Skip to main content

Part of the book series: Automation, Collaboration, & E-Services ((ACES,volume 2))

  • 2059 Accesses

Abstract

Similar to any investment decision, implementation of e-Work solutions requires a comprehensive rationalization from various perspectives, especially economy, productivity and sustainability. Considering e-Work, in general terms, as a sort of technology encapsulation (Nof, 2003 and 2007a), this chapter focuses on the prioritization of e-Work implementation plans. Realization of e-Work solutions depends highly on the demonstration of its inherent benefits to individual, networked e-Systems, and the users. The strategic requirements of an e-System are considered as a starting point to identify proper e-Work processes and solutions. As discussed earlier in this book, in line with the emergence of e-Systems, various e-Criteria are continuously evolving, which must be incorporated in the rationalization process as key performance indicators (e.g., reconfigurability and reusability of software and processes). Therefore, a robust framework is indeed required to support rationalization of e-Work implementation projects based on multiple (and somehow conflicting) e-Criteria.

In this chapter, basic operational strategies and traditional economic rationalization procedures are first reviewed. It is shown that traditional procedures cannot sufficiently address some emerging aspects of e-Work and disregard strategic benefits of technology. Several scenarios for production of goods and services are then analyzed in the form of value chains, corporative level strategy, business units strategies, and functional strategic planning to determine the operational strategies. Process specification is performed through Value Stream Maps (VSM) for each enterprise to achieve a cross-company operational specification. e-Work alternatives can then be evaluated through defining and prioritizing the implementation plans. Technology evaluation models are introduced for evaluating of the results. Such models conform the implementation plans for different e-Work alternatives. The goal is to maximize the benefits of enterprises and enhance the specification of e- Work processes and technologies through prioritizing the enterprise plans for research and development. Finally, a comprehensive Multi-Criteria Decision- Making (MCDM) framework, based on Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA), is introduced for evaluation of e-Work alternatives based on multiple e-Criteria.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
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. Aragon, C.B.: Collaborative analytics for astrophysics explorations. In: Nof, S.Y. (ed.) Springer Handbook of Automation, vol. 93, pp. 1645–1670. Springer (2009)

    Google Scholar 

  2. Banker, R.D., Charnes, A., Cooper, W.W.: Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science 30(9), 1078–1092 (1984)

    Article  MATH  Google Scholar 

  3. Boothroyd, G., Poli, C., Murch, L.E.: Automatic Assembly. Marcel Dekker, New York (1982)

    Google Scholar 

  4. Bozarth, C.C., Berry, W.L.: Measuring the congruence between market requirements and manufacturing: a methodology and illustration. Decision Sciences 28, 121–150 (1997)

    Article  Google Scholar 

  5. Ceroni, J.: Economic Justification of Automation Systems. In: Nof, S.Y. (ed.) Springer Handbook of Automation, ch. 40, pp. 699–713 (2009)

    Google Scholar 

  6. Charnes, A., Cooper, W.W., Rhodes, E.: Measuring the efficiency of decision making units. European Journal of Operational Research 2, 429–444 (1978)

    Article  MATH  MathSciNet  Google Scholar 

  7. Comella-Dorda, S., Dean, J., Lewis, G., Morris, E., Oberndorf, P., Harper, E.: A Process for COTS Software Product Evaluation (CMU/SEI-2003-TR-017) Pittsburgh, PA., Software Engineering Institute, Carnegie Mellon University (July 2004)

    Google Scholar 

  8. Cook, W.D., Tone, K., Zhu, J.: Data Envelopment Analysis: Prior to Choosing a Model. Omega 44, 1–4 (2013)

    Article  Google Scholar 

  9. Eilat, H., Golany, B., Shtub, A.: Constructing and evaluating balanced portfolios of R&D projects with interactions: A DEA based methodology. European Journal of Operational Research 172, 1018–1039 (2006)

    Article  MATH  Google Scholar 

  10. Hayes, R.H., Wheelwright, S.C.: Restoring our Competitive Edge – Competing Through Manufacturing. Wiley, New York (1984)

    Google Scholar 

  11. Hill, T.: Manufacturing Strategy: Text and Cases, 2nd edn. Palgrave, Hampshire (2000)

    Google Scholar 

  12. Irani, S.A., Zhou, J.: Value Stream Mapping of a Complete Product. Research memo. Department of Industrial, Welding and Systems Engineering, The Ohio State University (2011)

