Pemodelan Permasalahan Integrasi Produksi-Persediaan-Distribusi-Persediaan Untuk Multi Periode Multi Produk Dan Multi Pabrik

Garside, Annisa Kesy (2007) Pemodelan Permasalahan Integrasi Produksi-Persediaan-Distribusi-Persediaan Untuk Multi Periode Multi Produk Dan Multi Pabrik. Masters thesis, Institut Teknologi Sepuluh November.

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Abstract

Tuntutan untuk mengurangi biaya-biaya dan persediaan sepanjang supply chain menyebabkan pengambilan keputusan yang lebih terintegrasi di antara fungsi produksi dan distribusi menjadi sangat penting. Penelitian ini bertujuan untuk mengembangkan model simultan untuk menyelesaikan problem integrasi produksi-persediaan-distribusi-persediaan untuk multi produk yang dipenuhi dari multi pabrik dengan horizon perencanaan multi periode dan pengiriman produk dilakukan secara langsung ke Distribution Center (DC). Model diformulasikan sebagai Mixed Integer Programming (MIP) dengan fungsi tujuan meminimalkan total biaya yang meliputi biaya produksi tetap dan variabel, biaya persediaan di pabrik dan DC, serta biaya pengiriman secara reguler dan overtime. Sedangkan pembatas yang dipertimbangkan adalah (1) kapasitas waktu produksi di masing-masing pabrik, (2) kapasitas produksi maksimum di masing-masing pabrik, (3) keseimbangan persediaan di pabrik dan DC, (4) minimum persediaan di akhir periode untuk masing-masing produk di pabrik dan DC, (5) kapasitas tempat penyimpanan di pabrik dan DC, (6) kapasitas angkut tiap kendaraan, dan (7) kapasitas waktu yang dimiliki kendaraan. Model simultan selanjutnya dibandingkan dengan model decoupled untuk mengetahui seberapa besar nilai suatu koordinasi dan pengambilan keputusan secara terintegrasi. Model decoupled dikembangkan dalam dua submodel terpisah, yaitu submodel FPROD dan FDIST, dan diformulasikan sebagai problem MIP. Dengan membandingkan total biaya yang diperoleh kedua model pada dua puluh empat problem dengan skenario produksi A dan B, menunjukkan bahwa performansi model simultan lebih baik dibandingkan model decoupled dengan rentang nilai sebesar 14,16%–22,53% untuk skenario produksi A dan 15,92%–24,84% untuk skenario produksi B. Dari hasil analisis sensitivitas, parameter problem yang menyebabkan pengambilan keputusan secara simultan memberikan performansi yang lebih besar adalah bertambahnya jumlah produk, periode, dan DC.
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The necessity to reduce costs and inventory throughout the supply chain makes more integrated decision-making between production and distribution functions very important. The purpose of this research is to develop a simultaneous optimization model to solve the integrated production-inventory-distribution-inventory problem for multiple products supplied by multiple plants over a multi-period planning horizon, with products shipped directly to Distribution Centers (DCs). The model is formulated as Mixed Integer Programming (MIP), with an objective function that minimizes total costs, including fixed and variable production costs, inventory costs at plants and DCs, and regular and overtime delivery costs. The constraints considered are (1) production time capacity at each plant, (2) maximum production capacity at each plant, (3) inventory balance at plants and DCs, (4) minimum ending inventory for each product at plants and DCs, (5) storage capacity at plants and DCs, (6) transportation capacity of each vehicle, and (7) vehicle time capacity. The simultaneous optimization model is then compared with the decoupled model to determine the value of coordination and integrated decision-making. The decoupled model is divided into two separate submodels, namely FPROD and FDIST, which are formulated as MIP problems. By comparing the total costs obtained from both models for twenty-four problems under production scenarios A and B, the results show that the simultaneous model performs better than the decoupled model, with a range of 14.16%–22.53% for production scenario A and 15.92%–24.84% for production scenario B. Based on the sensitivity analysis, the problem parameters that lead to better performance through simultaneous decision-making are increases in the number of products, planning periods, and DCs.

Item Type:	Thesis (Masters)
Additional Information:	RTI 658.5 Gar p
Uncontrolled Keywords:	Koordinasi supply chain, integrasi produksi-persediaan-distribusipersediaan, Mixed Integer Programming, pengiriman langsung, pendekatan decoupled, Supply Chain coordination, integrated production-inventorydistribution-inventory problem, Mixed Integer Programming, direct shipment, decoupled approach.
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD38.5 Business logistics--Cost effectiveness. Supply chain management. ERP
Divisions:	Faculty of Industrial Technology > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User:	magang .
Date Deposited:	28 Sep 2026 08:18
Last Modified:	28 Sep 2026 08:18
URI:	http://repository.its.ac.id/id/eprint/144986

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