MILLED CASSAVA PRODUCTION CAPACITY MODEL THROUGH MACHINE EFFECTIVENESS ANALYSIS

Authors

  • Sesar Husen Santosa IPB University
  • Agung Prayudha Hidayat IPB University
  • Ridwan Siskandar IPB University
  • Annisa Rizkiriani IPB University

Keywords:

OEE, Regression

Abstract

The very high demand for the tapioca flour industry causes good quality and
quantity tapioca flour. This condition causes the tapioca flour SMIs have to
manage production activities to meet the needs of the industry. This causes
Tapioca SMEs to be able to maximize production so that the product can
compete in the market. The flour production process cannot be separated
from the cassava milling machine effectiveness. Based on the results of the
milling machine analysis for one year, the availability = 65,16%,
performance = 53.62%, Quality Rate = 89.60% and OEE = 31.88%. This
condition shows that there are machine performance problems in producing
cassava porridge products, namely only 53.2% of the raw materials are used
to make the product. Based on the OEE value and the amount of production,
the regression equation model is obtained, namely ground cassava (Kg) =
5155 + 11037 OEE with Determination value (R2) = 94,8 %. This
determination value 94,8% shows that there is a relationship between the
OEE value of the milling machine and the productivity of the ground cassava
produced. According to Seiichi Nakajima's standard ideal OEE, which is
85%, so that the ideal production capacity of ground cassava base on
regression model in SMIs is 14,536 kg/month. Based on these ideal
conditions, SMEs must be able to plan the right cassava raw material
suppliers to meet the production of 14,536 kg/month ground cassava.

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Published

2025-10-09