...
首页> 外文期刊>IEEE transactions on automation science and engineering >Integration of Process-Oriented Tolerancing and Maintenance Planning in Design of Multistation Manufacturing Processes
【24h】

Integration of Process-Oriented Tolerancing and Maintenance Planning in Design of Multistation Manufacturing Processes

机译:面向过程的公差和维护计划在多站制造过程设计中的集成

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Manufacturing systems are inherently imperfect both statically and dynamically. Tolerance and maintenance design are two major tools to address the static and dynamic imperfection of manufacturing processes (i.e., inherent process imperfection and tooling deterioration, respectively). Yet, traditionally, tolerance and maintenance designs have been studied separately to address these two critical areas of manufacturing systems. This paper presents an integrated framework of tolerance and maintenance design for multistation manufacturing processes. Two nonlinear optimization problems are formulated to minimize the overall average production cost in the long run, which includes the tolerance cost of tooling fabrication, maintenance cost, and the overall loss of quality (as a part of the objective function or as a constraint function). The proposed methodology is illustrated, analyzed, and further discussed in the context of a multistation automotive body assembly process. Extensive numerical analyses are conducted to demonstrate the efficiency of the developed methodology. Given various cost components and time horizons, the integrated design scheme is compared with traditional design schemes in terms of cost efficiency, offering new insights into the interrelation between manufacturing process maintenance and tolerancing in the context of the product life cycle. Note to Practitioners—With intensified competition as a result of economic globalization, quality and cost have become crucial factors to the success of any manufacturing industry. Decisions in the process design phase, such as process tolerance assignment and maintenance planning, play a substantial role for overall manufacturing quality and costs. Tolerance of process variables determines the inherent variation level of a manufacturing process. Preventive maintenance oversees and controls process degradation and its resulting deterioration on product quality. Significant tooling and operational costs result from both tolerancing and maintenance activities. Traditionally, tolerancing and maintenance decision-making have been studied separately. Tolerancing was mainly conducted during the design stage; while maintenance policy was often determined after a manufacturing system was - designed and installed. However, tolerancing of process variables and maintenance decision-making policy are interconnected in modern manufacturing systems. Intuitively, tight initial tolerances specified on process variables are able to reduce the frequency of conducting maintenance during production, since the process can accommodate more deterioration to reduce maintenance cost; but they take a toll on tolerance cost. On the other hand, loose initial tolerances specified on process variables can lower design cost but increase the frequency of maintenance during production. Hence, there is a critical need to strike a balance between the tolerance cost of tooling fabrication and the maintenance cost of tooling replacement. This paper presents a new framework to integrate tolerance design and maintenance planning for multistation manufacturing processes. Optimization problems are formulated to minimize the overall production costs including tooling costs, maintenance costs, and quality loss. The proposed framework is illustrated in the context of automotive body assembly processes. When compared to other separated designs, this integrated design methodology leads to more desirable system performance with a significant reduction in production cost.
机译:制造系统固有地在静态和动态上都不完美。公差和维护设计是解决制造过程中静态和动态缺陷的两个主要工具(即,固有的过程缺陷和工具劣化)。然而,传统上,公差和维护设计是分别研究的,以解决制造系统的这两个关键领域。本文提出了用于多工作站制造过程的公差和维护设计的集成框架。提出了两个非线性优化问题,以从长远来看最大程度地降低总体平均生产成本,其中包括模具制造的公差成本,维护成本和整体质量损失(作为目标函数的一部分或作为约束函数的一部分) 。在多工位汽车车身组装过程的背景下,对所提出的方法进行了说明,分析和进一步讨论。进行了广泛的数值分析,以证明所开发方法的效率。考虑到各种成本要素和时间跨度,将集成设计方案与传统设计方案在成本效率方面进行了比较,从而提供了对产品生命周期中制造过程维护与公差之间的相互关系的新见解。从业人员注意—随着经济全球化带来的激烈竞争,质量和成本已成为任何制造业成功的关键因素。工艺设计阶段的决策,例如工艺公差分配和维护计划,对整体制造质量和成本起着重要作用。工艺变量的公差决定了制造工艺的固有变化水平。预防性维护监督和控制过程退化以及由此导致的产品质量下降。公差和维护活动都会导致大量的工具和运营成本。传统上,公差和维护决策是分开研究的。公差主要在设计阶段进行;而维护政策通常是在设计和安装制造系统后确定的。但是,在现代制造系统中,过程变量的容差和维护决策策略是相互联系的。从直觉上讲,对过程变量指定的严格的初始公差可以减少生产过程中进行维护的频率,因为过程可以适应更多的恶化情况,从而降低维护成本。但是他们付出了宽容的代价。另一方面,在过程变量上指定的宽松初始公差可以降低设计成本,但会增加生产期间的维护频率。因此,迫切需要在工具制造的公差成本和工具更换的维护成本之间取得平衡。本文提出了一个新的框架,该框架将公差设计和维护计划集成到多站制造过程中。制定了优化问题以最大程度地降低包括模具成本,维护成本和质量损失在内的总体生产成本。在车身组装过程的背景下说明了所提出的框架。与其他分离的设计相比,这种集成设计方法可带来更理想的系统性能,并显着降低生产成本。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号