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INTELLIGENT DEMAND FORECASTING APPROACHES FOR SPARE PARTS IN THE ENERGY INDUSTRY

International Journal of Industrial engineering : Theory Applications and Practice 2024年第3期31卷 560-576页

作者： Tsao, Yu-Chung Yaqin, Alvin Lu, Jye-Chyi Kurniati, Nani Pujawan, Nyoman Department of Industrial Management National Taiwan University of Science and Technology Taipei Taiwan Artificial Intelligence for Operations Management Research Center National Taiwan University of Science and Technology University Taipei Taiwan School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta United States Department Industrial Engineering Institut Teknologi Sepuluh Nopember Jawa Timur Indonesia

In this study, two intelligent demand forecasting approaches are used to forecast the spare parts demand in the energy industry. In the first approach, a stacked generalization-based demand forecasting technique that combines traditional time-series forecasting and machine-learning methods is developed. In the second approach, external information (EI) is incorporated into the first one. Thus, the stacked generalization-based demand forecasting technique is used as a base model, and the EI is used to focus on predicting the peak demand;consequently, significant forecast errors can be minimized. A case study of a natural gas liquefaction company is then considered to test the performance of these methodologies. Our results show that the proposed techniques perform significantly better than the previous methods. Compared with the mean absolute scaled error and relative geometric root mean squared error of the company's forecasts, our intelligent demand forecasting approaches yield a 40.07% (36.81%) and 2.07% (3.40%) increase in butterfly-valve demand forecasting (spiral wound gasket) when no EI is used, and a 57.78% (60.41%) and 5.73% (7.36%) improvement with EI, respectively. © 2024 University of Cincinnati. All rights reserved.

关键词： Machine learning

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Submodular Participatory Budgeting 1

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18th International Conference on Algorithmic Aspects in Information and management, AAIM 2024

作者： Yuan, Jing Tang, Shaojie Department of Computer Science and Engineering University of North Texas Denton United States Department of Management Science and Systems School of Management University at Buffalo Buffalo United States

ISBN: (数字)9789819777983

ISBN: (纸本)9789819777976

Participatory budgeting refers to the practice of allocating public resources by collecting and aggregating individual preferences. Most existing studies in this field often assume an additive utility function, where each individual holds a private utility for each candidate project, and the total utility of a set of funded projects is simply the sum of the utilities of all projects. We argue that this assumption does not always hold in reality. For example, building two playgrounds in the same neighborhood does not necessarily lead to twice the utility of building a single playground. To address this, we extend the existing study by proposing a submodular participatory budgeting problem, assuming that the utility function of each individual is a monotone and submodular function over funded projects. We propose and examine three preference elicitation methods and analyze their performances in terms of distortion. Notably, if the utility function is additive, our aggregation rule designed for threshold approval votes achieves a better distortion than the state-of-the-art approach. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Budget control

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Analysis of community question-answering issues via machine learning and deep learning:State-of-the-art review

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CAAI Transactions on Intelligence Technology 2023年第1期8卷 95-117页

作者： Pradeep Kumar Roy Sunil Saumya Jyoti Prakash Singh Snehasish Banerjee Adnan Gutub Department of Computer Science and Engineering Indian Institute of Information TechnologySuratIndia Indian Institute of Information Technology DharwadIndia Department of Computer Science and Engineering National Institute of TechnologyPatnaIndia The York Management School University of YorkYorkUK Computer Engineering Department College of Computer&Information SystemsUmm Al-Qura UniversityMakkahSaudi Arabia

Over the last couple of decades,community question-answering sites(CQAs)have been a topic of much academic *** have often leveraged traditional machine learning(ML)and deep learning(DL)to explore the ever-growing volume of content that CQAs *** clarify the current state of the CQA literature that has used ML and DL,this paper reports a systematic literature *** goal is to summarise and synthesise the major themes of CQA research related to(i)questions,(ii)answers and(iii)*** final review included 133 *** research themes include question quality,answer quality,and expert *** terms of dataset,some of the most widely studied platforms include Yahoo!Answers,Stack Exchange and Stack *** scope of most articles was confined to just one platform with few cross-platform *** with ML outnumber those with ***,the use of DL in CQA research is on an upward trajectory.A number of research directions are proposed.

关键词： answer quality community question answering deep learning expert user machine learning question quality

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Cloud ERP systems architectural challenges on cloud adoption in large international organizations: A sociomaterial perspective

Cloud ERP systems architectural challenges on cloud adoption...

