標(biāo)題: Titlebook: Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas ; IFIP WG 5.7 Internat Duck Young Kim,G [打印本頁(yè)] 作者: Denial 時(shí)間: 2025-3-21 16:06
書目名稱Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas 影響因子(影響力)
書目名稱Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas 影響因子(影響力)學(xué)科排名
書目名稱Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas 網(wǎng)絡(luò)公開度
書目名稱Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas 網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas 被引頻次
書目名稱Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas 被引頻次學(xué)科排名
書目名稱Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas 年度引用
書目名稱Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas 年度引用學(xué)科排名
書目名稱Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas 讀者反饋
書目名稱Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas 讀者反饋學(xué)科排名
作者: 構(gòu)成 時(shí)間: 2025-3-21 20:58
1868-4238 dvances in Production Management Systems, APMS 2022, held in Gyeongju, South Korea in September 2022..The 139 full papers presented in these volumes were carefully reviewed and selected from a total of 153 submissions. The papers of APMS 2022 are organized into two parts. The topics of special inter作者: inquisitive 時(shí)間: 2025-3-22 02:12
Computational Biomechanics for Medicinethe building blocks for defining Digital Shadows consisting of purpose, models and data. Furthermore, we suggest an implementation for the methodology as a decision support tool for the stakeholders in production control. Finally, we illustrate the use of our methodology on the basis of a exemplary use-case of production control.作者: 菊花 時(shí)間: 2025-3-22 05:37
Computational Biomechanics for Medicinet evaluation process, it is shown that it is possible to predict the geometries of jounce bumpers with our proof of concept. Finally, the results are discussed, the limitations are shown and the next steps to further improve ssthe results are reflected.作者: yohimbine 時(shí)間: 2025-3-22 12:39 作者: 有害處 時(shí)間: 2025-3-22 13:43
https://doi.org/10.1007/978-3-319-54481-6 internal processes and paved the way for the creation of a digital competence school and a startup to offer digital solutions in a practical and competitive way. The strategy adopted by the company corroborates the perspective that to take advantage of Industry 4.0 opportunities, new business models need to be considered.作者: liaison 時(shí)間: 2025-3-22 18:36
Computational Biomechanics for Medicinef parts towards the creation of an Intelligent Manufacturing Cell (IMC). The applicability of the proposed framework is validated in a car differential case study derived from the automotive industry, achieving mesh quality of 98.7%, with minimal voids based on 64 image samples.作者: 來(lái)這真柔軟 時(shí)間: 2025-3-23 00:11
Conference proceedings 2022 Production Management Systems, APMS 2022, held in Gyeongju, South Korea in September 2022..The 139 full papers presented in these volumes were carefully reviewed and selected from a total of 153 submissions. The papers of APMS 2022 are organized into two parts. The topics of special interest in the作者: IRS 時(shí)間: 2025-3-23 03:07 作者: Pamphlet 時(shí)間: 2025-3-23 08:55 作者: curettage 時(shí)間: 2025-3-23 13:41
Industry 4.0: A Case Study on Strategy and Innovation in a Brazilian Auto Parts Companyges; short-term causes, arising from more recent experience; and the immediate causes which actually led to civil war. The long-term developments may have made the wars possible, the short-term likely, but only the immediate certain.作者: 聯(lián)想 時(shí)間: 2025-3-23 15:00 作者: LUCY 時(shí)間: 2025-3-23 20:24
1868-4238 nt; Smart Supply Chain and Production in Society 5.0 Era; Service and Operations Management in the Context of Digitally-enabled Product-Service Systems; Sustain978-3-031-16409-5978-3-031-16407-1Series ISSN 1868-4238 Series E-ISSN 1868-422X 作者: 燒烤 時(shí)間: 2025-3-23 22:49
