Optimization Models for Contemporary and Sustainable Production-Distribution Systems

现代和可持续生产分配系统的优化模型

• 批准号: RGPIN-2020-04501
• 负责人: Venkatadri, Uday
• 金额: $ 2.62万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=757217
• 关键词: Optimization; Models; Contemporary; Sustainable; Production

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.

该研究项目涉及优化在先进和可持续生产分配系统中的应用。长期目标是研究工业 4.0 和超互联物流时代此类系统的设计、规划和控制问题。本发现资助提案中涉及的三个主题是当代的，并且与工业界和学术界的当前趋势相关。 该研究的第一个主题涉及工业 4.0 背景下复杂制造的生产规划和控制，例如航空航天和半导体制造。此类系统中繁重的质量要求意味着资源节点上的高度返工和重新进入，以及随机的生产率。因此，此类系统使用模拟或排队网络分析来建模，以估计所谓的清算功能，并将其嵌入基于线性规划的总体生产计划模型中。 该研究提案的第二个主题着眼于闭环供应链（CLSC）的设计，并考虑质量、预分类和碳排放。特别令人感兴趣的是预分选中心的规模和数量的决定，这可以显着降低运输成本和排放。 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、评估和运营的优化模型的开发，物理互联网是一种模块化和分布式的全球物流方法。 PI 背后的理念是使用来自称为 PI Hubs 的货运中心的模块化集装箱来利用整合机会并降低驾驶的社会成本。从经济和环境角度来看，这使得 PI 成为一个有趣的范例。 总之，该提案旨在扩展工业 4.0 和超互联物流背景下优化模型应用的最先进水平。该提案的主题1针对工业4.0的生产调度和规划，预计工业4.0将是全球化的、动态的、智能的和互联的。主题 2 涉及工业 4.0 的可持续发展维度，其目标是通过绿色流程、产品和供应链实现环境可持续制造。主题 3 进一步将这项研究扩展到物流领域，该领域与工业 4.0 非常契合，因为它是一个建立在物理、数字和运营互连性和互操作性基础上的开放式全球物流系统。因此，本研究中开发的具体优化工具和技术具有上下文重点，将扩展知识，同时保留学术研究和行业实践的相关性。对加拿大的潜在好处包括具有高影响力的国际竞争性研究计划、基于所开发工具和技术的潜在研发应用、HQP 培训以及增加女性参与 IE/OR 研究。