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Computational Intelligence for Estimating Cost of New Product Development

Foundations of Management
Volume 8 (2016): Issue 1 (January 2016)
By:
Open Access
|Mar 2016

References

  1. [1] Cooper R., Edgett S., 2008. Maximizing productivity in product innovation. Research Technology Management, 51(2), pp.47-58.10.1080/08956308.2008.11657495
    Search in Google ScholarBack to article
  2. [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.178-188.10.1016/j.dss.2011.07.002
    Open DOISearch in Google ScholarBack to article
  3. [3] Spalek S., 2013. Improving industrial engineering performance through a successful project management office. Engineering Economics, 24(2), pp.88-98.10.5755/j01.ee.24.2.3087
    Open DOISearch in Google ScholarBack to article
  4. [4] Relich M., Bzdyra K., 2014. Estimating new product success with the use of intelligent systems. Foundations of Management, 6(2), pp.7-20.10.1515/fman-2015-0007
    Search in Google ScholarBack to article
  5. [5] Trott P., 2005. Innovation Management and New Product Development. Essex: Prentice Hall.
    Search in Google ScholarBack to article
  6. [6] Relich M., Bzdyra K., 2015. Knowledge discovery in enterprise databases for forecasting new product success. Intelligent Data Engineering and Automated Learning (ed. K. Jackowski et al.). Lecture Notes in Computer Science, Vol. 9375, Springer, pp.121-129.
    Search in Google ScholarBack to article
  7. [7] Dieter G.E., 2000. Engineering Design: A Material and Processing Approach. Boston: McGraw-Hill.
    Search in Google ScholarBack to article
  8. [8] Nepal B., Monplaisir L., Singh N., 2005. Integrated fuzzy logic-based model for product modularization during concept development phase. International Journal of Production Economics, Vol. 96, pp.157-174.10.1016/j.ijpe.2004.03.010
    Open DOISearch in Google ScholarBack to article
  9. [9] Ulrich K.T., Eppinger S.D., 2011. Product Design and Development. Boston: McGraw-Hill.
    Search in Google ScholarBack to article
  10. [10] Relich M., 2015. Identifying relationships between eco-innovation and product success. Technology Management for Sustainable Production and Logistics (ed. P. Golinska, A. Kawa). Berlin Heidelberg: Springer, pp.173-192.10.1007/978-3-642-33935-6_9
    Search in Google ScholarBack to article
  11. [11] Anderson D.M., 2001. Design for Manufacturability: Optimizing Cost, Quality and Time-to-Market. Cambria: CIM Press.
    Search in Google ScholarBack to article
  12. [12] Sharma A., 2005. Collaborative product innovation: integrating elements of CPI via PLM framework. Computer-Aided Design, Vol. 37, pp.1425-1434.10.1016/j.cad.2005.02.012
    Open DOISearch in Google ScholarBack to article
  13. [13] Danesi F., Gardan N., Gardan Y. Reimeringer M., 2008. P4LM: A methodology for product lifecycle management. Computers in Industry, Vol. 59, pp.304-317.10.1016/j.compind.2007.06.013
    Open DOISearch in Google ScholarBack to article
  14. [14] Alemanni M., Destefanis F., Vezzetti E., 2011. Model-based definition design in the product lifecycle management scenario. International Journal of Advanced Manufacturing Technology, Vol. 52, pp.1-14.10.1007/s00170-010-2699-y
    Open DOISearch in Google ScholarBack to article
  15. [15] Gola A., Relich M., Kłosowski G., Świć A., 2015. Mathematical models for manufacturing systems capacity planning and expansion – an overview. Applied Mechanics and Materials, Vol. 791, pp.125-131.10.4028/www.scientific.net/AMM.791.125
    Search in Google ScholarBack to article
  16. [16] Ernst H., 2002. Success factors of new product development: a review of the empirical literature. International Journal of Management Reviews, Vol. 4, pp.1-40.10.1111/1468-2370.00075
    Open DOISearch in Google ScholarBack to article
  17. [17] Kormancova G., 2012. Project success and failure. Theory of Management 6: The Selected Problems for the Development Support of Management Knowledge Base, Zilina, pp.117-119.
