A systematic literature review of product platform design under uncertainty

Han, Xin; Li, Rong; Wang, Jian; Ding, Guofu; Qin, Shengfeng

doi:10.1080/09544828.2019.1699036

Cited by 30 publications

(27 citation statements)

References 93 publications

(69 reference statements)

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“…A platform-based development can help to achieve efficient reuse across variants while facing challenges such as an increase in the frequency of introduction of new products, change of existing parts, changes in government regulations and changes in processes [15]. Han et al [16] propose the concept of Uncertainty-Oriented Product Platform (UOPP) to increase the adaptability of enterprises to uncertainties. UOPP includes platform models such as flexible product platform, adaptable product platform, market-driven product platform and sustainable product platform [16].…”

Section: Frame Of Referencementioning

confidence: 99%

“…Han et al [16] propose the concept of Uncertainty-Oriented Product Platform (UOPP) to increase the adaptability of enterprises to uncertainties. UOPP includes platform models such as flexible product platform, adaptable product platform, market-driven product platform and sustainable product platform [16]. A flexible platform considers into account uncertainties and consists of flexible elements.…”

Section: Frame Of Referencementioning

confidence: 99%

“…Simulations, better structure for design reviews, a design that supports automation and flexibility, early supplier involvement and training for new employees are the identified improvement areas. and Han et al [16] identified the challenges as gradual determination of product characteristics, product variations, uncertainties in markets, customer requirements, technologies, policies, and regulations. These were in line with the challenges identified from the current state of practice and Han et al [16] propose a platform approach to overcome these.…”

Section: C5mentioning

confidence: 99%

See 2 more Smart Citations

Product Platforms and Production – Current State and Future Research Directions Targeting Producibility and Production Preparation

Koroth

Lennartsson

Raudberget

et al. 2021

Advances in Transdisciplinary Engineering

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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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Section: Frame Of Referencementioning

confidence: 99%

Section: Frame Of Referencementioning

confidence: 99%

Section: C5mentioning

confidence: 99%

See 1 more Smart Citation

Product Platforms and Production – Current State and Future Research Directions Targeting Producibility and Production Preparation

Koroth

Lennartsson

Raudberget

et al. 2021

Advances in Transdisciplinary Engineering

View full text Add to dashboard Cite

show abstract

“…Han et al, 2021); fuzzy front-ends for product development (Park et al, 2021); surrogate models and computational complexity (Alizadeh et al, 2020); smart design (Pessôa & Becker, 2020); design and poverty (Jagtap, 2019); mass customization (Ferguson et al, 2014); product stigma (Schröppel et al, 2021); uncertainty (X. Han et al, 2020); decision making methods (Renzi et al, 2017); modular product design (Bonvoisin et al, 2016); or productservice systems (Vasantha et al, 2012).…”

Section: Relation To Other Surveysmentioning

confidence: 99%

Research methods in Engineering Design: A systematic literature review

Mancebo¹,

Villalobos²,

Llorente³

et al. 2021

Preprint

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The relation between scientific research and industrial design is fraught with controversy. While the number of academic PhD programs on product design grows because the discipline is in its infancy, there is no consolidated method for systematically approaching the generation of knowledge in this domain. This paper aims to review recently published papers from the four top-ranked journals in engineering design in order to analyse the research methods that are frequently used. The research questions consider the aim and contributions of the papers, as well as which experimental design and which sources of data are being used. Frequency tables show the high variety of approaches and aims of the papers, combining both qualitative and quantitative empirical approaches and analytical methods. Most of the papers focus on methodological concerns or on delving into a particular aspect of the design process. Data collection methods are also diverse without a clear relation between the type of method and the objective or strategy of the research. This paper aims to act as a valuable resource for academics, providing definitions related to research methods and referencing examples, and for researchers, shedding light on some of the weaknesses and challenges for current research in the domain of engineering design.

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“…These enterprises need to build a strong product system to resist the impact of other systems [ 14 ]. To supply niche markets, product seriation constitutes the product system, whose goal is to develop a modular platform and derive innovative products through a module configuration [ 15 ]. Numerous industrial examples have demonstrated the superiority of product seriation to ensure corporate competitiveness, such as Sony [ 16 , 17 ] and Hewlett Packard [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Design of Product Forms Based on Design Cognitive Dynamics and a Cobweb Structure

Yang

Zhang

et al. 2021

Computational Intelligence and Neuroscience

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Design is a complex, iterative, and innovative process. By traditional methods, it is difficult for designers to have an integral priori design experience to fully explore a wide range of design solutions. Therefore, refined intelligent design has become an important trend in design research. More powerful design thinking is needed in intelligent design process. Combining cognitive dynamics and a cobweb structure, an intelligent design method is proposed to formalize the innovative design process. The excavation of the dynamic mechanism of the product evolution process during product development is necessary to predict next-generation multi-image product forms from a larger design space. First, different design thinking stimulates the information source and is obtained by analyzing the designers’ thinking process when designing and mining the dynamic mechanism behind it. Based on the nonlinear cognitive cobweb process proposed by Francisco and a natural cobweb structure, the product image cognitive cobweb model (PICCM) is constructed. Then, natural cobweb predation behavior is simulated using a stimulus information source to impact the PICCM. This process uses genetic algorithms to obtain numerous offspring forms, and the PICCM’s mechanical properties are the energy loss parameters in the impact information. Furthermore, feasible solutions are selected from intelligent design sketches by the product artificial form evaluation system based on designers’ cognition, and a new product image cognitive cobweb system is reconstructed. Finally, a case study demonstrates the efficiency and feasibility of the proposed approach.

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A systematic literature review of product platform design under uncertainty

Cited by 30 publications

References 93 publications

Product Platforms and Production – Current State and Future Research Directions Targeting Producibility and Production Preparation

Product Platforms and Production – Current State and Future Research Directions Targeting Producibility and Production Preparation

Research methods in Engineering Design: A systematic literature review

Intelligent Design of Product Forms Based on Design Cognitive Dynamics and a Cobweb Structure

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