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Integrated lot-sizing and scheduling with overlapping for multi-level capacitated production system

机译:集成的批量计划和排产计划,具有重叠功能,可用于多层生产系统

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In this paper, multi-product multi-period integrated lot-sizing and scheduling problem with a new practical condition, overlapping in operations, is discussed in a capacitated multi-stage production system. In many real situations, products are carried using pallets or conveyers, so there is no constraint to complete the entire process of products lots and then transfer them to the next stage. To consider this issue in the problem an approach, named overlapping in operations, is developed in this paper. For each product, embedded operations on the two consecutive machines can be performed due to overlapping consideration in which each operation of certain product may be overlapped with the another operation of the same product on the next machine. A novel mixed-integer programming (MIP) model is proposed for the problem to minimise the maximum makespan over the planning horizon for the corresponding production plan. The mathematical model is impractical to solve large-scale problems in reasonable time. So, two MIP-based heuristics using reduced size MIP models and simulated annealing algorithm is proposed to solve non-small instances of the problem. Moreover, a MIP method is used to validate the proposed solution approaches. The presented algorithms explore the solution space for both lot-sizing and scheduling problems. A combination of production plan and sequence that is feasible and close to optimum can be found using these algorithms. Computational experiences show that the proposed algorithms can find good quality solution for the problem in a reasonable time. The computational experiences also confirm that the makespan measure and machines utilisation rate can be improved by overlapping consideration.
机译:本文在一个容量多阶段的生产系统中,讨论了一种具有新的实际条件,操作重叠的多产品多周期集成批量计划和调度问题。在许多实际情况下,使用托盘或输送机来运送产品,因此完成产品批次的整个过程然后将其转移到下一个阶段没有任何限制。为了考虑问题中的这个问题,本文提出了一种名为“操作重叠”的方法。对于每个产品,由于重叠考虑,可以在两个连续的机器上执行嵌入式操作,其中某些产品的每个操作可能与下一台机器上同一产品的另一个操作重叠。针对该问题,提出了一种新颖的混合整数规划(MIP)模型,以最小化相应生产计划在计划范围内的最大制造周期。数学模型对于在合理的时间内解决大规模问题是不切实际的。因此,提出了两种使用缩小的MIP模型和模拟退火算法的基于MIP的启发式方法来解决问题的非小实例。此外,使用MIP方法来验证所提出的解决方案方法。提出的算法探索了批量问题和调度问题的解决方案空间。使用这些算法可以找到可行且接近最优的生产计划和顺序的组合。计算经验表明,所提出的算法可以在合理的时间内找到质量好的解决方案。计算经验还证实,通过重叠考虑,可以提高测量范围和机器利用率。

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