Optimization Models for Contemporary and Sustainable Production-Distribution Systems

这项研究计划涉及优化在先进和可持续的生产-分配系统中的应用。长期目标是在工业4.0和超连接物流的时代调查此类系统中的设计、规划和控制问题。这份探索基金提案中涉及的三个主题是当代的，与当前工业和学术界的趋势相关。研究的第一个主题涉及工业4.0背景下复杂制造的生产计划和控制，如航空航天和半导体制造。这种系统繁重的质量要求意味着资源节点的高度返工和返工，以及随机的生产率。这样的系统因此使用模拟或排队网络分析来建模，以估计所谓的结算函数，并将它们嵌入基于线性规划的综合生产计划模型中。这项研究提案的第二个主题着眼于考虑质量、预分类和碳排放的闭环供应链(CLSC)的设计。特别令人感兴趣的是关于预售中心的规模和数量的决定，这可以大大减少运输成本和排放量。本研究提案的第三个也是最后一个主题涉及物理互联网(PI)中设计、评估和操作的优化模型的开发，这是一种模块化和分布式的全球物流方法。PI背后的想法是使用来自发货中心的模块化集装箱，称为PI枢纽，以利用整合机会并降低驾驶的社会成本。这使得PI从经济和环境的角度来看都是一个有趣的范例。总而言之，这项建议旨在扩大最先进的优化模型在工业4.0和超级互联物流背景下的应用。本提案的主题1针对的是工业4.0的生产调度和计划，预计将是全球性的、动态的、智能的和互联的。主题2涉及工业4.0的可持续性方面，其目标是通过绿色工艺、产品和供应链实现环境可持续的制造。主题3进一步将这项研究扩展到物流领域，从某种意义上说，它与行业4.0非常一致，因为它是一个开放的全球物流系统，建立在物理、数字和运营互连和互操作性的基础上。因此，在这项研究中开发的具体优化工具和技术具有背景重点，将扩展知识，同时保持学术研究和行业实践的相关性。对加拿大的潜在好处包括高影响力的具有国际竞争力的研究计划，基于开发的工具和技术的潜在研发应用，HQP的培训，以及增加妇女参与IE/OR研究。

This research program deals with the applications of optimization in advanced and sustainable production-distribution systems. The long-term objective is to investigate design, planning, and control issues in such systems in an era of Industry 4.0 and Hyperconnected Logistics. The three themes addressed in this Discovery Grant proposal are contemporary and relevant to current trends in industry and academia. The first theme of the research pertains to production planning and control for complex manufacturing in Industry 4.0 contexts such as aerospace and semiconductor manufacturing. The onerous quality requirements in such systems imply a high degree of rework and reentry at resource nodes, combined with a stochastic rate of production. Such systems are therefore modelled using either simulation or queuing network analysis to estimate what are known as clearing functions and embedding them in linear programming based aggregate production planning models. The second theme of this research proposal looks at the design of closed loop supply chains (CLSCs) with quality, pre-sorting and carbon emission considerations. Of particular interest is the decision on the size and number of presorting centres which can significantly reduce transportation costs and emissions. The third and final theme of this research proposal deals with the development of optimization models for design, evaluation, and operations in the Physical Internet (PI), a modular and distributed approach to global logistics. The idea behind PI is the use of modular containers from shipment centres called PI Hubs to exploit consolidation opportunities and reduce social costs of driving. This makes PI an interesting paradigm from both the economic and environmental perspectives. In summary, this proposal aims to extend the state-of-the-art in the application of optimization models in the Industry 4.0 and Hyperconnected Logistics context. Theme 1 of this proposal is aimed at production scheduling and planning in Industry 4.0 which is expected to be global, dynamic, smart, and connected. Theme 2 addresses the sustainability dimension of Industry 4.0 whose goal is environmentally-sustainable manufacturing through green processes, products, and supply chains. Theme 3 further extends this research to the logistics realm which aligns itself well with Industry 4.0 in the sense that it is an open global logistics system founded on physical, digital, and operational interconnectivity and interoperability. The specific optimization tools and techniques developed in this research thus have a contextual focus and will expand knowledge while retaining both academic research and industry practice relevance. The potential benefits to Canada include a high-impact internationally competitive research program, potential R&D applications based on the tools and technologies developed, training of HQP, and an increase in participation of women in IE/OR research.