Open AccessProduct Quality Improvement by Using the Waste Assessment Model and Kipling Method
Author(s) -
Julian Robecca,
I Made Aryantha Anthara,
Monalisa Silaban,
Maureena Ronahot Situmorang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/879/1/012172
Subject(s) - weighting , production (economics) , process (computing) , product (mathematics) , quality (philosophy) , cleaner production , computer science , advice (programming) , operator (biology) , waste management , process engineering , operations research , engineering , mathematics , municipal solid waste , economics , philosophy , repressor , macroeconomics , chemistry , operating system , biochemistry , geometry , epistemology , transcription factor , radiology , medicine , gene , programming language
This study aims to identify waste, calculate the value of waste that occurs and provide suggestions for improvement to reduce waste. VSM describes the production flow and waste information that occurs, while WAM is the method used to calculate the waste assessment. Proposed improvements to reduce waste that has occurred using the Kipling Method. There are 6 types of waste that occurs. Waste assessment results that have been sorted in the production process are defect, motion, overproduction, transportation, waiting and process. This sequence is based on the largest weight to the smallest weight. For improvement proposals are prioritized for the type of waste with the highest rating weighting, namely defects. This shows that the defect is the type of waste that most influences the production process, making it easier to explore the cause of the problem and the advice that will be given to reduce the defects that occur. The company should make a visual form of the defect category so that the implementation of the recommendations for improvement can be applied and the operator can find out the true form of disability. It is expected that the proposed improvements can reduce the number of defects and meet the production targets achieved.