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Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri
Published by Universitas Islam Negeri Sultan Syarif Kasim Riau
ISSN : 2460898X     EISSN : 27146235     DOI : http://dx.doi.org/10.24014/jti
Core Subject : Science, Social, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering
(ISSN : 2460-898X) JTI merupakan jurnal akademik yang dipublikasikan 2 kali setahun, meliputi bulan Juni dan Desember. Tujuan jurnal ini menyediakan tulisan yang memiliki yang fokus pada bidang Teknik Industri. lebih lanjut jurnal ini dipulikasikan oleh Jurusan Teknik Industri Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan syarif Kasim Riau. Tulisan yang diterima merupakan hasil originalitas dan memberikan kontribusi yang belum pernah dipublikasikan sebelumnya.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 391 Documents
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A Robust Quality-Control Framework for Standardizing Potato-Chip Frying Parameters Using Goal Programming and Monte Carlo Simulation Cicilia Sriliasta Bangun; Andre Wicaksana; Edwar; MD. Amperajaya; Antoniette T. Mollejon
JTI: Jurnal Teknik Industri Vol 12 No 2 (2026): December 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i2.39798

Abstract

Capacity expansion in continuous food processing can destabilize quality when operating settings developed for a lower-throughput line are carried forward without statistical revalidation. This issue is pronounced in potato-chip frying, where moisture removal, oil uptake, immersion condition, and residence time interact during processing. Previous studies have explained frying mechanisms or proposed optimized parameter values, but fewer have shown how those results can be converted into Statistical Process Control (SPC) routines that operators can monitor and act on. This study proposes an integrated quality-control framework to standardize frying parameters after a 22% demand surge increased waste from 1-5% to approximately 20%. Historical shift-level records from March-May 2025 were treated as Phase-I data; after structural cleaning and IQR-based screening, 113 of 132 records were retained. The framework connects CTQ identification, empirical response modelling, lexicographic goal programming, Monte Carlo validation, scenario-tested operating windows, sensitivity ranking, Ppk review, and SPC deployment. Moisture content and oil content were selected as CTQs. Simulation results showed stable moisture performance, whereas oil content remained the limiting CTQ with predictive Ppk of 0.92. The framework offers a practical bridge between optimization results and shop-floor SPC implementation for post-expansion frying stabilization.

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