang dengan Metode Economic Order Quantity (EOQ) Single Order Multiple Product di PT. ABCD. Journal of Industrial Engineering, Scientific Journal on Research and Application of Industrial System, Vol. 5, No.1, April 2020: 48-60

Regattieri, A., Gamberi, M., Gamberini, R., & Manzini, R. (2005). Managing lumpy demand for aircraft spare parts. Journal of Air Transport Management, 11(6), 426-431.

Siti Kurnia Rahayu, Perpajakan Indonesia – Konsep dan Aspek Formal, Graha Ilmu, Yogyakarta, 2010.

Sugiyono, D. (2013). Metode penelitian pendidikan pendekatan kuantitatif, kualitatif dan R&D.

Sujarweni, W. (2014). Metodologi penelitian: Lengkap, praktis, dan mudah dipahami.

Surat Edaran Sekretaris Jenderal Kementerian Kelautan dan Perikanan Nomor B. 1550/SJ/PL.930/XII/2018 tahun 2018 tentang Penatausahaan Barang Milik Negara berupa Persediaan

Syntetos, A., Boylan, J. & Croston, J., (2005). On the categorization of demand patterns. Journal of the Operational Research Society, 56(5), pp.495–503

Teunter, R. H., Babai, M. Z., & Syntetos, A. A. (2010). ABC classification: service levels and inventory costs. Production and Operations Management, 19(3), 343-352.

Tjandra, W. R. (2009). Fungsi Peradilan Tata Usaha Negara Dalam Mendorong Terwujudnya Pemerintah Yang Bersih Dan Berwibawa (Clean and Strong Goverment) (Doctoral dissertation, UAJY).

Van Horenbeek, A., Pintelon, L., & Muchiri, P. (2010). Maintenance optimization models and criteria. International Journal of System Assurance Engineering and Management, 1, 189-200.

Verma, R. K. et. al. 2020. Comparative Evaluation of Economic Order Quantity and Modeling Technique for Inventory Control – A Case Study. India: Gautam Buddha University. Gedrag & Organisatie Review's journal, 33(2), 2095-2106.

Vijayan, T., & Kumaran, M. (2009). Fuzzy economic order time models with random demand. International journal of approximate reasoning, 50(3), 529-540.

Waters, D., John Wiley. (2003). Inventory Control and Management

Willemain, T. R., Smart, C. N., & Schwarz, H. F. (2004). A new approach to forecasting intermittent demand for service parts inventories. International Journal of forecasting, 20(3), 375-387.

Zipkin, P. (2008). Old and new methods for lost-sales inventory systems. Operations research, 56(5), 1256-1263.

Downloads

Published

2024-05-30