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A Hyper-Heuristic for Dynamic Integrated Process Planning and Scheduling Problem With Reconfigurable Manufacturing Cells | IEEE Journals & Magazine | IEEE Xplore

A Hyper-Heuristic for Dynamic Integrated Process Planning and Scheduling Problem With Reconfigurable Manufacturing Cells


Abstract:

Manufacturing scheduling research has often overlooked the complexities of dynamic product assembly and testing scenarios, particularly those involving reconfigurable man...Show More

Abstract:

Manufacturing scheduling research has often overlooked the complexities of dynamic product assembly and testing scenarios, particularly those involving reconfigurable manufacturing cells (RMCs) and the integration of process planning and scheduling. This article addresses the problem of Dynamic Integrated Process Planning and Scheduling with RMCs, a novel and complex challenge in modern manufacturing systems. A variable-fidelity surrogate-assisted hyper-heuristic algorithm is proposed, which strategically integrates process planning and scheduling tasks to reduce computation time while improving solution quality. Unlike existing methods, our approach uses surrogate models to approximate expensive evaluations, significantly enhancing computational efficiency. In experiments, our method outperformed the second-best approach by 42.4% and the least effective method by 56.6% in terms of computational efficiency, demonstrating its capability to manage dynamic scheduling and cell reconfiguration challenges in large-scale, real-world manufacturing environments.
Page(s): 3892 - 3905
Date of Publication: 21 March 2025

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