Macro level product development using design for modularity

Salhieh, Sa’ed M.; Kamrani, Ali Κ.

doi:10.1016/s0736-5845(99)00008-3

Cited by 67 publications

(32 citation statements)

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“…Alternatively, engineering performance criteria can drive the analysis. Salhieh and Kamrani (1999) suggest the use of a similarity measure to cluster components into independent modules. Most of their objectives are engineering criteria, such as operational functional requirements (as opposed to market or explicit cost targets), that focus on product performance.…”

Section: Product Performance / Qualitymentioning

confidence: 99%

Modularity and Commonality Research: Past Developments and Future Opportunities

Fixson

2007

Concurrent Engineering

144

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Research on modularity and commonality has grown substantially over the past 15 years.Searching 36 journals over more than the past 35 years, I identify over 160 references in the engineering and management literature that focus on modularity or commonality in the product and process development context. Each of the references is analyzed along the dimensions subject, effect, and research method. The subjects of these studies have been products, processes, organizations, and even innovations, although the set of references shows a strong preference towards products. Similarly, a broad range of effects has been studied, albeit with the topic cost dominating all other effects. A variety of research methods has been applied to the study of modularity and commonality but the distribution of research methods differs substantially for modularity and commonality research. Despite the wealth of existing research, there are still significant opportunities for future research. In particular, studies that incorporate modularity and commonality's multiple effects on various players along the supply chain, that combine multiple research methods, and that follow systems over time appear very promising.

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Section: Product Performance / Qualitymentioning

confidence: 99%

Modularity and Commonality Research: Past Developments and Future Opportunities

Fixson

2007

Concurrent Engineering

144

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“…There may be other methods to improve these clustering results, so the algorithm can be further improved. cluster alternatives Value A1 [1,17], [2], [3,4,5], [6], [5,7,8,9], [10,11,12], [13,14,15,16] -63.8333 A2 [1,17], [2], [3,4,5,7,8,9], [6], [10,11,12], [13,14,15,16] -49.9500 A3 [1,17], [2], [3,4,5], [6], [7,8,9], [10,11,12], [13,14,15,16] -55.4167 A4 [1,…”

Section: Discussionmentioning

confidence: 99%

“…A 5 ={ [4,10,11,12], [8], [3], [5,9], [1,17], [1,2,6,7,13,14,15,16] Table 3 shows the values of the five comprehensive evaluation alternatives. Among them, the result of the genetic clustering is the best.…”

Section: Genetic Clusteringmentioning

confidence: 99%

“…At this time, the design professors then select the better module partition result by comparing the results from different design objectives. Salhieh et al [8] use design for modularity by the Fuzzy Theory, a quantitative description and analysis algorithm. Stone et al [9] use a heuristic method for identifying modules for product architectures based on energy flow, material flow, and signal flow in architecture charts.…”

Section: Introductionmentioning

confidence: 99%

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Bio-Inspired Clustering of Complex Products Structure based on DSM

Yang¹,

Wang²,

Guo³

et al. 2015

ijacsa

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Abstract-Clustering plays an important role in the decomposition of complex products structure. Different clustering algorithms may achieve different effects of the decomposition. This paper aims to proposes a bio-inspired genetic algorithm that is implemented based on its reliable fitness function and design structure matrix (DSM) for clustering analysis of complex products. This new bio-inspired genetic algorithm captures the features of DSM, which is base on the biological evolution theory. Examples of these products include motorcycle engines that are presented for clustering. The five cluster alternatives are obtained from the regular clustering algorithm and the bio-inspired genetic algorithm, while the best cluster alternative comes from the bio-inspired genetic algorithm. The results show that this algorithm is well adaptable, especially when the product elements have complicated and asymmetric connections.

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“…Life cycle costs decrease with inclusion of modularity early in the design process [9]. According to Salhieh and Kamrani [10] and Shirly [11], the overall function performed by a product can be divided into subfunctions that can be implemented by different modules or components. Baldwin and Clark [12] define modularity as building a complex product or process from smaller subsystems that can be designed independently.…”

Section: Introductionmentioning

confidence: 99%

Development of modular manufacturing systems—a review

Shaik¹,

Rao

2014

Int J Adv Manuf Technol

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Manufacturers throughout the world are facing major new challenges, including shorter product life cycles and increasing competition. As companies strive to rationalize engineering design, manufacturing, and support processes and to produce a large variety of products at lower costs, modularity is becoming a focus. This paper reviews the methodologies for determining modular manufacturing systems while considering cost and performance. The manufacturing concept, termed modular production systems and modular manufacturing systems are aimed specifically at "hard" low to medium technology products, as typified by goods such as children's toys and kitchen appliances. It was proposed to increase the flexibility of the manufacturing operation in terms of its range of function, product, and service by modularizations and its ability to be easily reconfigured in the face of changing conditions.

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Macro level product development using design for modularity

Cited by 67 publications

References 0 publications

Modularity and Commonality Research: Past Developments and Future Opportunities

Modularity and Commonality Research: Past Developments and Future Opportunities

Bio-Inspired Clustering of Complex Products Structure based on DSM

Development of modular manufacturing systems—a review

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