检索结果-内蒙古大学图书馆

6th International Conference on Technology in Education, ICTE 2023

作者： Janmontree, Jettarat Zadek, Hartmut Watanabe, Woramol C. Institute of Logistics and Material Handling Systems Faculty of Mechanical Engineering Otto-Von-Guericke University Magdeburg Germany Department of Logistics and Digital Supply Chain Naresuan University Phitsanulok Thailand

ISBN: (纸本)9789819982547

This paper presents a framework to evaluate the readiness and performance of educational systems concerning Education 4.0. The proposed framework integrates the concept of Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA) methods. Pairwise comparisons were conducted by experts in education and academic areas from Germany and Thailand. After that, the DEA method was used to determine the performance value based on selected criteria. The result showcases the benchmark values of various universities from both Germany and Thailand. Overall both countries demonstrate good performance regarding Education 4.0. Nonetheless, one university from each country shows lower performance which could be improved by focusing more on the area of technology skills and personalized learning. The result of this paper contributes to improving the process of evaluating the performance and readiness of universities towards Education 4.0. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Data envelopment analysis

来源：评论

学校读者我要写书评

暂无评论

An Improved Harris Hawk Optimization Algorithm for Flexible Job Shop Scheduling Problem

引用

Computers, Materials & Continua 2024年第2期78卷 2337-2360页

作者： Zhaolin Lv Yuexia Zhao Hongyue Kang Zhenyu Gao Yuhang Qin College of Systems Engineering National University of Defense TechnologyChangsha410073China College of Information Management Nanjing Agricultural UniversityNanjing210031China Department of Intelligent Supply Chain JD LogisticsBeijing100076China College of Intelligent Science and Technology National University of Defense TechnologyChangsha410073China

Flexible job shop scheduling problem(FJSP)is the core decision-making problem of intelligent manufacturing production *** Harris hawk optimization(HHO)algorithm,as a typical metaheuristic algorithm,has been widely employed to solve scheduling ***,HHO suffers from premature convergence when solving NP-hard ***,this paper proposes an improved HHO algorithm(GNHHO)to solve the *** introduces an elitism strategy,a chaotic mechanism,a nonlinear escaping energy update strategy,and a Gaussian random walk strategy to prevent premature convergence.A flexible job shop scheduling model is constructed,and the static and dynamic FJSP is investigated to minimize the *** paper chooses a two-segment encoding mode based on the job and the machine of the *** verify the effectiveness of GNHHO,this study tests it in 23 benchmark functions,10 standard job shop scheduling problems(JSPs),and 5 standard ***,this study collects data from an agricultural company and uses the GNHHO algorithm to optimize the company’s *** optimized scheduling scheme demonstrates significant improvements in makespan,with an advancement of 28.16%for static scheduling and 35.63%for dynamic ***,it achieves an average increase of 21.50%in the on-time order delivery *** results demonstrate that the performance of the GNHHO algorithm in solving FJSP is superior to some existing algorithms.

关键词： Flexible job shop scheduling improved Harris hawk optimization algorithm(GNHHO) premature convergence maximum completion time(makespan)

来源：评论

学校读者我要写书评

暂无评论

A Multi-Agent System for Operating Hyperconnected Freight Transportation in the Physical Internet 22

A Multi-Agent System for Operating Hyperconnected Freight Tr...

引用

22nd IFAC World Congress

作者： Li, Jingze Liu, Xiaoyue Montreuil, Benoit Physical Internet Center Supply Chain and Logistics Institute H. Milton Stewart School of Industrial and Systems Engineering Georgia Institute of Technology AtlantaGA30332 United States

