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

Sesar Husen Santosa(1*), Agung Prayudha Hidayat(2), Ridwan Siskandar(3), Khoirul Aziz Husyairi(4),

(1) IPB University
(2) IPB University
(3) IPB University
(4) IPB University
(*) Corresponding Author
DOI: https://doi.org/10.23917/jiti.v22i1.21398

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.

Keywords

Forecasting; Safety Stock; Defuzzification; Master Production Schedule

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