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Literature Review of Scheduling Problems Using Artificial Intelligence Technologies Based on Machine Learning 10th

Literature Review of Scheduling Problems Using Artificial In...

引用

10th International Conference on Design and Modeling of mechanical Systems (CMSM)

作者： Hassan, Aicha Triki, Hager Trabelsi, Hassen Haddar, Mohamed Univ Sfax Natl Sch Engineers Sfax Mech Modelling & Prod Lab LA2MP Sfax Tunisia

ISBN: (纸本)9783031671517;9783031671524

Traditional approaches face significant challenges when it comes to planning and managing real-time workshop production, particularly in the context of handling large volumes of data. This is where the recent advancements in artificial intelligence truly come into play, with more sophisticated algorithms that enable immediate responses to unforeseen events and frequent disruptions within manufacturing systems. In contrast, conventional methods exhibit notable limitations compared to techniques like machine learning and deep reinforcement learning. These limitations manifest in various aspects, including sensitivity to parameters, convergence speed, the ability to comprehensively explore the search space, and performance in handling non-standard problems or adapting to changes in problem characteristics and constraints. On the other hand, the mentioned new tools offer a multitude of significant advantages, including high learning capability, improved performance in solving complex problems, seamless integration with other techniques, more efficient exploration of complex search spaces, and dynamic adaptability in response to changes in problems or the environment.

关键词： Scheduling Problems Machine Learning Deep Reinforcement Learning

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Sheet Metal Forming Tooling- State of Art and Practice in Five Manufacturing Companies 1

引用

33rd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Menon, Aju Sukumaran Stolt, Roland Elgh, Fredrik Jonkoping Univ Sch Engn Gjuterigatan 5 S-55318 Jonkoping Sweden

ISBN: (数字)9783031744853

ISBN: (纸本)9783031744846;9783031744853

There are several recent developments in technology and methods for the design, manufacture and operation of tooling for sheet metal forming. Technologies such as electric presses with accurately controlled motions and design tools such as forming simulations and AI technologies for knowledge capture and reuse are actively progressing. Manufacturing processes such as additive manufacturing and materials are advancing. There are advancements in the operation of the tooling via for example sensor technology. In this paper, a structured literature search is presented to understand the state of the art in sheet metal forming tooling. In addition, the paper presents an interview study with staff and management from five different industrial companies that are active in tooling design, manufacture, and operation. The objective is finding the current challenges for the companies and to what extent new technologies and methods are considered or being implemented to meet the current challenges. The interviews show that there are challenges concerning the lead time for tooling design and manufacture as well as the availability of the tooling in production. Although the companies have made recent investments, they are lacking the knowledge to fully exploit the potential of the new technologies. The paper strongly advocates for the utilization of technology to address the challenges within the tooling industry, aiming for enhanced efficiency and improved tooling design processes.

关键词： Sheet metal forming Design challenges Manufacturing challenges State of the art technology

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Framework for Implementing Digital Twin as an Industry 5.0 Concept to Increase the SME Performance 32nd

Framework for Implementing Digital Twin as an Industry 5.0 C...

引用

32nd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Dossou, Paul-Eric Nshokano, Claude Icam Site Grand Paris Sud F-77127 Lieusaint France Univ Gustave Eiffel F-77420 Champs Sur Marne France

ISBN: (纸本)9783031381645;9783031381652

Compared to emerging countries, European companies must digitally transform their organization to be competitive. Industry 4.0 concepts have been developed to encourage this company's transformation and ensure the improvement of their performance. Indeed, these concepts have been successfully implemented in large companies, but their deployment in SMEs has to be increased. Some of the barriers to this implementation can be solved with the addition of sustainability as proposed by the European commission through industry 5.0. This paper focuses on the development of a framework for implementing digital twin as an industry 5.0 concept in the SME efficient transformation. Digital twin is one of the industry 4.0 pillar that can be easily combined with sustainability to increase the company performance. This article presents the industry 5.0 methodology developed for the SME digital transformation, the intelligent system designed to support the company changes and to elaborate the digital twin that will facilitate the enterprise sustainable transformation. An example based on a carpentry manufacturing SME is exposed to validate the results of the concepts and tool that have been presented.

关键词： Digital twin Artificial intelligence performance optimization sustainable digital transformation intelligent system

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The Impact of the Fit Between Supply and Demand Uncertainty and Supply Chain Responsiveness on the Performance of Portuguese Companies 32nd

The Impact of the Fit Between Supply and Demand Uncertainty ...

