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Perbaikan Kinerja Defect free supply chain Dengan Pendekatan Simulasi Model System Dynamics (Studi Kasus: PT. NPC) Mansur, Agus; Rifki, Muhammad; Ramadhan, Fadhil Adita Ramadhan
Jurnal Rekayasa Industri (JRI) Vol. 7 No. 1 (2025): Edisi April
Publisher : Program Studi Teknik Industri, Fakultas Sains dan Teknologi, Universitas Widya Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37631/jri.v7i1.1746

The garment industry plays an important role in supporting the Indonesian economy with a significant growth of 15.08% in 2019. This study aims to reduce the defect rate at Line 9 Factory C, PT. NPC to strengthen supply chain performance, especially performance related to the defect free supply chain. This study will explore in detail the production defect rate using the Seven Tools approach and design a defect reduction strategy with a Dynamic System Simulation approach. The Seven Tools method helps identify dominant defects such as Poor Shape, Open Seam, and Broken Stitch through Check Sheet, Pareto, and Fishbone Diagram analysis. The simulation results show that the Company's existing condition has an average defect rate of 12.15%, exceeding the company's target of less than 10%. The proposed strategic steps are to conduct interventions in the form of intensive training for operators and the addition of Inline QC officers. The simulation results show that training reduces the defect rate by 0.70%, while the addition of Inline QC officers reduces the defect rate by 1.16%. The combination of both strategies resulted in the largest reduction in defect rates of up to 1.34%, indicating a positive direction of improvement towards the company's target. The implementation of quality control strategies not only increased operational efficiency, but also increased the company's supply chain performance.

EVALUATION OF PRODUCTION MACHINE EFFECTIVENESS USING THE OVERALL EQUIPMENT EFFECTIVENESS (OEE) METHOD Herawan, Fredi; Mansur, Agus
Jurnal Disprotek Vol 16, No 2 (2025)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v16i2.8566

The effectiveness of production machinery is a crucial factor in supporting the operational performance of manufacturing companies, particularly in achieving quality standards, cost efficiency, and delivery timeliness. CV ABC, a garment company, experienced a decrease in productivity due to the high number of defective products and the frequency of sewing machine breakdowns that caused downtime. The focus of this research is the analysis and evaluation of the effectiveness of the machine. The goal is to determine the level of effectiveness in the use of equipment or machinery using the Overall Equipment Effectiveness (OEE) method. This study is very important because it identifies the factors that cause the decline in effectiveness based on the Six Big Losses measurement. The research was conducted by collecting production data during the period from January to December 2024. The three main components of OEE analyzed include: availability, performance efficiency, and rate of product quality. The average OEE value of 54.27% indicates that the machine has not operated effectively according to the JIPM standard (85%). Based on the analysis of Six Big Losses, the highest losses came from quality defects of 10.5%, with the main causes being frequent engine stops during the production process, the length of the reset process, and delays in replacing parts. To overcome these problems, it is recommended to provide training to operators, improve the schedule and quality of machine maintenance, maintain a clean work environment, and ensure that all production activities are carried out in accordance with Standard Operating Procedures (SOP). This research contributes to continuous improvement in decision-making to improve the operational effectiveness of production machines. EVALUASI EFEKTIVITAS MESIN PRODUKSI MENGGUNAKAN METODE OVERALL EQUIPMENT EFFECTIVENESS (OEE)Efektivitas mesin produksi merupakan faktor krusial dalam mendukung kinerja operasional perusahaan manufaktur, khususnya dalam memenuhi standar kualitas, efisiensi biaya, dan ketepatan waktu pengiriman. CV ABC, sebuah perusahaan garmen, mengalami penurunan produktivitas akibat tingginya produk cacat dan frekuensi kerusakan mesin jahit yang menyebabkan downtime. Fokus penelitian ini adalah analisis dan evaluasi efektivitas mesin. Tujuannya adalah untuk menentukan tingkat efektivitas pemakaian peralatan atau mesin dengan menggunakan metode Overall Equipment Effectiveness (OEE). Penelitian ini sangat penting karena mengidentifikasi faktor penyebab penurunan efektivitas yang didasarkan pada pengukuran Six Big Losess. Penelitian dilakukan dengan mengumpulkan data produksi dalam rentang waktu Januari sampai Desember 2024. Tiga komponen utama OEE yang dianalisis meliputi: availability, performance efficiency, dan rate of quality product. Hasil nilai OEE rata-rata sebesar 54,27% mengindikasikan bahwa mesin belum beroperasi secara efektif sesuai standar JIPM (85%). Berdasarkan analisis Six Big Losses, kerugian tertinggi berasal dari quality defect sebesar 10,5%, dengan penyebab utama berupa seringnya mesin berhenti saat proses produksi, lamanya proses penyetelan ulang, dan keterlambatan penggantian suku cadang. Untuk mengatasi permasalahan tersebut, disarankan memberikan pelatihan kepada operator, meningkatkan jadwal dan kualitas perawatan mesin, menjaga kebersihan lingkungan kerja, serta memastikan seluruh aktivitas produksi dilakukan sesuai dengan Standard Operating Procedure (SOP). Penelitian ini memberikan kontribusi dalam pengambilan keputusan perbaikan berkelanjutan guna meningkatkan efektivitas operasional mesin produksi.

A Mixed-Integer Linear Programming Model for the Rice Supply Chain in Karawang Regency to Minimize Costs Agus Mansur; Pratiwi, Annisa Indah; Prawibowo, Syafa Thania
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 3 (2025): Jurnal Teknologi dan Manajemen Industri Terapan (in press)
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i3.1083

The rice supply chain in Indonesia plays a vital role in national food security, where efficient distribution ensures price stability and availability in the market. However, the complexity of multi-echelon systems often leads to inefficiencies in procurement, production, and distribution. This study aims to develop a Mixed-Integer Linear Programming (MILP) model to optimize the rice supply chain in Karawang Regency, focusing on cost minimization while integrating environmental and risk considerations. Using dummy data on supply, demand, production, distribution, labor, and emissions, the model was tested with Microsoft Excel Solver. The results show that procurement from farmer groups is the largest cost component (51.24%), followed by production (23.96%) and distribution (23.19%), with a total cost of USD 1,783,113,142. Optimization achieved a 13% cost reduction and a 9% emission reduction compared to non-optimized conditions, while risk assessment identified M2–J2 supply (RPN = 20) and J1 production (RPN = 16) as the most critical hazards. These findings suggest practical implications for Perum Bulog and policymakers, including strengthening procurement planning, optimizing warehouse allocation, and adopting cleaner production technologies to improve both efficiency and sustainability. The novelty of this study lies in integrating hazard-based risk assessment with MILP for a regionally strategic rice supply chain, while simultaneously considering cost efficiency and carbon emission constraints. This provides both theoretical contributions to sustainable supply chain optimization and practical strategies for policy driven food security.

Risk Management Framework Design Based on ISO 31000 and SCOR Model Rachmadhani, Mirga Maulana; Immawan, Taufiq; Mansur, Agus; Choi, Wonsik
Spektrum Industri Vol. 21 No. 1 (2023): Spektrum Industri - April 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v21i1.93

In every large, medium and small industrial enterprise, risks must occur in the business process. The study conducted at one of the small medium enterprise (SME) in the Bantul, Yogyakarta. It begins with the fact that obstacles that often occur are delays in delivery, product damage, and also other obstacles. Hence, those are the reasons of this study conducted. Further, the risk management framework has an important role in reducing these problems. The approach used ISO 31000 method and the SCOR Model in making a proposed framework to improve risk management performance. Based on the proposed framework that has been made, the risk identification process in Rajut Bamboo has 32 risks in its business processes. The risk mitigation proposal is carried out on seven risks in the high-risk category. The risk mitigation results are obtained in the risk codes (D3) unfinished product and absence of SOP, (M2) quality control takes a long time, (P5) unplanned overhead costs, and (A1) products in storage are damaged or lost, thus it showed down to medium risk category, then the risk codes (D9) expensive packaging material costs, (D2) order time exceeds the specified time, and (M6) no mitigation planning, thus it showed down to low-risk category.

