Widya Nurcahayanty Tanjung
Department of Industrial Engineering, Faculty of Science and Technology, University of Al-Azhar Indonesia

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Integrated Production Planning for Shoulder Leader Pin at PT XYZ Alifah Almas; Nadila Puspita Tri Handayani; Muhammad Naufaldi Rasyid; Hikmal Abrar; Niken Parwati; Widya Nurcahayanty Tanjung
Metris: Jurnal Sains dan Teknologi Vol. 27 No. 01 (2026): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v27i01.7705

Abstract

Accurate production planning plays a critical role in balancing market demand and a company’s production capacity. PT XYZ, a manufacturing company producing industrial spare parts, faces production planning issues for its shoulder leader pin product due to the absence of a structured demand forecasting system. This study aims to develop an integrated production planning framework by applying demand forecasting, Master Production Schedule (MPS), Rough-Cut Capacity Planning (RCCP), and Material Requirement Planning (MRP). One year of historical demand data was analyzed using the Double Moving Average (DMA) and Double Exponential Smoothing (DES) methods of Brown. Forecasting accuracy was evaluated using Mean Absolute Percentage Error (MAPE), with the DMA method achieving a lower MAPE of 3.10%, indicating better accuracy than DES Brown. The selected forecasting results were used as input for the development of the MPS. RCCP analysis demonstrated that the available production capacity at all workstations was sufficient to meet the planned production requirements throughout the planning horizon, without requiring additional capacity. Furthermore, MRP was conducted to determine the quantity and timing of raw material procurement for SUJ2 steel with a one-period lead time. The MRP results indicate that material requirements can be fulfilled precisely in each period without excess inventory. Overall, the implementation of an integrated production planning system enables PT XYZ to improve planning accuracy, align production capacity with demand, and enhance operational efficiency.
Risk Analysis of Operator Work Posture Using the Rapid Entire Body Assessment (REBA) Method in Industrial Machine Production Processes Naufal Rasyid; Alifah Almas; Hikmal Abrar; Nadila Puspita Tri Handayani; Niken Parwati; Widya Nurcahayanty Tanjung
Metris: Jurnal Sains dan Teknologi Vol. 27 No. 01 (2026): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v27i01.7706

Abstract

In industrial manufacturing environments, non-ergonomic working postures are a major contributing factor to the development of musculoskeletal disorders (MSDs) among machine operators. In spare part production processes, operators are often required to maintain static and awkward postures for prolonged periods, which may increase biomechanical load on the body. This study aims to analyze the risk of operator working postures using the Rapid Entire Body Assessment (REBA) method in an industrial machine spare part production process. The research employed a descriptive observational approach conducted under actual working conditions without modifying existing work methods. Postural data were collected through direct observation and photographic documentation of operators at four main workstations, namely lathe, milling, cylindrical grinding, and surface grinding. Body segment angles, including the neck, trunk, legs, upper arms, lower arms, and wrists, were measured using the APECS application and evaluated using the REBA worksheet. The results indicate that operators at three out of four workstations exhibited forward-bending neck postures, resulting in relatively high neck angle deviations. All analyzed workstations were classified as having a medium level of MSD risk, with REBA scores ranging from 4 to 7. The milling workstation recorded the highest risk level with a REBA score of 7, primarily due to excessive trunk flexion, neck inclination, and prolonged static postures. These findings highlight the need for ergonomic improvements, such as adjusting machine height using platforms or height-adjustable bases, to enable operators to work in a more neutral posture and reduce musculoskeletal risk.