ISBN: (纸本)9781713872344

In the emerging Physical Internet, hyperconnected freight transportation allows using multiple short-haul drivers through hyperconnected meshed hub networks to deliver long-haul freight in multiparty multimodal relay mode. One of its core challenges lies in dynamic operational planning associated with the flows of freight, containers, carriers, and drivers to ensure agile, efficient, resilient, and sustainable performances given demand knowledge and state monitoring. In this paper, we focus on large-scale hyperconnected freight transportation, with testbed as the road-based tractor-hauler delivery of vehicles in the Southeastern USA. We propose an autonomous operating system for dynamic operational decision making from sources through hubs to destinations, including freight shipment consolidation, assignment of freight to haulers and haulers to tractors, multi-hop routing, coordination and scheduling of drivers, tractors and haulers, as well as driver-task matching based on individual prefrences. The system is based on a multi-agent network architecture, where each agent is responsible for different key operational decisions by running heuristic optimization algorithms and interacts with one another through information exchange. We provide preliminary results from simulation-based experiments encompassing vehicle delivery of a major automotive manufacturer from multiple sources, including factories, ports, and railheads, to 500+ dealers across the Southeastern United States. The analysis of results proves that each of agents can effectively and efficiently cope with the large-scale decision making and the overall proposed system is capable of operating hyperconnected freight transportation with reliable order-to-delivery performance, high hauler filling rates, and desirable environemnt friendliness, while improving quality of life by enabling truckers to be back home daily and alleviate truck driver shortage issues. Copyright © 2023 The Authors. This is an open acce

关键词： Autonomous Operating systems Complex logistics System Hyperconnected Freight Transportation Intelligent Transportation systems Large-Scale Decision Making Multi-Agent systems Physical Internet Planning and Control Problems in Freight Transportation Networks Scheduling and Optimization in Transportation systems

来源：评论

学校读者我要写书评

暂无评论

Analysis of barriers for hydrogen-fueled logistics under integrated sustainability: A DEMATEL-TOWS framework

引用

Journal of Cleaner Production 2025年 513卷

作者： Niemsakul, Jirawan Hiranmahapol, Surat Janmontree, Jettarat Zadek, Hartmut Ransikarbum, Kasin Logistics and Supply Chain Sripatum University Thailand Logistics and Material Handling Systems Otto von Guericke University Magdeburg Germany Industrial Engineering Ubonratchathani University Thailand

The renewable energy supply chain is emerging as a critical component in the transition toward sustainable energy, with hydrogen-fueled vehicles offering significant potential to reduce carbon emissions in logistics and heavy industry. However, the adoption of hydrogen-fueled industrial trucks in logistics is hindered by various barrier criteria. This study employs an integrated Decision-Making Trial and Evaluation Laboratory (DEMATEL)-SWOT-TOWS Matrix framework to systematically assess barrier criteria relevant to techno-socio-economic sustainability and formulate strategies for advancing hydrogen-powered industrial trucks. Initially, DEMATEL is employed to analyze and quantify the interdependencies among barrier criteria for hydrogen-fueled industrial trucks in logistics, identifying the most critical obstacles. Next, SWOT is used to analyze open-ended interview responses, uncovering strengths, weaknesses, opportunities, and threats associated with adopting hydrogen fuel in logistics. Finally, the TOWS matrix is used to translate these findings into actionable strategies. Finally, insights are gathered from experts across academia, industry, and government to address challenges and to ensure a balanced perspective on future policy considerations of hydrogen-based industrial trucks in the Thailand context. © 2025 Elsevier Ltd

关键词： Energy policy

来源：评论

学校读者我要写书评

暂无评论

Efficient, Fast, and Fair Voting Through Dynamic Resource Allocation in a Secure Election Physical Intranet

arXiv

引用

arXiv 2025年

作者： Zhang, Tiankuo Montreuil, Benoit Barenji, Ali V. Muthukrishnan, Praveen Physical Internet Center Supply Chain & Logistics Institute School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta United States

Resource allocations in an election system, often with hundreds of polling locations over a territory such as a county, with the aim that voters receive fair and efficient services, is a challenging problem, as election resources are limited and the number of expected voters can be highly volatile through the voting period. This paper develops two propositions to ensure efficiency, fairness, resilience, and security. The first is to leverage Physical Internet (PI) principles, notably setting up a "secure election physical intranet" (SEPI) based on open resource sharing and flow consolidation between election facilities in the territory. The second is to adopt a smart dynamic resource allocation methodology within the SEPI based on queueing networks and lexicographic optimization. A queueing model is developed to provide feasible combinations of resources and individual performances for each polling location by considering layout and utilization constraints. A two-stage lexicographic optimizer receives the queueing model’s outputs and finds an optimal solution that is less expensive, fast, and fair. A scenario-based case study validates the proposed methodology based on data from the 2020 US Presidential Election in Fulton County, Georgia, USA. © 2025, CC BY.

