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A methodology for the selection of new technologies in the aviation industry

By Oliver Houseman, Ashutosh Tiwari and Rajkumar Roy

Abstract

The purpose of this report is to present a technology selection methodology to quantify both tangible and intangible benefits of certain technology alternatives within a fuzzy environment. Specifically, it describes an application of the theory of fuzzy sets to hierarchical structural analysis and economic evaluations for utilisation in the industry. The report proposes a complete methodology to accurately select new technologies. A computer based prototype model has been developed to handle the more complex fuzzy calculations. Decision-makers are only required to express their opinions on comparative importance of various factors in linguistic terms rather than exact numerical values. These linguistic variable scales, such as ‘very high’, ‘high’, ‘medium’, ‘low’ and ‘very low’, are then converted into fuzzy numbers, since it becomes more meaningful to quantify a subjective measurement into a range rather than in an exact value. By aggregating the hierarchy, the preferential weight of each alternative technology is found, which is called fuzzy appropriate index. The fuzzy appropriate indices of different technologies are then ranked and preferential ranking orders of technologies are found. From the economic evaluation perspective, a fuzzy cash flow analysis is employed. This deals quantitatively with imprecision or uncertainties, as the cash flows are modelled as triangular fuzzy numbers which represent ‘the most likely possible value’, ‘the most pessimistic value’ and ‘the most optimistic value’. By using this methodology, the ambiguities involved in the assessment data can be effectively represented and processed to assure a more convincing and effective decision- making process when selecting new technologies in which to invest. The prototype model was validated with a case study within the aviation industry that ensured it was properly configured to meet the

Year: 2004
OAI identifier: oai:dspace.lib.cranfield.ac.uk:1826/772
Provided by: Cranfield CERES

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Citations

  1. (1991). Capital Budgeting and the Utilization of Full Information: Performance Evaluation and the Exercise of Real Options', doi
  2. (1986). A Decision Framework for Evaluating Vacuum Pumping Technology', doi
  3. (1993). The Case for a Generalized Net Present Value Formula', doi
  4. (1987). The Fuzzy Mathematics of Finance', Fuzzy Sets and Systems, A methodology for the selection of new technologies in the aviation industry doi
  5. (2000). Evaluation Methodologies for Technology Selection', doi
  6. (1994). Fuzzy Cash Flow Analysis Using Present Worth Criterion', doi
  7. (1996). Multiple Criteria R&D Project Selection and Scheduling Using Fuzzy Logic', doi
  8. (1989). The Art of Justifying New Technology to Top Management', doi
  9. (1990). An Application-Oriented Guide to R&D Project Selection and Evaluation', doi
  10. (1991). Evaluating Competing R&D Investments', doi
  11. (1985). RADSIM - A Methodology for LargeScale R&D Program Assessment', doi
  12. (2001). Fuzzy Multi-Criteria Decision-Making Procedure for Evaluating Advanced Manufacturing System Investments', doi
  13. (1990). Ranking Fuzzy Numbers With Index of Optimism', doi
  14. (1995). Capital Budgeting in a Fuzzy World University of Texas,
  15. (1997). Short-Termism and the Appraisal of AMT Capital Projects Inthe US and UK.', doi
  16. (1994). AMT Project Hurdle Rates Too High?',
  17. (1980). A Fuzzy Set Procedure for Project Selection', doi
  18. (1986). Modelling a Research Portfolio Using AHP: A Group Decision Process', doi
  19. (1990). Multi-Criteria Analysis and Budget Reallocation in Long-Term Research', doi
  20. (1985). An Interactive Decomposable Heuristic for Project Selection', doi
  21. (1993). A Methodology for Large-Scale R&D Planning Based on Cluster Analysis', doi
  22. (1988). Selecting R&D Projects: A Case Study of the Expected Utility Approach', doi
  23. (1986). Justification Techniques for Advanced Manufacturing Technologies',
  24. (1987). Evaluating Flexible Manufacturing Systems', doi
  25. (1969). An Analytical Approach to Scoring Model Design: Application to Research and Development Project Selection.', doi
  26. (1990). Using the Analytic Hierarchy Process for Information System Project Selection', doi
  27. (1992). Strategic Acquisition of New Manufacturing Technology: a Review and Research Framework.', doi
  28. (1990). Promoting Innovation Management by Decision Support Systems; Facilitating New Products' Relevance to the Corporate Objectives',
  29. (1992). Past and Present Methods of Manufacturing Investment Evaluation: A Review of the Empirical and Theoretical Liturature', doi
  30. (1993). Survey of Project Evaluation Techniques Currently Used in Industry', doi
  31. (1995). Selection and Implementation of Advanced Manufacturing Technologies: Classification and Literature Review of Issues', doi
  32. (1989). A Zero-One Goal Programming Approach for Information System Project', doi
  33. (1995). A Multiple Criteria Decision Model for Information System Project Selection', doi
  34. (1995). A Unified Framework for the Selection of a Flexible Manufacturing System', doi
  35. (1997). Economic and Strategic Justification of AMT -Inferences From Industiral Practices', doi
  36. (1989). Managing Technology - The Strategic View, doi
  37. (1992). The Economic Analysis of Capital Expenditures for Managers and Engineers,
  38. (2003). CROSS: A Multicriteria Group-Decision-Making Model for Evaluating and Prioritizing Advanced-Technology Projects at NASA', doi
  39. (1982). R&D Project Selection and Manpower Allocation With Integer Nonlinear Goal Programming', doi
  40. (1985). Decision Analysis and Strategic Management of Research and Development: A Comparison Between Applications in Electronics and Ethical Phramaceuticals', doi
  41. (2002). The Contribution of Technology Selection to Core Competencies', doi
  42. (1997). A Sensitivity Analysis Approachfor Some Deterministic Multi-Criteria Decision-Making Methods', doi
  43. (1988). Analysis of R&D Portfolio Strategies for Contract Competition', doi
  44. (1988). Justification of FMS With the Analytic Hierarchy Process', doi
  45. (1989). Fuzzy Discounted Cash Flow Analysis', in doi
  46. (1990). Planning Models for Research and Development', doi
  47. (1993). A Filter System for Technology Evaluation and Selection', doi

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