Optimizing cut order planning: A comparative study of heuristics, metaheuristics, and MILP algorithms

Optimizing cut order planning: A comparative study of heuristics, metaheuristics, and MILP algorithms

Cut Order Planning (COP) optimizes production costs in the apparel industry by efficiently cutting fabric for garments. This complex process involves challenging decision-making due to order specifications and production constraints. This article introduces novel approaches to the COP problem using...

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Bibliographic Details
Main Authors: Sharif Al-Mahmud, Jose Alejandro Cano, Emiro Antonio Campo, Stephan Weyers
Format: Article
Language:English
Published: Universitat Politècnica de València 2025-01-01
Series:International Journal of Production Management and Engineering
Subjects:
cop
cut order planning
heuristics
metaheuristics
milp
garment manufacturing
Online Access:https://polipapers.upv.es/index.php/IJPME/article/view/22196
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