Skip to main content

Designing Engineering Systems for Sustainability

  • Chapter
Handbook of Performability Engineering

Abstract

Sustainability means keeping an existing system operational and maintaining the ability to manufacture and field versions of the system that satisfy the original requirements. Sustainability also includes manufacturing and fielding revised versions of the system that satisfy evolving requirements, which often requires the replacement of technologies used in the original system with newer technologies. Technology sustainment analysis encompasses the ramifications of reliability on system management and costs via sparing, availability and warranty. Sustainability also requires the management of technology obsolescence (forecasting, mitigation and strategic planning) and addresses roadmapping, surveillance, and value metrics associated with technology insertion planning.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 429.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 549.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 549.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Sutton P. What is sustainability? Eingana 2004; Apr, 27(1):4–9.

    Google Scholar 

  2. Costanza R. Ecological economics: the science and management of sustainability. Columbia University Press, 1991.

    Google Scholar 

  3. Brundtland Commission, Our common future. World Commission on Environment and Development, 1987.

    Google Scholar 

  4. ForestERA, http://www.forestera.nau.edu/glossary.htm

    Google Scholar 

  5. Elkington J. Cannibals with forks: The triple bottom line of 21st century business. Capstone Publishing, Oxford, 1997.

    Google Scholar 

  6. Kleindorfer PR, Singhal K, Van Wassenhove LN. Sustainable operations management. Production and Operations Management 2005; winter, 14(4):482–492.

    Google Scholar 

  7. Crum D. Legacy system sustainment engineering. Proceedings of the DoD Diminishing Manufacturing Sources and Material Shortages Conference, New Orleans, LA, March 2002. Available at: http://smaplab.ri.uah.edu/dmsms02/presentations/crum.pdf

    Google Scholar 

  8. Cost Analysis Improve Group (CAIG), Operating and support cost-estimating guide. Office of the Sec. of Defense, http://www.dtic.mil/pae/, May 1992.

    Google Scholar 

  9. Gateway Inc., www.gateway.com, December 2001.

    Google Scholar 

  10. Shields P. Total cost of ownership: Why the price of the computer means so little. http://www.thebusinessmac.com/features/tco_hardware.shtml, December 2001.

    Google Scholar 

  11. Ardis B. Viable/affordable combat avionics (vca) implementation update. Dayton Aerospace, Inc., June 2001.

    Google Scholar 

  12. Reliability and support factors. http://home.wanadoo.nl/jdonders/AVAIL.html

    Google Scholar 

  13. Myrick A. Sparing analysis — A multi-use planning tool, Proceedings of the IEEE Reliability and Maintainability Symposium, Philadelphia, PA, 1989; January 296–300.

    Google Scholar 

  14. McDougall R. Availability — What I means, why it’s important, and how to improve it. Sun Blue Prints OnLine, Oct. 1999, http://www.sun.com/blueprints/1099/availability.pdf

    Google Scholar 

  15. Performance based logistics: A program manager’s product support guide. Defense Acquisition University Press, Fort Belvoir, VA, March 2005, http://www.dau.mil/pubs/misc/PBL_Guide.pdf

    Google Scholar 

  16. Lie CH, Hwang CL, Tillman, FA. Availability of maintained systems: A state-of-the-art survey. AIIE Trans. 1977; 9(3):247–259.

    Google Scholar 

  17. LM-720 Reliability, availability, & maintainability (RAM) (hardware and software). https://acc.dau.mil/getattachment.aspx?id=22523&pname=file&aid=2212

    Google Scholar 

  18. Coughlin RJ, Optimization of spares in a maintenance scenario. Proceedings of the IEEE Reliability and Maintainability Symposium, San Francisco, CA, 1984; January, 371–376.

    Google Scholar 

  19. Adams CM. Inventory optimization techniques, system vs. item level inventory analysis. Proceedings of the IEEE Reliability and Maintainability Symposium, Los Angeles, CA, 2004; January, 55–60.

    Google Scholar 

  20. Sherbrooke CC. Optimal inventory modeling of systems: ulti-echelon techniques. Wiley, New York, 1992.

    Google Scholar 

  21. Murthy DNP, Djamaludin I. New product warranty: A literature review. Int. Journal of Production Economics 2002; 79(3):231–260.