关键词： Queueing theory

来源：评论

学校读者我要写书评

暂无评论

Equitable Auction Design: With and Without Distributions

arXiv

引用

arXiv 2025年

作者： Wang, Ruiqin Koçyigit, Çagıl Rujeerapaiboon, Napat Department of Industrial Systems Engineering and Management National University of Singapore Singapore Luxembourg Centre for Logistics and Supply Chain Management University of Luxembourg Luxembourg

We study a mechanism design problem where a seller aims to allocate a good to multiple bidders, each with a private value. The seller supports or favors a specific group, referred to as the minority group. Specifically, the seller requires that allocations to the minority group are at least a predetermined fraction (equity level) of those made to the rest of the bidders. Such constraints arise in various settings, including government procurement and corporate supply chain policies that prioritize small businesses, environmentally responsible suppliers, or enterprises owned by historically disadvantaged individuals. We analyze two variants of this problem: stochastic mechanism design, which assumes bidders’ values follow a known distribution and seeks to maximize expected revenue, and regret-based mechanism design, which makes no distributional assumptions and aims to minimize the worst-case regret. We characterize a closed-form optimal stochastic mechanism and propose a closed-form regret-based mechanism, and establish that the ex-post regret under the latter is at most a constant multiple (dependent on the equity level) of the optimal worst-case regret. We further quantify that this approximation constant is at most 1.31 across different equity levels. Both mechanisms can be interpreted as set-asides, a common policy tool that reserves a fraction of goods for minority groups. Furthermore, numerical results demonstrate that the stochastic mechanism performs well when the bidders’ value distribution is accurately estimated, while the regret-based mechanism exhibits greater robustness under estimation errors. Copyright © 2025, The Authors. All rights reserved.

关键词： Stochastic systems

来源：评论

学校读者我要写书评

暂无评论

Application of machine learning algorithms in supply chain disruption management: an Indian MSME perspective

引用

International Journal of Industrial and systems engineering 2024年第4期48卷 487-510页

作者： Thomas, Arun Panicker, Vinay V. Midhun, R.P. Supply Chain and Systems Simulation Laboratory Department of Mechanical Engineering National Institute of Technology Calicut Kerala India Centre of Excellence in Logistics and Supply Chain Management National Institute of Technology Calicut Kerala India Terrific Minds Private Limited Infopark Kochi Kerala India

Recently, research on supply chain risk has gained more attention since disruptive events occur more frequently. Therefore, companies focus on identifying the probability of the occurrence of the disruptive event before its occurrence to develop resilient strategies. In this research, the dearth of applications of predictive modelling in risk management, particularly for the MSME sector companies has been addressed. A seasoning and flavours manufacturing company located in the southern part of India, was selected for the study. A prediction framework was developed for the prior identification of order delivery delay. A dataset having almost the same features was selected from a public repository and used for analysis. Based on the prediction priorities of the company, the average recall score is selected to evaluated the developed model. A web-based application to identify the delivery delay of orders was also developed. Copyright © 2024 Inderscience Enterprises Ltd.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

An open innovative inventory management based demand forecasting approach for the steel industry

引用

Journal of Open Innovation: Technology, Market, and Complexity 2024年第4期10卷

作者： Sukolkit, Nonthaphat Arunyanart, Sirawadee Apichottanakul, Arthit Supply Chain and Logistics Systems Research Unit Department of Industrial Engineering Faculty of Engineering Khon Kaen University Khon Kaen 40002 Thailand

This research focuses on accurately forecasting steel wire mesh demand to ensure timely order fulfillment. Various univariate time series forecasting methods were employed, including Prophet, Support Vector Regression (SVR), 1-Dimensional Convolutional Neural Network (1D-CNN), Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU), and Long Short-Term Memory (LSTM). These RNN-based models were implemented to enhance the dynamics of open innovation. The study also employed the split test method to assess the impact of data size on model performance. Following a comprehensive comparative analysis, LSTM outperformed other models at 80:20 data split ratio, achieving the lowest RMSE of 51,473 and MAPE of 1.43. The robust performance of LSTM underscores its ability to expertly predict complex demand patterns. Moreover, forecast accuracy was enhanced using ensemble models, with RNN-LSTM delivering the best results (RMSE of 45,931 and MAPE of 1.20) at the same data split ratio. This accurate forecasting supports steel wire mesh companies in making informed decisions regarding inventory management. The study additionally demonstrated the integration of forecasting results into inventory strategies to improve decision-making for cost optimization. © 2024 The Authors

