Extending capacity planning by positive lead times and optional overtime, earliness and tardiness for effective master production scheduling

DOI10.1080/00207540601008374zbMath1141.90422OpenAlexW1985481751MaRDI QIDQ3498906

Christos D. Tarantilis, G. I. Zobolas, George Ioannou

Publication date: 19 May 2008

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540601008374

zbMATH Keywords

ERPgenetic algorithmscapacity planningmaster production schedulingmanufacturing management

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Production models (90B30)

Related Items (1)

Heuristic approaches for master planning in semiconductor manufacturing

Cites Work

• The development of genetic algorithms for the finite capacity scheduling of complex products, with multiple levels of product structure.
• An efficient genetic algorithm for job shop scheduling with tardiness objectives.
• A heuristic approach for minimizing weighted tardiness and overtime costs in single resource scheduling
• Due date assignment using artificial neural networks under different shop floor control strategies
• A Lagrangean-Based Heuristic for Dynamic Multilevel Multiitem Constrained Lotsizing with Setup Times
• Bottleneck-focused scheduling for a hybrid flowshop
• Scheduling in dynamic assembly job-shops with jobs having different holding and tardiness costs
• Genetic algorithm based scheduling of parallel batch machines with incompatible job families to minimize total weighted tardiness
• Scheduling in flowshops to minimize total tardiness of jobs
• Rescheduling strategies for minimizing total weighted tardiness in complex job shops

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