Partitioning Tasks to Product Development Teams

Braha, Dan

doi:10.1115/detc2002/dtm-34031

Cited by 27 publications

(23 citation statements)

References 16 publications

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“…This is based on minimizing assembly time. Braha [16], on the other hand, suggests deciding on a team size based on the maximum number of attributes that a team can handle, and that this can be used to decide what to include into modules. These are two suggestions, but so far there appears to be no universally accepted method for defining the degree of modularity in a specific case.…”

Section: A Modularitymentioning

confidence: 99%

Degree of Modularity in Engineering Systems and Products with Technical and Business Constraints

Hölttä‐Otto

Weck

2007

Concurrent Engineering

162

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There is consensus that modularity has many benefits from cost savings due to increased commonality to enabling a higher variety of products. Full modularity is, however, not always achievable. How engineering systems and products whose design is heavily influenced by technical constraints, such as weight or size limitations, tend to exhibit rather integral architectures is shown in this study. For this, two metrics are defined on the basis of a binary design structure matrix (DSM) representation of a system or product. The non-zero fraction (NZF) captures the sparsity of the interrelationships between components between zero and one, while the singular value modularity index (SMI) captures the degree of internal coupling, also between zero and one. These metrics are first developed using idealized canonical architectures and are then applied to two different product pairs that are functionally equivalent, but different in terms of technical constraints. Empirical evidence is presented that the lightweight variant of the same product tends to be more integral, presumably to achieve higher mass efficiency. These observations are strengthened by comparing the results to another, previously published, modularity metric as well as by comparing sparsity and modularity of a set of 15 products against a control population of randomly generated architectures of equivalent size and density. The results suggest that, indeed, some products are inherently less modular than others due to technological factors. The main advantage of SMI is that it enables analysis of the degree of modularity of any architecture independent of subjective module choices.

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Section: A Modularitymentioning

confidence: 99%

Degree of Modularity in Engineering Systems and Products with Technical and Business Constraints

Hölttä‐Otto

Weck

2007

Concurrent Engineering

162

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“…In this regard virtual team research has yielded somewhat paradoxical conclusions. On the one hand analyses of micro-level interactions lead some [8,9] to suggest that technology-mediated interactions should be minimized by partitioning tasks such that the interdependencies requiring rich interactions are performed face-to-face. This is because technology-mediated communications are felt to be "lean" [10], with a limited ability to transmit social cues and hence create the sense of social presence on which higher level social relationships can be built [11].…”

Section: Virtuality and Teamsmentioning

confidence: 99%

The Strength of Virtuality in Teams: Social Capital built on Weak Ties

Dixon

Panteli

2007

2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07)

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Research into virtual teams has long focused on "glass half-empty" comparisons with "traditional" teams, exploring the ramifications of technologymediated interactions that lack the social context and cues of face-to-face encounters. With this paper we extend an emerging argument for a new perspective focusing instead on a more optimistic picture in which the glass is actually half-full and technology-mediated interactions play a positive role alongside face-to-face interactions in teams. To achieve this we employ social capital, and in particular "weak ties", as a sensitizing concept or lens through which to view the emerging perspective of "virtuality", defined in terms of "discontinuities" in teams. The thinking this develops is used to examine data gathered from a year-long case study of a UK government-funded "virtual centre of excellence". The findings highlight task and membership boundaries as unique additional discontinuities to be considered in the definition of virtuality.

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“…In this method, the creation of the DSM is applicable because DM has been created in the early phase of system design. Generally, the activities can often be offered as sets of design parameters that the transdisciplinary team actually work to be determined [15][16]. Consequently, the DSM that developed based on this method is the activity-based DSM that capture the interrelation among design activities.…”

Section: Develop Activity-based Dsm From the Design Matrixmentioning

confidence: 99%

New Model-Based Systems Engineering Methodology Based on Transdisciplinary Quality System Development Lifecycle Model

El-Sheikh¹,

Zayan²,

Elhady³

2019

JESA

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The development of complex systems with multiple constraints is the research hotspot in recent decades. The models-based systems engineering (MBSE) methodologies are often adopted to develop such systems, but they cannot cover all system development dimensions (SDDs). Therefore, this paper attempts to propose a new methodology for developing the said systems, aiming to minimize development time and cost and maximize system quality, orgaizational efficiency and user satisfaction. The transdisciplinary quality system development lifecycle (TQSDL) model was modified to serve as a generic MBSE methodology. Both Quality Function Deployment (QFD) and the dependency structure matrix (DSM) were integrated into the TQSDL process. The proposed MBSE methodology fully cover all SDDs, the roles of the Systems Engineering Manager (SEM) and the systems engineering (SE) processes. In addition, the methodology enables developers to estimate the changes of development cost induced by changing user demands. Keywords: transdisciplinary quality system development lifecycle (TQSDL) model, model-based systems engineering (MBSE), dependency structure matrix (DSM), quality function deployment (QFD), systems engineering (SE)

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Partitioning Tasks to Product Development Teams

Cited by 27 publications

References 16 publications

Degree of Modularity in Engineering Systems and Products with Technical and Business Constraints

Degree of Modularity in Engineering Systems and Products with Technical and Business Constraints

The Strength of Virtuality in Teams: Social Capital built on Weak Ties

New Model-Based Systems Engineering Methodology Based on Transdisciplinary Quality System Development Lifecycle Model

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