引用

32nd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Zimmermann, Ricardo Ferreira, Luis M. D. F. Moreira, Antonio Carrizo INESC TEC Porto Portugal Univ Coimbra Dept Mech Engn CEMMPRE ARISE Coimbra Portugal Univ Aveiro DEGEIT Aveiro Portugal Univ Aveiro GOVCOPP Aveiro Portugal

ISBN: (纸本)9783031381645;9783031381652

This paper analyses how the harmonization between supply and demand uncertainty and supply chain responsiveness (SC fit) impacts business performance. The study analyses data obtained from a sample of 179 manufacturing companies from Portugal. The business performance of companies with different types of SC fit (high-high fit and low-low fit) and misfit (positive and negative) were analyzed and discussed. The results indicate that SC fit is positively related to business performance, economic and productivity, and commercial performance separately. This study advances the literature as the results indicate that SC fit positively affects both commercial and economic, and productivity performance. In contrast, previous empirical studies have mainly addressed the impact only on financial and operational performance.

关键词： Supply chain fit Supply and demand uncertainty Supply chain responsiveness Performance

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Classification of Process Pipework Vibration Using Machine Learning 15th

Classification of Process Pipework Vibration Using Machine L...

引用

15th International Conference on Vibration Problems (ICoVP)

作者： Mohamed, Ahmed Renno, Jamil Qatar Univ Coll Engn Dept Mech & Ind Engn Doha Qatar

ISBN: (纸本)9789819959211;9789819959228

This paper aims to use a deep convolution neural network (CNN) to classify pipework vibrations. Vibration levels are a good indicator of the risk of vibration-induced fatigue failures (VIF). Vibrations in pipework are very common in oil and gas and petrochemical plants which are a result of flow-induced forces from turbulent flows in the pipe, flow momentum change, or fluid pulsations. Strain measurements are usually used to identify and quantify the risk of VIF;however, that is not always easy due to the surface operations required before the installation of the strain gauge. Another alternative would be to rely on vibration measurements using accelerometers and signal analyzers. The dominant frequency of vibration and the root mean square of the velocity are currently used for the vibration acceptance criteria to categorize the vibration levels into three categories: OK, CONCERN, and PROBLEM. The motivation here is to use collected field data for both vibration and stress measurements for multiple pipework plants to train a deep CNN on the images of a continuous wavelet transform from the time-frequency features to be used to predict the classification of new data based on the vibration levels. The results show that the developed CNN can successfully classify the vibration data 93% of the time.

关键词： Risk classification Process pipework Convolutional neural networks Continuous wavelet transformation

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An Automated Lane-Change System Based on Probabilistic Trajectory Prediction Network 16th

An Automated Lane-Change System Based on Probabilistic Traje...

引用

16th International Symposium on Advanced Vehicle Control

作者： Ah, Yoonyong Han, Sangwon Sung, Jihoon Choi, Jaeho Huh, Kunsoo Hanyang Univ Dept Automot Engn Automot Comp Convergence Seoul 04763 South Korea Hanyang Univ Dept Automot Engn Seoul 04763 South Korea

ISBN: (纸本)9783031703942;9783031703928;9783031703911

In highway driving, understanding the intentions of surrounding vehicles is a crucial prerequisite to ensure collision-free lane changes. In this study, an automated lane change system framework is proposed for highway driving. A Long Short-Term Memory (LSTM)-based network is utilized to predict the paths of surrounding vehicles as probability distributions. When initiating a lane change, multiple candidate paths are generated, and the collision probability is then calculated by considering the generated paths of the host vehicle and the predicted paths of surrounding vehicles. Using the vehicle as a reference, the collision risk area is defined first related to the lane change. Secondly, the probability of the predicted distribution of the surrounding vehicles existing within this area is integrated to derive the collision probability. Subsequently, the collision-free optimal path is adopted, and Model Predictive Control (MPC) is employed for path tracking. The proposed framework was validated on a highway-like proving ground.

关键词： trajectory prediction risk assessment

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Experimental Study on Liquid Sloshing Dynamics in a Sway Excited Rectangular Tank 23rd

Experimental Study on Liquid Sloshing Dynamics in a Sway Exc...

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2022 International Association for Hydraulic Environmental engineering and Research Asia Pacific Division

作者： Sahaj, K., V Shri, Shwetha Nasar, T. Natl Inst Technol Surathkal India

ISBN: (纸本)9789819760084;9789819760091

An experimental shake table program is performed to explore the hydrodynamic behavior of liquid sloshing phenomena in a partially filled rectangular tank of 1:43 scaled tank subjected to sway excitation. Three different aspect ratios (h(s)/l, liquid depth, h(s) to the length of the tank, l) of 0.163, 0.325 and 0.488 which corresponds to 25%, 50% and 75% fill depths are considered. Excitation parameters such as frequencies ranging from 0.45 to 3.2 Hz which encompasses up to fifth mode of sloshing frequency and amplitudes of 4 and 8 mm are considered. An experimental setup is designed and devised to measure the sloshing force by using ballast mass concept. The experimental parameters such as run-up of sloshing oscillation, sloshing force and spectral energy are discussed. Experimental results of sloshing oscillation are compared with the numerical works of Nasar et al. (J Nav Archit Mar Eng 9:43-65, 2012). The present study reveals that the effect of excitation on sloshing oscillation is more pronounced near first mode of resonance and insignificant at off-resonance conditions. The effect of excitation amplitude on the fill level is pronounced in the order of 50, 25 and 75% fill levels on sloshing oscillation, sloshing force and spectral energy. The sloshing force is found to be about 9.32, 26.03 and 26.43 N for the excitation parameters of forcing frequency (f) that equals to first mode sloshing frequency (f(1)) and amplitude of excitation A = 8 mm. The sloshing tank with 75% fill depth experiences more sloshing force on its containment than 25 and 50% fill depths.

