Multi-objective optimal scheduling of reconfigurable assembly line for cloud manufacturing
DOI10.1080/10556788.2016.1230210zbMath1364.90310OpenAlexW2524583759MaRDI QIDQ5268939
Kun Deng, Shuo Cheng, Minghai Yuan, Wanpracha Art Chaovalitwongse
Publication date: 21 June 2017
Published in: Optimization Methods and Software (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10556788.2016.1230210
schedulingoptimization modelparticle swarm optimizationcloud manufacturingreconfigurable assembly line
Multi-objective and goal programming (90C29) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30)
Cites Work
- Serial batching scheduling of deteriorating jobs in a two-stage supply chain to minimize the makespan
- Multi-criteria sequencing problem for a mixed-model assembly line in a JIT production system
- The product rate variation problem and its relevance in real world mixed-model assembly lines
- A genetic algorithm for multiple objective sequencing problems in mixed model assembly lines.
- Minimizing variation of production rates in just-in-time systems: A survey
- A multi-objective genetic algorithm for mixed-model sequencing on JIT assembly lines
- Solving a supply chain scheduling problem with non-identical job sizes and release times by applying a novel effective heuristic algorithm
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