【期刊】【工程管理前沿】【7.4】Frontiers of Engineering Management
Overview 概述
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Frontiers of Engineering Management(FEM), supervised by the Chinese Academy of Engineering, is an international scholarly journal for researchers and industry leaders active in cutting-edge management in all engineering specialties. The journal publishes articles on contemporary issues, both theory- and practice-oriented, in critical areas of engineering management, which
由中国工程院监督的《工程管理前沿》（Frontiers of Engineering Management，简称FEM）是一本国际学术期刊，面向活跃于所有工程专业前沿管理的研究人员和行业领导者。该杂志在工程管理的关键领域发表关于当代问题的文章，包括理论和实践导向，其中
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Advance the frontiers of knowledge and technology in engineering management.
推进工程管理的知识和技术前沿。 -
Investigate theories and practices in all areas of engineering, including manufacturing, construction, energy, environmental, traffic and logistics engineering.
研究工程所有领域的理论和实践，包括制造、建筑、能源、环境、交通和物流工程。 -
Explore engineering management methodologies focusing on systems engineering, information management, and technology and innovation management.
探索以系统工程、信息管理以及技术和创新管理为重点的工程管理方法。 -
Present comments on frontier topics in engineering management.
就工程管理中的前沿主题发表评论。 -
Introduce the management and innovation of engineering megaprojects and related technical endeavors.
介绍工程大型项目的管理和创新以及相关技术工作。
Aims and scope 目标和范围
Frontiers of Engineering Management (FEM) is dedicated to advancing the frontiers of knowledge and technology in engineering management. From international and interdisciplinary perspectives, the scope of the journal includes (but is not limited to):
Frontiers of Engineering Management （FEM） 致力于推进工程管理的知识和技术前沿。从国际和跨学科的角度来看，该杂志的范围包括（但不限于）：
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Industrial Engineering and Intelligent Manufacturing
工业工程与智能制造 -
Construction Engineering and Intelligent Construction
建筑工程与智能建筑 -
Energy and Environmental Systems
能源与环境系统 -
Traffic Engineering Systems Management
交通工程系统管理 -
Logistics Systems and Supply Chain Management
物流系统与供应链管理 -
Information Management and Information Systems
信息管理和信息系统 -
Technology and Innovation Management
技术与创新管理 -
Systems Engineering Theory and Application
系统工程理论与应用
https://media.springer.com/full/springer-instructions-for-authors-assets/docx/42524_FEM-Instructions for Authors-2023.docx
**Robust energy-efficient train speed profile optimization in a scenario-based position—time—speed network
在基于场景的位置-时间-速度网络中实现强大的节能列车速度曲线优化**
Train speed profile optimization is an efficient approach to reducing energy consumption in urban rail transit systems. Different from most existing studies that assume deterministic parameters as model inputs, this paper proposes a robust energy-efficient train speed profile optimization approach by considering the uncertainty of train modeling parameters. Specifically, we first construct a scenario-based position—time—speed (PTS) network by considering resistance parameters as discrete scenariobased random variables. Then, a percentile reliability model is proposed to generate a robust train speed profile, by which the scenario-based energy consumption is less than the model objective value at α confidence level. To solve the model efficiently, we present several algorithms to eliminate the infeasible nodes and arcs in the PTS network and propose a model reformulation strategy to transform the original model into an equivalent linear programming model. Lastly, on the basis of our field test data collected in Beijing metro Yizhuang line, a series of experiments are conducted to verify the effectiveness of the model and analyze the influences of parameter uncertainties on the generated train speed profile.
列车速度曲线优化是降低城市轨道交通系统能耗的有效方法。与大多数以确定性参数为模型输入的研究不同，该文通过考虑列车建模参数的不确定性，提出了一种鲁棒的节能列车速度曲线优化方法。具体来说，我们首先通过将阻力参数视为基于离散场景的随机变量来构建基于场景的位置-时间-速度（PTS）网络。然后，提出百分位数可靠性模型，生成鲁棒的列车速度曲线，该曲线使基于场景的能耗小于α置信水平下的模型目标值。为了有效地求解该模型，我们提出了几种算法来消除PTS网络中不可行的节点和弧，并提出了一种将原始模型转换为等效线性规划模型的模型重构策略。最后，基于我们在北京地铁亦庄线收集的现场试验数据，进行了一系列实验，验证了模型的有效性，并分析了参数不确定性对生成的列车速度剖面的影响。