    Search in Google ScholarBack to article
  18. [18] Bhuiyan N., 2011. A framework for successful new product development. Journal of Industrial Engineering and Management, Vol. 4, pp.746-770.10.3926/jiem.334
    Open DOISearch in Google ScholarBack to article
  19. [19] McCarthy I.P., Tsinopoulos C., Allen P., Rose-Anderssen C., 2006. New product development as a complex adaptive system of decisions. Journal of Product Innovation Management, Vol. 23, pp.437-456.10.1111/j.1540-5885.2006.00215.x
    Search in Google ScholarBack to article
  20. [20] Kahraman C., Buyukozkan G., Ates N.Y., 2007. A two phase multi-attribute decision-making approach for new product introduction. Information Sciences, Vol. 177, pp.1567-1582.10.1016/j.ins.2006.09.008
    Search in Google ScholarBack to article
  21. [21] Sun H., Wing W., 2005. Critical success factors for new product development in the Hong Kong toy industry. Technovation, Vol. 25, pp.293-303.10.1016/S0166-4972(03)00097-X
    Open DOISearch in Google ScholarBack to article
  22. [22] Relich M., 2016. A knowledge-based system for new product portfolio selection. New Frontiers in Information and Production Systems Modelling and Analysis (ed. P. Rozewski et al.). Intelligent Systems Reference Library, Vol. 98, Springer, pp.169-187.10.1007/978-3-319-23338-3_8
    Search in Google ScholarBack to article
  23. [23] Cooper R., Slagmulder R., 1999. Develop profitable new products with target costing. Sloan Management Review, Vol. 40, pp.23-33.
    Search in Google ScholarBack to article
  24. [24] Ben-Arieh D., Qian L., 2003. Activity-based cost management for design and development stage. International Journal of Production Economics, Vol. 83, pp.169-183.10.1016/S0925-5273(02)00323-7
    Search in Google ScholarBack to article
  25. [25] Niazi A., Dai J., Balabani S., Seneviratne L., 2005. Product cost estimation: technique classification and methodology review. Journal of Manufacturing Science and Engineering, Vol. 128, pp.563-575.10.1115/1.2137750
    Search in Google ScholarBack to article
  26. [26] Weustink I.F., ten Brinke E., Streppel A.H., Kals H.J., 2000. A generic framework for cost estimation and cost control in product design. Journal of Materials Processing Technology, Vol. 103, pp.141-148.10.1016/S0924-0136(00)00405-2
    Search in Google ScholarBack to article
  27. [27] Foussier P., 2006. From Product Description to Cost: A Practical Approach. London: Springer.
    Search in Google ScholarBack to article
  28. [28] Mislick G., Nussbaum D., 2015. Cost Estimation: Methods and Tools. New Jersay: Wiley & Sons.10.1002/9781118802342
    Search in Google ScholarBack to article
  29. [29] Kusiak A., 2000. Computational Intelligence in Design and Manufacturing. New York: John Wiley & Sons.
    Search in Google ScholarBack to article
  30. [30] Medsker L., 1995. Hybrid Intelligent Systems. New York: Springer Science.10.1007/978-1-4615-2353-6
    Search in Google ScholarBack to article
  31. [31] Cavalieri S., Maccarrone P., Pinto R., 2004. Parametric vs. neural network models for the estimation of production costs: a case study in the automotive industry. International Journal of Production Economics, Vol. 91, pp.165-177.10.1016/j.ijpe.2003.08.005
    Search in Google ScholarBack to article
  32. [32] Relich M., 2010. Assessment of task duration in investment projects. Management, 14(2), pp.136-147.
    Search in Google ScholarBack to article
  33. [33] Lolas S., Olatunbosun O., 2008. Prediction of vehicle reliability performance using artificial neural networks. Expert Systems with Applications, Vol. 34, pp.2360-2369.10.1016/j.eswa.2007.03.014
    Open DOISearch in Google ScholarBack to article
  34. [34] Seo K., Park J., Jang D., Wallace D., 2002. Approximate estimation of the product life cycle cost using artificial neural networks in conceptual design. International Journal of Advanced Manufacturing Technology, Vol. 19, pp.461-471.10.1007/s001700200049
    Open DOISearch in Google ScholarBack to article
  35. [35] Aydin R., Kwong C., Ji P., Law H., 2014. Market demand estimation for new product development by using fuzzy modelling and discrete choice analysis. Neurocomputing, Vol. 142, 2014, pp.136-146.10.1016/j.neucom.2014.01.051
    Search in Google ScholarBack to article
  36. [36] Yadav O., Singh N., Chinnam R., Goel P., 2003. A fuzzy logic based approach to reliability improvement estimation during product development. Reliability Engineering & System Safety, Vol. 80, pp.63-74.10.1016/S0951-8320(02)00268-5
    Search in Google ScholarBack to article
  37. [37] Carrera D., Mayorga R., 2008. Supply chain management: a modular fuzzy inference system approach in supplier selection for new product development. Journal of Intelligent Manufacturing, Vol. 19, pp.1-12.10.1007/s10845-007-0041-9
    Open DOISearch in Google ScholarBack to article
  38. [38] Doskocil R., 2016. An evaluation of total project risk based on fuzzy logic. Business: Theory and Practice, 17(1), pp.23-31.10.3846/btp.2016.534
    Search in Google ScholarBack to article
  39. [39] Doskocil R., 2015. Fuzzy logic: an instrument for the evaluation of project status. Revista de Metodos Cuantitativos para la Economia y la Empresa, Vol. 19, pp.5-23.
