Industrie 4.0 – An empirical and literature-based study how product development is influenced by the digital transformation

Klippert, Monika; Marthaler, Florian; Spadinger, Markus; Albers, Albert

doi:10.1016/j.procir.2020.02.152

Cited by 8 publications

(7 citation statements)

References 8 publications

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“…Based on that, an initial five-step procedure to identify and exploit improvement potentials in knowledge transfers is provided (Klippert, 2023b). Following this procedure, studies show, that by implementing speed-or quality-dependent knowledge transfer interventions to a specific situation, the speed (Albers et al, 2019) or quality (Klippert et al, 2023a) of knowledge transfers in product engineering can be increased. Since those models only focus on product engineering, Albers et al (2023) developed the InKTI Method, which aims to support the improvement of knowledge transfers in PPE.…”

Section: Support Of Knowledge Transfer In Product and Production Engi...mentioning

confidence: 99%

“…These can lead to the reduction of efficiency (speed) and effectiveness (quality) of knowledge transfers. Various models emerge from the state of research, as well as studies, which show, that knowledge transfer interventions have a positive effect on increasing the speed and quality of knowledge transfers (Albers et al, 2019;Klippert et al, 2023a). The focus of these studies is either on product development only or on various areas outside an engineering context.…”

Section: Introductionmentioning

confidence: 99%

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IMPROVING KNOWLEDGE TRANSFERS AT PROTEKTORWERK FLORENZ MAISCH GMBH & CO. KG THROUGH THE APPLICATION OF THE INKTI – INTERDEPARTMENTAL KNOWLEDGE TRANSFER IMPROVEMENT METHOD

Klippert

Schäfer

Böllhoff³

et al. 2023

Proc. Des. Soc.

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In the development and production of new products, interdepartmental knowledge transfer is essential. Successful knowledge transfer faces several challenges, such as a lack of willingness to transfer knowledge or an inappropriate selection of tools. These can lead to the reduction of efficiency and effectiveness of knowledge transfers. Therefore, the InKTI – Interdepartmental Knowledge Transfer Improvement Method is developed to support the improvement (in terms of speed and quality) of knowledge transfers, particularly in product and production engineering.This paper presents the first validation of the InKTI Method through a field study at the company Protektorwerk Florenz Maisch GmbH & Co. KG, which is a leading European company in the construction industry, to support the successful knowledge transfer into practice. Therefore, the research need is pointed out, and a concept for validation is developed and implemented. Afterward, the InKTI Method is evaluated based on its success, support as well as applicability.

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Section: Support Of Knowledge Transfer In Product and Production Engi...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

IMPROVING KNOWLEDGE TRANSFERS AT PROTEKTORWERK FLORENZ MAISCH GMBH & CO. KG THROUGH THE APPLICATION OF THE INKTI – INTERDEPARTMENTAL KNOWLEDGE TRANSFER IMPROVEMENT METHOD

Klippert

Schäfer

Böllhoff³

et al. 2023

Proc. Des. Soc.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the current state of research, some results show how the speed and quality of knowledge transfer can be improved. By implementing so-called interventions, which affect defined influencing factors of knowledge transfer, positive effects could be proven in a product engineering context (Albers et al 2019;Klippert et al, 2023c). However, those models either represent abstract contexts of knowledge transfer or focus only on product engineering.…”

Section: Introductionmentioning

confidence: 99%

A Method to Support the Improvement of Knowledge Transfers in Product and Production Engineering

Albers,

Klippert,

von Klitzing

et al. 2023

Proc. Des. Soc.

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The product engineering process as part of the product life cycle includes product and production system development as well as production. In integrated product and production engineering (PPE), knowledge transfer is an important success factor. Optimizing the efficiency and effectiveness of knowledge transfers can, for example, support the avoidance of costly, production-related changes to the product design. The current state of research describes different models of knowledge transfer as well as factors that influence it. Some results show how the speed and quality of knowledge transfer can be improved by implementing so-called interventions. However, those models either represent abstract contexts of knowledge transfer or focus only on product engineering. Therefore, a literature analysis is conducted to identify the system of objectives for a method, that supports the improvement of knowledge transfer in PPE. Subsequently, the system of objectives is operationalized to provide the basis for the InKTI – Interdepartmental Knowledge Transfer Improvement Method, which is applicable, supports the user in improving knowledge transfers in PPE, and aims to increase the quality and speed of knowledge transfers.

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“…, the third industrial revolution began after the discovery of computers and robotics that were used to support industrial automation technology (Klingenberg et al, 2022). Industry 4.0 begins with the development of Internet technology that is implemented in production systems or often called Cyber-Physical Systems (CPS) or Industrial Internet of Things (IIoT) (Klippert et al, 2020). Industry 4.0 is also expected to increase the competitiveness of SMIs in Indonesia (Lookman et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Human Resources Pillars in Industry Readiness Index to Transform towards Industry 4.0

Sayekti,

Suhariadi,

Herachwati

2023

bmss

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Developed countries have implemented Industry 4.0 in the process and manufacturing industry sectors. Industry 4.0 transformation will positively impact the industry and the country. Indonesia introduced a guide for the industry in transforming to Industry 4.0 in its action for Making Indonesia 4.0. The Indonesia Industry 4.0 Readiness Index (INDI 4.0) is presented to assist the industry in carrying out transformations, with the pillar of human resources as the highest parameter. It is necessary to conduct an early evaluation of the industry to introduce INDI 4.0. This research aims to evaluate the level of industry readiness in transforming to Industry 4.0. The method in this study used a survey of Small and Medium Industries (SMI=IKM) in Bogor City. Three SMIs were selected for interviews according to INDI 4.0 guidelines and Toolbox Industrie 4.0. The evaluation results using the INDI 4.0 guidelines show that SMI A has a higher level of readiness, followed by SMI C and B. In line with the results of the INDI 4.0 assessment, Toolbox Industrie 4.0 also has the same results. SMI A has a higher level of readiness, followed by SMI C and B. In Toolbox Industrie 4.0, there is no element of assessment for human resources due to cultural differences between Germany and Indonesia, which still require special attention for human resources.

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Industrie 4.0 – An empirical and literature-based study how product development is influenced by the digital transformation

Cited by 8 publications

References 8 publications

IMPROVING KNOWLEDGE TRANSFERS AT PROTEKTORWERK FLORENZ MAISCH GMBH & CO. KG THROUGH THE APPLICATION OF THE INKTI – INTERDEPARTMENTAL KNOWLEDGE TRANSFER IMPROVEMENT METHOD

IMPROVING KNOWLEDGE TRANSFERS AT PROTEKTORWERK FLORENZ MAISCH GMBH & CO. KG THROUGH THE APPLICATION OF THE INKTI – INTERDEPARTMENTAL KNOWLEDGE TRANSFER IMPROVEMENT METHOD

A Method to Support the Improvement of Knowledge Transfers in Product and Production Engineering

Evaluation of Human Resources Pillars in Industry Readiness Index to Transform towards Industry 4.0

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