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2022 International Conference on ENTERprise Information systems, CENTERIS 2022 - International Conference on Project management, ProjMAN 2022 and International Conference on Health and Social Care Information systems and Technologies, HCist 2022

作者： Paulsson, Victoria Johansson, Björn Department of Management and Engineering Division of Information Systems and Digitalisation LinköpingSE-581 83 Sweden

This combined literature review and case employs a sociomaterial perspective to explore architectural challenges and countermeasures that BioOrganism, the case company, should consider in a decision to adopt a cloud enterprise resource planning (ERP) system. The case has experiences with an on-premises model, but not the cloud model per se. The study is designed with an element of case to provide a solid backdrop toward the sociomaterial perspective, which focuses on a reciprocal enactment between the cloud ERP systems architecture and the BioOrganism contextual surrounding. Six architecture challenges were identified: (1) data security, (2) data privacy, (3) network dependency, (4) system mobility, (5) vendor lock-in, and (6) scalability. Countermeasures that BioOrganism, and other large international organizations of similar nature, can take to mitigate risks from the six challenges are presented in the review. © 2022 The Authors. Published by ELSEVIER B.V.

关键词： Cloud computing architecture

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Development of Parallel Charge Transfer Path Using Non-Isolated Active Half-Bridge Charge Balancing Architecture

Development of Parallel Charge Transfer Path Using Non-Isola...

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2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2023

作者： Ramesh, P. Sahoo, Jyotirmaya Patra, Amit Kastha, Debaprasad Indian Institute of Technology Battery Management and Integrated Systems Lab Electrical Engineering Department Kharagpur India

ISBN: (纸本)9798350310573

The design and control of the active charge balancing (ACB) architecture are critical functions of the battery management system (BMS) in lithium-ion battery applications. In recent years, multi-active half-bridge architecture has gained attention in energy storage applications. Similar architectures can be used in these applications due to their inherent soft switching ability and faster-balancing operation. However, they face the issue of power density and higher development costs. A nonisolated multi-active charge balancing circuit has been proposed in this paper to enhance the power density with reduced cost, and detailed modeling with operational analysis of the circuit is presented. © 2023 IEEE.

关键词： Active Charge Balancing (ABC) circuits Battery management System (BMS) Capacitor voltage Multi-Active Half-Bridge (MAHB)

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Designing a cellular manufacturing system as a step toward creating sustainable cells under uncertain demand condition

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Journal of Remanufacturing 2025年第1期15卷 151-177页

作者： Almasarwah, Najat Abdelall, Esraa Bhutta, Mohammed Khurrum S. Saraireh, Mohammad Department of Industrial Systems Engineering Mutah University Alkarak 61710 Jordan Industrial Engineering Department Jordan University of Science and Technology P.O. Box 3030 Irbid 22110 Jordan Department of Management College of Business Ohio University Athens 45701 OH United States Department of Computer Engineering Mutah University Alkarak 61710 Jordan

This paper focuses on designing a cellular manufacturing system as a step toward creating sustainable cells. The proposed design aims to manufacture final products and remanufacture the returned products to diminish waste, where the return rate for each product is known. Firstly, the product families are formed using the uncapacitated mathematical model. Secondly, a nonlinear stochastic mathematical model is utilized for the propounded design as a step toward creating sustainable cells, where machine duplications are allowed. Besides, a simulation model is developed to handle the uncertainty in demand. Further, the performance of the proposed design with flexible cells is compared to regular cells. The results explain the ability of the proposed design to minimize the total number of machines. Furthermore, allowing machine duplication in the proposed design enhances the system flexibility;thus, machine breakdown will not impact system performance. The total number of machines required to cover the demand increases as the risk level of demand cover decreases. Therefore, the average waiting time and average work in process increase. © The Author(s), under exclusive licence to Springer Nature B.V. 2025.

关键词： Designing a cellular manufacturing system as a step toward creating sustainable cells Flexible cells Nonlinear mathematical model Simulation Stochastic demand

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The Journey/DAO/TAO of Embodied Intelligence: From Large Models to Foundation Intelligence and Parallel Intelligence

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1313-1316页

作者： Tianyu Shen Jinlin Sun Shihan Kong Yutong Wang Juanjuan Li Xuan Li Fei-Yue Wang College of Information Science and Technology Beijing University of Chemical TechnologyBeijing 100029China School of Electrical and Information Engineering Jiangsu UniversityZhenjiang 212013China State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and RoboticsCollege of EngineeringPeking UniversityBeijing 100871China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Peng Cheng Laboratory Shenzhen 518000China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China IEEE

THE tremendous impact of large models represented by ChatGPT[1]-[3]makes it necessary to con-sider the practical applications of such models[4].However,for an artificial intelligence(AI)to truly evolve,it needs to possess a physical“body”to transition from the virtual world to the real world and evolve through interaction with the real *** this context,“embodied intelligence”has sparked a new wave of research and technology,leading AI beyond the digital realm into a new paradigm that can actively act and perceive in a physical environment through tangible entities such as robots and automated devices[5].

