A learning-based two-stage optimization method for customer order scheduling

DOI10.1016/j.cor.2021.105488OpenAlexW3191592657MaRDI QIDQ2669593

Andrew Junfang Yu, Meiheng Ren, Tao Wu, Zhongshun Shi, Hang Ma

Publication date: 9 March 2022

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2021.105488

zbMATH Keywords

heuristicsartificial intelligencegenetic programmingdispatching rulescustomer order scheduling

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Cites Work

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• Minimizing the total completion time in a distributed two stage assembly system with setup times
• An order scheduling problem with position-based learning effect
• Open shops with jobs overlap -- revisited
• Scheduling parallel machines for the customer order problem
• Order scheduling in an environment with dedicated resources in parallel
• A note on the complexity of the concurrent open shop problem
• Scheduling orders for multiple product types to minimize total weighted completion time
• A tabu search algorithm for scheduling pharmaceutical packaging operations
• Open shops with jobs overlap
• Single machine hierarchical scheduling with customer orders and multiple job classes
• Deterministic assembly scheduling problems: a review and classification of concurrent-type scheduling models and solution procedures
• New approximate algorithms for the customer order scheduling problem with total completion time objective
• Metaheuristics for order scheduling problem with unequal ready times
• Order scheduling with tardiness objective: improved approximate solutions
• Tailoring customer order scheduling search algorithms
• Scheduling orders for multiple product types with due date related objectives
• The customer order lead-time problem on parallel machines

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