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首页> 外文期刊>International Journal of Production Research >A particle swarm optimisation algorithm for multi-plant assembly sequence planning with integrated assembly sequence planning and plant assignment
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A particle swarm optimisation algorithm for multi-plant assembly sequence planning with integrated assembly sequence planning and plant assignment

机译：具有集成装配序列计划和工厂分配的多工厂装配序列计划的粒子群优化算法

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摘要

In a multi-plant collaborative manufacturing system, the manufacturing and assembly operations for producing a product can be distributed at different plants at different locations. In this research, a multi-plant assembly sequence planning model is presented by integrating assembly sequence planning and plant assignment and is solved using a particle swarm optimisation (PSO) algorithm. In assembly sequence planning, the components and assembly operations are sequenced according to the operational constraints and precedence constraints to achieve assembly cost objectives. In plant assignment, the components and assembly operations are assigned to the suitable plants under the constraints of plant capabilities to achieve multi-plant cost objectives. A new PSO encoding scheme is presented in which a particle is defined by a position matrix defined by the numbers of components and plants. The PSO algorithm simultaneously performs assembly sequence planning of components and assignment of plants with an objective of minimising the total of assembly operational costs and multi-plant costs. The main contribution lies in the new multi-plant assembly sequence planning model and the new PSO solution scheme. An example product is tested and illustrated. The test results show that the presented method is feasible and efficient for solving the multi-plant assembly sequence planning problem.
机译：在多工厂协作制造系统中，用于生产产品的制造和组装操作可以分布在不同位置的不同工厂。在这项研究中，通过结合装配顺序计划和工厂分配提出了一个多工厂装配顺序计划模型，并使用粒子群优化（PSO）算法对其进行了求解。在装配顺序计划中，根据操作约束和优先约束对零部件和装配操作进行排序，以实现装配成本目标。在工厂分配中，部件和装配操作在工厂能力的约束下分配给合适的工厂，以实现多工厂成本目标。提出了一种新的PSO编码方案，其中粒子由位置矩阵定义，该位置矩阵由组件和植物的数量定义。 PSO算法同时执行组件的装配顺序计划和工厂分配，目的是最大程度地减少总装配操作成本和多工厂成本。主要贡献在于新的多工厂装配顺序计划模型和新的PSO解决方案。示例产品经过测试和说明。测试结果表明，该方法对于解决多工厂装配顺序计划问题是可行且有效的。

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