    Google Scholar 

  13. JBoss Application Server (2005), http://www.jboss.org/products/jbossas

  14. Kaplan, R.S., Norton, D.P.: The Balanced Scorecard. Measures that Drive Performance. Harvard Business Review, 71–78 (January-February 1992)

    Google Scholar 

  15. Kaplan, R.S., Norton, D.P.: Using the Balanced Scorecard as a Strategic Management System. Harvard Business Review, 75–85 (January-February 1996a)

    Google Scholar 

  16. Kaplan, R.S., Norton, D.P.: Linking the Balanced Scorecard to Strategy. California Management Review, 53–79 (Fall 1996b)

    Google Scholar 

  17. Kim, Y., Lee, J.: Manufacturing strategy and production systems: an integrated framework. Journal of Operations Management 11, 3–15 (1993)

    Article  Google Scholar 

  18. Leong, G.K., Snyder, D.L., Ward, P.T.: Research in the process and content of manufacturing strategy. Omega 18, 109–122 (1990)

    Article  Google Scholar 

  19. Lewis, G.A.: An Approach to Analysis and Design for COTS-Based Systems. In: Franch, X., Port, D. (eds.) ICCBSS 2005. LNCS, vol. 3412, pp. 236–247. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  20. Lewis, G.A., Wrage, L.: Approaches to Contructive Interoperability, Carnegie Mellon Software Engineering Institute CMU/SEI-2004-TR-020, ESC-TR-2004-020

    Google Scholar 

  21. Miltenburg, J.: Manufacturing Strategy - How to Formulate and Implement a Winning Plan. Productivity Press, Portland (1995)

    Google Scholar 

  22. Nof, S.Y.: Design of effective e-Work: Review of models, tools and emerging challenges. Production Planning and Control, Special Issue on e-Work: Models and Cases 15(8), 681 (2003)

    Google Scholar 

  23. Nof, S.Y.: Collaborative control theory for e-Work, e-Production, and e-Service. Annual Reviews in Control 31, 281–292 (2007a)

    Article  Google Scholar 

  24. Nof, S.Y.: Availability, integrability, and dependability – what are the limits in production and logistics. In: Proceedings of MCPL, Sibiu, Romania (September 2007b)

    Google Scholar 

  25. Oracle Corporation. Oracle Database (2005), http://www.oracle.com/database/

  26. Porter, M.: Competitive Advantage. Free Press, New York (1985)

    Google Scholar 

  27. Rother, M., Shook, J.: Learning to See. Version 1.2. Lean Enterprise Institute, Brookline (1999)

    Google Scholar 

  28. Saaty, T.: Decision Making with the Analytic Hierarchy Process. International Journal of Service Sciences 1(1), 83–98 (2008)

    Article  MathSciNet  Google Scholar 

  29. Schroeder, D.M., Congden, S.W., Gopinath, C.: Linking competitive strategy and manufacturing process technology. Journal of Management Studies 32, 163–189 (1995)

    Article  Google Scholar 

  30. Seok, H.S., Nof, S.Y., Filip, F.G.: Sustainability Decision Support System based on Collaborative Control Theory. Annual Reviews in Control 36(1), 85–100 (2012)

    Article  Google Scholar 

  31. Sheu, C.: Linking market factors to manufacturing design. Omega – International Journal of Management Science 22, 269–282 (1994)

    Article  Google Scholar 

  32. Velásquez, J.D., Nof, S.Y.: Collaborative e-Work, e-Production, and e-Service. In: Nof, S.Y. (ed.) Springer Handbook of Automation, ch. 88, pp. 1549–1576 (2009)

    Google Scholar 

  33. Wallnau, K., Hissam, S., Seacord, R.: Building Systems from Commercial Components. Addison-Wesley, New York (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shimon Y. Nof .

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Nof, S.Y., Ceroni, J., Jeong, W., Moghaddam, M. (2015). Rationalization. In: Revolutionizing Collaboration through e-Work, e-Business, and e-Service. Automation, Collaboration, & E-Services, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45777-1_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-45777-1_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45776-4

  • Online ISBN: 978-3-662-45777-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics