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Operations improvement in a semiconductor capital equipment manufacturing plant : resource optimization, labor flexibility, and inventory management

机译:半导体资本设备制造工厂的运营改进:资源优化,劳动力灵活性和库存管理

摘要

A semiconductor capital equipment manufacturing plant is a high-mix low-volume manufacturing environment where the complex products produced requires skilled manual assembly and expensive raw materials. The semiconductor capital equipment industry is sporadic with high demand variability and hence, semiconductor capital equipment manufacturers must be able to allocate resources to meet demand at minimum cost to maintain their manufacturing competitiveness. This thesis draws heavily on the research done at Varian Semiconductor Equipment, a manufacturer of ion implantation machines for the semiconductor industry, over a period of seven months as part of the Master of Engineering in Manufacturing program at the Massachusetts Institute of Technology and aims to enable Varian to make optimal resource allocation, capacity planning and personnel decisions that will allow it to meet demand at minimum cost. The goal of this thesis is achieved through the development of three optimization models, a labor flexibility framework, and an inventory management policy. The first optimization model, resource optimization for cost minimization, will allow Varian to determine the optimal combination of workers and assembly bays for each production process that will allow it to meet demand at minimum cost. The second optimization model, labor cost minimization, will enable Varian to determine the optimal combination of regular time and overtime that will allow it to meet demand at minimum labor cost. The final model, labor flexibility, will allow Varian to determine the optimal movement of workers that will allow the Varian's plant to meet demand with the minimum total cost of work hours to be provided. The final model is based on a labor flexibility framework introduced in this thesis. We also present an inventory management policy to manage certain assemblies produced at Varian's supermarket build area that will allow Varian to reduce those assemblies' safety stock levels by 30%.
机译:半导体资本设备制造厂是高混合小批量生产环境,其中生产的复杂产品需要熟练的手动组装和昂贵的原材料。半导体资本设备行业零星变化,需求变化很大,因此,半导体资本设备制造商必须能够以最小的成本分配资源以满足需求,以保持其制造竞争力。本文是在麻省理工学院制造工程硕士计划的一部分下,在长达七个月的时间里,大量研究了在半导体行业离子注入机制造商瓦里安半导体设备公司进行的研究,旨在使瓦里安(Varian)可以进行最佳的资源分配,容量规划和人员决策,从而以最低的成本满足需求。本文的目标是通过开发三个优化模型,一个劳动力灵活性框架和一个库存管理策略来实现的。第一个优化模型,即用于成本最小化的资源优化,将使瓦里安(Varian)为每个生产过程确定最佳的工人和装配工位组合,从而使其能够以最低的成本满足需求。第二种优化模型,即劳动力成本最小化,将使Varian确定常规时间和加班时间的最佳组合,从而使其能够以最低的劳动力成本满足需求。最终的模型,即劳动力灵活性,将使瓦里安确定最佳的工人流动方式,从而使瓦里安的工厂以最低的总工时成本满足需求。最终模型基于本文引入的劳动灵活性框架。我们还提出了库存管理政策,以管理在瓦里安超市建设区生产的某些组件,这将使瓦里安将这些组件的安全库存水平降低30%。

著录项

  • 作者

    Chengappa Lohithaksha;

  • 作者单位
  • 年度 2012
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
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