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The Influence of Design for Manufacturing and Assembly on Production Efficiency and Product Quality; A Case Study of a 0.5 Inch Class 800LB Ball Valve Nur Apriady, Muhammad; Syairudin, Bambang
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 1 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i1.254

Abstract

Background: The manufacturing industry faces increasing pressure to enhance production efficiency while maintaining high product quality standards. Design for Manufacturing and Assembly (DFMA) has emerged as a critical methodology for addressing these challenges by integrating manufacturing and assembly considerations into the early design phase Objective: This study aims to analyze the effect of implementing the Design for Manufacturing and Assembly (DFMA) approach on production efficiency and product quality in the manufacturing of a 0.5-inch Class 800LB Ball Valve. Methods: The research adopts a quantitative approach with a comparative analysis between the initial design and the optimized design developed based on DFMA principles. Data were collected through direct observation of manufacturing and assembly processes, in-depth interviews with production engineers, and examination of technical documentation regarding process time, cost structure, and component quantity. Results: The results show that applying DFMA significantly reduces assembly time by approximately 20%, decreases the number of non-value-added components, and simplifies the assembly sequence, which collectively enhance overall production efficiency. Furthermore, the redesigned product demonstrates improved quality consistency, lower assembly defect rates, and better structural reliability during performance testing. Integrating DFMA with Value Analysis and Value Engineering (VAVE) also contributes to a more cost-effective and sustainable manufacturing system by aligning design simplicity with functional performance. Conclusion: The findings emphasize that DFMA is not only a tool for operational improvement but also a strategic design framework that supports competitiveness, lean production, and continuous improvement in industrial environments. Hence, DFMA implementation is recommended as a standardized design practice to achieve efficiency, quality assurance, and innovation within the manufacturing sector.
Process Optimization of Material Haulage through Data-Driven Operator Behavior Management for Energy Efficiency in Scania G500 Nugroho, Yoga Basuki; Syairudin, Bambang
JMPM (Jurnal Material dan Proses Manufaktur) Vol. 10 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmpm.v10i1.30239

Abstract

High energy intensity in material transportation represents a critical bottleneck in coal mining operational efficiency, with diesel consumption accounting for up to 34% of total expenditures. This study approaches fuel consumption as a controllable process variable, aiming to optimize energy utilization by analyzing operator-driven parameters across a fleet of ten Scania G500 units. Using a process optimization framework, telemetry data from the Scania Driver Evaluation (SDE) system (January–June 2025) were analyzed via Multiple Linear Regression (MLR) to identify significant variances in the energy conversion cycle. The results demonstrate that the optimization of specific process inputs, namely brake application frequency, coasting distance, power mode duty cycles, and cruise control utilization, critically dictates energy throughput, yielding a coefficient of determination (R²) of 66.39%. Implementation of data-driven process interventions and standardized operator protocols successfully mitigated energy waste, reducing average fuel intensity by 3.85% (from 89.87 L/100 km to 86.41 L/100 km) in September 2025. This systematic optimization translates to a significant reduction in operational overhead, totalling Rp 77,850,000.00 per month for a 10-unit fleet. Furthermore, by minimizing thermodynamic losses through improved operator control, this study provides a scalable model for decarbonization, directly supporting Indonesia’s Net Zero Emission (NZE) 2060 objectives through quantifiable energy conservation.