Optimization of economic lot scheduling problem with backordering and shelf-life considerations using calibrated metaheuristic algorithms
作者：
Highlights：
• Optimization of the economic lot scheduling problem with shelf life and backordering.
• It is allowed to produce each item more than once in every cycle.
• Allowing multiple setups leads to improving solutions.
• Four metaheuristic methods GA, SA, PSO, and ABC were used to solve the problem.
• Metaheuristic methods outperformed other reported procedures in the literature.
摘要
•Optimization of the economic lot scheduling problem with shelf life and backordering.•It is allowed to produce each item more than once in every cycle.•Allowing multiple setups leads to improving solutions.•Four metaheuristic methods GA, SA, PSO, and ABC were used to solve the problem.•Metaheuristic methods outperformed other reported procedures in the literature.
论文关键词：Economic lot scheduling problem,Genetic algorithm,Particle swarm optimization,Simulated annealing,Artificial bee colony,Taguchi
论文评审过程：Available online 10 December 2014.
论文官网地址：https://doi.org/10.1016/j.amc.2014.11.035
