Managing Development Processes

  • Arie Karniel
  • Yoram Reich


Reaching the goal of automating the planning and execution of a DnPDPDynamic new Product Design Process (DnPDP), as well as simulating the process under diverse conditions and decision options is quite complex. It requires the integration of several approaches. The following chapter describes the methods and approaches used, enhanced, and integrated within the suggested DnPDP frameworkDnPDP framework.


Process Scheme NPDNew Product Development Business Process Management Product Development Process NPDNew Product Development Project 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Adams M, ter Hofstede A, Russell N, Aalst WVD (2010) Dynamic and context-aware process adaptation. In: Wang M, Sun Z (eds) Handbook of research on complex dynamic process management Techniques for adaptability in turbulent environments. IGI Global, Hershey, pp 104–136Google Scholar
  2. Bahill AT, Henderson SJ (2005) Requirements development, verification, and validation exhibited in famous failures. Sys Eng 8(1):1–14CrossRefGoogle Scholar
  3. Beck K (2000) Extreme programming explained. Addison-Wesley, BostonGoogle Scholar
  4. Bobrow EE, Shafer DW (1987) Pioneering new products: a market survival guide. Dow Jones-Irwin, New YorkGoogle Scholar
  5. Boehm B (1986) A spiral model of software development and enhancement. ACM SIGSOFT Software Eng Notes 11(4):14–24CrossRefGoogle Scholar
  6. Brown SL, Eisenhardt KM (1995) Product development: past research, present findings, and future directions. Acad Manag Rev 20:343–378Google Scholar
  7. Browning TR, Eppinger SD (2002) Modeling impacts of process architecture on cost and schedule risk in product development. IEEE Trans Eng Manag 49(4):428–442CrossRefGoogle Scholar
  8. Browning TR, Fricke E, Negele H (2006) Key concepts in modeling product development processes. Sys Eng 9(2):104–128CrossRefGoogle Scholar
  9. Calantone RJ, Schmidt JB, Song XM (1996) Controllable factors of new product success: a cross-national comparison. Marketing Sci 15(4):341–358CrossRefGoogle Scholar
  10. Carrascosa M, Eppinger SD, Whitney DE (1998) Using the design structure matrix to estimate product development time. Proceedings of DETC’98 ASME design engineering technical conference (Design Automation Conference), Atlanta, GAGoogle Scholar
  11. Clarkson PJ, Melo AF, Eckert CM (2000) Visualization of routes in design process planning. In: Proceeding of the 4th international conference on information visualisation (IV2000), IEEE Comput Society, London, pp 155–164Google Scholar
  12. Cooper RG (2001) Winning at new products, 3rd edn. Perseus Publishing, CambridgeGoogle Scholar
  13. Cooper RG, Kleinschmidt EJ (1995) Benchmarking the firm’s critical success factors in new product development. J Prod Innovation Manag 12:374–391CrossRefGoogle Scholar
  14. Di Benedetto CA (1999) Identifying the key success factors in new product launch. J Product Innovation Manag 16(6):530–544CrossRefGoogle Scholar
  15. Dustdar S, Hoffmann T, van der Aalst WMP (2005) Mining of ad-hoc business processes with TeamLog. Data Knowledge Eng 55:129–158CrossRefGoogle Scholar
  16. Eckert CM, Keller R, Earl C, Clarkson PJ (2006) Supporting change processes in design: Complexity, prediction and reliability. Reliability Eng Safety Sys 91(12):1521–1534CrossRefGoogle Scholar
  17. Eppinger SD, Whitney DE, Smith R, Gebala D (1994) A Model-based method for organizing tasks in product development. Res Eng Design 6(1):1–13CrossRefGoogle Scholar
  18. McMath RM, Forbes T (1998) What Were They Thinking? Times Business-Random House, New YorkGoogle Scholar
  19. Fricke E, Gebhard B, Negele H, Igenbergs E (2000) Coping with changes: causes, findings, and strategies. Sys Eng 3(4):169–179CrossRefGoogle Scholar
  20. Goldenberg J, Lehmann DR, Mazursky D (2001) The idea itself and the circumstances of its emergence as predictors of product success. Manag Sci 47:69–84CrossRefGoogle Scholar
  21. Griffin A (1997) The effect of project and process characteristics on product development cycle time. J Marketing Res 34(1):24–35MathSciNetCrossRefGoogle Scholar
  22. Griffin A, Page AL (1996) PDMA success measurement project: recommended measures for product development success and failure. J Product Innovation Manag 13:478–496CrossRefGoogle Scholar
  23. Hauser JR (2001) Metrics thermostat. J Product Innovation Manag 18:134–153CrossRefGoogle Scholar
