Systematic Mathematical Strategies for Stochastic Modeling and Uncertainty in Production Planning and Scheduling
生产计划和调度中随机建模和不确定性的系统数学策略
基本信息
- 批准号:0625515
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2006
- 资助国家:美国
- 起止时间:2006-09-01 至 2011-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
ABSTRACTPI: Marianthi Ierapetritou Institution: Rutgers UniversityProposal Number: 0625515Title: Systematic Mathematical Strategies for Stochastic Modeling and Uncertainty in Production Planning and SchedulingProject SummaryOptimization of process operations for a single production facility involves a large number of interdependent factors that need to be considered involving economic optimality, demand satisfaction, capacity limitations, production recipe, sequence dependent tasks, etc. Existing models attempt to develop a compromise between a realistic description of the problem, and available capabilities in terms of solution procedures. This project targets methodologies to deal with uncertainty in production planning. The integrated framework that is planned targets a key issue in the area of optimizing production systems, which is the problem of uncertainty. The main outcome is to provide alternative solutions to the decision maker that exhibit different characteristics in the face of uncertainty, namely expected profitability, flexibility, and robustness. To achieve this target, the following ideas will be investigated depending on the level of information available about uncertainty: Sensitivity analysis and parametric programming in the uncertainty space. New ideas will be investigated that will enable the efficient generation of parametric solutions for the case where there is not sufficient information to characterize uncertainty. Multi-objective optimization considering risk and profitability in the early decision stages that will result in solutions that balance appropriately the different objectives. This approach will be employed in the cases where there is available information to describe the uncertain parameters. The ultimate goal is to optimize the production planning operations in large-scale, single-facility production plants considering the issues of uncertainty. Realistic case studies and actual examples from petrochemical companies, fast moving consumer goods manufacturing and chemical companies will be utilized to test and verify the results of the proposed analysis tools. Broad Impact The impact of the work goes beyond specific industrial sector operations since the general ideas and findings can be applied to many types of production facilities. The dissemination of the results through the development of a web-based environment will enable better interactions with industry. Among the targets of this project is the integration of the basic concepts of process operations, results and case studies within the chemical engineering curriculum. A restructured design course and a newly introduced interdisciplinary systems engineering course will be used as integration tools.
摘要PI:Marianthi Ierapetritou机构:Rutgers University Propoposal编号:0625515TITLE:用于随机建模的系统数学策略和生产计划中的不确定性和不确定性汇总的摘要摘要,用于对单个生产的序列涉及的序列涉及的序列涉及的序列涉及的序列涉及的序列需要限制的经济性,这些策略涉及限制的经济性,并需要限制的经济性,并且需要依赖性的经济性,并且需要限制的经济性,并且需要限制的经济性,并且需要限制经济性,并且需要限制经济性,并且需要限制的经济性,并且需要限制经济性,并且需要限制经济性,并且需要依赖性。依赖任务等。现有模型试图在对问题的现实描述与解决方案过程中的可用功能之间建立妥协。该项目针对方法来应对生产计划中的不确定性。计划中的集成框架目标是优化生产系统领域的关键问题,这是不确定性的问题。主要结果是向决策者提供替代解决方案,该决策者面对不确定性,即预期的盈利能力,灵活性和鲁棒性,表现出不同的特征。为了实现这一目标,将根据有关不确定性的可用信息水平进行研究:敏感性分析和不确定性空间中的参数编程。将研究新的想法,该想法将使没有足够信息来表征不确定性的情况下有效地生成参数解决方案。 多目标优化考虑了早期决策阶段的风险和盈利能力,这将导致解决方案适当平衡不同目标的解决方案。在有可用信息来描述不确定参数的情况下,将采用此方法。最终的目标是考虑不确定性问题,在大规模的单一生产工厂中优化生产计划行动。现实的案例研究和石化公司,快速移动的消费品制造业和化学公司的实际例子将用于测试和验证拟议的分析工具的结果。广泛的影响力的影响超出了特定的工业部门运营,因为一般思想和发现可以应用于多种类型的生产设施。通过开发基于Web的环境来传播结果将使与行业更好地互动。该项目的目标之一是化学工程课程中过程操作,结果和案例研究的基本概念的整合。重组的设计课程和新引入的跨学科系统工程课程将用作集成工具。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
