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p-Index From 2021 - 2026
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All Journal Nexus: Journal of Cross-Disciplinary Insights Tech : Journal of Engineering Science
Nurilia Fitri Prabawati
Universitas Islam Kadiri, East Java, Indonesia
Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering

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Optimization System of Non-Medical Warehouse at UOBK Regional Hospital (A Quantitative Validation using WinQSB Software) Nurilia Fitri Prabawati
Tech : Journal of Engineering Science Vol 2 No 1 (2026): Inovasi Teknik dan Teknologi untuk Sistem Berkelanjutan dan Efisiensi Industri
Publisher : Yayasan Penelitian dan Pengabdian Masyarakat Sisi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69836/tech.v2i1.720

Abstract

The previous study at UOBK Regional Hospital provided many informative suggestions, but still did not achieve the main objective and didn’t show the quantitative validation. The previous study only showed the perspective by grouping the similar materials without any calculation for validation. However, this study provided a quantitative validation using the CRAFT algorithm with winQSB software in the form of a functional layout. Data was obtained from the previous study then it was calculated to be the input data for this study. By considering the field study and made some adjustment, it was acceptable using the previous study information not only to calculate the cost but also to calculate the layout coordinate. So this study integrated two previous studies to analyze how the outcome of layout recommendation from the previous study compared with its initial layout (raw data). The total material handling cost using winQSB calculated that the initial layout value was 25360.50. The optimum value of this initial layout was 25070.38. The results supported the layout recommendation on the previous study by adding admin desk and grouping the similar materials. This was demonstrated by the optimum value of layout recommendation, which was 19195.23 using the two-way exchange option. This study implied that the layout recommendation reduced until 77% of total material handling cost and demonstrated better value than its initial layout.
Supply Chain Performance Evaluation of New Product Variant Production Using SCOR Metrics (Study at CV AW – East Java) Nurilia Fitri Prabawati; Fahmi Hidayat; Henry Hafidz Anbiya
Nexus: Journal of Cross-Disciplinary Insights Vol. 2 No. 2 (2026): Science for a better life
Publisher : Yayasan Penelitian dan Pengabdian Masyarakat Sisi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69836/nexus.v2i2.336

Abstract

This research uses SCOR attributes such as order fulfilment rate, on-time delivery rate, and customer complaint rate to assess whether new product variants disrupt the queueing of existing items. All variants will be run on the same machine to optimize machine capacity. The company hesitates because new variants would disrupt existing product fulfilment. To ensure CV AW would take this opportunity, research using the SCOR metric was conducted to assess order fulfilment performance. Many organizations currently struggle with subjective or fragmented evaluation systems, often failing to capture the multidimensional complexities. Specifically, metrics such as on-time in-full delivery and perfect order fulfillment remain critical benchmarks for customer satisfaction. Yet, their assessment is frequently hampered by poor alignment with the comprehensive Supply Chain Operations Reference model. While the SCOR model is widely recognized for its diagnostic capability to identify performance bottlenecks, it often lacks prescriptive guidance on the specific operational shifts required to resolve identified inefficiencies. Consequently, this research aims to bridge this gap by applying a refined SCOR-based approach to quantify and optimize distribution performance, thereby addressing the persistent disconnect between strategic objectives and operational execution. This research found that it takes several months to adapt, but ultimately both the order fulfilment and on-time delivery rates can stabilize above 95%. The business was very strict, but the production team was very responsive; it took them 6 months to establish stable production for new variants.
Co-Authors Fahmi Hidayat Henry Hafidz Anbiya