关键词： Demand prediction Ensemble model Inventory optimization Machine learning Open innovation Steel wire mesh

来源：评论

学校读者我要写书评

暂无评论

supply chain Optimization Using Buy-Now-Pay-Later 24

Supply Chain Optimization Using Buy-Now-Pay-Later

引用

Proceedings of the 10th International Conference on Industrial and Business engineering

作者： Khwanporn Mahattanapreut Aussadavut Dumrongsiri Pisit Chanvarasuth Logistics and Supply Chain Systems Engineering Sirindhorn International Institute of Technology (SIIT) Thammasat University Pathumthani Thailand Management Technology Sirindhorn International Institute of Technology (SIIT) Thammasat University Pathumthani Thailand

ISBN: (纸本)9798400710742

With the increasing adoption of Buy Now, Pay Later (BNPL) payment systems, customer demand has risen significantly, particularly among younger customers. However, other key players in the supply chain, such as retailers and BNPL providers, face challenges in offering this payment option. Retailers suffer losses as a result of supplementary fees, and BNPL providers face the risk of customer default. To address these issues, this research develops a pricing model to optimize the selling price, maximizing retailer profit and BNPL provider revenue. The model incorporates key variables, including sales and service fees, transaction fees, and production costs, while factoring in demand rate, selling price, and the customer's maximum capacity to pay. Utilizing non-linear optimization through Mathematica and generating trend graphs with Python, we identify the optimal solution and provide managerial insights. The finding reveals that retailers and BNPL providers can achieve higher profitability with BNPL payments compared to general payment methods by strategically setting higher prices to support BNPL transactions. Retailers absorb the initial fees for customers choosing BNPL, allowing them to benefit from increased sales. Meanwhile, BNPL providers can further increase their revenue by adjusting interest rates or fees, setting their effective selling price slightly higher than retailers to account for the risk of covering product costs during the installment period. Moreover, progressively aligning the selling price closer to optimal values amplifies profitability for both players under BNPL. Finally, by addressing the needs of young customers with declining capacity to pay, retailers and BNPL providers offer more spending options and develop pricing strategies, delivering benefits across the entire supply chain.

关键词： Buy-Now-Pay-Later

来源：评论

学校读者我要写书评

暂无评论

Zero Trust Architecture as a Risk Countermeasure in Small–Medium Enterprises and Advanced Technology systems

引用

Risk Analysis 2025年第0期 2025 Mar 31页

作者： Abdelmagid, Ahmed M. Diaz, Rafael Department of Engineering Management and Systems Engineering Old Dominion University NorfolkVA United States Production Engineering Department Alexandria University Alexandria Egypt School of Cybersecurity Old Dominion University NorfolkVA United States School of Supply Chain Logistics and Maritime Operations Old Dominion University NorfolkVA United States

The growing sophistication of cyberattacks exposes small- and medium-sized businesses (SMBs) to a widening range of security risks. As these threats evolve in complexity, the need for advanced security measures becomes increasingly pressing. This necessitates a proactive approach to defending against potential cyber intrusions. Emerging technologies, such as blockchain, artificial intelligence, and Zero Trust security framework, offer crucial tools for strengthening the digital infrastructure of SMBs. The Zero Trust architecture (ZTA) holds significant promise as a critical strategy for protecting SMBs. While existing literature explores the implementation of ZTA in various business settings, discussions specifically addressing the financial, human resource, and capability limitations of SMBs remain scarce. Given the vital role of SMBs in the global economy, this research offers a valuable opportunity to bridge this gap and assist researchers and practitioners in enhancing the cybersecurity of SMBs through ZTA adoption by examining and classifying potential risks that may arise during the pre- and post-deployment phases of ZTA implementation within SMBs. The risks, benefits, and challenges of ZTA adoption are introduced from the unique perspective of SMBs. Practical solutions and mitigation strategies will be provided to address the identified ZT risks and streamline the migration process for SMBs. The findings of that research showed that ZTA will bolster the cybersecurity posture and reduce the cyber risk for SMBs only if they address its associated risks effectively. Future research directions underscore the need for more research to help SMBs migrate to ZTA and mitigate the risks it may pose. © 2025 The Author(s). Risk Analysis published by Wiley Periodicals LLC on behalf of Society for Risk Analysis.

关键词： Network intrusion

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：