A Literature Survey and Future Directions for Product Development: A Focus on Conceptual Design Stage
Journal of Cost Analysis and Parametrics
Product development process follows a sequence of activities, methods, and tools to design and develop a high quality product. An optimized strategy for a single generation product development may not be the best choice when multi-generation scenarios are considered. In this article an attempt has been made to study the nature of multi-generational product development and com-pare it with that of single generation product development to drive validating arguments. Further, a qualitative analysis framework for multi-generational product development is developed to identify correct user requirements and to propose a reusability concept during the concept design stage. In order to capture the right customer requirements clearly in the product definition phase, axiomatic design with design failure mode and effects analysis approach is reviewed. For architecture development, the design for modularity and design for reusability have been discussed. This qualitative analysis framework is based on the related case studies summarized from the industrial projects during the past 2 years. The qualitative data is obtained through face-to-face interviews, site visits, observations, and documentation at several companies, which produce both types of product. With detailed design information up front, a better concept could be selected to meet the overall objective of an organization. Additionally, targeting product development from multi-generational product development aspects optimizes the overall resource planning, investment, and thus maximizing the profit.
Satish Kumar Tyagi received Ph.D. degree in Industrial and Systems Engineering from Wayne State University, Detroit, USA in 2015. His papers appeared in journals such as IEEE-SMC Part-C, Engineering Applications of Artificial Intelligence, International Journal of Production Research, Virtual and Physical Prototyping, etc. His areas of interest for research include integrated product development (IPD), lean six-sigma implementation, artificial intelligence based optimization, and statistical analysis.
Xianming Cai received Ph.D. degree in Industrial and Systems Engineering from Wayne State University, Detroit, USA in 2010. He is currently working with Siemens Energy Inc. as a Project Engineer. His research paper has appeared in Int. J. of Six Sigma and Competitive Advantage. His areas of interest for research include integrated product development (IPD), lean six-sigma implementation, process engineering, systems engineering and statistical analysis.
Kai Yang received the M.S. and Ph.D. degrees in Industrial and Operations Engineering from University of Michigan, Ann Arbor, USA in 1985 and 1990, respectively. He is currently a professor in Department of Industrial and Systems Engineering, Wayne State University, Detroit, MI. His areas of interest for research include quality engineering, reliability engineering, lean product development/lean knowledge management, surgery operation modeling and optimization, reusable medical supply management. He is also an author of more than six scholarly published books on six-sigma, and quality management. His papers appeared in journals such as IEE Transaction on Reliability, IIE Transactions, Engineering Applications of Artificial Intelligence, IJPR, Quality Engineering,etc. He is also currently acting as the director of Center of Healthcare System Engineering Research at Wayne State University.