Engineering Management and Modular Design: A Path to Robust Manufacturing Processes
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| Publicado en: | Processes vol. 13, no. 1 (2025), p. 160 |
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| Autor principal: | |
| Otros Autores: | , |
| Publicado: |
MDPI AG
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 024 | 7 | |a 10.3390/pr13010160 |2 doi | |
| 035 | |a 3159547700 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231553 |2 nlm | ||
| 100 | 1 | |a Mollajan, Ali |u School of Industrial Engineering, College of Engineering, University of Tehran, Tehran 14176-14411, Iran; <email>hiranmanesh@ut.ac.ir</email> | |
| 245 | 1 | |a Engineering Management and Modular Design: A Path to Robust Manufacturing Processes | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Manufacturing environments, characterized by dynamic changes and uncertainties, demand effective strategies to minimize disruptions. This study introduces an innovative approach that integrates engineering management principles with modular design to prioritize risk mitigation and enhance robustness in manufacturing processes. From a systems engineering perspective, all manufacturing activities are perceived as interconnected components within a unified system. Leveraging the Axiomatic Design (AD) theory and the Design Structure Matrix (DSM) method, the study modularizes manufacturing process architecture to effectively curb risk propagation and manage system complexity. This study identifies the most optimal design as a pivotal architectural configuration, significantly improving the structural robustness and stability of the System of Interest (SOI). Empirical evidence supports this design’s capability to reduce complexities, thereby enhancing robustness within the broader system architecture. Notably, the proposed approach results in a substantial reduction in complexity, with the most optimal design exhibiting an approximately 82.79 percent reduction in work volume compared to the original design. Our research underscores the critical relationship between manufacturing and engineering management. Effective collaboration between these domains optimizes resource allocation, decision-making processes, and overall organizational strategy, leading to improved production processes and increased efficiency. Importantly, the study demonstrates a significant enhancement in modularization, resulting in elevated overall robustness in manufacturing processes. This highlights the proactive involvement of engineering management in the design phase to address production challenges, ultimately optimizing system performance. Thus, this research contributes to both practical applications and academic discourse by offering a novel approach to enhancing the robustness in manufacturing processes. By integrating engineering management principles and modular design strategies, organizations can fortify their processes against disruptions and effectively adapt to evolving circumstances. | |
| 653 | |a Modular engineering | ||
| 653 | |a Configuration management | ||
| 653 | |a Optimization techniques | ||
| 653 | |a Resource allocation | ||
| 653 | |a Quality control | ||
| 653 | |a Manufacturing | ||
| 653 | |a Engineering management | ||
| 653 | |a Robustness | ||
| 653 | |a Efficiency | ||
| 653 | |a Systems engineering | ||
| 653 | |a Modular systems | ||
| 653 | |a Decision making | ||
| 653 | |a Risk perception | ||
| 653 | |a Disruption | ||
| 653 | |a Design | ||
| 653 | |a Modular design | ||
| 653 | |a Modular structures | ||
| 653 | |a Complexity | ||
| 653 | |a Design optimization | ||
| 653 | |a Management | ||
| 653 | |a Systems stability | ||
| 653 | |a Structural stability | ||
| 700 | 1 | |a Thomson, Vincent James |u Department of Mechanical Engineering, Faculty of Engineering, University of McGill, Montreal, QC H3A 0C3, Canada; <email>vincent.thomson@mcgill.ca</email> | |
| 700 | 1 | |a Seyed Hossein Iranmanesh |u School of Industrial Engineering, College of Engineering, University of Tehran, Tehran 14176-14411, Iran; <email>hiranmanesh@ut.ac.ir</email> | |
| 773 | 0 | |t Processes |g vol. 13, no. 1 (2025), p. 160 | |
| 786 | 0 | |d ProQuest |t Materials Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3159547700/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3159547700/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3159547700/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |