Analisis Perbandingan Fuzzy Logic dan Milp pada Demand Driven Material Resource Planning di Perusahaan Makanan Cepat Saji

Alfaruqi, Muhammad Fadhil (2026) Analisis Perbandingan Fuzzy Logic dan Milp pada Demand Driven Material Resource Planning di Perusahaan Makanan Cepat Saji. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Efisiensi dan efektifitas rantai pasok merupakan salah satu aspek yang kerap dikaitkan dengan peningkatan keunggulan kompetitif bagi perusahaan, terlebih lagi dengan kondisi industri yang memiliki karakter volatilitas, tidak pasti, kompleks, dan ambigu seperti saat ini. Salah satu bagian dari rantai pasok tersebut adalah kemampuan perusahaan dalam mengatur produksi dan persediaannya. Guna mencapai efisiensi dan efektifitas pada bagian ini, perusahaan memerlukan alat perencanaan produksi yang mampu meningkatkan akurasi perencanaan dan efisiensi persediaan. Salah satu alat yang dapat digunakan adalah Demand Driven Material Requirements Planning (DDMRP) yang merupakan pengembangan dari Material Requirements Planning (MRP). Pada mulanya, DDMRP dinilai sudah cukup efisien, tetapi seiring berjalannya waktu, kekurangan DDMRP yang menggunakan nilai deterministik untuk variabel probabilistik semakin terasa. Alhasil, perusahaan perlu mengintegrasikan metode lain untuk membuat DDMRP dapat berjalan dengan lebih akurat. Dua pendekatan yang dapat digunakan adalah Fuzzy Logic dan Mixed Integer Linear Programming (MILP). Setelah dilakukan perhitungan dan perbandingan, setiap metode memberikan keunggulannya masing-masing. MILP DDMRP mampu memberikan buffer yang lebih efisien dari sisi rata-rata persediaan. Di sisi lain, Fuzzy DDMRP mampu memberikan buffer yang lebih adaptif dan efektif untuk persediaan perusahaan.
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Supply chain efficiency and effectiveness are aspects that are often associated with increasing competitive advantages for companies, especially in today's volatile, uncertain, complex, and ambiguous industrial conditions. One part of the supply chain is a company's ability to manage its production and inventory. To achieve efficiency and effectiveness in this area, companies need production planning tools that can improve planning accuracy and inventory efficiency. One tool that can be used is Demand Driven Material Requirements Planning (DDMRP), which is an extension of Material Requirements Planning (MRP). Initially, DDMRP was considered sufficiently efficient, but over time, the shortcomings of DDMRP, which uses deterministic values for probabilistic variables, became increasingly apparent. As a result, companies need to integrate other methods to make DDMRP run more accurately. Two approaches that can be used are Fuzzy Logic and Mixed Integer Linear Programming (MILP). After calculations and comparisons were made, each method demonstrated its own advantages. MILP DDMRP was able to provide a more efficient buffer in terms of average inventory. On the other hand, Fuzzy DDMRP was able to provide a more adaptive and effective buffer for the company's inventory.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Material Requirements Planning, Demand Driven Material Requirements Planning, Fuzzy Logic, Mixed Integer Linear Programming, Material Requirements Planning, Demand Driven Material Requirements Planning, Fuzzy Logic, Mixed Integer Linear Programming
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 > 26201-(S1) Undergraduate Thesis
Depositing User:	Muhammad Fadhil Alfaruqi
Date Deposited:	04 Feb 2026 02:15
Last Modified:	04 Feb 2026 02:15
URI:	http://repository.its.ac.id/id/eprint/131993

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