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Marianthi Ierapetritou其他文献
Application of flowsheet modeling for scheduling and debottlenecking analysis to support the development and scale-up of a plasma-derived therapeutic protein purification process
- DOI:
10.1016/j.bej.2024.109501 - 发表时间:
2024-12-01 - 期刊:
- 影响因子:
- 作者:
Chaoying Ding;Matthew Kujawa;Michael Bartkovsky;Maen Qadan;Marianthi Ierapetritou - 通讯作者:
Marianthi Ierapetritou
Flux balance analysis and peptide mapping elucidate the impact of bioreactor pH on Chinese hamster ovary (CHO) cell metabolism and N-linked glycosylation in the fab and Fc regions of the produced IgG
- DOI:
10.1016/j.ymben.2024.11.005 - 发表时间:
2025-01-01 - 期刊:
- 影响因子:
- 作者:
Jayanth Venkatarama Reddy;Sumit Kumar Singh;Thomas Leibiger;Kelvin H. Lee;Marianthi Ierapetritou;Eleftherios Terry Papoutsakis - 通讯作者:
Eleftherios Terry Papoutsakis
Topology-informed derivative-free metaheuristic optimization method
- DOI:
10.1016/j.compchemeng.2024.108973 - 发表时间:
2025-03-01 - 期刊:
- 影响因子:
- 作者:
Ching-Mei Wen;Marianthi Ierapetritou - 通讯作者:
Marianthi Ierapetritou
Machine learning-based optimization of a multi-step ion exchange chromatography for ternary protein separation
- DOI:
10.1016/j.compchemeng.2024.108642 - 发表时间:
2024-05-01 - 期刊:
- 影响因子:
- 作者:
Chaoying Ding;Marianthi Ierapetritou - 通讯作者:
Marianthi Ierapetritou
Effect of material properties on the residence time distribution (RTD) of a tablet press feed frame
- DOI:
10.1016/j.ijpharm.2020.119961 - 发表时间:
2020-12-15 - 期刊:
- 影响因子:
- 作者:
Ryoichi Furukawa;Ravendra Singh;Marianthi Ierapetritou - 通讯作者:
Marianthi Ierapetritou
Marianthi Ierapetritou的其他文献
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{{ truncateString('Marianthi Ierapetritou', 18)}}的其他基金
FMRG: Eco: A Systems-Enabled Paradigm Shift for Modular Sustainable Chemical Manufacturing
FMRG:Eco:系统支持的模块化可持续化学制造范式转变
- 批准号:
2134471 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Standard Grant
Supply Chain Decision Making Framework Considering Uncertainty
考虑不确定性的供应链决策框架
- 批准号:
2217472 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Standard Grant
SusChem Collaborative Research: Process Optimization of Novel Routes for the Production of bio-based Para-Xylene
SusChem 合作研究:生物基对二甲苯生产新路线的工艺优化
- 批准号:
2005905 - 财政年份:2019
- 资助金额:
-- - 项目类别:
Continuing Grant
EAGER: Cybermanufacturing: Advanced Modeling and Information Management in Pharmaceutical Manufacturing
EAGER:网络制造:药品制造中的高级建模和信息管理
- 批准号:
1547171 - 财政年份:2015
- 资助金额:
-- - 项目类别:
Standard Grant
SusChem Collaborative Research: Process Optimization of Novel Routes for the Production of bio-based Para-Xylene
SusChem 合作研究:生物基对二甲苯生产新路线的工艺优化
- 批准号:
1434548 - 财政年份:2014
- 资助金额:
-- - 项目类别:
Continuing Grant
Workshop on Process Intensification September 30-October 1, 2014, Arlington, VA
过程强化研讨会 2014 年 9 月 30 日至 10 月 1 日,弗吉尼亚州阿灵顿
- 批准号:
1450788 - 财政年份:2014
- 资助金额:
-- - 项目类别:
Standard Grant
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 - 财政年份:2012
- 资助金额:
-- - 项目类别:
Continuing Grant
Innovative methodologies for integrated planning and scheduling and industrial applications
集成规划和调度以及工业应用的创新方法
- 批准号:
0966861 - 财政年份:2010
- 资助金额:
-- - 项目类别:
Standard Grant
Commercializing of Continuous Pharmaceutical Manufacturing Technology
连续药物制造技术的商业化
- 批准号:
0951845 - 财政年份:2009
- 资助金额:
-- - 项目类别:
Standard Grant
Travel Grant: FOCAPO 2008: Multi-Scale Integration of R&D, Manufacturing, and Optimization for Enterprise-Wide Operations
旅行补助金:FOCAPO 2008:R 的多尺度整合
- 批准号:
0638947 - 财政年份:2006
- 资助金额:
-- - 项目类别:
Standard Grant
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