  24. Heller M, Westfechtel B (2003) Dynamic project and workflow management for design processes in chemical engineering. Proceedings of the 8th international conference on process system engineering (PSE 2003), Kumming, ChinaGoogle Scholar
  25. Jansen-Vullers M, Netjes M (2006) Business process simulation: a tool survey. In Workshop and tutorial on practical use of coloured petri nets and the CPN tools, Aarhus. Accessed July 2010
  26. Jensen K, Kristensen LM, Wells L (2007) Coloured petri nets and CPN tools for modelling and validation of concurrent systems. Int J Software Tools Technol Transfer 9:213–254CrossRefGoogle Scholar
  27. Karniel A, Reich Y (2007a) Managing dynamic new product development processes. Proceedings of the 17th annual international symposium of the international council on system engineering INCOSE’07, San Diego, CA, June 2007Google Scholar
  28. Karniel A, Reich Y (2007b) A coherent interpretation of DSM plan for PDP simulation. In Proceeding of the international conference on engineering design, ICED 07, Paris, August 2007Google Scholar
  29. Karniel A, Reich Y (2007c) From planning to executing NPD processes. In: The 4th annual israeli national conference on system engineering INCOSE_IL’07, HerzliyaGoogle Scholar
  30. Karniel A, Reich Y (2009) From DSM based planning to design process simulation: a review of process scheme logic verification issues. IEEE Trans Eng Manag 56(4):636–649CrossRefGoogle Scholar
  31. Klein M, Dellarocas CA (2000) Knowledge-based approach to handling exceptions in workflow systems. J Comput Supported Collaborative Work 9(3/4):399–412CrossRefGoogle Scholar
  32. Kusiak A (2002) Integrated product and process design. J Eng Design 13(3):223–231CrossRefGoogle Scholar
  33. Lee H, Suh HW (2006) Workflow structuring and reengineering method for design process. Comput Ind Eng 51:698–714CrossRefGoogle Scholar
  34. Lévárdy V, Browning TR (2005) Adaptive test process—Designing a project plan that adapts to the state of a project. 15th Annual international symposium of the international council on system engineering (INCOSE), July 2005Google Scholar
  35. Loch CH, Terwiesch C (1999) Accelerating the process of engineering change orders: capacity and congestion effects. J Product Innovation Manag 16(2):145–159CrossRefGoogle Scholar
  36. Madhusudan T (2005) An agent-based approach for coordinating product design workflows. Comput Ind 56:235–259CrossRefGoogle Scholar
  37. McConnell S (1996) Rapid development: taming wild software schedules. Microsoft Press, RedmondGoogle Scholar
  38. Meier C, Yassine A, Browning T (2007) Design process sequencing with competent genetic algorithms. J Mech Design 129(6):566–585CrossRefGoogle Scholar
  39. Montoya-Weiss M, Calantone R (1994) Determinants of new product performance: a review and meta-analysis. J Product Innovation Manag 11:397–417CrossRefGoogle Scholar
  40. Narendra NC (2004) Flexible support and management of adaptive workflow processes. Inf Sys Frontiers 6(3):247–262MathSciNetCrossRefGoogle Scholar
  41. O’Donovan BD, Clarkson PJ, Eckert CM (2003) Signposting: modeling uncertainty in design processes. International conference on engineering design (ICED 03), Stockholm, 19–21 AugustGoogle Scholar
  42. Otto KN, Wood KL (2001) Product Design. Prentice-Hall, New JerseyGoogle Scholar
  43. Reich Y (2008) Preventing Breakthroughs from Breakdowns. Proceedings of the 9th biennial ASME conference on engineering system design and analysis, ESDA2008, Haifa, IsraelGoogle Scholar
  44. Reich Y, Paz A (2008) Managing product quality, risk, and resources through quality function deployment. J Eng Design 19(3):249–267CrossRefGoogle Scholar
  45. Reich Y, Subrahmanian E, Cunningham D, Dutoit A, Konda S, Patrick R, Westerberg A, the n-dim group (1999) Building agility for developing agile design information systems. Res Eng Design 11(2):67–83CrossRefGoogle Scholar
  46. Reichert M, Rinderle S, Kreher U, Dadam P (2005) Adaptive process management with ADEPT2. 21st international conference on data engineering (ICDE’05), pp 1113–1114Google Scholar
  47. Reichert M, Bauer T, Dadam P (2010) Flexibility for distributed workflows. In: Wang M, Sun Z (eds) Handbook of research on complex dynamic process management: techniques for adaptability in turbulent environments. IGI Global, Hershey, pp 137–171Google Scholar
  48. Rinderle S, Reichert M, Dadam P (2004a) Correctness criteria for dynamic changes in workflow systems—a survey. Data Knowl Eng 50(1):9–34CrossRefGoogle Scholar
