Opportunities of Digitalization for Productivity Management

Jeske, Tim; Weber, Marc‐André; Würfels, Marlene; Lennings, Frank; Stowasser, Sascha

doi:10.1007/978-3-319-94334-3_32

Cited by 12 publications

(6 citation statements)

References 2 publications

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“…(8) Payback time was calculated based on experience from previous projects. (9) The costs for machine purchase were assumed based on quotations from several companies and market search, and so were the innovated-related equipment.…”

Section: Discussionmentioning

confidence: 99%

“…Human integration in the manufacturing processes is a critical aspect of Industry 4.0, in order to continuously improve and focus on value adding industries and eliminating wastes within the concept of Industry 4.0. Digitalization is estimated to lead to a 32% productivity increase until 2025 [9]. This increase is linked to an improved data collection, distribution, analysis, and usage [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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A Framework for CO2 Emission Reduction in Manufacturing Industries: A Steel Industry Case

Stavropoulos

Panagiotopoulou

Papacharalampopoulos

et al. 2022

Designs

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Rising carbon emissions are linked to the increase in global temperature, because of increasing human activities and increasing greenhouse gas emissions. Since manufacturing is one of the most carbon intensive sectors, it is vital to suggest solutions that lead to carbon emission reduction in all sectors, among which is the steelmaking manufacturing sector. The present study focuses on presenting a framework for energy intensive industries introducing digitalization and energy efficient equipment in the production line. The current framework proposes different metrics, both from carbon emissions and cost viewpoints. A secondary steelmaking industry was used as a case study, showcasing the impact of digitalization and energy efficient equipment towards the reduction of carbon emissions. In addition, different metrics were calculated with energy efficient scenarios providing the lowest energy consumption metric, but their high purchasing costs make these scenarios less attractive. However, if carbon emission reduction per cost is the metric, a combination of digital tools and energy efficient equipment is the answer to the company’s needs. Applying the concepts of innovation absorption and digitalization, the number of alternatives is kept low, however, the impact on the line is quite large. The introduction of new technologies is also supported by training of the workforce, aligning the framework with current industrial trends.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Framework for CO2 Emission Reduction in Manufacturing Industries: A Steel Industry Case

Stavropoulos

Panagiotopoulou

Papacharalampopoulos

et al. 2022

Designs

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“…Non − compliant products = P nc = P nc, proc +P nc,mac (7) Potential products = P pot = P pot, proc +P pot, mac (8) Target products = P target = P c +P nc +P pot (9) where it is possible to observe that, considering a constant machine processing time (constant machine cycle time; expressed as CT), the following equivalency is obtained: 4 represents the OEE assessment methodologies, where considers all the inefficiencies that may occur during the production phase (namely inefficiencies due to the machinery, process configuration or human errors) and where considers only the inefficiencies due to the machinery, excluding the ones attributable to process configuration or human errors. Note that both calculation methodologies assume constant processing times (constant cycle times) and the possibility to implement a tracking platform, while the following assumptions are provided for the calculation:…”

Section: Proposal Of the Oee Measurement Methodologiesmentioning

confidence: 99%

“…As a consequence of the previous considerations, new research works and practical applications concerning the ramp-up phase should consider opportunities to design comprehensive methods for its effective evaluation. Indeed, the growing usage of digital information and communication technologies opens new opportunities for productivity management in manufacturing companies, with an estimated average increase in productivity of 32% by 2025 due to digitalization [9]. This increase in productivity can be linked to the way digitalization changes the handling of data and information by offering new and extended ways for collecting, transferring, evaluating, and exploiting information, all of which are opportunities that allow increases in effectiveness and efficiency [10].…”

Section: Introductionmentioning

confidence: 99%

The Human Performance Impact on OEE in the Adoption of New Production Technologies

