Integration of scheduling and control using closed loop implementation

使用闭环实现集成调度和控制

• 批准号: 1159244
• 负责人: Marianthi Ierapetritou
• 金额: $ 22.82万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-04-15 至 2018-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1159244&HistoricalAwards=false
• 关键词: Integration; scheduling; control; using; closed

1159244IerapetritouSummary: Given the strenuous economic environment and the fierce competition that almost all industrial sectors have to face, a lot of research and development have recently focused on advanced manufacturing. The initiative that the president announced this summer to invest $500M on the Advanced Manufacturing Partnership (AMP) points in this direction. More specifically this effort targets the collaboration of industry, universities, and the federal government "to invest in emerging technologies such as information technology, biotechnology, and nanotechnology". There are already some steps towards this direction that aim in reducing the time to the market and increasing the efficiency of manufacturing processes. This proposal's objective is to develop approaches that can lead to more efficient product operations by incorporating the process dynamics into the production scheduling problem. The full coupling of process control and production scheduling can substantially increase production feasibility and optimality. However, simultaneous consideration of process control and scheduling problems is currently plagued by (a) the lack of communication between the associated research communities; (b) its computational intensity, and (c) the inherently complex nature of manufacturing processes.Intellectual Merit: We propose an integrated approach to address the problem of scheduling considering a closed loop implementation of control in a process level. This will result in more efficient utilization of resources most importantly in the face of disturbances. However the incorporation of control within the already complex scheduling problem results in a very difficult problem and conventional solution methods turn out to be inefficient. The main outcome we are targeting is to provide the decision maker solutions that are optimal in terms of production capacity and feasible in terms of process dynamics in the face of disturbance.To achieve this target, the following ideas will be investigated:1. Integration of closed loop control with short term scheduling following the basic idea of Model Predictive Control (MPC) strategy.2. Investigation of MPC integration using multi-parametric programming.3. Investigation of efficient solution methodologies for the integrated scheduling andcontrol problem.Broader Impact: The ultimate goal of this work is to optimize the production scheduling considering the details of process dynamics. Realistic case studies from chemical and pharmaceutical manufacturing will be utilized to test and verify the results of the proposed analysis tools. The impact of the proposed work goes beyond specific industrial sector since the general ideas and findings can be applied or extended to different types of production facilities. The educational component of the proposed work involves one graduate and two undergraduate students. Funding for the undergraduate students would be pursued through REU initiative. Students affiliated with program SUPER (Science for Undergraduates a Program for Excellence in Research) of Douglass College of Women will be actively involved with this project.

1159244ierapetritosummary：鉴于几乎所有工业部门都必须面对的艰苦经济环境和激烈的竞争，许多研究和发展最近都集中在先进的制造业上。总统在今年夏天宣布将5亿美元投资于高级制造合作伙伴（AMP）积分的倡议。更具体地说，这项工作针对行业，大学和联邦政府的合作，以“投资于信息技术，生物技术和纳米技术等新兴技术”。已经有一些朝着这个方向发展的步骤，旨在减少市场的时间并提高制造过程的效率。该提案的目标是开发可以通过将流程动态纳入生产调度问题的方法来导致更有效的产品运营的方法。过程控制和生产计划的完整耦合可以大大提高生产的可行性和最佳性。但是，目前（a）相关研究社区之间缺乏沟通，同时考虑过程控制和调度问题的同时考虑； （b）其计算强度，以及（c）制造过程的固有复杂性质。智能优点：我们提出了一种综合方法，以解决计划在过程级别中进行控制的封闭循环实施的计划问题。面对干扰，这将导致更有效地利用资源。但是，在已经复杂的调度问题中纳入控制的结果非常困难，传统的解决方案方法效率低下。我们目标的主要结果是提供决策者解决方案，这些解决方案在生产能力方面是最佳的，并且在面对干扰时在过程动态方面是可行的。要实现这一目标，将研究以下想法：1。按照模型预测控制（MPC）策略的基本思想的基本思想的短期调度的封闭环控制集成。2。使用多参数编程研究MPC集成。3。对集成调度和控制问题的有效解决方案方法的研究。BRODER的影响：这项工作的最终目标是考虑过程动态细节的生产计划。化学和药物制造的现实案例研究将用于测试和验证所提出的分析工具的结果。拟议工作的影响超出了特定的工业部门，因为一般思想和发现可以应用或扩展到不同类型的生产设施。拟议工作的教育部分涉及一名研究生和两名本科生。 REU倡议将为本科生提供资金。 Douglass女性学院将隶属于Super计划的学生（本科生的科学卓越研究计划）将积极参与该项目。