    Article  Google Scholar 

  22. Elsayed EA, Reliability engineering. Addison Wesley, Reading, MA, 1996.

    Google Scholar 

  23. Blischke WR, Murthy DNP, Warranty cost analysis. Marcel Dekker, New York, 1994.

    Google Scholar 

  24. Hunter JJ. Mathematical techniques for warranty analysis. Product warranty handbook. Blishke WR, Murthy DNP, editors. Marcel Dekker, New York, 1996; Chapter 7:157–190.

    Google Scholar 

  25. Feldman K, Sandborn P. Integrating technology obsolescence considerations into product design planning. Proceedings of the ASME Design for Manufacturing and Life Cycle Conference, Las Vegas, NV 2007; September.

    Google Scholar 

  26. QTEC, http://www.qtec.us/Products/QStar_Introduction.htm, 2006.

    Google Scholar 

  27. Masters JM. A note on the effect of sudden obsolescence on the optimal lot size. Decision Sciences 1991; 22(5): 1180–1186.

    Google Scholar 

  28. Perry W. (1994), U.S. Secretary of Defense.

    Google Scholar 

  29. Henke AL, Lai S. Automated parts obsolescence prediction. Proceedings of the DoD DMSMS Conference, San Antonio, TX, 1997; August.

    Google Scholar 

  30. Josias C, Terpenny JP, McLean KJ. Component obsolescence risk assessment. Proceedings of the IIE Industrial Engineering Research Conference (IERC), Houston, TX, 2004; May.

    Google Scholar 

  31. Solomon R, Sandborn P, Pecht M. Electronic part life cycle concepts and obsolescence forecasting. IEEE Trans. on Components and Packaging Technologies 2007; Dec., 23:707–713.

    Google Scholar 

  32. Meixell M, Wu SD. Scenario analysis of demand in a technology market using leading indicators. IEEE Trans. on Semi. Manuf. 2001; 14:65–78.

    Article  Google Scholar 

  33. Sandborn P, Mauro F, Knox R, A data mining based approach to electronic part obsolescence forecasting. IEEE Trans. on Components and Manufacturing Technology. 2007; 30:397–401.

    Google Scholar 

  34. Tilton JR. Obsolescence management information system (OMIS). http://www.jdmag.wpafb.af.mil/elect%20obsol%20mgt.pdf, NSWC Keyport.

    Google Scholar 

  35. Howard MA. Component obsolescence — It’s not just for electronics anymore. Proceedings of the Aging Aircraft Conference, San Francisco, CA, 2002; September.

    Google Scholar 

  36. ARINC, Inc., ARINC Logistics assessment and risk management (ALARM) tool, http://www.arinc.com/news/2005/06-28-05.html

    Google Scholar 

  37. Stogdill RC. Dealing with obsolete parts. IEEE Design & Test of Computers 1999; 16:17–25.

    Article  Google Scholar 

  38. Pecht M, Tiku S. Electronic manufacturing and consumers confront a rising tide of counterfeit electronics. IEEE Spectrum 2006; May:43(5):37–46.

    Article  Google Scholar 

  39. Johnson W. Generalized emulation of microcircuits. Proceedings of the DoD DMSMS Conference, Jacksonville, FL, 2000; August.

    Google Scholar 

  40. Pecht M, Humphrey D. Uprating of electronic parts to address obsolescence. Microelectronics International 2006; 23(2):32–36.

    Article  Google Scholar 

  41. Feng D, Singh P, Sandborn P. Lifetime buy optimization to minimize lifecycle cost. Proceedings of the Aging Aircraft Conference, Palm Springs, CA 2007; April.

    Google Scholar 

  42. Sandborn P. Beyond reactive thinking — We should be developing pro-active approaches to obsolescence management tool. DMSMS COE Newsletter 2004; 2(3): 4–9.

    Google Scholar 

  43. Robbins RM. Proactive component obsolescence management. A-B Journal 2003; 10:49–54.

    Google Scholar 

  44. Herald TE. Technology refreshment strategy and plan for application in military systems — A how-to systems development process and linkage with CAIV. Proc. National Aerospace and Electronics Conference (NAECON), Dayton, OH, 2000; October: 729–736.

    Google Scholar 

  45. Sandborn P, Herald T, Houston J, Singh, P. Optimum technology insertion into systems based on the assessment of viability. IEEE Trans. on Comp. and Pack. Tech 2003; 26:734–738.

    Article  Google Scholar 

  46. Porter GZ. An economic method for evaluating electronic component obsolescence solutions. Boeing Company White Paper 1998.