  49. Rinderle S, Reichert M, Dadam P (2004b) Flexible support of team processes by adaptive workflow systems. Distributed Parallel Databases 16(1):91–116CrossRefGoogle Scholar
  50. Russell N, van der Aalst WMP, ter Hofstede AH (2006) Exception handling patterns in process-aware information systems. In the 18th conference on advanced information system engineering CAiSE’06Google Scholar
  51. Sadiq S, Sadiq W, Orlowska ME (2001) Pockets of flexibility in workflow specification. Lect Notes in Comput Sci 2224:513–526CrossRefGoogle Scholar
  52. Savitha S, Vikas K, Holmes S (2005) Web-log-driven business activity monitoring. Computer 38(3):61–68CrossRefGoogle Scholar
  53. SEI (2002) Capability maturity model® integration (CMMISM), Version 1.1. Carnegie Mellon University Software Eng Institute, PittsburghGoogle Scholar
  54. Shane SA, Ulrich KT (2004) Technological Innovation, product development, and entrepreneurship in management science. Manag Sci 50(2):133–144CrossRefGoogle Scholar
  55. Shenhar AJ (1998) From theory to practice: toward a typology of project-management styles. IEEE Trans Eng Manag 45(1):33–48CrossRefGoogle Scholar
  56. Simon HA (1981) The sciences of the artificial. MIT Press, CambridgeGoogle Scholar
  57. Smith RP, Morrow JA (1999) Product development process modeling. Des Stud 20(3):237–261Google Scholar
  58. Subrahmanian E, Reich Y, Konda SL, Dutoit A, Cunningham D, Patrick R, Thomas M, Westerberg AW (1997) The n-dim approach to building design support systems. In: Proceedings of ASME design theory and methodology DTM ‘97, New York, ASMEGoogle Scholar
  59. Swink M (2002) Product development: faster, on-time. Res Technology Manag 45(4):50–58Google Scholar
  60. ISO/IEC, Systems engineering: system life cycle processes, ISO/IEC 15288, International organization for standardization, 1 Nov 2002Google Scholar
  61. Thomas LD (2007) Selected systems engineering process deficiencies and their consequences. Acta Astronautica 61(1–6):406–415CrossRefGoogle Scholar
  62. Ullman DG (2003) The mechanical design process, 3rd edn. McGraw-Hill, New YorkGoogle Scholar
  63. Ulrich K, Eppinger SD (2000) Product design and development, 2nd edn. McGraw-Hill, New YorkGoogle Scholar
  64. Unger DW (2003) Product Development process design: improving development response to market, technical, and regulatory risks. Dissertation. Massachusetts Institute of Technology, JuneGoogle Scholar
  65. van der Aalst WMP, ter Hofstede AHM (2005) YAWL: Yet another workflow language. Inf Sys 30(4):245–275CrossRefGoogle Scholar
  66. van der Aalst WMP, ter Hofstede AHM, Kiepuszewski B, Barros AP (2003a) Workflow patterns. Distributed Parallel Databases 14(1):5–51CrossRefGoogle Scholar
  67. van der Aalst WMP, ter Hofstede AHM, Weske M (2003b) Business process management: a survey. International conference on business process management, BPM 2003, Eindhoven, Netherlands. Lecture notes in computer science, vol 2678. Springer, Netherlands, pp 1–12Google Scholar
  68. Verbeek HMW, van Der Aalst WMP (2004) XRL/Woflan: Verification and extensibility of an XML/Petri-net-based language for inter-organizational workflows. Inf Technol Manag 5:65–110CrossRefGoogle Scholar
  69. Verhaeghe A, Kfir R (2002) Managing innovation in a knowledge intensive technology organization (KITO). R&D Management 32(5):409–417CrossRefGoogle Scholar
  70. Weske M, van der Aalst WMP, Verbeek HMW (2004) Advances in business process management. Data Knowledge Eng 50(1):1–8CrossRefGoogle Scholar
  71. Westfechtel B (1999) Models and tools for managing development processes. Lecture notes in computer science, vol 1646. Springer, BerlinGoogle Scholar
  72. Whitfield RI, Duffy AHB, Gartzia-Etxabe LK (2005) Identifying and evaluating parallel design activities using the design structure matrix. International conference on engineering design, ICED05, Melbourne, AugustGoogle Scholar
  73. Worren N, Moore K, Cardona P (2002) Modularity, strategic flexibility, and firm Performance: a study of the home appliance Industry. Strategic Manag J 23:1123–1140CrossRefGoogle Scholar
  74. Wynn DC (2007) Model-based approaches to support process improvement in complex product development. Dissertation, University of CambridgeGoogle Scholar
  75. Yassine A, Braha D (2003) Ccomplex concurrent engineering and the design structure matrix method. Concurr Eng Res Appl 11(3):165–176CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Limited  2011

Authors and Affiliations

  1. 1.School of Mechanical EngineeringTel Aviv UniversityTel AvivIsrael

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