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This analysis reveals no single best manufacturing method, emphasizing interconnectedness in data-driven systems.
Optimizing manufacturing processes is vital to maintain global competitiveness. Organizations strive to enhance operations through diverse continuous improvement philosophies, yet face challenges in determining context-specific effectiveness. This paper will investigate key manufacturing methodologies, including Synchronous Manufacturing, Theory of Constraints, Lean Manufacturing, Design for Manufacturing, Just-In-Time (JIT), and Computer Integrated Manufacturing (CIM). This research provides a comparative analysis of each methodology's frameworks, strengths, and limitations. The results show that no universal "best" methodology exists and advocates for a nuanced approach, to deepen the understanding of their interconnectedness. Considering the integral role of data information flows in manufacturing optimization, the need for new methodologies that apply similar efficiency frameworks and philosophies to data and information flows is imperative to bridge the gap from physical systems to advanced data-driven cyber-physical systems.
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Tran et al. (2024) studied this question.
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