Optimization Model Of Green Cement Supply Chain Using Milp And Cap-And-Trade: IKN Case Study

Arzhanie, Akhmad Saladin Noufridhan (2025) Optimization Model Of Green Cement Supply Chain Using Milp And Cap-And-Trade: IKN Case Study. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

This study develops a Mixed-Integer Linear Programming (MILP) model to optimize the distribution of green cement for the Ibu Kota Nusantara (IKN) development. The model integrates economic and environmental considerations through a cap-and-trade mechanism, with three objectives: formulating the optimization model, identifying optimal distribution and facility allocation strategies, and evaluating sensitivity to key parameters. The model minimizes total distribution cost while ensuring demand fulfillment, capacity feasibility, and emission compliance. The optimization results show that PP Balikpapan serves as the primary hub due to significantly lower transport costs, leading to the activation of its silo expansion with an 83% utilization rate, whereas PP Samarinda functions as a secondary, product-specific hub with 28.5% utilization. CP Tonasa supplies around 70% of total demand, particularly for PowerPro and UltraPro, while CP Tuban focuses on EzzyPro shipments to Balikpapan. The optimized 2026 plan reduces total cost by 8.34% (≈Rp 77 billion) compared to 2025. Sensitivity analysis indicates that demand is the most influential parameter, followed by land and sea transport costs, while carbon pricing has minimal impact. Overall, the MILP model provides effective decision support for designing a cost-efficient and environmentally aligned cement distribution strategy for IKN.
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Penelitian ini mengembangkan model Mixed-Integer Linear Programming (MILP) untuk mengoptimalkan distribusi semen hijau dalam mendukung pembangunan Ibu Kota Nusantara (IKN). Model ini mengintegrasikan aspek ekonomi dan lingkungan melalui mekanisme cap-and-trade, dengan tiga tujuan utama: merumuskan model optimasi, mengidentifikasi pola distribusi dan alokasi fasilitas optimal, serta mengevaluasi sensitivitas terhadap parameter kunci. Model meminimalkan total biaya distribusi dengan tetap memenuhi permintaan, kapasitas fasilitas, dan batasan emisi. Hasil optimasi menunjukkan bahwa PP Balikpapan menjadi hub utama akibat biaya transportasi yang lebih rendah, sehingga variabel ekspansi silo Balikpapan aktif dengan tingkat utilisasi 83%. PP Samarinda berfungsi sebagai hub sekunder dengan utilisasi 28,5%. CP Tonasa memasok sekitar 70% total volume, terutama PowerPro dan UltraPro, sedangkan CP Tuban fokus memasok EzzyPro melalui Balikpapan. Rencana distribusi tahun 2026 menghasilkan penghematan biaya 8,34% (≈Rp 77 miliar) dibandingkan realisasi 2025. Analisis sensitivitas menunjukkan bahwa permintaan adalah parameter paling berpengaruh, disusul biaya transportasi darat dan laut, sementara harga karbon memiliki dampak minimal. Model MILP ini terbukti efektif sebagai alat pendukung keputusan untuk merancang strategi distribusi semen hijau yang efisien dan berkelanjutan menuju IKN.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Green Cement Distribution, MILP, Optimization, IKN (Ibu Kota Nusantara), Cap-and-trade, Logistics Planning, Sensitivity Analysis.
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD38.5 Business logistics--Cost effectiveness. Supply chain management. ERP Q Science > QA Mathematics > QA401 Mathematical models.
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Akhmad Saladin Noufridhan Arzhanie
Date Deposited:	15 Jan 2026 04:35
Last Modified:	15 Jan 2026 04:35
URI:	http://repository.its.ac.id/id/eprint/129635

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