Pub Date : 2018-01-01DOI: 10.1007/978-3-319-99734-6
L. Drevin, M. Theocharidou
{"title":"Information Security Education – Towards a Cybersecure Society","authors":"L. Drevin, M. Theocharidou","doi":"10.1007/978-3-319-99734-6","DOIUrl":"https://doi.org/10.1007/978-3-319-99734-6","url":null,"abstract":"","PeriodicalId":73328,"journal":{"name":"IFIP advances in information and communication technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74321460","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}
Pub Date : 2018-01-01DOI: 10.1007/978-3-030-16744-8
E. Kosta, J. Pierson, Daniel Slamanig, S. Fischer-Hübner, S. Krenn
{"title":"Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data","authors":"E. Kosta, J. Pierson, Daniel Slamanig, S. Fischer-Hübner, S. Krenn","doi":"10.1007/978-3-030-16744-8","DOIUrl":"https://doi.org/10.1007/978-3-030-16744-8","url":null,"abstract":"","PeriodicalId":73328,"journal":{"name":"IFIP advances in information and communication technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83580166","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}
Pub Date : 2017-01-01DOI: 10.1007/978-3-030-06137-1
Daoliang Li, Chunjiang Zhao
{"title":"Computer and Computing Technologies in Agriculture XI","authors":"Daoliang Li, Chunjiang Zhao","doi":"10.1007/978-3-030-06137-1","DOIUrl":"https://doi.org/10.1007/978-3-030-06137-1","url":null,"abstract":"","PeriodicalId":73328,"journal":{"name":"IFIP advances in information and communication technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85087850","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}
Pub Date : 2017-01-01Epub Date: 2017-03-17DOI: 10.1007/978-3-319-51133-7_83
Kiwook Jung, Boonserm Kulvatunyou, Sangsu Choi, Michael P Brundage
Smart manufacturing, today, is the ability to continuously maintain and improve performance, with intensive use of information, in response to the changing environments. Technologies for creating smart manufacturing systems or factories are becoming increasingly abundant. Consequently, manufacturers, large and small, need to correctly select and prioritize these technologies correctly. In addition, other improvements may be necessary to receive the greatest benefit from the selected technology. This paper proposes a method for assessing a factory for its readiness to implement those technologies. The proposed readiness levels provide users with an indication of their current factory state when compared against a reference model. Knowing this state, users can develop a plan to increase their readiness. Through validation analysis, we show that the assessment has a positive correlation with the operational performance.
{"title":"An Overview of a Smart Manufacturing System Readiness Assessment.","authors":"Kiwook Jung, Boonserm Kulvatunyou, Sangsu Choi, Michael P Brundage","doi":"10.1007/978-3-319-51133-7_83","DOIUrl":"https://doi.org/10.1007/978-3-319-51133-7_83","url":null,"abstract":"<p><p>Smart manufacturing, today, is the ability to continuously maintain and improve performance, with intensive use of information, in response to the changing environments. Technologies for creating smart manufacturing systems or factories are becoming increasingly abundant. Consequently, manufacturers, large and small, need to correctly select and prioritize these technologies correctly. In addition, other improvements may be necessary to receive the greatest benefit from the selected technology. This paper proposes a method for assessing a factory for its readiness to implement those technologies. The proposed readiness levels provide users with an indication of their current factory state when compared against a reference model. Knowing this state, users can develop a plan to increase their readiness. Through validation analysis, we show that the assessment has a positive correlation with the operational performance.</p>","PeriodicalId":73328,"journal":{"name":"IFIP advances in information and communication technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-3-319-51133-7_83","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36054444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-01-01DOI: 10.1007/978-3-319-74310-3
{"title":"Tomorrow's Learning: Involving Everyone. Learning with and about Technologies and Computing","authors":"","doi":"10.1007/978-3-319-74310-3","DOIUrl":"https://doi.org/10.1007/978-3-319-74310-3","url":null,"abstract":"","PeriodicalId":73328,"journal":{"name":"IFIP advances in information and communication technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73184708","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}
Pub Date : 2017-01-01DOI: 10.1007/978-3-319-70395-4
Mason Rice, S. Shenoi
{"title":"Critical Infrastructure Protection XI","authors":"Mason Rice, S. Shenoi","doi":"10.1007/978-3-319-70395-4","DOIUrl":"https://doi.org/10.1007/978-3-319-70395-4","url":null,"abstract":"","PeriodicalId":73328,"journal":{"name":"IFIP advances in information and communication technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84868710","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}
Pub Date : 2017-01-01DOI: 10.1007/978-3-319-65151-4
L. Camarinha-Matos, H. Afsarmanesh, R. Fornasiero
{"title":"Collaboration in a Data-Rich World","authors":"L. Camarinha-Matos, H. Afsarmanesh, R. Fornasiero","doi":"10.1007/978-3-319-65151-4","DOIUrl":"https://doi.org/10.1007/978-3-319-65151-4","url":null,"abstract":"","PeriodicalId":73328,"journal":{"name":"IFIP advances in information and communication technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82873585","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}
As cloud computing is increasingly adopted, the trend is to offer software functions as modular services and compose them into larger, more meaningful ones. The trend is attractive to analytical problems in the manufacturing system design and performance improvement domain because 1) finding a global optimization for the system is a complex problem; and 2) sub-problems are typically compartmentalized by the organizational structure. However, solving sub-problems by independent services can result in a sub-optimal solution at the system level. This paper investigates the technique called Analytical Target Cascading (ATC) to coordinate the optimization of loosely-coupled sub-problems, each may be modularly formulated by differing departments and be solved by modular analytical services. The result demonstrates that ATC is a promising method in that it offers system-level optimal solutions that can scale up by exploiting distributed and modular executions while allowing easier management of the problem formulation.