Fault Detection in Automatic Manufacturing Processes via 2D Image Analysis Using a Combined CNN–LSTMrnings) the share-selection models of Chapter 2 will give ‘correct’ share prices over various time horizons. Therefore the accuracy of the forecasting of corporate earnings is of vital importance in valuing securities and forms the major part of the work-load of investment analysts.作者: TRUST 時(shí)間: 2025-3-24 04:24
Geometric Design Process Automation with Artificial Intelligences of the century produced ‘Vitai Lampa-da’, the . and ‘Hulloa, Hulloa, Hulloa!’; but it would not in fact have added a great deal to our knowledge of the parts these all played in the popular tradition.作者: kyphoplasty 時(shí)間: 2025-3-24 07:17
Does Industry 4.0 Matter to Automotive SME Suppliers? The Role of Advanced Digital Technologies in te but from the growth and colour of the natural world, even in the play’s first half; and, in the second half, images from mythology. He suggests that this blending and interweaving is apt to a play which marries court and country (pp. 203–4).作者: Inflated 時(shí)間: 2025-3-24 14:08
https://doi.org/10.1007/978-1-4939-0745-8used for threshold calculation to detect faults. For validation and verification, we collected image datasets for two fault types; the proposed model demonstrated the highest detection accuracy with a dynamic threshold.作者: 產(chǎn)生 時(shí)間: 2025-3-24 16:45 作者: lymphoma 時(shí)間: 2025-3-24 19:54 作者: Endearing 時(shí)間: 2025-3-25 01:06 作者: 衰老 時(shí)間: 2025-3-25 03:25
Tonmoy Dutta-Roy,Adam Wittek,Karol Millernificant effectiveness when workloads are unbalanced, even in environments with high product diversity. We conclude that the proposed model could improve the productivity of real distribution centers with fewer reassignment operations.作者: 金桌活畫面 時(shí)間: 2025-3-25 07:49 作者: Ligneous 時(shí)間: 2025-3-25 15:08
Computational Biomechanics for Medicinerategizing. This goes against recommendations from several prior studies, which have emphasized the importance of I4.0 technologies in production for the future competitiveness of automotive SME suppliers. This study contributes to the discussion on how automotive SME suppliers can use I4.0 technolo作者: catagen 時(shí)間: 2025-3-25 19:17 作者: Defiance 時(shí)間: 2025-3-25 22:55
Improving Accuracy of?Time Series Forecasting by?Applying an?ARIMA-ANN Hybrid Modelsaving areas. If a single value can be identified then it can in future be used explicitly throughout the whole of the public sector to aid decision-making in all areas concerned with lifesaving. If a range emerges, then on a first assumption that all lives are equal, then we have a case for attempting to narrow the range of implied values.作者: bypass 時(shí)間: 2025-3-26 02:54 作者: 半球 時(shí)間: 2025-3-26 06:46 作者: 看法等 時(shí)間: 2025-3-26 10:00 作者: Headstrong 時(shí)間: 2025-3-26 15:19
Comparison of Machine Learning’s- and Humans’- Ability to Consistently Classify Anomalies in CylindeOverview: 作者: crucial 時(shí)間: 2025-3-26 19:56
Case-Study-Based Requirements Analysis of Manufacturing Companies for Auto-ML SolutionsOverview: 作者: Aggregate 時(shí)間: 2025-3-27 00:25 作者: white-matter 時(shí)間: 2025-3-27 04:04
Average Flow Time Estimation and Its Application for Storage Relocation in an Order Picking SystemOverview: 作者: 逃避責(zé)任 時(shí)間: 2025-3-27 07:26 作者: 戰(zhàn)勝 時(shí)間: 2025-3-27 11:09
Strategic Alignment and Industry 4.0: An Exploratory Study with Eleven CompaniesOverview: 作者: 不如屎殼郎 時(shí)間: 2025-3-27 16:46
Industry 4.0 and Supply Chain Integration: A Case Study in an Auto Parts Company in BrazilOverview: 作者: 漸強(qiáng) 時(shí)間: 2025-3-27 19:23
Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas IFIP WG 5.7 Internat作者: 爭(zhēng)吵加 時(shí)間: 2025-3-27 23:33
Conference proceedings 2022rk” Production Management in Food Supply Chains; Urban Mobility and City Logistics; Digital Transformation Approaches in Production Management; Smart Supply Chain and Production in Society 5.0 Era; Service and Operations Management in the Context of Digitally-enabled Product-Service Systems; Sustain作者: Brain-Imaging 時(shí)間: 2025-3-28 02:59 作者: 規(guī)范就好 時(shí)間: 2025-3-28 09:45 作者: 仔細(xì)閱讀 時(shí)間: 2025-3-28 11:36
IFIP Advances in Information and Communication Technologyhttp://image.papertrans.cn/a/image/149475.jpg作者: exclamation 時(shí)間: 2025-3-28 16:23
