Master Assembly Scheduling Optimization of Project-Driven Hyperconnected Manufacturing
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Abstract
Hyperconnected manufacturing is emerging to address the increasing demand for agility, resilience, and product-specific manufacturing methodologies suitable for various practical scenarios where traditional centralized, large-scale facilities are inadequate. This study explores a hyperconnected manufacturing network—aligned with Physical Internet principles—that supports a geographically dispersed, project-driven assembly system necessitating the delivery of multiple complex products within strict timelines. We develop an optimization model for early-stage planning and decision-making, based on a real production system from the industry. The proposed model schedules production within mobile assembly factories while minimizing total production resource costs. It also incorporates realistic constraints associated with various resource types, such as workloads across product categories, parts arrival schedules, workforce continuity over resource commitment periods, and specified inventory levels. A comparative analysis evaluates the baseline schedule that directly relates to the products’ demand at the project site against a set of optimized project schedules generated from our proposed formulation. This assessment examines the effectiveness of the designed optimization model on decision-making for PI factories. The findings provide insights for practitioners aiming to enhance master assembly scheduling to achieve a costefficient, PI-enabled hyperconnected manufacturing.
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2025-06
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