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 这笔赠款推动了一个研究制造系统中相关性（作为时间依赖性的代理）的性能影响的项目。该项目将识别具有明显相关性的制造系统的随机组件；将研究它们对绩效统计的影响；并将开发建模技术来捕捉相关性，无论何时存在可观的程度。潜在的随机成分包括客户需求、订单加载时间、机器故障和停机时间的随机过程。该项目将采用一种称为 TES/QTES 的新颖建模方法，该方法强调对此类随机过程中的相关性进行显式建模。 TES 过程构成了一类多功能的连续空间、离散时间随机过程，旨在同时捕获经验分布和自相关，而 QTES 本质上是 TES 的离散变体，适合分析建模。该方法将应用于制药、食品加工和微电子等各个行业，以获得性能指标的分析和/或数值解决方案。 它将进一步用于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，这项研究将产生一种新的相关性导向范式。相关分析，旨在影响制造研究和实践。研究 TES/QTES 模型有望产生更准确的制造系统分析或仿真模型以及制造系统中的相关性能预测。改进的预测将促进更有效的生产计划、调度和库存控制。研究的相关性分析的实际方面将与工业合作伙伴合作进行。从教育的角度来看，相关分析将被纳入本科生和研究生的制造相关理论和应用课程，包括仿真、生产控制、库存理论和性能分析。