Mathematical modeling and evolutionary algorithm-based approach for integrated process planning and scheduling

DOI10.1016/J.COR.2009.06.008zbMath1175.90176OpenAlexW2046617115MaRDI QIDQ1040966

Cuiyu Wang, Liang Gao, Xinyu Li, Chaoyong Zhang, Xinyu Shao

Publication date: 27 November 2009

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

Full work available at URL: https://doi.org/10.1016/j.cor.2009.06.008

zbMATH Keywords

schedulingmathematical modelevolutionary algorithmintegrated process planning and scheduling

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (10)

An object-coding genetic algorithm for integrated process planning and scheduling ⋮ Type-2 integrated process-planning and scheduling problem: reformulation and solution algorithms ⋮ A graph-based constraint programming approach for the integrated process planning and scheduling problem ⋮ A hybrid multi-objective approach for real-time flexible production scheduling and rescheduling under dynamic environment in Industry 4.0 context ⋮ An integrated approach based on fuzzy inference system for scheduling and process planning through multiple objectives ⋮ Integration of Process Planning and Scheduling with Sequence Dependent Setup Time: A Case Study from Electrical Wires and Power Cable Industry ⋮ Integrated optimization of process planning and scheduling for reducing carbon emissions ⋮ An enhanced genetic algorithm with an innovative encoding strategy for flexible job-shop scheduling with operation and processing flexibility ⋮ Solving integrated process planning, dynamic scheduling, and due date assignment using metaheuristic algorithms ⋮ Exact mathematical formulations and metaheuristic algorithms for production cost minimization: a case study of the cable industry

Cites Work

• Integration of process planning and scheduling -- a modified genetic algorithm-based approach
• A symbiotic evolutionary algorithm for the integration of process planning and job shop scheduling.
• A generalized permutation approach to job shop scheduling with genetic algorithms
• Optimisation of integrated process planning and scheduling using a particle swarm optimisation approach
• Job shop scheduling with alternative machines
• The Complexity of Flowshop and Jobshop Scheduling
• Modelling, measurement and evaluation of sequencing flexibility in manufacturing systems
• Flexible process plans: their value in flexible automation systems

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