The Measurement of Industry 4.0 Performance through Industry 4.0 Index: An Empirical Investigation for Turkey and European Countries

Atik, Hayriye; Ünlü, Fatma

doi:10.1016/j.procs.2019.09.123

Cited by 27 publications

(17 citation statements)

References 10 publications

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“…However, although "performance 4.0" management has been widely handled in recent literature, there is still no clarity in the definition of the paradigm or its evolution. Frameworks dealing with the digitalisation contribution to the global performance have been proposed [42][43][44][45]. Performance 4.0 is either considered through the impact of the use of the technologies on the global performance: "Firms' performance is measured in terms of the absolute number of opportunities perceived by firms when adopting Industry 4.0 technologies" [46] or the maturity of the system to integrate those technologies [47].…”

Section: From a Historical To A Modern Vision Of Performancementioning

confidence: 99%

Industrial Performance: An Evolution Incorporating Ethics in the Context of Industry 4.0

et al. 2021

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This article addresses the issue of the industrial performance model and its evolution to cope with the context of Industry 4.0. With its digitalisation, intelligent/autonomous systems and wealth of data, Industry 4.0 offers opportunities that can achieve objectives better. It also presents risks and uncertainties that question the autonomy of the systems, their interaction with humans and the use of available data. The hypothesis put forward in this work is that the efficiency–effectiveness–relevance performance triangle can no longer guarantee long-term performance under these conditions and needs to be associated with an ethical dimension that allows for the risks and uncertainties relating to Industry 4.0 to be considered. Ethics is therefore considered to extend the triangle to a tetrahedron. A brief analysis of current performance management will first show the limits of the current practice in the context of Industry 4.0. The frameworks that could overcome these limits in light of new needs are then recalled and discussed, leading to the choice of ethics, whose main definitions and use in the engineering field are also introduced. The proposed (efficiency–effectiveness–relevance–ethics tetrahedron-based methodology is illustrated through a case study related to an aeronautical supplier, regarding the consequences of the implementation of a MES (Manufacturing Execution System) in terms of product traceability and operator autonomy. The discussion and prospects finally conclude this study.

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Section: From a Historical To A Modern Vision Of Performancementioning

confidence: 99%

Industrial Performance: An Evolution Incorporating Ethics in the Context of Industry 4.0

et al. 2021

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“…This index has been computed using the methodology of the World Economic Forum, and the approach has also been used by e.g. Atik & Ünlü (2019). Basically, secondary indicators are used to calculate the new indicator, while the basic formula has the following form:…”

Section: Methodology and Datamentioning

confidence: 99%

“…Thus is the value of the selected statistical indicator I for the given state n in time t. Min ( ) represents the minimum statistical indicator and the value in sample n and, analogically, max ( ) represents the maximum value. Contrary to Atik & Ünlü (2019) calculation of the Industry 4.0 relative performance index is wider; these aforementioned authors have focused only on statistics concerning the integration of internal processes. Selected indicators in this study attempt to encompass three progresses that are linked to Industry 4.0 (see Almada-Lobo, 2015;Schlechtendahl et al, 2015).…”

Section: Methodology and Datamentioning

confidence: 99%

“…Kuruczleki et al (2016) determined the readiness of the European Union to embrace the fourth industrial revolution by developing a readiness index containing eight indicators. Atik & Ünlü (2019) measured the relative performance of the countries in transition towards Industry 4.0 by using level indicators such as big data, CCS and CPS. Based on an analysis of a study by Berger (2015), one advantage of the use of a composite indicator can be defined, as this survey was extensive and created its own indicator.…”

Section: Literature Review -Indicators Of the Measurement Of Industry 40mentioning

confidence: 99%

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The Measurement of Industry 4.0: An Empirical Cluster Analysis for Eu Countries

Hejduková¹,

Kureková²,

Krechovská³

2020

IJoES

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Based on findings regarding existing indicators for the measurement of Industry 4.0, the goal of the presented article is to create our own composite indicator and carry out a cluster analysis for EU countries. There is a relatively large amount of academic studies in the area of the measurement of Industry 4.0 that focus on the composite indicators that attempt to capture this phenomenon statistically. At the moment, however, there are no available timelines of these composite indicators. In the empirical section, we have created our own indicator -the "Industry 4.0 relative performance index". This Index was computed using the methodology of the World Economic Forum. Computation of our own composite indicator has made it possible to record the development of Industry 4.0 performance in time and thus evaluate the relative positions of member states. Cluster analysis was carried out for the years 2011 and 2019, and data was extracted from Eurostat and Worldbank statistics. Results of this paper may serve as guidance for future targeting of cohesive EU policy in the field of Industry 4.0 support, which in the future may contribute to strengthening the position of the EU economy as a whole.

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“…In terms of technological developments, the intake of several technologies that are considered in European industrial strategy until 2020 as key technologies were extremely low in the Slovenian manufacturing companies [ 70 ]. Slovenia was also named as a traditionalist when it comes to the readiness of the countries towards Industry 4.0 [ 71 ]. Nevertheless, empirical evidence undertaken by Hojnik and Ruzzier [ 72 ] highlighted that competitive pressure was the most influential driving force of eco-innovation process, followed by managerial environmental concern and customer demand in Slovenia.…”

Section: Energy Efficiency: a Case Study Of Sloveniamentioning

confidence: 99%

Energy efficiency in the industrial sector in the EU, Slovenia, and Spain

Malinauskaitė

Jouhara

Egilegor

et al. 2020

Energy

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‘Energy efficiency first’ is one of the key principles of the Energy Union, mainly due to it being the most cost eﬀective way to reduce emissions, improving energy security, enhancing competitiveness and making energy consumption more aﬀordable for all consumers. In light of the revised EU Energy Efficiency Directive, this paper discusses new developments brought by the EU together with the national case studies of Slovenia and Spain. Given that the paper has a specific focus on the industrial sector, it discusses the selected measures of the Energy Efficiency Directive, such as defined in Articles 7, 8, and 14, which are the most relevant to this sector. The paper also explores the newly issued integrated national energy and climate plans together with national measures and policies that support energy efficiency in industry, including the quantification of achieved and forecast energy savings in these two EU Member States.

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The Measurement of Industry 4.0 Performance through Industry 4.0 Index: An Empirical Investigation for Turkey and European Countries

Cited by 27 publications

References 10 publications

Industrial Performance: An Evolution Incorporating Ethics in the Context of Industry 4.0

Industrial Performance: An Evolution Incorporating Ethics in the Context of Industry 4.0

The Measurement of Industry 4.0: An Empirical Cluster Analysis for Eu Countries

Energy efficiency in the industrial sector in the EU, Slovenia, and Spain

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