Enhancing Configured Manufacturing: A Framework for Subitem Substitution

In today’s dynamic manufacturing environments, configured manufacturing has emerged as a prominent approach for addressing the increasing demand for mass customization. One of the persistent challenges in this setting is the disruption caused by the unavailability of specific components or subitems in the supply chain. This paper introduces a comprehensive framework for subitem substitution in configured manufacturing processes. The framework allows for the real-time replacement of items that run out of inventory with suitable substitutes, thereby minimizing production downtime and ensuring continuity. This research contributes by formalizing substitution logic, integrating it with inventory management systems, and applying optimization techniques to maintain manufacturing quality and efficiency. Simulation and case study analyses demonstrate the efficacy of the proposed framework in diverse manufacturing contexts. The proposed framework also emphasizes adaptability and scalability, making it suitable for small-scale factories and large enterprises alike. By leveraging modern technologies such as real-time data analytics, compatibility matrices, and AI-based decision-making, the substitution system operates with minimal human intervention. Additionally, the framework incorporates historical usage patterns and supplier performance data to enhance substitution accuracy and predictability. This proactive approach transforms traditional inventory practices into a responsive, intelligent, and resilient system, better aligned with the principles of Industry 4.0. Ultimately, the study aims to bridge the gap between theoretical substitution models and practical implementation in manufacturing environments.