    Search in Google ScholarBack to article
  40. [40] Relich M., 2013. Fuzzy project scheduling using constraint programming. Applied Computer Science, 9(1), pp.3-16.
    Search in Google ScholarBack to article
  41. [41] Chang D., Chen C., Lee K., 2014. A crowd-sourcing development approach based on a neuro-fuzzy network for creating innovative product concepts. Neurocomputing, Vol. 142, pp.60-72.10.1016/j.neucom.2014.03.044
    Search in Google ScholarBack to article
  42. [42] Kwong C., Wong T., Chan K., 2009. A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach. Expert Systems with Applications, Vol. 36, pp.11262-11270.10.1016/j.eswa.2009.02.094
    Open DOISearch in Google ScholarBack to article
  43. [43] Relich M., 2015. A computational intelligence approach to predicting new product success. Proceedings of the 11th International Conference on Strategic Management and its Support by Information Systems, Uherske Hradiste, pp.142-150.
    Search in Google ScholarBack to article
  44. [44] Rossi F., van Beek P., Walsh T., 2006. Handbook of Constraint Programming. Elsevier.
    Search in Google ScholarBack to article
  45. [45] Bocewicz G., Nielsen I., Banaszak Z., 2014. Iterative multimodal processes scheduling. Annual Reviews in Control, 38(1), pp.113-132.10.1016/j.arcontrol.2014.03.011
    Open DOISearch in Google ScholarBack to article
  46. [46] Relich M., Swic A., Gola A., 2015. A knowledge-based approach to product concept screening. Distributed Computing & Artificial Intelligence (ed. S. Omatu et al.). Advances in Intelligent Systems and Computing, Vol. 373, Springer, pp.341-348.10.1007/978-3-319-19638-1_39
    Search in Google ScholarBack to article
  47. [47] Relich M., Banaszak Z., 2011. Reference model of project prototyping problem. Foundations of Management, 3(1), pp.33-46.10.2478/v10238-012-0034-7
    Search in Google ScholarBack to article
  48. [48] Han J., Kamber M., 2006. Data Mining. Concepts and Techniques. San Francisco: Morgan Kaufmann Publishers.
    Search in Google ScholarBack to article
  49. [49] Cios K.J., Pedrycz W., Swiniarski R.W., Kurgan L.A., 2007. Data Mining: A Knowledge Discovery Approach. New York: Springer.
    Search in Google ScholarBack to article
  50. [50] Relich M., Pawlewski P., 2015. A multi-agent system for selecting portfolio of new product development project. PAAMS 2015 Workshops (ed. J. Bajo et al.). Communications in Computer and Information Science, Vol. 524, Springer, pp.102-114.10.1007/978-3-319-19033-4_9
    Search in Google ScholarBack to article
  51. [51] Fayyad U., Piatetsky-Shapiro G., Smith P., 1996. From data mining to knowledge discovery in databases. American Association for Artificial Intelligence, Fall, pp.37-54.10.1007/3-540-61286-6_131
    Search in Google ScholarBack to article
  52. [52] Relich M., 2013. Project parameter estimation on the basis of an ERP database. Foundations of Management, 5(2), pp.49-58.10.2478/fman-2014-0012
    Search in Google ScholarBack to article
  53. [53] Van Roy P., Haridi S., 2004. Concepts, Techniques and Models of Computer Programming. Massachusetts Institute of Technology.
    Search in Google ScholarBack to article
  54. [54] Baptiste P., Le Pape C., Nuijten W., 2001. Constraint-Based Scheduling: Applying Constraint Programming to Scheduling Problems. Norwell, Massachusetts: Kluwer Academic Publishers.10.1007/978-1-4615-1479-4
    Search in Google ScholarBack to article
  55. [55] Relich M., 2011. CP-based decision support for scheduling. Applied Computer Science, 7(1), pp.7-17.
    Search in Google ScholarBack to article
  56. [56] Banaszak Z., Zaremba M., Muszyński W., 2009. Constraint programming for project-driven manufacturing. International Journal of Production Economics, Vol. 120, pp. 463-475.10.1016/j.ijpe.2008.12.016
    Open DOISearch in Google ScholarBack to article
  57. [57] Relich M., 2014. A constraint programming approach for scheduling in a multi-project environment. International Journal of Advanced Computer Science and Information Technology, 3(2), pp.156-171.
    Search in Google ScholarBack to article
DOI: https://doi.org/10.1515/fman-2016-0002 | Journal eISSN: 2300-5661 | Journal ISSN: 2080-7279
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Language: English
Page range: 21 - 34
Published on: Mar 26, 2016
Published by: Warsaw University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
project management,
neural networks,
fuzzy neural system,
constraint satisfaction problem,
decision support system
Related subjects:
Computer sciences,
Business computing,
Business and economics,
Business management,
Management accounting, financial controlling, cost calculation, investment

© 2016 Marcin Relich, published by Warsaw University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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