2021

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The initial adoption phase of new production technologies is the period between the first production run or technology reconfiguration and the achievement of a stable target output. This time frame is generally characterized by productivity unsteadiness, quality performance variability, and unexpected machine failures together with increasing production volumes due to the process setup and instability, which inevitably affects production output. In this context, human performance represents an additional source of variability and process instability that is dependent on the workers’ productivity, learning curve and related training activities. Hence, to effectively assess the ramp-up phase of new production technologies, an appropriate evaluation of human performance is required. This paper proposes a comprehensive framework and criteria to perform a consistent assessment of the initial adoption phase of new production technologies by introducing two OEE measurement methodologies that distinguish between human performance, process configuration and technical features of the production technology. The proposed framework is then applied to and validated by a case study concerning the introduction of a semi-automatic packaging machine in a primary multinational company in the logistics industry. This case study shows the difference between the two OEE measures, along with the values interpretation and useful insights for achieving a stable production output.

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“…The main idea of Industry 4.0 is the digitization of industry. The transformation of technology changes due to CPS controls the process, devices and objects which are linked with each other by software via the Internet (Jeske et al , 2018; Anshari, 2020). Hence, this transformation creates fundamental changes affecting how people work currently and how people will work in the future.…”

Section: Literature Reviewmentioning

confidence: 99%

Adopting open innovation for SMEs and industrial revolution 4.0

Anshari

Almunawar

2021

JSTPM

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Purpose Industrial Revolution 4.0 is still evolving. The purpose of this paper is to assess the progress of Indonesia in achieving an initiative for Industry 4.0. As the largest country in Southeast Asia, Indonesia plays a critical role in implementing Industry 4.0. In addition, this study proposes an open innovation strategies for small and medium enterprises (SMEs) in facing Industry 4.0, especially in the Indonesian setting. Open innovation is viewed as a long-term innovation model that relies on cross-border commerce between businesses and countries. Design/methodology/approach This study undertakes a comprehensive literature review to capture the necessary insights for establishing an early grasp of solution design. A total of 32 sample papers were qualified using a set of selection criteria designed to find the most relevant existing studies in the Industry 4.0 and Indonesia domains. The meta-details as significant discoveries were processed using a content analysis approach. In addition, the research deployed sentiment analysis from text mining to inter-operate and classify (positive, negative and neutral) in-text data using text analysis techniques to identify public sentiment toward Industry 4.0 in Indonesia. Findings The key finding is that there is a favorable relationship between digital ecosystem readiness and open innovation adoption for SMEs. While, knowledge management is a critical factor in guiding a country’s successful implementation of the open innovation paradigm. Furthermore, some of the major findings revealed that many initiatives for Industry 4.0 are carried out by the private sectors. In regards to the procedure, the role of government is the protection of market regulations. This could be due to preserving fair competition between corporations and SMEs. Local businesses and SMEs should be protected to ensure their survival. In addition, the major cause of the slow adoption of Industry 4.0 in Indonesia is the lack of digital equipment. This is because of the shortage of digital equipment that can create a digital divide between large and small businesses and between industries in the urban and rural areas. Research limitations/implications This study discussed some of the most essential issues of SMEs in adopting open innovation that is required for Industrial Revolution 4.0. It focuses on how digital ecosystem’s readiness influences open innovation adoption for SMEs in Indonesia. By understanding its current state of readiness, it contributes to the policymakers in deciding how and where to adopt open innovation and develop digital ecosystem and identify which ones might best meet their needs for any developing countries. Originality/value This paper is useful to academics, practitioners and policymakers in the fields of technology and public policy. The research provides some initial insights into Indonesia and any developing countries on Industry Revolution 4.0 and the needs for SMEs in adopting open innovation.

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Opportunities of Digitalization for Productivity Management

Cited by 12 publications

References 2 publications

A Framework for CO2 Emission Reduction in Manufacturing Industries: A Steel Industry Case

A Framework for CO2 Emission Reduction in Manufacturing Industries: A Steel Industry Case

The Human Performance Impact on OEE in the Adoption of New Production Technologies

Adopting open innovation for SMEs and industrial revolution 4.0

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