Correlation Analysis of Manufacturing Systems

制造系统相关性分析

• 批准号: 9812858
• 负责人: Tayfur Altiok
• 金额: $ 38.97万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-09-01 至 2002-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9812858&HistoricalAwards=false
• 关键词: Correlation; Analysis; Manufacturing; Systems

9812858Altiok This grant fluids a project to study tile performance effects of correlations (as proxies of temporal dependence) in manufacturing systems. The project will identify random components of manufacturing systems with appreciable correlations; will study their impact on performance statistics; and will develop modeling technologies to capture correlations whenever present in appreciable magnitudes. Potential random components include stochastic processes of customer demands, order load times, machine failures and down times The project will employ a novel modeling methodology, called TES/QTES, which emphasizes explicit modeling of correlations in such stochastic processes. TES processes constittute a versatile class of continuous-space, discrete-time stochastic processes designed to capture empirical distributions and autocorreclations, simultaneously, while QTES is essentially a discretized variant of TES, suitable for analytical modeling. The methodology will be applied to various industries including pharmaceutical, food processing and microelectronics, to obtain analytical and/or numerical solutions for performance metrics. It will farther be used ti explore the impact of correlations on various manufacturing performance measures and optimal operating policies. If successful, this research will produce a new correlation-oriented paradigm. correlation analysis, designed to impact both manufacturing research and practices. The research TES/QTES models promise to yield significantly more accurate analytical or simulation models of manufacturing systems and associated performance predictions in manufacturing systems. Improved predictions will faxcilitate more effective production planning, scheduling and inventory control. The practical aspects of the researched correlation analysis will be exercised in collaboration with industrial partners. From The educational viewpoint, correlation analysis will be incorporated into undergraduate and graduate courses on manufacturing-related theory and applications, including simulation, production control, inventory theory and performance analysis.

9812858Altiok这笔赠款是一个研究一个项目，用于研究制造系统中相关性的瓷砖性能影响（作为时间依赖的代理）。该项目将确定具有明显相关性的制造系统的随机组件；将研究他们对绩效统计的影响；并将开发建模技术以捕获相关性时，只要出现可观的幅度。潜在的随机组件包括客户需求的随机过程，订单负载时间，机器故障和下降时间，该项目将采用一种新型的建模方法，称为TES/QTE，该方法强调了此类随机过程中相关性的明确建模。 TES流程构成了一类多功能的连续空间，离散的随机过程，旨在同时捕获经验分布和自传，而QTES基本上是TES的离散变体，适合分析建模。该方法将应用于包括药品，食品加工和微电子的各个行业，以获取用于性能指标的分析和/或数值解决方案。 它将探索相关性对各种制造绩效指标和最佳运营政策的影响。 如果成功，这项研究将产生新的面向相关的范式。相关分析，旨在影响制造研究和实践。研究TES/QTES模型有望在制造系统中产生更准确的分析或模拟模型，以及制造系统中相关的性能预测。改进的预测将传达更有效的生产计划，调度和库存控制。研究相关分析的实际方面将与工业伙伴合作进行。从教育角度来看，相关分析将纳入有关制造相关的理论和应用的本科和研究生课程中，包括模拟，生产控制，库存理论和绩效分析。