{"title":"An Investigation to Manufacturing Analytical Services Composition using the Analytical Target Cascading Method.","authors":"Kai-Wen Tien, Boonserm Kulvatunyou, Kiwook Jung, Vittaldas Prabhu","doi":"10.1007/978-3-319-51133-7_56","DOIUrl":"https://doi.org/10.1007/978-3-319-51133-7_56","url":null,"abstract":"<p><p>As cloud computing is increasingly adopted, the trend is to offer software functions as modular services and compose them into larger, more meaningful ones. The trend is attractive to analytical problems in the manufacturing system design and performance improvement domain because 1) finding a global optimization for the system is a complex problem; and 2) sub-problems are typically compartmentalized by the organizational structure. However, solving sub-problems by independent services can result in a sub-optimal solution at the system level. This paper investigates the technique called Analytical Target Cascading (ATC) to coordinate the optimization of loosely-coupled sub-problems, each may be modularly formulated by differing departments and be solved by modular analytical services. The result demonstrates that ATC is a promising method in that it offers system-level optimal solutions that can scale up by exploiting distributed and modular executions while allowing easier management of the problem formulation.</p>","PeriodicalId":73328,"journal":{"name":"IFIP advances in information and communication technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-3-319-51133-7_56","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35285705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-01-01Epub Date: 2017-03-17DOI: 10.1007/978-3-319-51133-7_35
Deogratias Kibira, Guodong Shao
Developing optimal production plans for smart manufacturing systems is challenging because shop floor events change dynamically. A virtual factory incorporating engineering tools, simulation, and optimization generates and communicates performance data to guide wise decision making for different control levels. This paper describes such a platform specifically for production planning. We also discuss verification and validation of the constituent models. A case study of a machine shop is used to demonstrate data generation for production planning in a virtual factory.
{"title":"Virtual Factory Framework for Supporting Production Planning and Control.","authors":"Deogratias Kibira, Guodong Shao","doi":"10.1007/978-3-319-51133-7_35","DOIUrl":"https://doi.org/10.1007/978-3-319-51133-7_35","url":null,"abstract":"<p><p>Developing optimal production plans for smart manufacturing systems is challenging because shop floor events change dynamically. A virtual factory incorporating engineering tools, simulation, and optimization generates and communicates performance data to guide wise decision making for different control levels. This paper describes such a platform specifically for production planning. We also discuss verification and validation of the constituent models. A case study of a machine shop is used to demonstrate data generation for production planning in a virtual factory.</p>","PeriodicalId":73328,"journal":{"name":"IFIP advances in information and communication technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-3-319-51133-7_35","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35329030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-01-01DOI: 10.1007/978-3-030-06179-1
Daoliang Li, Chunjiang Zhao, Kai Rannenberg
{"title":"Computer and Computing Technologies in Agriculture XI","authors":"Daoliang Li, Chunjiang Zhao, Kai Rannenberg","doi":"10.1007/978-3-030-06179-1","DOIUrl":"https://doi.org/10.1007/978-3-030-06179-1","url":null,"abstract":"","PeriodicalId":73328,"journal":{"name":"IFIP advances in information and communication technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-3-030-06179-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"51069228","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}
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