ANALYSIS OF CONTINUOUS QUALITY IMPROVEMENT USING WASTE ASSESSMENT MODEL AND DEMING CYCLE METHOD (STUDY CASE: TAPIOCA STARCH MANUFACTURING)

Abstract

This study explains what waste occurs in the manufacturing industry, where there are
7 wastes, namely excess production, waiting time, unnecessary transportation,
excessive processes, excess inventory, unnecessary movements, and defective
products. As a result of this waste, the company has lost an output of 46 tons in 1
semester. The purpose of this research is to find out the critical waste and the source
of the waste that occurs in the manufacturing industry and then reduce the waste
using the waste assessment model and the deming cycle method. The method used
to identify waste is the waste assessment model. The waste assessment model
consists of 2 stages, namely the waste relationship matrix to determine the
relationship between waste and a waste assessment questionnaire to identify the
causes of waste. The results of this study obtained critical waste from 7 wastes,
namely defect waste with a percentage of 27.94% and the cause of the waste is the
frequency of machine breakdowns that occur in area 2 production. It can be
concluded that the critical waste in this research is defect waste that originates from
engine damage in the production area and within a quarter the waste has been
eliminated so that it can maximize the production process.