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- Areth Koroth, Rohith
(författare)
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Supporting production preparation during product development using production requirements
- 2023
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Product development is affected by uncertainties due to changing customer requirements, changing regulations, technological developments, long lead times, high product complexities, and geopolitical issues. Automation, increased flexibility of production, and reduced lead times are drivers that allow product development to be competitive in this scenario. Design engineers should be aware of production capabilities to facilitate early producibility assessments and to avoid late changes. Production preparation is identified as an important activity in the product development process, whereby the producibility of a product is assessed. In this thesis, the current state of production preparation during product development is investigated and a method is introduced supporting production preparation using production requirements. The work was carried out using the design research methodology framework and comprised four studies based on the four steps of the framework. The research clarification and descriptive study 1 phases aimed at developing understanding and were done by means of data collection at the companies through interviews and document studies. The next two steps were prescriptive study and descriptive study 2, which aimed at developing and evaluating the support. This was done through observation, workshops, and solution development. The production preparation process is supported by Design for Manufacturing and Assembly, failure mode and effects analysis, lesson-learnt documents, and computer-aided design, and the efficiency of the process is dependent on individual skills and knowledge. Tools to support common understanding, remove ambiguity in requirements, and enable collaboration between design and production engineers are needed. The developed method allows for the identification, definition, structuring, and sharing of production requirements, aligning with varying maturities of product and production systems during product development. This helps improve the collaboration between design and production engineers for production preparation.
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| 2. |
- Isaksson, Ola, 1969, et al.
(författare)
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Trends, observations and drivers for change in systems engineering design
- 2017
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Ingår i: Proceedings of the International Conference on Engineering Design, ICED. - : The Design Society. ; 3, s. 201-210
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Konferensbidrag (refereegranskat)abstract
- Manufactures, developing products, need to adapt and improve their practices taking advantage of technology advancements and simultaneously develop products and solutions to fit a new world. This paper discusses how societal and technological trends drive the need for change and evolution in what is called Systems Engineering Design (SED), indicating a systems view on engineering design. Through an analysis and selected examples it is argued that SED capabilities need to better address the width and complexity of design problem, takes advantages of increased computational power and sensing technologies to master future challenges. An important factor for successful deployment and change in industrial context, is the need for interactive and visual AIDS and easily accessible support methods. This can pave the way also for advanced SED support.
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| 3. |
- Areth Koroth, Rohith, et al.
(författare)
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A method to capture and share production requirements supporting a collaborative production preparation process
- 2023
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Ingår i: Proceedings of the Design Society. - Cambridge : Cambridge University Press. ; , s. 273-282
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Konferensbidrag (refereegranskat)abstract
- The production preparation process (3P) enables collaboration between design and production engineers during product development but its efficiency is limited by the abundance of documentation of manufacturing constraints and capabilities. Empirical studies showed that use of production requirements can increase the efficiency of 3P, however, the support for production engineers to capture and share production requirements is scarce. A method to support production engineers in identifying, defining, structuring and sharing production requirements and collaborating with design engineers is presented. The method has three major parts - focus areas and requirement categories, a worksheet for production requirements capturing and prioritization, and a workflow for using the worksheet. The method was developed in collaboration with practitioners and contributes to the existing knowledge by providing production engineers with a structured way of working with production requirements. Evaluation of the method in the case company showed its usability when developing product variants and that additional work is needed to support the development of new product families and assembly lines.
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| 4. |
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| 5. |
- Areth Koroth, Rohith, et al.
(författare)
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Aligning production requirements with product and production maturities : enhancing production preparation during product development
- 2024
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Ingår i: Proceedings of the Design Society. - : Cambridge University Press. ; , s. 195-204
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Konferensbidrag (refereegranskat)abstract
- Product development is multidisciplinary with high uncertainties necessitating coordinated decision-making between design and production. This paper presents a method to work with production requirements to support production preparation during product development aligned with different product and production maturities. The work was conducted in collaboration with two global manufacturing firms. The method supports identification, definition, and structuring of production requirements and the collaboration between design and production engineers for requirement prioritization and follow-up.
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| 6. |
- Areth Koroth, Rohith, et al.
(författare)
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Design for Producibility : A Case Study on Theory, Practice and Gaps
- 2022
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Ingår i: Transdisciplinarity and the Future of Engineering. - Amsterdam : IOS Press. - 9781643683386 - 9781643683393 ; , s. 134-143
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Konferensbidrag (refereegranskat)abstract
- Changing customer requirements, regulations, technology and regulations, shift to automated assembly and product variety are common challenges faced by many manufacturing industries and alignment between product and production system is critical for business success. Design engineers should be aware of production constraints and capabilities to ensure efficient manufacture and assembly of products that are developed. This requires different and detailed support to guide the work, evaluate different design solutions, enable continuous and concurrent work with design for producibility and production preparation. A study was conducted in three companies to understand alignment and integration of product development and production preparation processes. Also, utilization of production requirements, design for manufacture and assembly (DFMA) and failure modes and effect analysis (FMEA) to support design for producibility (DFP) was studied. Currently, production preparation is done through discussions between design and production engineers. Production preparation and work with DFMA and FMEA is skill and experience dependent. Definition, structuring and sharing of production requirements on different system levels, from production and product perspectives are identified as critical to supporting design for producibility and production preparation. The work with FMEA and DFMA can be developed and improved with systematic and structured way of working with production requirements.
