Management of Engineering Design Process in Collaborative Situation

Robin, Vincent; Rose, Bertrand; Girard, Philippe; Lombard, Muriel

doi:10.1007/1-84628-210-1_21

Cited by 8 publications

(7 citation statements)

References 11 publications

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“…For example, these indicators must evaluate and measure the relevance and the dynamic impact generated by the use of this process as well as the gains in term of delay and quality that it implies. To tighten the link with the organization perspectives as initiated in [16] is also an issue of this on-going study.…”

Section: Discussionmentioning

confidence: 99%

Towards a framework to manage formalised exchanges during collaborative design

Lombard¹,

Yesilbas²

2006

Mathematics and Computers in Simulation

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Section: Discussionmentioning

confidence: 99%

Towards a framework to manage formalised exchanges during collaborative design

Lombard¹,

Yesilbas²

2006

Mathematics and Computers in Simulation

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“…4‐7) and are often associated with issues surrounding power and trust. Furthermore, while flexibility and to a lesser extent changeability are recognised for manufacturing and supply, those papers that address collaborative networks for design and new product development most often take a stable network as starting point (Chen and Duan, 2007; Chung et al , 2002; Erbe and Müller, 2006; Kamrani, 2008; Robin et al , 2006). Hence, those researchers that include or focus on design and new product development are advised to extend their concepts to include reconfiguration and entry and exit of actors.…”

Section: Analysis and Findingsmentioning

confidence: 99%

Appraising interdisciplinary contributions to theory for collaborative (manufacturing) networks

Dekkers

Kühnle

2012

Journal of Manufacturing Technology Management

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PurposeProgress in theory building in the field of collaborative networks in manufacturing is preponderantly seen in contributions from disciplines outside manufacturing science. Interdisciplinary research is one way of accelerating the development of appropriate theory for this emerging domain where industrial practice has moved beyond the state of the art of scientific knowledge for establishing workable, competitive solutions. The purpose of this paper is to examine to what extent interdisciplinary research has contributed to a better understanding of collaborative (manufacturing) networks.Design/methodology/approachTo find out more about provenances of on‐going studies, to identify clusters of contributions and to provide direction for future work of researchers in this domain, publications of the past 22 years have been evaluated. To retrieve these contributions, a structured literature review has been undertaken by applying keywords to selected databases and using a strictly defined stepwise procedure. In total, 202 publications of all kinds have been evaluated.FindingsFrom the analysis of the results, it appears that most interdisciplinary contributions to collaborative (manufacturing) networks rely on one original outside discipline for either developing solutions or advancing theoretical insight. Consequently, and after further analysis, it seems that researchers in collaborative networks hardly resort to multi‐disciplinary approaches, unless “natural”; further advances might arrive from stimulating these multi‐disciplinary avenues rather than sticking to more mono‐disciplinary, and less risky, takes on both applications and theoretical insight. A more detailed investigation of the value of contributions reveals that efforts to make interdisciplinary advances are either difficult or limited. Also, the findings indicate that researchers tend to follow a more “technical” approach to decision making by actors in networks rather than searching for a shift in paradigm.Originality/valueWhile setting out these directions for future research and guiding research, this first‐of‐its‐kind review introduces the collaboration model as a systematic approach to collaborative (manufacturing) networks. This model might serve as a reference model to integrate disciplines for addressing the characteristics of Collaborative Networks. Its use in the review led to the finding that typical traits of networks, such as changeability, supplementary assets and decentralisation of decision making, are under‐researched.

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“…The more facilitated and pertinent the exchanges of knowledge are, the more efficient the collaborative design process is. To formalise these exchanges and this knowledge, we suggest integrating them in the Robin et al's design system modelling [7]. Following section shows how knowledge could be integrated in this general design system modelling in order to influence management of the design process.…”

Section: Rose Et Al's Propositionmentioning

confidence: 99%