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Model for Assembly Line Re-Balancing Considering Additional Capacity and Outsourcing to Face Demand Fluctuations

机译:装配线模型重新平衡考虑额外的容量和外包,面对面对需求波动

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The most critical stage in a garment industry is sewing process, because generally, it consists of a number of operations and a large number of sewing machines for each operation. Therefore, it requires a balancing method that can assign task to work station with balance workloads. Many studies on assembly line balancing assume a new assembly line, but in reality, due to demand fluctuation and demand increased a re-balancing is needed. To cope with those fluctuating demand changes, additional capacity can be carried out by investing in spare sewing machine and paying for sewing service through outsourcing. This study develops an assembly line balancing (ALB) model on existing line to cope with fluctuating demand change. Capacity redesign is decided if the fluctuation demand exceeds the available capacity through a combination of making investment on new machines and outsourcing while considering for minimizing the cost of idle capacity in the future. The objective of the model is to minimize the total cost of the line assembly that consists of operating costs, machine cost, adding capacity cost, losses cost due to idle capacity and outsourcing costs. The model develop is based on an integer programming model. The model is tested for a set of data of one year demand with the existing number of sewing machines of 41 units. The result shows that additional maximum capacity up to 76 units of machine required when there is an increase of 60% of the average demand, at the equal cost parameters..
机译:服装行业中最关键的阶段是缝纫过程,因为一般来说,它包括许多操作和每次操作的大量缝纫机。因此,它需要一个平衡方法,可以将任务分配给具有平衡工作负载的工作站。许多关于装配线平衡的研究假设一个新的装配线,但实际上,由于需求波动和需求增加了需要重新平衡。为了应对那些波动的需求变化,可以通过投资备用缝纫机并通过外包支付缝纫服务来进行额外的容量。本研究开发了现有线上的装配线平衡(ALB)模型,以应对波动的需求变化。如果波动需求通过对新机器和外包的投资的组合,可以考虑最大限度地减少未来空闲能力的成本,因此决定重新设计的能力重新设计。该模型的目的是最大限度地减少由运营成本,机器成本,增加容量成本,由于空闲容量和外包成本而构成的运营成本,机器成本,损失成本的总成本。模型开发基于整数编程模型。使用41个单位的现有缝纫机数量的一组需求进行测试。结果表明,当平均需求的增加60%时,额外的最大容量可达76个机器,以平均成本参数为例。

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