关键词： Intelligence DAO TAO

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Industry 5.0 in Healthcare: An Integrated Framework for Human-Centered Prosthetics Design and Manufacturing

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Procedia Computer Science 2025年 253卷 3288-3297页

作者： Giuseppina Ambrogio Carmine Borgia Marco Bortolini Gerardo Catapano Domenico Conforti Luigi De Napoli Francesco Gagliardi Francesco Gabriele Galizia Rosita Guido Francesco Longo Federica Mirabelli Giovanni Mirabelli Domenico Mundo Alberto Regattieri Maria Rosaria Saffioti Gabriele Scordamaglia Vittorio Solina Domenico Umbrello Pierpaolo Veltri University of Calabria Department of Mechanical Engineering Energy Engineering and Management Engineering Italy University of Bologna Department of Industrial Engineering Italy University of Calabria Department of Computer Engineering Modeling Electronics and Systems Engineering Italy

Industry 5.0 emphasizes human-centric approaches in technological advancement, particularly crucial in healthcare applications such as prosthetics development. While individual technologies like additive manufacturing, machine learning, digital twins, and tissue engineering have shown promise in prosthetics innovation, their integration remains a significant challenge. This paper presents a novel multidisciplinary framework developed through the National Centre for High-Performance Computing (CN-HPC) project, which addresses the gap between individual technological capabilities and their coordinated application in personalized prosthetics development. The framework, implemented through collaboration between six research groups from two universities, employs the House of Quality methodology to align technological integration with patient needs. Our approach encompasses a comprehensive seven-step process, from initial patient requirements definition through virtual modeling, production process optimization, virtual sensing, machine learning enhancement, digital twin simulation, to advanced tissue engineering. A data model facilitates seamless information exchange between different technological domains and research groups. This research contributes to the field by providing a scalable, human-centered framework for technology integration in medical device development, potentially extending beyond prosthetics to other healthcare applications. The proposed framework represents a significant step toward realizing the full potential of Industry 5.0 in healthcare manufacturing through the systematic integration of advanced technologies for delivering personalized prosthetic solutions.

关键词： Industry 5.0 Human-Centricity Prosthesis Healthcare House of Quality

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METHODS AND TOOLS FOR STRATEGIC ENVIRONMENTAL IMPACT ASSESSMENT (EIA) 24

METHODS AND TOOLS FOR STRATEGIC ENVIRONMENTAL IMPACT ASSESSM...

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24th International Multidisciplinary Scientific Geoconference: Ecology, Economics, Education and Legislation, SGEM 2024

作者： Zyder, Václav Hubáček, Jaroslav Grycz, Ondřej Raszka, Lukáš Faculty of Materials Science and Technology Department of Industrial Systems Management VSB - Technical University of Ostrava Czech Republic Faculty of Economics Department of Systems Engineering VSB Technical University of Ostrava Czech Republic

ISBN: (纸本)9786197603743

The article deals with methods and tools for strategic environmental impact assessment (EIA) in the context of the CEVYKO project, whose facility capacity is 100,000 t/year of processed mixed, separated and bulky municipal waste. Only category O waste (other waste) will be processed. In the introduction, the basic principles and legal framework of EIA are presented, including their importance for sustainability and environmental protection. Subsequently, the specific methods used in the evaluation of projects with a high environmental impact, such as CEVYKO, are described, including risk analysis, impact modeling and evaluation of alternatives. The article also focuses on data collection and analysis tools that enable accurate predictions of environmental impacts and effective mitigation planning. In the conclusion, the results of the EIA for the CEVYKO project are discussed, including the identified key environmental impacts and proposed measures for their minimization. The study highlights the importance of a comprehensive and integrated approach to EIA, which includes all relevant aspects of waste management and contributes to sustainable development. © 2024 International Multidisciplinary Scientific Geoconference. All rights reserved.

关键词： Environmental monitoring

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Intelligent Water Quality management in Maturation Tanks for Penaeus Monodon Using Fuzzy Logic 8

Intelligent Water Quality Management in Maturation Tanks for...

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8th International Conference on Business and Industrial Research, ICBIR 2023

作者： Chua, Abraham Imperial, Eian David Mababangloob, Giolo Rei Tinhay, Jose Benito Concepcion, Ronnie De la Salle University Department of Manufacturing Engineering and Management Manila Philippines De la Salle University Center for Engineering and Sustainability Development Research Intelligent Systems Laboratory Department of Manufacturing Engineering and Management Manila Philippines

ISBN: (纸本)9798350399646

With the global population expected to grow considerably in the upcoming years, global food production should also keep up with the growing demand. Rapid and uncontrolled food production can potentially affect aquaculture methods. Such impact leads to the destruction of habitats and neglect of maintaining tanks, ponds, water, and feed. Thus, the health status of stocks has been reported as causing bacteria and viral infections to exploit poor water maintenance. This study developed and examined the efficacy of using Mamdani fuzzy logic controllers on water quality management for aquaculture, specifically in Penaeus monodon cultivation. MATLAB was used to model the Fuzzy Inference systems (FIS) consisting of x rules based on the combinations of highly significant water parameters, particularly temperature, dissolved oxygen, salinity, and pH level. The FIS was then simulated in Simulink, wherein the fuzzy controllers were capable of sending a signal to different pumps that would optimize the said water parameters. Overall, this study provides strong support for the effectiveness of fuzzy logic to automatically adjust water parameters and reducing the need for human inputs. © 2023 IEEE.

关键词： Aquaculture

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