2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)最新文献

Automated Electric-Field-Based Nanowire Characterization, Manipulation, and Assembly 自动化电场纳米线表征，操作和组装

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-12-04 DOI: 10.1109/COASE.2018.8560698

Kaiyan Yu, J. Yi, J. Shan

引用次数: 5

A Grouping Genetic Algorithm for the Intercell Scheduling Problem 细胞间调度问题的分组遗传算法

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560518

Shuai Wang, Shaofeng Du, Tao Ma, Dongni Li

引用次数: 0

Digital Twin for Legacy Systems: Simulation Model Testing and Validation 遗留系统的数字孪生:仿真模型测试和验证

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560338

Adnan Khan, M. Dahl, P. Falkman, Martin Fabian

{"title":"Digital Twin for Legacy Systems: Simulation Model Testing and Validation","authors":"Adnan Khan, M. Dahl, P. Falkman, Martin Fabian","doi":"10.1109/COASE.2018.8560338","DOIUrl":"https://doi.org/10.1109/COASE.2018.8560338","url":null,"abstract":"In this paper, an approach to incorporate a digital twin for legacy production systems is presented. Hardware-in-the-loop setups are routinely used by manufacturing companies to carry out virtual commissioning. However, manufacturing companies having online legacy production systems are still struggling to incorporate a digital twin due to the absence of verified and validated simulation models. Companies that use virtual commissioning as a part of their engineering tool chain, usually perform offline verification of the simulation model. This approach is typically based on visual inspection and is a tedious task as each aspect of the model has to be visually validated. For legacy systems, only assessing the behavior visually in the absence of updated documents can result in an incorrect simulation model, i.e. simulating incorrect behavior with respect to the specification. Due to this, such simulation models cannot be incorporated in the engineering tool chain, as the simulated results can lead to improper decisions and can even cause equipment damage. This paper presents a platform and an approach, based on model-based testing, that is a first step for manufacturing companies to incorporate a validated simulation model for existing online production systems that will serve as a digital twin.","PeriodicalId":6518,"journal":{"name":"2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)","volume":"124 1","pages":"421-426"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73769448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 35

Overbooking for Specialty Clinics with Patient No-Shows: A Queueing Approach 病人未到的专科诊所超额预约:排队方法

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560573

Zhenghao Fan, Xiaolei Xie, Reynerio Sanchez, Xiang Zhong

引用次数: 1

Solving Unequal-Area Facility Layout Problems with Orbits in Fully Automatic System 求解全自动化系统中带轨道的不等面积设施布局问题

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560565

Xin-gang Hao, Mingyao Qi

引用次数: 1

Hybrid Sensor-Based and Frontier-Based Exploration Algorithm for Autonomous Transport Vehicle Map Generation 基于传感器和边界的自动运输车辆地图生成混合探索算法

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560488

K. Hidaka, N. Kameyama

{"title":"Hybrid Sensor-Based and Frontier-Based Exploration Algorithm for Autonomous Transport Vehicle Map Generation","authors":"K. Hidaka, N. Kameyama","doi":"10.1109/COASE.2018.8560488","DOIUrl":"https://doi.org/10.1109/COASE.2018.8560488","url":null,"abstract":"In this paper, we present a method of effectively creating environment maps on an auto-transport system in logistics and industrial site management applications, e.g., an automobile assembly plant. The key objective of the study is creating a map effectively. Simultaneous Localization and Mapping (SLAM) is established as a general map-generating method. The map is, however, created with ad hoc and manual. Thus, an exploration method in an unknown environment for autonomously generating a map has been studied for decades. The main method is frontier-based exploration. This method presents a problem for an efficient mapping method in a wide environment, and for accuracy of the map depending on the local area. In the backgrounds, an autonomous exploration algorithm using only infrared sensor and odometer information from a robot is proposed as a sensor-based exploration approach without using map information. The proposed method requires only a depth sensor and camera on a robot. Next, we propose a hybrid exploration to decrease unavailable areas in frontier-based exploration. To perform our proposed method, an environment map is created by a mobile robot, and the effectiveness of the hybrid exploration method is demonstrated.","PeriodicalId":6518,"journal":{"name":"2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)","volume":"1 1","pages":"994-999"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74943974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Factorial Kernel Dynamic Policy Programming for Vinyl Acetate Monomer Plant Model Control 醋酸乙烯单体工厂模型控制的析因核动态策略规划

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560593

Yunduan Cui, Lingwei Zhu, Morihiro Fujisaki, H. Kanokogi, Takamitsu Matsubara

{"title":"Factorial Kernel Dynamic Policy Programming for Vinyl Acetate Monomer Plant Model Control","authors":"Yunduan Cui, Lingwei Zhu, Morihiro Fujisaki, H. Kanokogi, Takamitsu Matsubara","doi":"10.1109/COASE.2018.8560593","DOIUrl":"https://doi.org/10.1109/COASE.2018.8560593","url":null,"abstract":"This research focuses on applying reinforcement learning towards chemical plant control problems in order to optimize production while maintaining plant stability without requiring knowledge of the plant models. Since a typical chemical plant has a large number of sensors and actuators, the control problem of such a plant can be formulated as a Markov decision process involving high-dimensional state and a huge number of actions that might be difficult to solve by previous methods due to computational complexity and sample insufficiency. To overcome these issues, we propose a new reinforcement learning method, Factorial Kernel Dynamic Policy Programming, that employs 1) a factorial policy model and 2) a factor-wise kernel-based smooth policy update by regularization with the Kullback-Leibler divergence between the current and updated policies. To validate its effectiveness, FKDPP is evaluated via the Vinyl Acetate Monomer plant (VAM) model, a popular benchmark chemical plant control problem. Compared with previous methods that cannot directly process a huge number of actions, our proposed method leverages the same number of training samples and achieves a better control strategy for VAM yield, quality, and plant stability.","PeriodicalId":6518,"journal":{"name":"2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)","volume":"59 1","pages":"304-309"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84227829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Resolving Inconsistencies Optimally in the Model-Based Development of Production Systems 在基于模型的生产系统开发中最优地解决不一致性

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560400

M. Zou, Bo Lu, B. Vogel‐Heuser

引用次数: 7

Uniform Parallel Machine Scheduling with Dedicated Machines, Job Splitting and Setup Resources 具有专用机器、作业分割和设置资源的统一并行机器调度

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560409

Hyun-Jung Kim, Jun-Ho Lee

引用次数: 16

Modelling consistency rules within production system engeering 在生产系统工程中建模一致性规则

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560537

A. Lüder, J. Pauly, M. Wimmer

引用次数: 8