Collaborative digital marketing and supply chain management for micro, small and medium enterprises Agus Mansur; Razel Thimoty; Syafa Thania Prawibowo; Wahyudi Sutrino; Fadhil Adita Ramadhan; Tiara Febian
International Journal of Industrial Optimization Vol. 6 No. 2 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar

This study explores specific supply chain challenges faced by Batik Ayu Arimbi, a small-scale business in the batik industry, particularly how the manual calculations in its make-to-stock system impact its financial accuracy and operational efficiency. The company has been experiencing financial losses due to these inaccuracies. To address these issues, this research proposes improvements in supply chain management by implementing Business Process Model Notation (BPMN) to streamline process visualization and coordination among the artisans, showrooms, and production houses. The use of digital marketing platforms, particularly Instagram, is also suggested to optimize marketing efforts and achieve sales targets. This study contributes to the literature by emphasizing novel BPMN implementation aspects and demonstrating the effectiveness of digital marketing for MSMEs in the textile sector. The qualitative data was collected through semi-structured interviews, which provided insights into current practices and areas for improvement. The findings show that increased cooperation between supply chain actors reduces inventory errors by 20% and increases the accuracy of financial tracking by 15%, thereby reducing operational risks. Furthermore, the digital marketing strategies increased customer engagement rates by 25%, directly contributing to sales growth. The findings further suggest that the proposed solutions not only resolve the identified problems but also provide a scalable model for enhancing resilience in Batik Ayu Arimbi’s supply chain operations as one of MSMEs. In conclusion, boosting sustainability and performance in MSMEs requires improved supply chain collaboration and the strategic application of digital tools.

A Mixed-Integer Linear Programming Model for the Rice Supply Chain in Karawang Regency to Minimize Costs Agus Mansur; Pratiwi, Annisa Indah; Prawibowo, Syafa Thania
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 3 (2025): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i3.1083

The rice supply chain in Indonesia plays a vital role in national food security, where efficient distribution ensures price stability and availability in the market. However, the complexity of multi-echelon systems often leads to inefficiencies in procurement, production, and distribution. This study aims to develop a Mixed-Integer Linear Programming (MILP) model to optimize the rice supply chain in Karawang Regency, focusing on cost minimization while integrating environmental and risk considerations. Using dummy data on supply, demand, production, distribution, labor, and emissions, the model was tested with Microsoft Excel Solver. The results show that procurement from farmer groups is the largest cost component (51.24%), followed by production (23.96%) and distribution (23.19%), with a total cost of USD 1,783,113,142. Optimization achieved a 13% cost reduction and a 9% emission reduction compared to non-optimized conditions, while risk assessment identified M2–J2 supply (RPN = 20) and J1 production (RPN = 16) as the most critical hazards. These findings suggest practical implications for Perum Bulog and policymakers, including strengthening procurement planning, optimizing warehouse allocation, and adopting cleaner production technologies to improve both efficiency and sustainability. The novelty of this study lies in integrating hazard-based risk assessment with MILP for a regionally strategic rice supply chain, while simultaneously considering cost efficiency and carbon emission constraints. This provides both theoretical contributions to sustainable supply chain optimization and practical strategies for policy driven food security.

Risk Mitigation Design for Supply Chain Activities in Printing Industry with House of Risk Method Suaib, Robih Alfian Hastrianda; Mansur, Agus; Basuki, Demas Emirbuwono; Aulia, Baiq Putri Rizka
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 21, No 2 (2024): June 2024
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v21i2.29853

Alvian MSMEs is a company engaged in printing, which serves ordering calendars, banners or billboards. The problem faced by Alvian MSMEs today is supply chain activities and production that are usually late so that products experience a decrease in buying interest from customers. To overcome these problems, MSMEs mitigate risks in supply chain and production activities using the HOR (House Of Risk) Method. Based on Hor phase 1, 12 risk events and risk agents were obtained. The identification results show that the highest risk agent is low-quality raw materials (A9). This risk agent has the highest value because it can cause risk events in the form of poor quality or defects (E9). In HOR phase 2, 6 priorities were obtained for risk mitigation to prevent system failure (PA3), implementing preventive maintenance routines is a top priority. With an ETDk value of 10386, PA3 mitigation measures can reduce risk factors such as manufacturing defects, misconceptions of customer specifications, and quality testing problems, improper maintenance, overuse, system failure, technical problems with printing machines, staff or management failures, no routine monitoring of machine checks (A11,A8,A4,A5,A7).

Risk Mitigation Strategies for Sustainable Poultry Supply Chain Management Haswika; Agus Mansur; Meilinda F. N. Maghfiroh
Advance Sustainable Science Engineering and Technology Vol. 6 No. 4 (2024): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i4.997

The livestock sector is an important pillar in providing animal protein and sustaining the rural economy. However, the sector faces major challenges from environmental and socio-economic issues, such as climate change and environmental degradation, which can threaten its sustainability. Negative impacts such as environmental contamination can reduce production quality and quantity and increase supply chain operational costs. This study aims to identify effective risk mitigation strategies to reduce these negative impacts and improve the sustainability of supply chain management. Data were collected from laying duck farms and analyzed using the House of Risk (HOR) method with a Phase 1 and 2 approach. This approach allows the identification of the most critical risks and risk agents and mapping mitigation priorities. Key findings indicate that providing drugs or vaccines to prevent animal virus outbreaks is the highest priority mitigation strategy, while strategic policy decision-making has the lowest priority. Overall, 15 risks and 21 risk agents were identified. This study implies that the implementation of effective mitigation strategies can significantly reduce operational risks, strengthen the resilience of the livestock sector, and support the sustainability of supply chain management as a whole.

Analisis Resiko pada Industri Batik Melalui Pendekatan ISO 31000 dan House of Risk (HOR) : Studi Kasus di CV. Akasia Laela, Euis; Haerudin, Agus; Mansur, Agus; Isnaini, Isnaini
Dinamika Kerajinan dan Batik: Majalah Ilmiah Vol. 37 No. 1 (2020): Dinamika Kerajinan dan Batik : Majalah Ilmiah
Publisher : Balai Besar Standardisasi dan Pelayanan Jasa Industri Kerajinan dan Batik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22322/dkb.v37i1.6136

Kebanyakan batik dikerjakan oleh industri kecil menengah, yang dikerjakan secara tradisional, baik proses pembuatan maupun manajemennya. Manajemen perusahaan tradisional belum menerapkan sistem manajemen risiko dalam pengelolaannya. Dalam penelitian ini dilakukan identifikasi melalui wawancara untuk menemukan kejadian risiko dan dampaknya, agen risiko dan probabilitasnya serta hubungan antara kejadian risiko dan agen risiko. Dalam melakukan penelitian ini menggunakan pendekatan ISO 31000. Selanjutnya dilakukan analisa mendalam menggunakan model House of Risk (HOR) yang terdiri dari 2 tahap. Tahap ke satu merupakan identifikasi risk event serta risk agent. Langkah selanjutnya dilakukan penilaian tingkat severity dan occurance serta penilaian Aggregate Risk Priority (ARP). Tahap kedua merupakan proses menangani risiko. Dari identifikasi dan analisis ditemukan 25 kejadian risiko dari 20 agen risiko. Sepuluh agen risiko diantaranya menjadi prioritas untuk ditangani. Setelah dilakukan risk mapping, disepakati 8 strategi mitigasi risiko untuk menangani agen–agen risiko prioritas yaitu (1) Pengarahan untuk memotivasi pekerja, (2) menerapkan system reward and punishmen dengan jelas (3), menerapkan customer relationship system management, (4), merekrut karyawan administrasi dan marketing yang paham IT, (5) membuat standard layanan (6) , melakukan training, (7) membuat akun media sosial, dan (8) merekrut admin media sosial

Risk Mitigation Design in the Supply Chain Process of Arabica Cofee Fort Alla Muhammad Akbar Palakbiran; Agus Mansur; Windi Auliana
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 11 No. 2 (2025): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/1intech.v11i2.11358

The Arabica coffee supply chain in Fort Allé is subject to a number of risks that have the potential to disrupt supply continuity and product quality. The objective of this study is to identify potential risks and develop mitigation strategies that can be integrated into the value chain. The research scope encompasses the identification, prioritization, and design of field-based countermeasures. The Delphi method was employed to identify risk events and agents, and the House of Risk (HOR) approach was utilized for analysis, evaluation, and prioritization of strategies. The data collection process entailed a multifaceted approach, encompassing observational studies, in-depth interviews, the administration of questionnaires, brainstorming sessions, and focus group discussions with cooperative stakeholders. The study identified 14 risk events and 33 risk sources, leading to the formulation of 14 preventive measures. The integration of coffee crops with secondary crops was prioritized (ETDk: 5184), as it enhances both sustainability and profitability. The proposed strategies are embedded within the coffee value chain, offering practical guidance for cooperatives and agroindustry actors to strengthen supply chain resilience and increase added value. The results of this study can serve as a reference for decision-making by cooperatives, agroindustry players, and policymakers in designing coffee supply chain strengthening programs that focus on risk mitigation and increasing added value based on sustainability.

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