Computational Intelligence for Estimating Cost of New Product Development

Abstract This paper is concerned with estimating cost of various new product development phases with the use of computational intelligence techniques such as neural networks and fuzzy neural system. Companies tend to develop many new products simultaneously and a limited project budget imposes the selection of the most promising new product development projects. The evaluation of new product projects requires cost estimation. The model of cost estimation contains product design, prototype manufacturing and testing, and it is specified in terms of a constraint satisfaction problem. The illustrative example presents comparative analysis of estimating product development cost using computational intelligence techniques and multiple regression model.

[1]  Edward Tsang,et al.  Constraint Based Scheduling: Applying Constraint Programming to Scheduling Problems , 2003, J. Sched..

[2]  Marcin Relich.  A Knowledge-Based System for New Product Portfolio Selection , 2016 .

[3]  M. Relich,et al.  Assessment of task duration in investment projects , 2010 .

[4]  Kit Yan Chan,et al.  A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach , 2009, Expert Syst. Appl..

[5]  R. Cooper,et al.  Developing profitable new products with target costing , 1999 .

[6]  Gabriela Kormancová.  Project Success and Failure , 2012 .

[7]  Marcin Relich,et al.  Reference Model of Project Prototyping Problem , 2011 .

[8]  Padhraic Smyth,et al.  From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..

[9]  Marek B. Zaremba,et al.  Constraint programming for project-driven manufacturing , 2009 .

[10]  Larry R. Medsker,et al.  Hybrid Intelligent Systems , 1995, Springer US.

[11]  Pawel Pawlewski,et al.  A Multi-agent System for Selecting Portfolio of New Product Development Projects , 2015, PAAMS.

[12]  H. Ernst.  Success Factors of New Product Development: A Review of the Empirical Literature , 2002 .

[13]  Jian S. Dai,et al.  Product Cost Estimation: Technique Classification and Methodology Review , 2006 .

[15]  Li Qian,et al.  Activity-based cost management for design and development stage , 2003 .

[16]  Petra Perner,et al.  Data Mining - Concepts and Techniques , 2002, Künstliche Intell..

[17]  Philippe Baptiste,et al.  Constraint - based scheduling : applying constraint programming to scheduling problems , 2001 .

[18]  Andrew Kusiak,et al.  Computational Intelligence in Design and Manufacturing , 2000 .

[19]  Radek Doskočil.  An Evaluation of Total Project Risk Based on Fuzzy Logic , 2015 .

[20]  Bimal Nepal,et al.  Integrated fuzzy logic-based model for product modularization during concept development phase , 2005 .

[21]  Antoni Świć,et al.  Mathematical Models for Manufacturing Systems Capacity Planning and Expansion – An Overview , 2015 .

[22]  S. Lolas,et al.  Prediction of vehicle reliability performance using artificial neural networks , 2008, Expert Syst. Appl..

[23]  Gülçin Büyüközkan,et al.  A two phase multi-attribute decision-making approach for new product introduction , 2007, Inf. Sci..

[24]  Nadia Bhuiyan,et al.  A framework for successful new product development , 2011 .

[25]  Marcin Relich.  Project Parameter Estimation on the Basis of an Erp Database , 2013 .

[26]  Arkadiusz Gola,et al.  A Knowledge-Based Approach to Product Concept Screening , 2015, DCAI.

[27]  Chun-Hsien Chen,et al.  A crowdsourcing development approach based on a neuro-fuzzy network for creating innovative product concepts , 2014, Neurocomputing.

[28]  Marcin Relich,et al.  Identifying Relationships Between Eco-innovation and Product Success , 2015 .

[29]  S. Spalek.  Improving Industrial Engineering Performance Through a Successful Project Management Office , 2013 .

[30]  Enrico Vezzetti,et al.  Model-based definition design in the product lifecycle management scenario , 2011 .

[31]  R. Doskocil.  Fuzzy Logic: An Instrument?for the Evaluation of Project Status || La lógica difusa: un instrumento para la evaluación del estado del proyecto , 2015 .

[32]  Witold Pedrycz,et al.  Data Mining: A Knowledge Discovery Approach , 2007 .

[33]  David M. Anderson.  Design for Manufacturability: Optimizing Cost, Quality, and Time-To-Market , 1990 .

[34]  C. K. Kwong,et al.  Market demand estimation for new product development by using fuzzy modeling and discrete choice analysis , 2014, Neurocomputing.

[35]  Marcin Relich.  Fuzzy project scheduling using constraint programming , 2013 .

[36]  Dong Sik Jang,et al.  Approximate Estimation of the Product Life Cycle Cost Using Artificial Neural Networks in Conceptual Design , 2002 .

[37]  D. Spry.  One Scouting World , 1948 .

[38]  Christen Rose-Anderssen,et al.  New Product Development as a Complex Adaptive System of Decisions , 2006 .

[39]  Simon Liao,et al.  Color image reconstruction from Charlier moments , 2015 .

[40]  Peter Van Roy,et al.  Concepts, Techniques, and Models of Computer Programming , 2004 .

[41]  H.J.J. Kals,et al.  A generic framework for cost estimation and cost control in product design , 1998 .

[42]  Marcin Relich,et al.  Estimating New Product Success with the Use of Intelligent Systems , 2014 .

[43]  Marcin RELICH.  CP-based decision support for scheduling , 2011 .

[44]  Ratna Babu Chinnam,et al.  A fuzzy logic based approach to reliability improvement estimation during product development , 2003, Reliab. Eng. Syst. Saf..

[45]  R. Cooper,et al.  Maximizing Productivity in Product Innovation , 2008 .

[46]  Sergio Cavalieri,et al.  Parametric vs. neural network models for the estimation of production costs: A case study in the automotive industry , 2004 .

[47]  René V. Mayorga,et al.  Supply chain management: a modular Fuzzy Inference System approach in supplier selection for new product development , 2008, J. Intell. Manuf..

[48]  Gregory K. Mislick,et al.  Cost Estimation: Methods and Tools , 2015 .

[49]  P. Trott.  Innovation Management And New Product Development , 2004 .

[50]  Yvon Gardan,et al.  P4LM: A methodology for product lifecycle management , 2008, Comput. Ind..

[51]  Toby Walsh,et al.  Handbook of Constraint Programming , 2006, Handbook of Constraint Programming.

[52]  Hongyi Sun,et al.  Critical success factors for new product development in Hong Kong toy industry , 2001, PICMET '01. Portland International Conference on Management of Engineering and Technology. Proceedings Vol.1: Book of Summaries (IEEE Cat. No.01CH37199).

[53]  A. Sharma,et al.  Collaborative product innovation: integrating elements of CPI via PLM framework , 2005, Comput. Aided Des..

[54]  Andrew W. H. Ip,et al.  A dynamic decision support system to predict the value of customer for new product development , 2011, Decis. Support Syst..

[55]  Izabela Nielsen,et al.  Iterative multimodal processes scheduling , 2014, Annu. Rev. Control..

[56]  Marcin Relich,et al.  Knowledge Discovery in Enterprise Databases for Forecasting New Product Success , 2015, IDEAL.

[57]  Karl T. Ulrich,et al.  Product Design and Development , 1995 .