Industry 4.0 - Impact on Intelligent Logistics and Manufacturing最新文献

Industry 4.0 - Impact on Intelligent Logistics and Manufacturing Pub Date : 2020-03-18 DOI: 10.5772/INTECHOPEN.80974

Zongyan Wang

引用次数: 29

Parallel Genetic Algorithms with GPU Computing 并行遗传算法与GPU计算

Industry 4.0 - Impact on Intelligent Logistics and Manufacturing Pub Date : 2020-02-05 DOI: 10.5772/intechopen.89152

J. Cheng, M. Gen

{"title":"Parallel Genetic Algorithms with GPU Computing","authors":"J. Cheng, M. Gen","doi":"10.5772/intechopen.89152","DOIUrl":"https://doi.org/10.5772/intechopen.89152","url":null,"abstract":"Genetic algorithms (GAs) are powerful solutions to optimization problems arising from manufacturing and logistic fields. It helps to find better solutions for complex and difficult cases, which are hard to be solved by using strict optimization methods. Accelerating parallel GAs with GPU computing have received significant attention from both practitioners and researchers, ever since the emergence of GPU-CPU heterogeneous architectures. Designing a parallel algorithm on GPU is different fundamentally from designing one on CPU. On CPU architecture, typically data or tasks are distributed across tens of threads or processes, while on GPU architecture, more than hundreds of thousands of threads run. In order to fully utilize the computing power of GPUs, the design approaches and implementation strategies of parallel GAs should be re-probed. In the chapter, a concise overview of parallel GAs on GPU is given from the perspective of GPU architecture. The concept of parallelism granularity is redefined, the aspect of data layout is discussed on how it will affect the kernel performance, and the hierarchy of threads is examined on how threads are organized in the grid and blocks to expose sufficient parallelism to GPU. Some future research is discussed. A hybrid parallel model, based on the feature of GPU architecture, is suggested to build up efficient parallel GAs for hyper-scale problems.","PeriodicalId":368450,"journal":{"name":"Industry 4.0 - Impact on Intelligent Logistics and Manufacturing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133243439","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: 15

Cyber-Physical System Architecture for Minimizing the Possibility of Producing Bad Products in a Manufacturing System 减少制造系统中不良产品产生可能性的信息物理系统架构

Industry 4.0 - Impact on Intelligent Logistics and Manufacturing Pub Date : 2019-09-19 DOI: 10.5772/intechopen.88461

Salvador Cobos Guzman, María Dolores Cima Cabal, Francisco Machío Regidor, Lucia Alonso Virgos

引用次数: 0

The Role of Spin-Off Companies in the Technology Transfer and IS Management Potential in Developing a Sharing Economy 分拆公司在发展共享经济中的技术转让和信息系统管理潜力的作用

Industry 4.0 - Impact on Intelligent Logistics and Manufacturing Pub Date : 2018-11-05 DOI: 10.5772/INTECHOPEN.81441

M. Pomffyová, M. Rostasova, V. Krajčík

{"title":"The Role of Spin-Off Companies in the Technology Transfer and IS Management Potential in Developing a Sharing Economy","authors":"M. Pomffyová, M. Rostasova, V. Krajčík","doi":"10.5772/INTECHOPEN.81441","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.81441","url":null,"abstract":"Additional information is available the the chapter Abstract The development of all dimensions of digitization, in particular the global Internet penetration into most business areas, creates a better condition for sharing technology. Start-up and spin-off companies, supported by university centres, directly support the transfer of the latest technology into practice. Using the model of economic manage ment, the effectiveness of such economics will be researched. Practices and recommenda - tions that should eliminate barriers to successful spin-offs and start-ups as well as SMEs doing business in competitive area will also be proposed. The assessment of the views of 189 managers of Slovak SMEs and 26 managers of IT companies creates the oppor tunity to assess the extent to which companies want to apply innovation opportunities and IT potential in practice as a driver of changes. These results will be compared with the results of similar research in the EU. The verification of the mutual dependencies of selected indicators using statistical methods and validation tools that are part of the SPSS program will be provided. Based on the synthesis of all knowledge and experience, it will be suggested to managers the ways how to apply technology transfer and regulatory treatment of sharing economy in practice as effectively as possible.","PeriodicalId":368450,"journal":{"name":"Industry 4.0 - Impact on Intelligent Logistics and Manufacturing","volume":"110 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120868558","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: 1

Leveraging Internet-of-Things to Support Circular Economy Paradigm in Manufacturing Industry 利用物联网支持制造业循环经济模式

Industry 4.0 - Impact on Intelligent Logistics and Manufacturing Pub Date : 2018-11-05 DOI: 10.5772/INTECHOPEN.80453

Giuseppe Pacelli, Enrico Ferrera, R. Rossini, Ilaria Bosi, C. Pastrone

引用次数: 0