Optimasi Perencanaan Tingkat Produksi Menggunakan Fuzzy Goal Programming

Abstract

Perencanaan produksi merupakan kegiatan penting untuk menjaga keseimbangan antara permintaan dan ketersediaan produk. Pada unit usaha parfum yang diteliti, perencanaan produksi masih dilakukan secara manual sehingga berpotensi menyebabkan ketidaksesuaian antara jumlah produksi, penggunaan anggaran, dan ketersediaan persediaan. Penelitian ini bertujuan memodelkan dan menyelesaikan permasalahan perencanaan produksi menggunakan fuzzy goal programming (FGP). Parameter permintaan diperoleh melalui proses peramalan menggunakan metode Random Forest berdasarkan data historis penjualan tahun 2025. Hasil peramalan digunakan sebagai parameter dalam model FGP yang mempertimbangkan sasaran memaksimumkan profit, mengendalikan penggunaan anggaran, dan mempertahankan safety stock. Model diselesaikan menggunakan bantuan perangkat lunak Python. Hasil implementasi menunjukkan bahwa model FGP mampu menghasilkan rencana produksi yang memenuhi sasaran unit usaha tanpa menimbulkan inventori negatif yang berpotensi menyebabkan stockout.

Production planning is essential for maintaining a balance between product demand and availability. In the perfume business unit studied, production planning is still conducted manually, which may lead to mismatches between production quantity, budget utilization, and inventory availability. This study aims to model and solve a production planning problem using the fuzzy goal programming (FGP) method. Demand parameters were obtained through a forecasting process using the Random Forest method based on historical sales data from 2025. The forecasting results were used as input parameters in the FGP model, which considers the objectives of maximizing profit, controlling budget utilization, and maintaining safety stock levels. The model was solved using Python software. The implementation results show that the FGP model is capable of generating a production plan that satisfies the company's objectives without creating negative inventory levels that could potentially lead to stockouts.