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All Journal Journal of Social Research Indonesian Journal of Innovation Multidisipliner Research
Ibnu Habib
Universitas Logistik dan Bisnis Internasional
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences

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A Facility Location Model With Partial Demand Satisfaction: Minimizing Total Cost In Logistics Networks Ibnu Habib; Anisa Aprilia; Ryry Rizky Asri
Journal of Social Research Vol. 5 No. 1 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i1.2901

Abstract

Facility location optimization plays a pivotal role across both public and private sectores, with critical application in telecommunication, urban planning, industrial layout, and most notably for logistics and supply chain management. The main objective of a Facility Location Problem (FLP) is to determine the optimal placement of a set of facilities (Regional Distribution Centers) within defined geographical space based on spatial distribution of customer demand points. This strategic decision directly influences operational efficiency, service levels, and overall system cost. In the model presented, key factors such as the proximity of facilities to demand nodes, the volume of products required, transportation expenses, and dissastisfaction cost (i.e., penalties for unmet demand) are explicitly incorporated into the optimization framework. The goal is not only to identify the best facility locations but also to decide which transportation links to activate and how much flow to allocate across them, therefore minimizing total system cost while satisfying demand requirements as effectively as possible. The computational results demonstrate crucial insight. Dissatisfaction costs are increased reflecting higher penalties for failing to meet costumer demand. The model responds by fully satisfying all destinations, even if it entails higher dissatisfaction expenditures and reducing the total cost.
Optimasi Sistem Distribusi Komoditas Perishable Berbasis Discrete-Event Simulation Untuk Mengurangi Product Waste: Studi Kasus Agroindustri Stroberi Ciwidey Ibnu Habib; Adang Haryaman; Widia Asih
Indonesian Journal of Innovation Multidisipliner Research Vol. 4 No. 3 (2026): Juli - September
Publisher : Institute of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijim.v4i3.1724

Abstract

Stroberi merupakan komoditas hortikultura yang bersifat perishable sehingga memerlukan sistem distribusi yang efisien, namun jaringan distribusi di Kebun Stroberi Pak Asep Ciwidey masih belum optimal sehingga menyebabkan tingginya waktu pengiriman dan menurunkan efisiensi logistik serta kualitas produk. Penelitian ini bertujuan mengoptimalkan sistem distribusi stroberi di Kebun Stroberi Pak Asep Ciwidey melalui pemodelan jaringan distribusi berbasis Discrete-Event Simulation menggunakan AnyLogistix. Penelitian menggunakan pendekatan kuantitatif dengan metode pemodelan dan simulasi, memanfaatkan data primer yang diperoleh melalui observasi lapangan dan wawancara, serta data sekunder dari literatur dan dokumen pendukung. Analisis dilakukan dengan membandingkan kinerja jaringan distribusi pada kondisi awal dan skenario perbaikan melalui penambahan Distribution Center (DC) serta peningkatan kapasitas kendaraan. Hasil simulasi menunjukkan bahwa skenario perbaikan meningkatkan profit dari −USD 6.330,29 menjadi USD 21.453,92 dan menurunkan mean lead time dari 99,84 hari menjadi 71,27 hari, meskipun total biaya operasional meningkat. Temuan tersebut mengindikasikan bahwa penerapan jaringan distribusi multi-echelon berbasis DC mampu meningkatkan efisiensi logistik, mempercepat distribusi, dan memperbaiki kinerja ekonomi sistem. Dengan demikian, pendekatan simulasi menggunakan AnyLogistix efektif sebagai dasar pengambilan keputusan dalam optimasi jaringan distribusi komoditas hortikultura yang mudah rusak.
Co-Authors Adang Haryaman Anisa Aprilia Ryry Rizky Asri Widia Asih