Optimization Model-Driven Adaptation in Interconnected Manufacturing Networks
Résumé
In an ever-evolving market landscape, companies often excel at spotting
opportunities within their existing product range but struggle to identify opportunities for new
product lines. This gap underscores that traditional approaches, often siloed and focused on
singular manufacturing systems, fall short in exploiting the full spectrum of capabilities that an
interconnected, ecosystem-wide perspective offers. This research proposes to bridge this gap
by extending the adaptability analysis from isolated systems to an interconnected network
framework by manufacturing potential collaborative efforts. The study introduces an
optimization model designed to accurately give adaptation recommendations based on shared
capabilities. It capitalizes on our results of an ontology-based matchmaking process to
effectively map identified manufacturing service providers candidates. The model encapsulates
a decision-making process in an enterprise's location and operation allocation network, aiming
to map out the identified candidates, explore feasible task allocations, and ultimately select an
optimal configuration that meets the manufacturing requirements. An illustrative case involves
a stroller manufacturer branching into folding bicycle production. This scenario serves as a
validation of the model, showcasing its ability to enhance company adaptability and resilience.
Through interconnected production networks, the model helps seizing new production
opportunities and accurately estimate co-production costs.
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