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New Product Development (NPD) Process – An Example of Industrial Sector

REFERENCES [1] G. Barczak and D.L. Wilemon, “Leadership Differences in New Product Development Teams”, Journal of Product Innovation Management , vol. 6, no. 4, pp. 259-267, 1989. [2] A. Bryman, Social Research Methods . Oxford: Oxford University Press, 2008. [3] K.H. Chang, E-Design, Computer-Aided Engineering Design . Oxford: Academic Press, 2015. [4] B. Cimatti and G. Campana, “Modern industrial product development and organizational impact”, International Journal of Organizational Innovation , vol. 8, no. 3, pp. 7-17, Jan. 2016

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Product Portfolio Management Best Practices For New Product Development: A Review Of Models

Development Activities: an empirical Investigation. Journal of Product Innovation Management, 12(3), pp.214-223. [5] Castellion, G., 2005. A New Product’s Development Strategy: Formulation and Implementation. The PDMA Handbook of new Product Development. Hoboken, NJ: Wiley. [6] Cooper, R.G., 1985. Overall Corporate Strategies for New Product Programs. Industrial Marketing Management, 14(3), pp.179-193. [7] Cooper, R.G., 1990. Stage-gate Systems: A New Tool for Managing New Products. Business Horizons, 33(3), pp.44-54. DOI

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Preference Markets in New Product Development

Abstract

Preference markets address the need for scalable, fast and engaging market research in new product development. The Web 2.0 paradigm, in which users contribute numerous ideas that may lead to new products, requires new methods of screening those ideas for their marketability and preference markets offer just such a mechanism. For faster new product development decisions, a flexible prioritization methodology for product features and concepts is tested. It scales up in the number of testable alternatives, limited only by the number of participants. New product preferences for concepts, attributes and attribute levels are measured by trading stocks whose prices are based upon share of choice of new products and features. Benefits of preference markets include speed, scalability, flexibility, and respondent enthusiasm for the method.

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Product Portfolio Management: An Important Business Strategy

6 Reference [1] AberdeenGroup (2006) - The product portfolio management benchmark report (online). URL: http//emeraldinsight.com (accessed 29 February 2012). [2] Augusto P., Miguel C. (2008) - Portfolio management and new product development implementation: A case study in a manufacturing firm. International journal of quality and reliability management (online), 25(1):10-23. URL: http//emeraldinsight.com/newproductdevelopment (accessed 28 February 2012). [3] Brown J. (2010) - Are there best practices for product portfolio management

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Computational Intelligence for Estimating Cost of New Product Development

7 References [1] Cooper R., Edgett S., 2008. Maximizing productivity in product innovation. Research Technology Management , 51(2), pp.47-58. [2] Chan S.L., Ip W.H., 2011. A dynamic decision support system to predict the value of customer for new product development. Decision Support Systems , Vol. 52, pp.178-188. [3] Spalek S., 2013. Improving industrial engineering performance through a successful project management office. Engineering Economics , 24(2), pp.88-98. [4] Relich M., Bzdyra K., 2014. Estimating new product success with the

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Estimating New Product Success with the Use of Intelligent Systems

References [1] Benedetto C.A. - Identifying the key success factors in new product launch [in] Journal of Product Innovation Management, Vol. 16, 1999, pp. 530-544. [2] Cooper R., Edgett S. - Maximizing productivity in product innovation [in] Research Technology Management, Vol. 51, No. 2, 2008, pp. 47-58. [3] Ulrich K.T., Eppinger S.D. - Product design and development. McGraw-Hill 2011. [4] Cooper L.P. - A research agenda to reduce risk in new product development through knowledge management: a

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Innovation processes: do they help or hinder new product development outcomes in Irish SMEs?

Bessant, 2009 ), with new product development (NPD) ‘among the essential processes for success, survival and renewal of organisations’ ( Brown and Eisenhardt, 1995 : 344). The NPD process is arguably the most important dynamic capability within a firm ( Nelson and Winter, 1982 ); and NPD programmes can be the most profitable growth strategy when compared to mergers, alliances, acquisitions, or joint ventures ( Jones et al., 2012 The rationale for studying innovation in SMEs is clear. First, SMEs are important players in the national innovation ecosystem, even if only

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An integrative Model Based Systems Engineering (MBSE) and lean-based approach for development of new complex products

Abstract

An effective and efficient New Product Development (NPD) and implementation process is crucial for creation of competitive advantage for each company. Due to this fact, companies are more and more often looking for methods and tools for improvement of NPD processes. The paper deals with an integrated Model Based Systems Engineering (MBSE) and lean approach to NPD. The individual stages of the NPD process are predisposed to different degrees to the use of MBSE and Lean. The research conducted shows that the use of advanced MBSE and lean tools and techniques in the development of new products is not widespread. There is a room for future research.

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Project Parameter Estimation on the Basis of an Erp Database

Abstract

Nowadays, more and more enterprises are using Enterprise Resource Planning (EPR) systems that can also be used to plan and control the development of new products. In order to obtain a project schedule, certain parameters (e.g. duration) have to be specified in an ERP system. These parameters can be defined by the employees according to their knowledge, or can be estimated on the basis of data from previously completed projects. This paper investigates using an ERP database to identify those variables that have a significant influence on the duration of a project phase. In the paper, a model of knowledge discovery from an ERP database is proposed. The presented method contains four stages of the knowledge discovery process such as data selection, data transformation, data mining and interpretation of patterns in the context of new product development. Among data mining techniques, a fuzzy neural system is chosen to seek relationships on the basis of data from completed projects stored in an ERP system.

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The Decision-Making Process in the New Products Development of the Fishery Cooperative in the Community of Las Arenitas Eldorado, Sinaloa

, 47 (1), 1–21. Langerak, F., Hultink, E. J., & Robben, S. J. (2007) . The mediating role of new product development in the link between market orientation and organizational performance. Journal of Strategic Marketing , 15 (4), 281–305. Munuera, J. L., & Rodríguez, A. I. (2012) . Marketing Strategies: an approach based on the management process . Spain: ESIC. Roberto, M. A. (2004) . Strategic decision-making processes: Beyond the efficiency-consensus trade-off. Group & Organization Management , 29 (6), 625–658. Thieme, J. R., Song, M. X

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