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Adaptive decision-making strategy for supply chain systems under stochastic disruptions 随机干扰下供应链系统的自适应决策策略
IF 1.8 Q4 MANAGEMENT Pub Date : 2023-09-30 DOI: 10.17270/j.log.2023.866
Ho Van Roi, S. You, Duy Anh Nguyen, Hwan-Seong Kim
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引用次数: 0
On the use of Machine Learning Techniques and Discrete Choice Models in Mode Choice Analysis 在模式选择分析中使用机器学习技术和离散选择模型
IF 1.8 Q4 MANAGEMENT Pub Date : 2023-09-30 DOI: 10.17270/j.log.2023.845
Ouissam Benjdiya, Naoufal Rouky, Othmane Benmoussa, Mouhsene Fri
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引用次数: 0
Innovations in last mile logistics - analysis of customer satisfaction with the service of delivery logistics operators using parcel machines 最后一英里物流的创新--分析客户对使用包裹机的配送物流运营商服务的满意度
IF 1.8 Q4 MANAGEMENT Pub Date : 2023-09-30 DOI: 10.17270/j.log.2023.852
M. Brzozowska, Dorota Dziedzic, Katarzyna Kolasińska – Morawska
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引用次数: 0
Global Scale Integrated Logistics Performance Analysis and its Spillover Effect 全球规模综合物流绩效分析及其溢出效应
IF 1.8 Q4 MANAGEMENT Pub Date : 2023-06-30 DOI: 10.17270/j.log.2023.826
Gokce Manavgat, Ayhan Demi̇rci̇, Oya Korkmaz, A. Koluman
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引用次数: 0
The application of AdaBoost.M1 based on Ant Colony Optimization to classify the risk of delay in the pharmaceutical supply chain AdaBoost的应用。基于蚁群优化的药品供应链延迟风险分类
IF 1.8 Q4 MANAGEMENT Pub Date : 2023-06-30 DOI: 10.17270/j.log.2023.842
Muhammad Umar, Zhang Yu, Zikri Muhammad,Syed Abdul Rehman Khan
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引用次数: 0
Impact of Information Technology Resources on Environmental Performance: Mediating Role of Internal Green Supply Chain Integration 信息技术资源对环境绩效的影响:内部绿色供应链整合的中介作用
IF 1.8 Q4 MANAGEMENT Pub Date : 2023-06-30 DOI: 10.17270/j.log.2023.843
Syed Danial Hashmi, Iram Naz, Muhammad Atif Waqas, N. Sahar
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引用次数: 0
Research Opportunities in Textile Reverse Logistics: A Systematic Review 纺织逆向物流的研究机遇:系统回顾
IF 1.8 Q4 MANAGEMENT Pub Date : 2023-06-30 DOI: 10.17270/j.log.2023.841
Peter Davis Sumo, Philip Kofi Alimo, Stephen Agyeman, Dorris Z. Sumo, Liling Cai, Xiaofen Ji
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引用次数: 0
A Systematic Literature Review on Advances, Trends and Challenges in Project Management and Industry 4.0 项目管理和工业4.0的进展、趋势和挑战的系统文献综述
IF 1.8 Q4 MANAGEMENT Pub Date : 2023-06-30 DOI: 10.17270/j.log.2023.884
Cristian Rincón-Guio, Julieta Hernández-Ramírez, Cynthia M. Olguin, Maritza S. Pibaque-Ponce, Miguel A. Baque-Cantos, Karina L. Santistevan-Villacreses, Luz T. Cañarte-Quimis, Pablo Hernández-Lugo, Leonardo Medina
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引用次数: 0
Reverse supply chain of residual wood biomass 剩余木材生物质逆向供应链
IF 1.8 Q4 MANAGEMENT Pub Date : 2023-06-30 DOI: 10.17270/j.log.2023.799
A. Kawa
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引用次数: 0
Fuzzy evaluation method for environmental factors affecting a mobile robot's sensor system in view of Design for Logistics 基于物流设计的移动机器人传感器系统环境影响因素模糊评价方法
IF 1.8 Q4 MANAGEMENT Pub Date : 2023-06-30 DOI: 10.17270/j.log.2023.823
R. Giel, A. Dąbrowska
. Background: The paper is devoted to mobile robot design problems with a focus on exteroceptive sensor systems for operation in a mixed environment (indoor with outdoor possibility). With a view to the design for logistics, the important concerns are, among others, minimization of the number of parts, reduction of weight, and reduction of dimensions. One of the challenges that arise here is the consideration of environmental factors, which vary among different application systems. It is necessary to reach a compromise between operational requirements and costs involved. Therefore, the relevance of the environmental factors should be evaluated to divide them into those that should be addressed and those that can be ignored. This will translate into the selection of sensors in sufficient quantity to provide the requirements without excessiveness. Methods: We propose a novel three-stage method for assessing the relevance of environmental factors using fuzzy logic with occurrence, recovery, and impact level consideration. We take into account the impact level of each factor on the entire sensor system, restoration of functions lost completely or partially as a result of the factor (recovery), and the frequency of factor occurrence. Results: The identified environmental factors, evaluated in term of their relevance are hierarchized from the most to the least relevant. The application of the method is presented on the basis of an autonomous forklift for indoor and outdoor use. Conclusions: Based on the proposed method, it is possible to design a sensor system with consideration of any operation environment. The three-criteria method allows evaluation of any factor influencing sensor system on a five-point scale, both in terms of occurrence and severity (understood as impact level effect and recovery time). By evaluating the factors and thus prioritizing them using our method, only the most important factors from the designer's point of view can be taken into account. This can translate into minimizing the number of sensors and thus cost reduction and shorter implementation time.
. 背景:本文致力于移动机器人的设计问题,重点是在混合环境(室内和室外的可能性)中运行的外感传感器系统。从物流设计的角度来看,重要的问题是,除其他外,零件数量的最小化,重量的减轻和尺寸的减小。这里出现的挑战之一是要考虑环境因素,这些因素因不同的应用程序系统而异。有必要在操作需求和所涉及的成本之间达成妥协。因此,应评价环境因素的相关性,将其分为应处理的因素和可忽略的因素。这将转化为选择足够数量的传感器,以满足要求,而不会过度。方法:我们提出了一种新的三阶段方法,利用模糊逻辑来评估环境因素的相关性,并考虑了发生、恢复和影响水平。我们考虑到每个因素对整个传感器系统的影响程度,由于该因素(恢复)而完全或部分失去的功能的恢复,以及因素发生的频率。结果:已识别的环境因素,根据其相关性进行评估,从最相关到最不相关的等级。以室内和室外自动驾驶叉车为例,介绍了该方法的应用。结论:基于所提出的方法,可以设计考虑任何操作环境的传感器系统。三标准方法允许对影响传感器系统的任何因素进行五分制的评估,包括发生和严重程度(理解为影响水平效应和恢复时间)。通过评估这些因素并使用我们的方法对它们进行优先级排序,从设计师的角度来看,只有最重要的因素才能被考虑在内。这可以转化为最小化传感器的数量,从而降低成本和缩短实施时间。
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引用次数: 0
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