Product-Production-CoDesign: An Approach on Integrated Product and Production Engineering Across Generations and Life Cycles

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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.

Section: Product and Production Engineeringmentioning

confidence: 99%

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

Albers,

Klippert,

von Klitzing

et al. 2023

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“…Nevertheless, most of them neither display the process throughout the whole product life cycle nor over more than one product generation. Therefore, an approach on integrated PPE across generations and life cycles is introduced, which is described as Product-Production-CoDesign (Albers et al 2022). However, in practice, the processes of developing and producing a product are often rather sequential than simultaneous.…”

Section: Product and Production Engineeringmentioning

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

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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.

“…Therefore, a process model supporting the search for relevant reference system elements was derived by . Additionally, Albers et al (2022) see the need for methods and tools supporting systematic reuse of product and production system-related knowledge and their interdependencies. Therefore, they introduce the approach of Product-Production-CoDesign (PPCD).…”

Section: Modell Of Pgementioning

confidence: 99%

Method for Reference-Based Manufacturing Cost Estimation – Evaluation Study Using a Prototype

Hellweg,

Cacaj,

Haneke

et al. 2023

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Within product development, manufacturing cost estimation provides a sound basis for design and management decisions. This secures companies profitability, but the effort is high and deep knowledge at the interface of design, manufacturing and costs is needed. These issues can be eased with automation enabled by semantic technologies. Therefore, the authors developed a method for reference-based manufacturing cost estimation and created a prototype. This research evaluates the method and the prototype. Observation, interview and questionnaire were conducted with ten experienced cost engineers at a large German manufacturing company.Based on its results, the study shows the methods contribution to lower estimation effort, while the impact on transparency and the knowledge base was only partly verified. The method steps show different automation potential, so an incremental automation should be considered. Even though semantic technologies show high potential for identifying reference system elements in this study, the limiting factor for automation in manufacturing cost estimation remains the low availability of product and manufacturing information and missing knowledge of its connection within product development.