A systematic literature review on modular product design

Bonvoisin, Jérémy; Halstenberg, Friedrich A.; Buchert, Tom; Stark, Rainer

doi:10.1080/09544828.2016.1166482

Cited by 138 publications

(107 citation statements)

References 46 publications

Supporting

Mentioning

104

Contrasting

Unclassified

Order By: Relevance

“…Modular cell design enables rapid assembly of strains with desirable phenotypes from a modular (chassis) cell, [1] resembling the efficiency advantages of modular design in conventional engineering disciplines. [7,10] A modular cell is constructed by eliminating genes from a parent strain to maintain only core metabolic pathways shared across all pathway modules. Each module enables an optimized target product synthesis phenotype that leads to high yields, titers, and production rates.…”

Section: Multi-objective Modular Cell Designmentioning

confidence: 99%

“…Optimal solutions for a multi-objective optimization problem (1)(2)(3)(4)(5)(6)(7)(8) are defined based on the concept of domination: A vector a = (a 1 , . .…”

Section: Optimal Solutions For a Multi-objective Optimization Problemmentioning

confidence: 99%

“…[3] In industrial biotechnology, with recent advancements in synthetic biology and metabolic engineering, microorganisms can be genetically modified to produce a large space of molecules with broad applications using renewable lignocellulosic biomass or waste products as feedstocks. [4,5] Due to the current strain design process that is prohibitively laborious and expensive [6], the application of modular design principles commonly used in engineering [7] to microbial biocatalysis has been recently proposed to overcome this challenge. [1,[8][9][10] This modular cell design approach, known as ModCell, uses multi-objective optimization to account for the competing cellular objectives when cellular metabolism is (re)designed in a modular fashion to produce a diverse class of target chemicals.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Comparison of Multi-objective Evolutionary Algorithms to Solve the Modular Cell Design Problem for Novel Biocatalysis

Garcia

Trinh

2019

Preprint

View full text Add to dashboard Cite

A large space of chemicals with broad industrial and consumer applications could be synthesized by engineered microbial biocatalysts. However, the current strain optimization process is prohibitively laborious and costly to produce one target chemical and often requires new engineering efforts to produce new molecules. To tackle this challenge, modular cell design based on a chassis strain that can be combined with different product synthesis pathway modules has been recently proposed. This approach seeks to minimize unexpected failure and avoid task repetition, leading to a more robust and faster strain engineering process. The modular cell design problem was mathematically formulated using a multi-objective optimization framework.[1] In this study, we evaluated a library of the state-of-the-art multi-objective evolutionary algorithms (MOEAs) to identify the most effective method to solve the modular cell design problem. Using the best MOEA, we found better solutions for modular cells compatible with many product synthesis modules. Furthermore, the best performing algorithm could provide better and more diverse design options that might help increase the likelihood of successful experimental implementation. We identified key parameter configurations to overcome the difficulty associated with multi-objective optimization problems with many competing design objectives. Interestingly, we found that MOEA performance with a real application problem, e.g., the modular strain design problem, does not always correlate with artificial benchmarks. Overall, MOEAs provide powerful tools to solve the modular cell design problem for novel biocatalysis.

show abstract

Section: Multi-objective Modular Cell Designmentioning

confidence: 99%

“…Optimal solutions for a multi-objective optimization problem (1)(2)(3)(4)(5)(6)(7)(8) are defined based on the concept of domination: A vector a = (a 1 , . .…”

Section: Optimal Solutions For a Multi-objective Optimization Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of Multi-objective Evolutionary Algorithms to Solve the Modular Cell Design Problem for Novel Biocatalysis

Garcia

Trinh

2019

Preprint

View full text Add to dashboard Cite

show abstract

“…The division and integration of the modules into a functional whole depends on the modular approach adopted and is critical to ensure the success of a modular system. Literature offers a wide range of modularity design methods and metrics (Bonvoisin et al 2016) that are motivated by different modularity drivers. Modular design methods typically attempt to maximise modularity rather than to trade-off modularity with other attributes of the systems.…”

Section: Introductionmentioning

confidence: 99%

A network science-based assessment methodology for robust modular system architectures during early conceptual design

Paparistodimou

Duffy

Whitfield

et al. 2019

Journal of Engineering Design

View full text Add to dashboard Cite

This article describes a methodology to assess, during the early conceptual design stage, the robustness, and modularity of engineering system architectures, which integrates concepts from network science with engineering systems. The application specifically focuses on the architecture of the power, propulsion, and cooling systems of a naval ship. The methodology incorporates a binary Design Structure Matrix as the basis for an assessment of redundancy and modularity effects on robustness, in response to the disruption of modules in the architecture. Robustness is used to drive the module selection, which supports the formulation of a robust module configuration subject to the level of redundancy in the system architecture. The case study results demonstrated that redundancy promotes robustness of the architecture and enables modularity; however, high levels of redundancy in comparison to medium level redundancy does not significantly improve robustness. The novel contribution of this article relates to the combined quantitative assessment of redundancy, modularity and robustness in a collective methodology. This methodology supports conceptual design decision making, allowing early prediction of compliance of requirements that enable cost, development time and survivability targets to be achieved. ARTICLE HISTORY

show abstract

“…Indeed, the origin of agility, namely, the capability that includes organizational structure, information systems, and logistics processes, lies in flexible manufacturing systems [8]. The product architecture has important effects on the whole product life cycle, hence affecting sustainable characteristics of a product [9]. In terms of the ability to influence the product life cycle and sustainable characteristics, modular design has recently received great attention with regard to sustainable design [10].…”

Section: Introductionmentioning

confidence: 99%

An Empirical Study on the Manufacturing Firm’s Strategic Choice for Sustainability in SMEs

Suh

Lee

2018

Sustainability

View full text Add to dashboard Cite

Abstract:To survive in the current competitive, unpredictable business environment, it is significant for firms to search and enforce capabilities that lead them to adapt and cope with dynamic changes of environment for their sustainability. We try to connect operation issues with sustainability in this paper. From the perspective of the dynamic capabilities of the firm, this study suggests a conceptual model that presents relationships among supply chain visibility, modular design, supply chain flexibility, and agility. We do not focus on the module buyer but on the small and middle-sized enterprises (SMEs). An empirical study is performed to verify the relationships proposed, using datasets collected from 232 manufacturing SMEs as module suppliers in South Korea. We used SPSS to analyze data and structural equation modeling to verify the hypotheses of the research model. The important contributions of this study are as follows. Firstly, we suggest relationships among supply chain visibilities and a modular design for supply chain flexibility and agility in sustainable performance. Secondly, we show that supply chain visibility directly leads firms to implement modular design in sustainable development. Thirdly, we verify the importance of supply chain visibility, not for module buyers, but for module suppliers by switching views in terms of SMEs' sustainability. Lastly, this study shows that the suppliers' modular design affects supply chain flexibility and agility, which is consistent with the findings presented in the literature.

show abstract

A systematic literature review on modular product design

Cited by 138 publications

References 46 publications

Comparison of Multi-objective Evolutionary Algorithms to Solve the Modular Cell Design Problem for Novel Biocatalysis

Comparison of Multi-objective Evolutionary Algorithms to Solve the Modular Cell Design Problem for Novel Biocatalysis

A network science-based assessment methodology for robust modular system architectures during early conceptual design

An Empirical Study on the Manufacturing Firm’s Strategic Choice for Sustainability in SMEs

Contact Info

Product

Resources

About