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Scheduling multiple parts in hybrid flow shop robotic cells served by a single robot

机译:安排由单个机器人服务的混合流水车间机器人单元中的多个零件

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This paper addresses the robotic scheduling problem in blocking hybrid flow shop cells that consider multiple part-types, different speed parallel machines at each stage, machine eligibility constraints and a single transportation robot to move the parts between stages. Initially, a mixed integer linear programming (MILP) model is proposed to minimise the makespan. Due to the complexity of the model, a simulated annealing (SA)-based solution approach is developed to solve the problem. This approach uses both simple insertion method and a new neighbourhood structure based on block properties while generating neighbour solutions, which yields two different SA algorithms respectively. The performance of proposed SA approach is assessed over a set of randomly generated instances. The computational results demonstrate that the SA algorithm is effective with the employed neighbourhood structure for this problem.
机译:本文解决了阻塞混合流水车间单元中的机器人调度问题,该问题考虑了多个零件类型,每个阶段使用不同速度的并行机器,机器合格性限制以及一个在各个阶段之间移动零件的运输机器人。最初,提出了混合整数线性规划(MILP)模型以最小化制造期。由于模型的复杂性,开发了一种基于模拟退火(SA)的解决方案来解决该问题。该方法同时使用简单插入方法和基于块属性的新邻域结构,同时生成邻居解决方案,分别产生两种不同的SA算法。建议的SA方法的性能是在一组随机生成的实例上进行评估的。计算结果表明,该算法对所采用的邻域结构有效。

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