    Google Scholar 

  47. Cattani KD, Souza GC. Good buy? Delaying endof-life purchases. European J. of Operational Research 2003; 146:216–228.

    Article  MATH  Google Scholar 

  48. Singh P, Sandborn P. Obsolescence driven design refresh planning for sustainment-dominated systems. The Engineering Economist 2006; April–June, 51(2):115–139.

    Article  Google Scholar 

  49. Sandborn P. Software obsolescence — complicating the part and technology obsolescence management problem. IEEE Trans. On Comp. and Pack. Tech 2007; 30:886–888.

    Article  Google Scholar 

  50. Gates B. Founder, Chairman, Microsoft Corp. The Bill Gates method. APT News July 21, 2003.

    Google Scholar 

  51. Merola L. The COTS software obsolescence threat. Proceedings of the International Conference on Commercial-off-the-shelf (COTS) Based Software Systems, Orlando, FL, 2006; February.

    Google Scholar 

  52. Rickman T, Singh G. Strategies for handling obsolescence, end-of-life and long-term support of COTS software. COTS Journal, Jan. 2002; 17–21.

    Google Scholar 

  53. Porter AL, Jin X-Y, et al., Technology opportunities analysis: Integrating technology monitoring, forecasting, and assessment with strategic planning. SRA J. 1994; Oct., 26(2):21–31.

    Google Scholar 

  54. Coates V, Faroque M, Klavins R, Lapid K, Linstone HA, Pistorius C, et al., On the future of technological forecasting. Technology Forecasting and Social Change 2001; 67(1):1–17.

    Article  Google Scholar 

  55. Porter AL, Detampel MJ. Technology opportunities analysis. Tech. Forecasting and Social Change 1995; July, 49(3):237–255.

    Article  Google Scholar 

  56. Zhu D, Porter AL. Automated extraction and visualization of information for technological intelligence and forecasting. Technological Forecasting and Social Change 2002; June, 69(5):495–506.

    Article  Google Scholar 

  57. Teichert T, Mittermayer MA. Text mining for technology monitoring. Proceedings of the IEEE International Engineering Management Conference (IEMC), Cambridge, UK, 2002; August, 2:596–601.

    Article  Google Scholar 

  58. Zhu D, Porter A, et al., A process for mining science and technology documents databases, illustrated for the case of “knowledge discovery and data mining”. Cienc Inf. 1999; 28(1):1–8.

    Google Scholar 

  59. Helmer O. Analysis of the future: the Delphi method; and the Delphi method: An illustration. Technological Forecasting for Industry and Government, Bright, J. Ed. Prentice Hall, Englewood Cliffs, NJ, 1968.

    Google Scholar 

  60. Nassar A. Product value proposition: a step by step approach. Intercontinental Networks White Paper April 2003, http://www.anassar.net.

    Google Scholar 

  61. Kostoff RN, Schaller RR. Science and technology roadmaps. IEEE Trans. on Engineering Management 2001; 48(2):132–143.

    Article  Google Scholar 

  62. Walsh ST. Roadmapping a disruptive technology: A case study: The emerging microsystems and top-down nanosystems industry. Technological Forecasting and Social Change 2004; January–February, 71(1–2):161–175.

    Article  Google Scholar 

  63. Rinne M. Technology roadmaps: Infrastructure for innovation. Tech. Forecasting & Social Change 2004; 71(1–2):67–80.

    Article  Google Scholar 

  64. Phaal R, Farrukh C, Probert D. Developing a technology roadmapping system. In: Anderson TR, Kocaoglu DF, Daim TU, editors. Technology management: A unifying discipline for malting the boundaries. Portland: PICMET, 2005.

    Google Scholar 

  65. Myers J, Sandborn P. Integration of technology roadmapping information and business case development into DMSMS-driven design refresh planning of the V-22 advanced mission computer. Proceedings of the Aging Aircraft Conference, Palm Springs, CA 2007; April.

    Google Scholar 

  66. Sun-tzu. The art of war. Translated by Sawyer R.D. MetroBooks, New York, March 2002.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag London Limited

About this chapter

Cite this chapter

Sandborn, P., Myers, J. (2008). Designing Engineering Systems for Sustainability. In: Misra, K.B. (eds) Handbook of Performability Engineering. Springer, London. https://doi.org/10.1007/978-1-84800-131-2_7

Download citation

  • DOI: https://doi.org/10.1007/978-1-84800-131-2_7

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84800-130-5

  • Online ISBN: 978-1-84800-131-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics