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All Journal Teknika STTKD: : Jurnal Teknik, Elektronik, Engine Academia Open
Sari, Zulia Wulan
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Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health

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ANALISA RESCHEDULE REPAIR KM STU MENGGUNAKAN METODE CRITICAL CHAIN PROJECT MANAGEMENT Sari, Zulia Wulan; Dira Ernawati
Teknika STTKD: : Jurnal Teknik, Elektronik, Engine Vol 10 No 2 (2024): TEKNIKA STTKD: JURNAL TEKNIK, ELEKTRONIK, ENGINE
Publisher : Sekolah Tinggi Teknologi Kedirgantaraan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56521/teknika.v10i2.1289

Abstract

PT XYZ is the largest shipyard company in Indonesia. As the largest shipyard, PT XYZ is required to PT XYZ is the largest shipyard company in Indonesia. As the largest shipyard, PT XYZ is the largest shipyard company in Indonesia. As the largest shipyard, PT XYZ is required to complete new shipbuilding and repair projects quickly, in accordance with the agreement stated in the contract agreed between the shipowner or his representative and the shipyard. In this case, project scheduling planning plays a very important role to ensure that each stage of work can be completed efficiently and on time. However, the schedule designed from the start is not always fully aligned with the implementation in the field, so that the work has the potential to be delayed from the specified time. The delay also occurred in the KM STU repair project carried out by PT XYZ. Therefore, a reschedule was carried out using the Critical Chain Project Management method. By implementing the CCPM method, the results showed that the project duration was 13 days with an additional project buffer of 3.5 days and a cost of IDR 266,000,000 which was the same as the normal duration or initial condition. However, if the buffer time in the CCPM duration is fully used, the total cost obtained will increase to IDR 304,080,000 or around 14.3% of the CCPM cost without a buffer. Meanwhile, worker productivity by implementing the Critical Chain Project Management method has increased compared to before. Previously, the average worker productivity was 27.45/mandays. Then after implementing the CCPM method, the average worker productivity became 54.89/mandays. Based on the results of the study, it can be seen that the Critical Chain Project Management method is more effective and efficient than the previous method. So that the results of this study can be used by the company as a reference in planning the next repair project schedule.
Lagrange Multiplier Reduces Cloth Diaper Raw Material Inventory Cost: Metode Lagrange Multiplier dalam Mengurangi Biaya Persediaan Bahan Baku Cloth Diaper Sari, Zulia Wulan; Sumiati, Sumiati
Academia Open Vol. 11 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.11.2026.13796

Abstract

General Background The textile manufacturing industry requires efficient raw material inventory control to ensure production continuity and cost minimization. Specific Background CV ABC faces challenges in managing cloth diaper raw material inventory due to ordering policies that are not aligned with actual demand and warehouse capacity, leading to excess stock and increased costs. Knowledge Gap Previous studies often apply optimization methods separately and rarely integrate constrained optimization, reorder decision models, and demand forecasting within capacity-limited environments in small to medium textile industries. Aims This study aims to minimize total inventory costs by applying the Lagrange Multiplier method under warehouse capacity constraints and the Reorder Point (ROP) method to determine optimal reorder timing, supported by demand forecasting. Results The proposed approach yields a total inventory cost of IDR 22,194,689, lower than the company’s existing cost of IDR 23,965,625, resulting in savings of IDR 1,770,936 (7%) while achieving optimal warehouse utilization of 15.064 m³. Novelty This study demonstrates the integration of demand forecasting, Lagrange Multiplier, and ROP methods within a capacity-constrained inventory system for cloth diaper production. Implications The findings provide a practical inventory planning framework for small and medium textile manufacturers to determine optimal order quantities and reorder timing while considering storage limitations and cost efficiency. Highlights: Proposed model reduced total expenditure by 7% compared to existing practice. Storage utilization achieved full alignment with available space limits. Integrated approach determined optimal order quantity and reorder timing simultaneously. Keywords: Inventory, Lagrange Multiplier, Reorder Point
Co-Authors Dira Ernawati Sumiati Sumiati