Finayanti, Fisca Almas (2025) Optimasi Perencanaan Pengadaan Multi Bahan Baku dan Produksi Menggunakan Metode Improved Grey Wolf Optimizer (IGWO) (Studi Kasus: PT Wadah Pangan Makmur). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Seiring dengan perkembangan teknologi dan tingginya permintaan konsumen, persaingan di industri manufaktur makanan semakin ketat, sehingga diperlukan upaya untuk mempertahankan daya saing melalui optimalisasi efisiensi dari berbagai aspek, termasuk pengendalian persediaan. Pengendalian persediaan merupakan salah satu faktor utama yang menjadi tantangan dalam proses produksi suatu perusahaan, terutama dalam tahap pengadaan multi bahan baku. Permasalahan ini dapat diatasi dengan menggunakan model Integrated Procurement Production (IPP), model ini mencakup mulai dari aliran bahan baku hingga produk jadi yang akan didistribusikan ke konsumen yang bertujuan untuk memaksimalkan keuntungan dengan cara meminimalkan biaya pengadaan multi bahan baku dan biaya produksi. Model IPP tersebut diselesaikan menggunakan 3 metode, yaitu Mixed Integer Linear Programing (MILP), Grey Wolf Optimizer (GWO) dan Improved Grey Wolf Optimizer (IGWO). Data yang digunakan dalam penelitian ini diperoleh dari PT Wadah Pangan Makmur sebagai objek studi kasus mulai dari Agustus 2024 sampai Januari 2025. Mencakup data produksi, permintaan bahan baku, biaya bahan baku, biaya transportasi, biaya pengolahan, biaya penyimpanan, frekuensi pengiriman produk jadi, dan harga jual. Hasil penelitian menunjukkan bahwa, metode MILP menghasilkan nilai optimal sebesar Rp2.309.445.794, 00, sedangkan metode GWO dan IGWO menghasilkan nilai optimal yang sama sebesar yaitu Rp2.283.326.109, 70 yang mana biaya ini merupakan biaya pengadaan multi bahan baku dan biaya sistem produksi. Terkait kriteria pemberhentian, hasil dari penerapan 3 kriteria pemberhentian (N-rule, Cauchy, dan Kombinasi) menghasilkan nilai fungsi objektif yang berbeda, namun tidak signifikan.
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Along with the development of technology and the increasing demand from consumers, competition in the food manufacturing industry has become more intense, it is necessary to maintain competitiveness through the optimization of efficiency across various aspects, including inventory control. Inventory control is one of the key factors that presents a challenge in a company’s production process, especially during the multi-raw material procurement stage. This issue can be addressed by using the Integrated Procurement Production (IPP) model, which covers the entire process from raw material flow to finished products distributed to consumers. The objective of this model is to maximize profits by minimizing multi-raw material procurement costs and production costs. The IPP model was solved using three methods, Mixed Integer Linear Programming (MILP), Grey Wolf Optimizer (GWO), and Improved Grey Wolf Optimizer (IGWO). The data used in this study were obtained from PT Wadah Pangan Makmur as a case study, covering the period from August 2024 to January 2025. The dataset includes production, raw material demand, raw material costs, transportation costs, processing costs, storage costs, frequency of finished product delivery, and selling prices. The results of the study show that the MILP method produced an optimal cost of 2.309.445.794, 00 IDR, while both GWO and IGWO methods yielded the same optimal total cost of 2.283.326.109, 70 IDR, which represents the combined cost of multi-raw material procurement and the production system. Regarding stopping criteria, the application of three types (N-rule, Cauchy, and a combination of both) resulted in slightly different objective function values, but the differences were not significant.
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