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| 7. |
- Areth Koroth, Rohith, et al.
(författare)
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Product Platforms and Production : Current State and Future Research Directions Targeting Producibility and Production Preparation
- 2021
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Ingår i: Transdisciplinary Engineering for Resilience: Responding to System Disruptions. - Amsterdam : IOS Press. - 9781643682082 - 9781643682099 ; , s. 332-341
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Konferensbidrag (refereegranskat)abstract
- New business opportunities are created when the advantage of changeable manufacturing systems expand beyond increased freedom in production location to increased freedom in product design. However, there are new challenges to overcome, including improved ability to design and adapt products when requirements from stakeholders quickly change and/or new technology rapidly evolves. Simultaneously, the producibility of each design must be ensured while keeping the lead-time of the whole process to the minimum. Changeable product platforms (both flexible and adaptable platforms) are gaining attention in both research and industry. However, the level of alignment and integration of product development and production is critical for the efficiency of the product realization process. In this study, we map the state of practice in five companies with an initial literature review. The companies had no formal platform strategy and faced challenges with variant management and development time, had manual processes for production preparation and reuse of technical solutions and knowledge happened through components and documents. The production preparation and reuse were dependent on the engineer’s competence. Future work will concentrate on identifying how manufacturing inputs can be added as a design asset in a changeable product platform to enhance producibility and production preparation.
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| 8. |
- Arjomandi Rad, Mohammad, et al.
(författare)
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Correlation-based feature extraction from computer-aided design, case study on curtain airbags design
- 2022
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Ingår i: Computers in industry (Print). - : Elsevier. - 0166-3615 .- 1872-6194. ; 138
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Tidskriftsartikel (refereegranskat)abstract
- Many high-level technical products are associated with changing requirements, drastic design changes, lack of design information, and uncertainties in input variables which makes their design process iterative and simulation-driven. Regression models have been proven to be useful tools during design, altering the resource-intensive finite element simulation models. However, building regression models from computer-aided design (CAD) parameters is associated with challenges such as dealing with too many parameters and their low or coupled impact on studied outputs which ultimately requires a large training dataset. As a solution, extraction of hidden features from CAD is presented on the application of volume simulation of curtain airbags concerning geometric changes in design loops. After creating a prototype that covers all aspects of a real curtain airbag, its CAD parameters have been analyzed to find out the correlation between design parameters and volume as output. Next, using the design of the experiment latin hypercube sampling method, 100 design samples are generated and the corresponding volume for each design sample was assessed. It was shown that selected CAD parameters are not highly correlated with the volume which consequently lowers the accuracy of prediction models. Various geometric entities, such as the medial axis, are used to extract several hidden features (referred to as sleeping parameters). The correlation of the new features and their performance and precision through two regression analyses are studied. The result shows that choosing sleeping parameters as input reduces dimensionality and the need to use advanced regression algorithms, allowing designers to have more accurate predictions (in this case approximately 95%) with a reasonable number of samples. Furthermore, it was concluded that using sleeping parameters in regression-based tools creates real-time prediction ability in the early development stage of the design process which could contribute to lower development lead time by eliminating design iterations.
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| 9. |
- Arjomandi Rad, Mohammad, et al.
(författare)
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Data-driven and Real-time Prediction Models for Highly Iterative Product Development Processes
- 2022
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Ingår i: Transdisciplinarity and the Future of Engineering. - : IOS Press. - 9781643683386 - 9781643683393 ; , s. 463-472
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Konferensbidrag (refereegranskat)abstract
- Some high-level technical products are associated with transdisciplinary simulation-driven design processes. Therefore, their design process involves many stakeholders and is prone to frequent changes, leading to a highly iterative process with a long lead time. Despite the decades of statistical approximations and metamodeling techniques on prediction models, companies are still striving toachieve fully automated real-time predictions in early design phases. The literature study shows a gap in existing methods such as not being fully real-time or suffering from high dimensionality. This paper presents a generic model for the development process of such described products and motivation for such modeling through a series of semi-structured interviews with an automotive sub-supplier company. The proposed process model points to the digital verification in every design loop as the bottleneck which is then confirmed by interviewees. As alternative solutions to overcome the problems, a method for data-driven and real-time prediction models is presented to enable the designer to foresee the consequence of their decision in the design phase. To evaluate the method, two examples of such real-time metamodeling techniques, developed in an ongoing research project are discussed. The proposed examples confirm that the framework can reduce lead time spent on digital verification and therefore accelerate the design process in such products.
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