Towards knowledge-based product development: the 3-D CAD model of knowledge creation

Baba, Yasunori; Nobeoka, Kentaro

doi:10.1016/s0048-7333(97)00040-1

Cited by 65 publications

(64 citation statements)

References 23 publications

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“…CPC software enable design engineers, product managers, and manufacturing engineers to collaborate across geographical and inter-organizational boundaries to gather design requirements from disparate sources, share product design information, conduct design iterations, verify and test product design and provide the final hand-off to other departments such as production and marketing (Adler, 1995;McGrath and Iansiti, 1998). Such systems support a broader range of design support and system-tosystem collaboration capabilities for real-time processing of structured and unstructured product data (Nambisan, 2003;Baba and Nobeoka, 1998). The scope of CPC software includes several processes which comprise the product development lifecycle as described in Table 1.…”

Section: Literature Reviewmentioning

confidence: 99%

“…CPC shortens product design times by allowing design engineers to create final designs more quickly by providing efficient storage and retrieval capabilities and automating predictable computational procedures (Cordero, 1991). By facilitating design reuse, through the use of shared databases and codification of tacit knowledge, CPC allows product design teams to compress the design time through reuse of past designs (Adler, 1995;Baba and Nobeoka, 1998).…”

Section: Product Design Cycle Timementioning

confidence: 99%

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Understanding the Impact of Collaboration Software on Product Design and Development

Banker

Bardhan

Asdemir

2006

Information Systems Research

140

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Prior research suggests that supply chain collaboration has enabled companies to compete more efficiently in a global economy. We investigate a class of collaboration software for product development called collaborative product commerce (CPC), and estimate its impact on product quality, design cycle time and development cost. We develop a theoretical framework to study the impact of CPC on product design and development. Based on data from CPC implementations in 72 firms, we test and empirically validate research hypotheses on the impact of CPC. We find that CPC implementation is associated with greater collaboration among product design teams which, in turn, have a significant positive impact on product quality and a reduction in cycle time and product development cost. Based on a subset of firms for which operational metrics were collected, we find that CPC is associated with substantial quantifiable improvements in product design quality, design turnaround times, and product development and rework costs.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Product Design Cycle Timementioning

confidence: 99%

Understanding the Impact of Collaboration Software on Product Design and Development

Banker

Bardhan

Asdemir

2006

Information Systems Research

140

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“…In addition to their classic advantages such as improvement of product quality [6] and technical communication [7,8], and reduction of product development times [9], CAD models provide even greater benefits when combined with Product Data Management (PDM) systems [10], as they become facilitators of the concurrent development that is possible in distributed environments [11].…”

Section: Cad Model Reusabilitymentioning

confidence: 99%

Explicit Communication of Geometric Design Intent in CAD: Evaluating Annotated Models in the Context of Reusability

Camba

Contero

Otey

2014

Volume 7: 2nd Biennial International Conference on Dynamics for Design; 26th International Conference on Design Theory and Meth

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CAD model reusability is largely determined by a proper communication of design intent, which is usually expressed implicitly within the model. Recent studies have suggested the use of 3D annotations as a method to embed design information in the model INTRODUCTIONCAD model reuse is a key issue to leverage current commercial history-based parametric CAD systems. The degree of flexibility and the ease of alteration of a CAD model strongly depend on the modeling methodology rather than the technology. In the context of the Model-Based Enterprise (MBE), an efficient use of 3D CAD models determines the benefits of a successful implementation. In theory, modern mechanical CAD systems allow designers and engineers to reuse CAD elements throughout different stages of the product lifecycle, both as templates for new product configurations that are similar in function or shape and as a starting point for new product developments, thus accelerating the design process and increasing productivity. However, it has been shown that CAD model reusability largely depends on a proper definition and communication of the geometric design intent, which are usually expressed implicitly within the CAD model. In feature-based CAD packages, the modeling strategy and the parent-child relations established among the features of the model are conveyed implicitly via the design tree or history tree. Implicit definition of design intent typically requires a thorough examination of the model structure and a detailed understanding of the modeling strategy prior to performing any alteration to the geometry, which often translates to considerable amounts of manipulation time and effort, even when the required alterations are minor. This is especially true for models being reworked by designers that are not the original creators of the models [1]. The inability to understand and modify existing CAD models negatively affects reusability and hinders the collaborative design process.Recently, some authors have suggested the use of model annotations as a mechanism to incorporate design information into the model's geometry and make part of the design knowledge explicitly available. In this paper, we present the results of two experiments that evaluate the effectiveness of 3D annotation techniques as a tool to express and communicate design intent information. Our goal is to determine whether annotated models have a significant impact over non-annotated models in activities that involve model alteration and reusability.We begin by reviewing previous work in three relevant areas: CAD reusability (and how it relates to model alteration), design intent communication, and annotations in engineering design. Next, we describe the experimental procedure and how annotations were used in the study. Finally, we present the statistical analysis and discuss our findings.

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“…IT is increasingly applied to organizational tasks, processes, and functions as widely varying as transaction, data, document, and order processing (Dinan, Painter, & Rodite, 1990;Lasher, Ives, Jarvenpaa, 1991;Strader, Lin, & Shaw, 1999), decision support (Hagglund, 1989), workforce scheduling (Kumar & Arora, 1999), financial planning & reporting (Jablonsky & Barsky, 2000;Green, 2000), human resource management (Strauss, Weisband, and Wilson, 1998;Scott & Timmeran, 1999), new product development (Corso & Paolucci, 2001;Baba & Nobeoka, 1998), marketing (Good & Stone, 1995) and customer relationship management (Cooper, Watson, Wixom, & Goodhue, 2000), manufacturing (Fulkerson, 2000;Freund, 1997), organizational design (Nault, 1998) and the facilitation of geographical dispersed work-teams (Mowshowitz, 1994), and enterprise resource planning (Robey, Ross, & Boudreau, 2002). And while the while the specifics of how the application of IT to these processes may help organizations achieve the aforementioned goals varies widely, the common denominator is requirement that data or information be analyzed, retrieved, stored, displayed, accessed, exchanged, or otherwise processed.…”

Section: It and Earnings Volatility: The "Solution" Viewmentioning

confidence: 99%

Information Technology and the Volatility of Firm Performance

Hunter¹,

Kobelsky²,

Richardson³

2003

SSRN Journal

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This study investigates the impact of IT investments and several contextual variables on the volatility of future earnings. We find evidence that IT investments strongly increases the volatility of future earnings and that four contextual factors-industry concentration, sales growth, diversification, and leveragestrongly moderate IT's effect on earnings volatility. It is notable that while the main effect of IT spending on earnings volatility is strongly positive, not all of the moderators are. This suggests that there are conditions under which the positive risk-return relation can be either offset or even reversed. Taken together, these results suggest an explanation for what has recently been termed the "new productivity paradox", i.e. the apparent under-investment in information technology despite evidence of highly positive returns for doing so.

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Towards knowledge-based product development: the 3-D CAD model of knowledge creation

Cited by 65 publications

References 23 publications

Understanding the Impact of Collaboration Software on Product Design and Development

Understanding the Impact of Collaboration Software on Product Design and Development

Explicit Communication of Geometric Design Intent in CAD: Evaluating Annotated Models in the Context of Reusability

Information Technology and the Volatility of Firm Performance

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