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Journal : Teknologika

A Dynamic System Model for Multi-Echelon Inventory Policy Optimization Considering Bullwhip Effect and Supply chain Disruptions in the Sport Footwear Industry oetomo, Dedy Setyo; Fajar Ramdhani, Rizky; Hermawan, Asep
Jurnal Teknologika Vol 15 No 1 (2025): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v15i1.447

Abstract

This research develops a dynamic system model to optimize inventory policies in multi-echelon supply chains within the sport footwear industry, addressing challenges from the bullwhip effect and supply chain disruptions. The sports footwear sector faces unique inventory management challenges due to complex demand patterns influenced by seasonality, fashion trends, and competitive dynamics. Our comprehensive system dynamics model captures the intricate relationships between four supply chain echelons: retailers, distributors, manufacturers, and raw material suppliers. The model integrates machine learning algorithms—specifically Long Short-Term Memory (LSTM) neural networks—for adaptive demand prediction and employs genetic algorithm optimization to determine optimal inventory parameters under various disruption scenarios. Using real-world data from a leading sports footwear manufacturer, we validated the model under normal operations and three distinct disruption scenarios: raw material shortages (45% reduction for 6 weeks), manufacturing capacity constraints (30% reduction for 8 weeks), and transportation disruptions (doubled lead times for 4 weeks). Results demonstrate that our proposed hybrid model reduces overall inventory costs by 18.7% compared to traditional policies while maintaining a 97.2% service level. The integration of machine learning for demand forecasting reduced prediction errors by 43.6% compared to conventional methods, directly mitigating the bullwhip effect by decreasing the order variability coefficient from 0.89 to 0.61 at the supplier level. Furthermore, the model enhanced supply chain resilience by reducing recovery time by 42% following major disruptions. This research contributes to the theoretical understanding of complex supply chain dynamics and practical applications for inventory management in volatile industries, offering a robust framework for decision-making under uncertainty.
PERENCANAAN DAN PENGENDALIAN PRODUKSI PUPUK NPK SUBSIDI DI PT. PUPUK KUJANG CIKAMPEK Hermawan, Asep; Abdurrohim Fatah; Imas Widowati
Jurnal Teknologika Vol 14 No 2 (2024): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v14i2.428

Abstract

PT. Pupuk Kujang Ciampek memproduksi salah satu pupuk yaitu NPK subsidi. Pupuk NPK terdiri dari beberapa bahan baku yakni UREA, KCL, DAP dan CLAY. Dalam memproduksi pupuk ini perusahaan menggunakan strategi make to stock untuk menjaga ketersediaan barang. Dalam pemenuhan kebutuhan yang fluktiatif terjadi ketidakseimbangan antara produksi pupuk NPK dengan penjualan ke konsumen. Hal ini dapat menimbulkan kerugian karena adanya biaya simpan yang ditanggung perusahaan. Untuk mengatasi hal ini dilakukan perencanaan ulang produksi dari dengan melihat pola data peramalan dengan metode holt’s exponential smoothing dan memperhitungkan kebutuhan bahan baku dengan tujuan pengoptimalan persediaan bahan baku dengan teknik penentuan lot sizing wagner within algorithm. Hasil dari peramalan yang dilakukan pada data prouduksi periode Oktober 2022 hingga September 2023 menunjukkan pola data berupa tren menurun. Kemudian hasil perhitungan perencanaan produksi di PT. Pupuk Kujang Cikampek pada produk pupuk NPK subsidi yaitu membutuhkan tenaga kerja 105 orang dan biaya sebesar Rp 43,551,179,421. Dengan diketahui hasil perencanaan produksi sebanyak 128.147 ton dan bahan baku yang diperlukan untuk produksi NPK subsidi periode Oktober 2023 - September 2024 yaitu Urea 26.646 ton, KCL 28.571 ton, DAP 26.261 ton, dan Clay 38.688 ton.
Co-Authors Abdillah, Yakub Abdurrohim Fatah Agus Sugiarto Al Asyary Albert, Jhoni Anasi, Raras Anidia, Tisna Antonio, Ferdi Ariesta Utha, Maria Ariestha Utha, Maria Aseanty, Deasy Ayu Aulia Oktaviani Bachtiar, Yusrial Berliyanti, Dita Oki Bukhari, Eri Cahya Tri Purnami Cecep Hidayat DASUKI DASUKI Dedi Hidayat Dewi, Adinda Herliani Dina Bisara Dina Setyawati Doni Lasut Entaresmen, R Ajeng Erpin Harahap Fadillah, Dila Putri Fajar P.D Farah Diba Fata, Afif Fawa Idul Fatah, Abdurrohim Fatik Rahayu Gihlard, Akhmad Raihan Ginting, Magdalena Lestari Haerudin, Yayan Heru Haina, Musafirah Harahap, Cicely Delfina Hidayat, M Fajri Ida Busnetty Imas Widowati Irsyadiyah, Al Iskandar, Hendi Kristina Kristina Kurniawati Kurniawati Kustiwan, Susan Lestari, Henny Setyo M Rokhis Khomarudin, M Rokhis Mardani, Elita Maria Holly Herawati Mihalay, Albert Mihály, Albert Mintawati, Hesri Muhammad Priyatna, Muhammad Nada, Muhammad Bisyri Noer Endah Pracoyo Noor Edi Widya Sukoco Nuari, Ris Ayu Nugraha, Septian Nur Haida Nurafifah, Nurafifah Nurcahyo, Marsanto Adi Nurfadhilah, Annisa Nuri Aslami Oetomo, Dedy Setyo Pratiwi, Kharisma Ika PUJIANTO, SURAHMAN Raflizar Raflizar Rahma, Wanda Rahmadina Ardelia Rahmi, Eneng ramdan, asep Rizky Fajar Ramdhani Roban, Roban Sarfilianty Anggiani, Sarfilianty Setyo Oetomo, Dedy Shodiq, Moh Djafar Sofyan, Hady Sudikno Sudikno Suhara, Ade Suniaman, Herman Supratikta, Hadi Suryadi Suryadi Suteja, Mentari Nur Farida Triana, Syarfina Roza Usman, Bachtia Uswatun Hasanah Vinneza, Shiva Wahyudi, Agustinus Sri Wijanarko, Faiq Raihan Wijanarko, Khansa Fara Winarto, Agus Tri Y. Agus Bagus Budi N Yeni Mariani Yennie Indriati Widyaningsih Yuana Jatu Nilawati Yudhaputri, Egabetha Amirah Yunita Kusumaningrum Zakiah, Fitri