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Kaige Han, Yitong Shi, Mouquan Shen
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Joint scheduling of AGVs and parallel machines in an automated electrode foil production factory
10.1016/j.eswa.2023.122197 · doi-reference
Sustainable negotiation-based nesting and scheduling in additive manufacturing systems
10.1016/j.engappai.2022.104836 · doi-reference
Integrated nesting and scheduling of additive manufacturing in 3d printing farms under calendar constraints
10.1007/s10696-026-09681-6 · doi-reference
Lagrangian approach to minimize makespan of non-identical parallel batch processing machines
10.1016/j.cie.2016.09.018 · doi-reference
10.3926/jiem.7083
10.3926/jiem.7083 · doi-reference
A hybrid learning-based meta-heuristic algorithm for scheduling of an additive manufacturing system consisting of parallel SLM machines
10.1080/00207543.2021.1987550 · doi-reference
Nesting and scheduling in additive manufacturing: The impact of practical nesting strategies on overall makespan efficiency
10.1049/cim2.70036 · doi-reference
Combinatorial benders decomposition for single machine scheduling in additive manufacturing with two-dimensional packing constraints
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Simultaneous consideration of relative density, energy consumption, and build time for selective laser melting of inconel 718: A multi-objective optimization study on process parameter selection
10.1016/j.jclepro.2022.133284 · doi-reference
A branch-and-price algorithm to perform single-machine scheduling for additive manufacturing
10.1016/j.jmse.2022.10.001 · doi-reference
Advanced scheduling for unrelated parallel additive manufacturing systems
10.1007/s00170-026-18613-5 · doi-reference
The energy-aware nesting and scheduling problem on a single selective laser melting machine: Mathematical model and solution approach
10.1080/00207543.2025.2557013 · doi-reference
Production planning in additive manufacturing and 3d printing
10.1016/j.cor.2017.01.013 · doi-reference
Multi-objective energy-efficient hybrid flow shop scheduling using Q-learning and GVNS driven NSGA-II
10.1016/j.cor.2023.106360 · doi-reference
Including mechanical requirements in a bi-objective nesting and scheduling model for additive manufacturing
10.1016/j.ejor.2025.03.022 · doi-reference
MILP models to minimise makespan in additive manufacturing machine scheduling problems
10.1016/j.cor.2019.01.006 · doi-reference
Environmental dimensions of additive manufacturing: Mapping application domains and their environmental implications
10.1111/jiec.12629 · doi-reference
Learning to select operators in meta-heuristics: An integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem
10.1016/j.ejor.2022.03.054 · doi-reference
Energy-aware production scheduling for additive manufacturing
10.1016/j.jclepro.2020.123183 · doi-reference
A genetic algorithm for order acceptance and scheduling in additive manufacturing
10.1080/00207543.2021.1991023 · doi-reference
A meta-heuristic for minimizing total weighted flow time on parallel batch machines
10.1016/j.cie.2018.08.009 · doi-reference
Effective heuristic for makespan minimization in parallel batch machines with non-identical capacities
10.1016/j.ijpe.2015.07.021 · doi-reference
Determination of fabricating orientation and packing in SLS process
10.1016/s0924-0136(01)00581-7 · doi-reference
A global sustainability perspective on 3d printing technologies
10.1016/j.enpol.2014.08.033 · doi-reference
A modified tabu search algorithm for the single-machine scheduling problem using additive manufacturing technology
10.5267/j.ijiec.2020.1.001 · doi-reference
Unrelated parallel batch processing machine scheduling for production systems under carbon reduction policies: NSGA-II and MOGWO metaheuristics
10.1007/s00500-023-08754-0 · doi-reference
Imitation learning-assisted evolutionary algorithm for energy-efficient flexible job shop scheduling problem with automated guided vehicles
10.1109/tevc.2025.3540105 · doi-reference
Machine scheduling with orientation selection and two-dimensional packing for additive manufacturing
10.1016/j.cor.2021.105245 · doi-reference