Migration of PLM systems to cloud

Singh, Shikha; Misra, Sidhant

doi:10.1002/dac.3815

Cited by 11 publications

(2 citation statements)

References 45 publications

(99 reference statements)

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“…However, project management in interestingly discussed in one paragraph, providing precious insight about the management of such projects: Even if led by equal rights between the business unit and IT, PLM upgrade still had been perceived as a pure IT project.  Singh [11] challenges only the transition to the cloud and does not address data migration itself. It is understood that this is an isomorphic migration and that systems are unlikely to evolve between on-premise PLM and cloud PLM.…”

Section: Plm Data Migrationmentioning

confidence: 99%

PLM Migration in the Era of Big Data and IoT: Analysis of Information System and Data Topology

Barrios¹,

Loison²,

Danjou³

et al. 2020

Product Lifecycle Management Enabling Smart X

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As product lifecycle management is starting to be a standard information system in most companies, a data manipulation issue starts to emerge. Indeed, the information contained in a system often needs to be accessible or even transferred to another one to exploit a new software's functionalities. With the Big Data era, new methods of analysis start to emerge, and the graph visualisation of data enables a better human understanding of the data itself. We propose to address the PLM migration issues with a new approach based on analysis of information system and data topology. The data is passed onto a graph and bundles are made thanks to clustering algorithms; this bundling enables a better understanding of the data and ease migration. However, PLM has links between links which complicate the transition to graphs. Finally, the described use-case proves that data bundling eases the data migration and prevents some usual pitfalls and delays.

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Section: Plm Data Migrationmentioning

confidence: 99%

PLM Migration in the Era of Big Data and IoT: Analysis of Information System and Data Topology

Barrios¹,

Loison²,

Danjou³

et al. 2020

Product Lifecycle Management Enabling Smart X

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“…- Chemane et al (2005) address the security mechanisms selection problem by proposing a multi-criteria decision-making model for structuring the VPN selection decision problem. - Singh and Misra (2018) empirically investigate the critical challenges encountered by many firms for migration to cloud PLM. A multi-criteria decision-making method, grey Decision Making Trial and Evaluation Laboratory (DEMATEL) along with interpretive structural modelling are employed to identify the causal challenges and their hierarchy to cloud PLM adoption.…”

Section: Multi-criteria Decision-making and Its Usage In The Securitymentioning

confidence: 99%

Information Security Management Framework Suitability Estimation for Small and Medium Enterprise

Kaušpadienė

Ramanauskaitė

Čenys

2019

Technological and Economic Development of Economy

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Information security is one of the key concerns of an enterprise or organization. To assure suitable management of information security a list of information security management frameworks has been developed by a number of institutions and authors. A condensed information in information security management framework is very important to a small and medium enterprise as this type of enterprise usually lacks resources for information security expertise and deep analysis. Despite the fact, the information security management process and its frameworks, on the other hand, are very complex and require a big number of different elements. At the moment the comparison it is very shallow, as all properties of the comparison are treated equally important. In real life, the importance of different criteria of information security management framework and their suitability for small and medium enterprise vary. Therefore we use the Analytic Hierarchy Process to construct a hierarchy of information security management frameworks quality and applicability in small and medium enterprise and define the weights for each of the criteria. Weighted criteria express the importance of the criteria and executed the final comparison of alternatives (five information security management frameworks) is more realistic (similar to experts opinion) comparing to existing comparisons.

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Significance of Cloud PLM in Industry 4.0

Singh

Misra

2019

Decision Engineering

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Migration of PLM systems to cloud

Cited by 11 publications

References 45 publications

PLM Migration in the Era of Big Data and IoT: Analysis of Information System and Data Topology

PLM Migration in the Era of Big Data and IoT: Analysis of Information System and Data Topology

Information Security Management Framework Suitability Estimation for Small and Medium Enterprise

Significance of Cloud PLM in Industry 4.0

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