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Uncertainty-Aware Planning and Scheduling in the Process Industries

过程工业中的不确定性规划和调度

基本信息

批准号：
EP/M027856/1
负责人：
Lazaros Papageorgiou
金额：
$ 99.29万
依托单位：
University College London
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2015
资助国家：
英国
起止时间：
2015 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FM027856%2F1
关键词：
Uncertainty Aware Planning Scheduling Process

项目摘要

Process planning and scheduling problems are becoming increasingly complex due to the expanding production and customer base around the globe. A decision maker is continuously faced with the challenge to optimise the production plans and reduce costs under uncertainty. The uncertainty can be attributed to factors including volatile customer demands, variations in the process performance, fluctuations in socio-economics around the locations of the production plants, etc. Another complicating issue is the time-scale at which the decisions have to be taken and implemented. Not being able to effectively take these issues into account can lead to increased costs, customer dissatisfaction, loss of competitive edge and eventually shutting down of the manufacturing bases. This project aims to develop planning and scheduling tools for optimal decision-making under uncertainty while taking into account the multiple time-scales. Each process planning and scheduling problem is unique and hence one modelling and model solution tool cannot address the peculiarities of each problem. A framework where uncertainties are classified into specific categories is the key to providing cutting-edge optimal solutions. So, a problem will have a number of uncertainties which will be classified based upon our proposed framework and then for each classification the appropriate solution methodology will be invoked. A hybrid uncertainty modelling and optimisation tool that exploits the synergies of the solution techniques for various classes of uncertainty will also be developed. The novel planning and scheduling tools developed in this project will be tested on real-life case studies from process industries from a wide variety of sectors including energy systems, agrochemicals, pharmaceuticals, consumer goods, oil & gas, and industrial gases. Optimal planning and scheduling solutions based upon personalised uncertainty will be obtained.

由于全球生产和客户群的不断扩大，工艺规划和调度问题变得越来越复杂。决策者不断面临在不确定性下优化生产计划和降低成本的挑战。不确定性可归因于多种因素，包括不稳定的客户需求、过程性能的变化、生产工厂所在地周围社会经济的波动等。另一个复杂的问题是必须做出和实施决策的时间范围。如果无法有效地考虑这些问题，可能会导致成本增加、客户不满意、竞争优势丧失，并最终导致制造基地关闭。该项目旨在开发规划和调度工具，以便在不确定的情况下做出最佳决策，同时考虑到多个时间尺度。每个流程规划和调度问题都是独特的，因此一种建模和模型解决方案工具无法解决每个问题的特殊性。将不确定性分为特定类别的框架是提供前沿最优解决方案的关键。因此，一个问题将具有许多不确定性，这些不确定性将根据我们提出的框架进行分类，然后针对每个分类调用适当的解决方法。还将开发一种混合不确定性建模和优化工具，利用各种不确定性类别的解决技术的协同作用。该项目开发的新型规划和调度工具将在能源系统、农用化学品、制药、消费品、石油和天然气以及工业气体等多个领域的过程工业的实际案例研究中进行测试。将获得基于个性化不确定性的最优规划和调度解决方案。