https://doi.org/10.1007/978-3-031-16407-1artificial intelligence; industry 4; 0; information technology; smart manufacturing; smart logistics作者: thwart 時(shí)間: 2025-3-28 19:42
978-3-031-16409-5IFIP International Federation for Information Processing 2022作者: fringe 時(shí)間: 2025-3-29 02:06
Computational Biomechanics for Medicine-sized manufacturers from improving forecasting accuracy, affecting overall performance. We classified products, then implemented a hybrid forecasting method and compared the outcome with Exponential smoothing, ARIMA, LSTM, and ANN forecasting techniques. Numerical results demonstrate that a selecti作者: canonical 時(shí)間: 2025-3-29 03:07 作者: 違反 時(shí)間: 2025-3-29 09:49
Lars Ole Schwen,Torben P?tz,Tobias Preusserring and quality control. Such areas include case specific requirements and restrictions that require the human expert’s knowledge and effort to apply the ML algorithms efficiently. This paper proposes a framework architecture that utilizes Automated Machine Learning (AutoML) to minimize human inter作者: Breach 時(shí)間: 2025-3-29 15:22 作者: CRUC 時(shí)間: 2025-3-29 17:45 作者: CAGE 時(shí)間: 2025-3-29 20:39 作者: 細(xì)查 時(shí)間: 2025-3-30 00:08 作者: IDEAS 時(shí)間: 2025-3-30 05:45
Tonmoy Dutta-Roy,Adam Wittek,Karol Millerpartial products and manages demand fluctuations and other dynamic order picking issues. We use the historical order picking data of a progressive zone picking system to extract features for the model. Subsequently, we train the estimation model and acquire the new storage location assignment by rel作者: 蜈蚣 時(shí)間: 2025-3-30 11:53
Computational Biomechanics for Medicine(JPS) plant in FY2020. First, an overview of the workplace, the purpose of the analysis, and the types of data used in the analysis is presented. Next, we describe the data processing methods developed in the preparatory phase of the analysis, and finally, we report the results and discussion of the作者: employor 時(shí)間: 2025-3-30 12:59
https://doi.org/10.1007/978-1-4419-5874-7al strategies, below-average results can be achieved in comparison with the market. In order to avoid this failure, investments in I4.0 must support current or explore new business strategies. The present work aims to analyze how eleven companies located in Brazil can be typified in technological tr作者: avarice 時(shí)間: 2025-3-30 17:51 作者: obligation 時(shí)間: 2025-3-30 22:59 作者: Expressly 時(shí)間: 2025-3-31 04:14
https://doi.org/10.1007/978-1-4419-9619-0less manner. This paper contributes to the ongoing research on Digital Assistance Systems. In particular, manual assembly processes in aircraft production are scrutinized to identify specific requirements for such a system. Following the resulting analysis, we propose a concept for user-centric digi作者: 軟弱 時(shí)間: 2025-3-31 05:10
Computational Biomechanics for Medicinesupporting in the decision-making. In this paper, we propose a methodology for building Digital Shadows with focus on production control. We identify the building blocks for defining Digital Shadows consisting of purpose, models and data. Furthermore, we suggest an implementation for the methodology作者: Haphazard 時(shí)間: 2025-3-31 11:46 作者: 軟弱 時(shí)間: 2025-3-31 14:48
Computational Biomechanics for Medicinelso known as Big Data Sets, are produced. Thus, techniques, in particular Machine Learning (ML) and Artificial Intelligence (AI), to utilize and organize Big Data Sets for the benefit of contemporary industries are in need. High-quality products are in great demand, especially under the framework of作者: Introvert 時(shí)間: 2025-3-31 19:17 作者: 信徒 時(shí)間: 2025-3-31 22:17 作者: 起波瀾 時(shí)間: 2025-4-1 04:46
Fault Detection in Automatic Manufacturing Processes via 2D Image Analysis Using a Combined CNN–LSTMts of corporate profitability can lead to highly profitable investment selections. This applies to both macro investment, i.e. forecasting the general level of corporate profits and making broad investment decisions relating to equities as a whole, or at the micro level where individual stock select
