A neutral approach for interoperability in the field of 3D measurement data management

Emmer, Christian; Hofmann, Timo Marcel; Schmied, Torsten; Stjepandić, Josip; Strietzel, Martin

doi:10.1016/j.jii.2018.01.006

Cited by 15 publications

(13 citation statements)

References 19 publications

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“…The SMS need to be agile and able to meet the rigorous performance requirements to become successful in achieving their implementation goals. No doubt that the implementation Few research studies have proposed a performance measurement framework for Industry 4.0 based manufacturing systems (Shin et al, 2018;Miragliotta et al, 2018;Bauters et al, 2018;Ante et al, 2018;Emmer et al, 2018). However, the proposed performance measures in these studies are limited to the evaluation of a specific performance dimension; such as data quality, productivity or product quality.…”

Section: Introductionmentioning

confidence: 99%

A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation

Kamble

Gunasekaran

Ghadge

et al. 2020

International Journal of Production Economics

269

126

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Section: Introductionmentioning

confidence: 99%

A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation

Kamble

Gunasekaran

Ghadge

et al. 2020

International Journal of Production Economics

269

126

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“…systems such as Enterprise Resource Management (ERM) is limited [9][10][11]. Resulting in the often manual and ad-hoc approach of using BIM data and devaluing the business case for BIM within O&M [12].…”

Section: The Interoperability Between Bim Related Data (Eg 3d Modelmentioning

confidence: 99%

A Building Information Modelling approach to the alignment of organisational objectives to Asset Information Requirements

Heaton

Parlikad

Schooling

2019

Automation in Construction

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It is critical that an asset-centric organisation understand the importance of their engineered assets to operate successfully. Despite this, organisations struggle to view assets within the context of wholelife management and ultimately struggle to harness the full potential value. A recurring theme is the challenges in capturing, storing and validating data across a diverse and complex asset portfolio. The primary reason for this is the fundamental lack of understanding of what information should be collected to support the efficient management of assets throughout their life. Asset-related information that is not collected in alignment to the organisational requirements will restrict the performance of capital investment decisions, risk management and operational performance throughout the whole life of the asset portfolio and ultimately have an impact on productivity. This paper presents a top-down methodology that utilises Building Information Modelling to support the development of asset Information Requirements, the novel aspect of this approach is the development of Functional Information Requirements to bridge the gap between organisational requirements and asset information requirements.

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“…These include the works of Shin et al (2018), Miragliotta et al (2018), Balters et.al. (2018, Ante et al (2018) and Emmer et al (2018). Although these proposals consider Industry 4.0 within their scope, they are more focused on technical than managerial aspects.…”

Section: Introductionmentioning

confidence: 99%

“…In a search on main scientific databases such as Web of Science, Scopus and Google Scholar, it was possible to identify that few papers have been published with regard to performance measurement within the context of Industry 4.0. These include the works of Shin et al (2018); Miragliotta et al (2018); Bauters et al (2018); Ante et al (2018) and Emmer et al (2018). Although these proposals consider Industry 4.0 within their scope, they are more focussed on technical than managerial aspects.…”

Section: Introductionmentioning

confidence: 99%

Performance measurement for supply chains in the Industry 4.0 era: a balanced scorecard approach

Frederico

Garza‐Reyes

Kumar

et al. 2020

IJPPM

115

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PurposeThe purpose of this paper is to present a theoretical approach based on the balanced scorecard (BSC) with regard to performance measurement – PM in supply chains for the Industry 4.0 era.Design/methodology/approachThis paper combines the literature of PM and specifically the BSC with the literature related to the dimensions of supply chain in the context of Industry 4.0.FindingsDimensions extracted from the literature based on supply chains within the context of Industry 4.0 showed a strong alignment with the four perspectives of the BSC, which make it suitable to be considered as a performance measurement system (PMS) for supply chains in this new context.Research limitations/implicationsFrom theoretical perspective, this study contributes to the limited literature on PM for supply chains in Industry 4.0 era. The study proposes a supply chain 4.0 Scorecard and strongly support researchers to conduct future empirical researches in order to get a deeper understanding about PM in supply chains in the Industry 4.0 era. As limitations, the theoretical framework proposed needs further empirical research in other to validate it and obtain new insights over the investigation conducted and presented into this paper.Practical implicationsPractitioners can use this study as a guide to develop more effective performance measurement systems – PMSs in their organizations.Originality/valueThis research is unique as it addresses a significant knowledge gap related to PM in supply chains in the Industry 4.0 era. It brings a significant contribution in terms of understanding how to measure performance in supply chains in this new era.

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A neutral approach for interoperability in the field of 3D measurement data management

Cited by 15 publications

References 19 publications

A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation

A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation

A Building Information Modelling approach to the alignment of organisational objectives to Asset Information Requirements

Performance measurement for supply chains in the Industry 4.0 era: a balanced scorecard approach

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