@phdthesis{digilib71834,
           month = {June},
           title = {ANALISIS PENGENDALIAN KUALITAS PRODUK F.JACKET HYC22 MENGGUNAKAN METODE GREY FAILURE MODE EFFECT AND ANALYSIS (GFMEA) (STUDI KASUS: PT IGP INTERNASIONAL BANTUL)},
          school = {UIN SUNAN KALIJAGA YOGYAKARTA},
          author = {NIM.: 21106060023 Ainun Desvita Tanti},
            year = {2025},
            note = {Dr. Ir. Ira Setyaningsih, S.T., M.Sc, IPM, ASEAN Eng},
        keywords = {FAHP, FMEA, Grey Theory, Pengendalian Kualitas, Produksi
Garmen},
             url = {https://digilib.uin-suka.ac.id/id/eprint/71834/},
        abstract = {PT IGP Internasional Bantul is a manufacturing company engaged in the garment
sector, particularly in the production of doll clothing for the export market. One of
its main products, F.JACKET HYC22, has a Part Per Million (PPM) defect rate of
74,000 or 7.4\%, which far exceeds the company?s tolerance limit of 10,000 PPM.
This high PPM value can impact production efficiency. This study aims to identify
the types of failure that occur, analyze their causes and impacts, determine failure
priorities based on risk levels, and provide appropriate improvement
recommendations to reduce the failure rate. The methods used in this research are
an integration of Fault Tree Analysis (FTA), Failure Mode and Effect Analysis
(FMEA), Fuzzy Analytical Hierarchy Process (FAHP), and Grey FMEA (GFMEA).
The results show six main types of product failures: hanging thread,
improper/double stitch, broken stitch, unbalance, peel of stud, and decal reject.
Based on the GFMEA analysis, the highest-priority failure is unbalance, followed
by improper/double stitch and hanging thread. The root causes of failure are
further analyzed using the Fishbone Diagram, and improvement recommendations
are developed using the Five-M Checklist approach. The proposed improvements
focus on operator training, equipment maintenance, and better control of machine
temperature and pressure. These results are expected to assist the company in
reducing the failure rate and improving both production efficiency and product
quality.}
}