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Development of Maritime Logistic Network Model of Indonesia Coking Coal Industry

Published:27 November 2022Publication History

ABSTRACT

Indonesia coking coal was actively started since 1990s while the production massively began since 2010. World steel demand is increasing in the recent years, contributing to the escalation of coking coal demand. This trend is an opportunity for Indonesia to increase coking coal production. The major challenge for the industry is the transportation, logistic, and distribution system. In the maritime aspect, mining owner has to ship the coal through 774 Km across Barito River in South Kalimantan, with limited barge capacity in 3.700 MT per barge. This created an un-optimal logistic cost due to the limitation of barge capacity, number of barges needed, limited sailable days and shallow river depth. This research attempts to formulate the optimal maritime logistic model to minimize the logistic cost and number of barges needed. A case study was conducted in PT. XYZ to formulate the model, which is one of the biggest coking coal company in Indonesia. This research found that the combination of two logistic model have to be used, hub and spoke and cross docking. By MILP calculation, cross docking model has biggest volume portion with 67% of annual shipment volume target, while the rest allocated to hub and spoke model. The location for hub and spoke facility is also been generated by factor rating based method, AHP.

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References

  1. Petroni Alberto. 2000. The Logistics of Industrial Location Decisions: An Application of the Analytic Hierarchy Process Methodology. Int. J. Logist. Res. Appl. 3, 3 (2000), 273–289. DOI:https://doi.org/10.1080/713682767Google ScholarGoogle ScholarCross RefCross Ref
  2. Uday M. Apte and S. Viswanathan. 2010. International Journal of Applications: A Leading Journal of Supply Chain Effective Cross Docking for Improving Distribution Efficiencies. Int. J. Logist. Res. Appl. A Lead. J. Supply Chain Manag. 3, 3 (2010), 291–302. Retrieved from http://dx.doi.org/10.1080/713682769Google ScholarGoogle ScholarCross RefCross Ref
  3. Merliani Avita. 2015. Perancangan Supply Chain Batubara Untuk Pembangkit Listrik Tenaga Uap Di Indonesia Dengan Mempertimbangkan Hub. Universitas Gadjah Mada.Google ScholarGoogle Scholar
  4. Gleb Belov, Natashia L. Boland, Martin W.P. Savelsbergh, and Peter J. Stuckey. 2020. Logistics optimization for a coal supply chain. J. Heuristics 26, 2 (2020), 269–300. DOI:https://doi.org/10.1007/s10732-019-09435-8Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Balaram Dey, Bipradas Bairagi, Bijan Sarkar, and Subir Kumar Sanyal. 2016. Warehouse location selection by fuzzy multi-criteria decision making methodologies based on subjective and objective criteria. Int. J. Manag. Sci. Eng. Manag. 11, 4 (2016), 262–278. DOI:https://doi.org/10.1080/17509653.2015.1086964Google ScholarGoogle Scholar
  6. Mike C. Friederich and Theo van Leeuwen. 2017. A review of the history of coal exploration, discovery and production in Indonesia: The interplay of legal framework, coal geology and exploration strategy. Int. J. Coal Geol. 178, (2017), 56–73. DOI:https://doi.org/10.1016/j.coal.2017.04.007Google ScholarGoogle Scholar
  7. Chairul Nas Hidartan. 2010. Cooking Coal di Kalimantan Tengah. In Masyarakat Geologi Ekonomi Indonesia. Retrieved from https://scholar.google.co.id/citations?user=he00Hj4AAAAJ&hl=enGoogle ScholarGoogle Scholar
  8. Chamnong Jungthirapanich and Colin O. Benjamin. 1995. A knowledge-based decision support system for locating a manufacturing facility. IIE Trans. (Institute Ind. Eng. 27, 6 (1995), 789–799. DOI:https://doi.org/10.1080/07408179508936796Google ScholarGoogle Scholar
  9. Sjafril Karana. 2019. Penentuan Model Jaringan Logistik Angkutan Batubara di Kawasan Timur Indonesia. War. Penelit. Perhub. 27, 6 (2019), 423. DOI:https://doi.org/10.25104/warlit.v27i6.857Google ScholarGoogle ScholarCross RefCross Ref
  10. Marta Matyjaszek, Krzysztof Wodarski, Alicja Krzemień, Carmen Escanciano García-Miranda, and Ana Suárez Sánchez. 2018. Coking coal mining investment: Boosting European Union's raw materials initiative. Resour. Policy 57, January (2018), 88–97. DOI:https://doi.org/10.1016/j.resourpol.2018.01.012Google ScholarGoogle Scholar
  11. PT. Habco Primatama. 2015. COAL LOGISTIC OUTBOUND.Google ScholarGoogle Scholar
  12. Jin Suo Qiao, Xi Fu Wang, Xi Sheng Shen, and Chao Zheng. 2013. Analysis on China's coal transportation network complexity. Appl. Mech. Mater. 373–375, (2013), 1670–1673. DOI:https://doi.org/10.4028/www.scientific.net/AMM.373-375.1670Google ScholarGoogle Scholar
  13. Weronika Raca. 2019. World Coal Map. Retrieved from https://www.coaltrans.com/insights/article/world-coal-map-2019Google ScholarGoogle Scholar
  14. Jean-Paul Rodrigue. 2016. The Geography of Transport Systems (4th ed.). Ruotledge, New York.Google ScholarGoogle Scholar
  15. Thomas L. Saaty. 1990. How to make a decision: The analytic hierarchy process. Eur. J. Oper. Res. 48, 1 (1990), 9–26. DOI:https://doi.org/10.1016/0377-2217(90)90057-IGoogle ScholarGoogle ScholarCross RefCross Ref
  16. Triswan Suseno. 2017. KECIL Analysis of Logistics Distribution Patterns and Coal Infrastructure for. J. Teknol. Miner. dan Batubara 13, (2017), 53–72. Retrieved from https://jurnal.tekmira.esdm.go.id/index.php/minerba/article/view/140/103Google ScholarGoogle Scholar
  17. 2019. Beberapa Produsen Batubara Merambah Bisnis Batubara Kokas Atau Coking Coal. Asosiasi Pertambangan Batubara Indonesia (APBI-ICMA). Retrieved from http://www.apbi-icma.org/news/1712/beberapa-produsen-batubara-merambah-bisnis-batubara-kokas-atau-coking-coalGoogle ScholarGoogle Scholar

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            cover image ACM Other conferences
            APCORISE '21: Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering
            May 2021
            672 pages
            ISBN:9781450390385
            DOI:10.1145/3468013

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            • Published: 27 November 2022

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