关键词： Sloshing oscillation Sloshing dynamics Excitation frequencies Sloshing force

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The Influence of Transient Tire Force Transmission on Sideslip Angle Estimation 16th

The Influence of Transient Tire Force Transmission on Sidesl...

引用

16th International Symposium on Advanced Vehicle Control

作者： Puscul, Dzenana Schabauer, Martin Le, Cornelia Graz Univ Technol Inst Automot Engn Inffeldgasse 11-2 A-8010 Graz Austria

ISBN: (纸本)9783031703942;9783031703928;9783031703911

Knowledge of the sideslip angle is significant in development, testing and validation of advanced driver assistance systems and vehicle control systems, to enhance vehicle performance and stability. This article investigates the influence of having additional information about transient tire behavior during estimation of the sideslip angle. Since transient behavior depends on the dynamic excitation, the effect during different driving maneuvers (excitations) such as steady-state cornering, slalom and general handling as well as on different road surfaces is investigated. The results show that considering transient force transmission even by a pragmatic approach leads to a significant improvement.

关键词： Sideslip angle State estimation Transient tire behavior Tire force dynamics Tire relaxation Vehicle handling dynamics

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Analysis of the Mechanism of Rail Corrugation by Using Temperature Dependent Friction Coefficient 14th

Analysis of the Mechanism of Rail Corrugation by Using Tempe...

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14th International Workshop on Railway Noise (IWRN)

作者： Ma, Kuikui Yang, Xinwen Tongji Univ Shanghai Key Lab Rail Infrastruct Durabil & Syst Shanghai 201804 Peoples R China Tongji Univ Key Lab Rd & Traff Engn Minist Educ Shanghai 201804 Peoples R China

ISBN: (纸本)9789819978519;9789819978526

In order to investigate the mechanism of rail corrugation on small radius curves, a three-dimensional wheelset-track thermal-mechanical coupling finite element (FE) model was developed. Friction coefficients are modeled in consideration of the wheel-rail contact temperature effects. The dynamic response of the wheelset-track system is investigated by transient analysis on a curved track with a radius of 350 m. The results show that the wheelset-track coupling dynamic system exhibits lateral stick-slip motion on the wheelset-low rail. The wheel-rail lateral creepages have obvious periodic fluctuations with dominated frequencies of 410 and 1045 Hz, In addition, The dominated frequencies of the wheel lateral vibration velocity on contact point as well as the dominated frequencies of lateral force are similar to dominated frequencies of the creep force. During a stick-slip process, the maximum temperature of the wheel-rail contact patch temperature increases with the creepages. The percentage of sliding region within the contact patch increases from 77.1 to 100%. The stick-slip vibration of the wheelset-low rail may lead to the occurrence of rail corrugation, which corresponds to wavelengths of 40.6 and 15.9 mm.

关键词： Rail corrugation Stick-slip process Friction coefficients Temperature

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Dynamic Frequency Adjustment and Dispatching for Cloud Computing System with Energy Cost Considerations 1

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33rd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Wu, Ze-Kai Lin, Yen-Ju Yang, Yu-Chieh Wu, Cheng-Hung Natl Taiwan Univ Inst Ind Engn Taipei Taiwan Natl Taiwan Univ Inst Ind Engn Taipei Taiwan Natl Taiwan Univ Dept Business Adm Taipei Taiwan Natl Taiwan Univ Dept Mech Engn Taipei Taiwan

ISBN: (数字)9783031744853

ISBN: (纸本)9783031744846;9783031744853

This research studies the dynamic frequency adjustment and task dispatching problems for cloud computing systems under user demand uncertainties. The objective of the research is to minimize energy consumption and waiting costs. A dynamic programming model is presented to minimize total costs by adjusting CPU frequency dynamically. In this model, we implement real-time job dispatching based on the current state. With the objective of minimizing the total waiting time for tasks. Additionally, the model employs a stochastic process to accurately estimate the transition probability between various events. Backward induction is used to solve the model and make the optimal decision for the different states. Compared with other control methods from the literature, our numerical results show that the proposed method reduces total energy and waiting costs. The improvement is particularly significant when cloud servers and tasks have higher heterogeneity. This approach provides a comprehensive solution to the challenges of cloud computing, balancing performance and cost efficiency.

关键词： Dynamic dispatching Stochastic process Cloud computing

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