Smart Production Planning Model for T-Shirt Products at Raensa Convection

Abstract

The increasing stock condition of cotton combed 30s t-shirts causes Convection to require optimal production planning, influenced by demand, safety stock, and selling price. The analysis of forecasting demand for t-shirts obtained a need for 217 t-shirts using the Multiplicative Decomposition forecasting method with MAD = 22.47 and MAPE = 0.17. Based on demand data for 1 year, the Safety Stock that must be maintained is 126 shirts/month or 3 shirts/week. The optimal production defuzzification results are 369 t-shirts with 81 fuzzy rules used. The Master Production Planning (MPS) directs the production schedule to be carried out in January, scheduled for the 4th week of December the previous year, as many as 123 shirts and ended on the third Sunday in January as many as 92 shirts to maintain stock conditions and meet the demand of consumer.

Implementing a Mineral Water Gallon Counter Device Based on a Website Using Infrared Sensors

“…Demand uncertainty can affect consumer expectations of product purchases and production processe. (Santosa et al, 2023). To address the issues discussed earlier, one potential solution is to develop an automation system.…”

Evaluation of Supplier Performance Using The Fuzzy AHP Approach to The CV. X Bandung Kite Glass Business

“…Pelanggan yang cerdas saat ini membedakan produk berdasarkan kualitasnya, mendorong produsen untuk meningkatkan kualitas produk mereka dalam memilih pemasok yang tepat memainkan peran penting (Kayapinar Kaya & Aycin, 2021). Oleh karena itu, pemeriksaan tidak seharusnya hanya mengandalkan hasil pemeriksaan produk, tetapi juga mempertimbangkan proses secara keseluruhan, termasuk kualitas bahan baku yang disediakan oleh pemasok (Santosa et al, 2022).Dalam bisnis layang-layang, persaingan semakin ketat,dan produsen harus meningkatkan kualitas dan kinerjanya serta mengoptimalkan seluruh sumber daya yang ada.…”