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Improvement of Order Performance of a Supplier

  • Christodoulos NikouEmail author
  • Socrates J. Moschuris
Chapter
Part of the Springer Optimization and Its Applications book series (SOIA, volume 91)

Abstract

Defence procurement is a multi-criteria decision problem and a large part of a Department of Defence (DoD) annual budget. For example, in the fiscal year 2009, contract obligations for the US DoD included $370 billion for defence-related supplies and services [3], and in Great Britain the respective amount for 2011–2012, was 20.1 billion pounds (UK NAO-National Audit Office (2013), Improving Government Procurement, London, United Kingdom). This paper develops a procedure for the evaluation/improvement of the ordering process in Military Critical Items to help procurement personnel report quickly and accurately to the Hierarchy of an agency/company. In this attempt, Perfect Order (PO) concept, Principal Component Analysis and Multivariate EWMA control chart were combined onto real data collected from members of the Armed Forces with the required confidentiality.

Keywords

Control Chart Supplier Selection Multivariate Exponentially Weighted Moving Average Anderson Darling Multivariate Control Chart 
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.

Notes

Acknowledgements

Opinions and results in this paper do not reflect the official position of the Hellenic Armed Forces. Sincere gratitude is hereby extended to the reviewers for their helpful comments.

References

  1. 1.
    Athansopoulos D (1999), Descriptive Statistics, Stamoulis publications (in Greek), Piraeus, Greece.Google Scholar
  2. 2.
    Amiri M et al (2008), Supplier Selection via Principal Components Analysis: An Empirical Examination, Journal of Applied Sciences 8 20:3715–3720.CrossRefGoogle Scholar
  3. 3.
    Apte AU et al (2011), An optimization approach to strategic sourcing: A case study of the United States Air Force, Journal of Purchasing & Supply Management 17:222–230CrossRefGoogle Scholar
  4. 4.
    Bae H (2012), The Influencing Factors of Logistics Integration and Customer Service Performance for Value Creation of Port Logistics Firms, The Asian Journal of Shipping and Logistics 28:345–368.CrossRefGoogle Scholar
  5. 5.
    Bidalis M (2009), Logistics, 2009 Kleidarithmos Publications (in Greek), Athens, Greece.Google Scholar
  6. 6.
    Bottani E,Rizzi A (2008), An adapted multi-criteria approach to suppliers and product selection-An application oriented to lead-time reduction, Int.J. Production Economics 111:763–781.Google Scholar
  7. 7.
    Chad W,Golicic G (2010), Evaluating buyer-supplier relationship-performance spirals: A longitudinal study, Journal of Operations Management 28:87–100.CrossRefGoogle Scholar
  8. 8.
    Cheng C et al (1999), Evaluating attack helicopters by AHP based on linguistic variable weights, The European Journal of Operational Research 116:423–435.CrossRefzbMATHGoogle Scholar
  9. 9.
    Cheraghi H et al (2004), Critical Success Factors For Supplier Selection: An Update, The European Journal of Operational Research 116:423–435.Google Scholar
  10. 10.
    Chopra S, Meindl P (2001), Supply Chain Management 1st Ed., Pearson Education Inc, New Jersey, USA.Google Scholar
  11. 11.
    Dagdeviren et al (2009), Weapon Selection using the AHP and TOPSIS methods under Fuzzy environment, Expert Systems with Applications 36:8143–8151.Google Scholar
  12. 12.
    Defence Acquisition University (2010), Defense Acquisition Guidebook, USA (http://www.dau.mil).
  13. 13.
    European Directive 47 (2012), Commission Directive 47/2012 Annex List of Defence Related Products,Google Scholar
  14. 14.
    Chopra S, Meindl P (2004), Supply Chain Management 2nd Ed., Pearson Education Inc, New Jersey, USA.Google Scholar
  15. 15.
    Gattorna J (2010), Dynamic Supply Chain-Delivering Value Through People 2nd Ed, Pearson Education Limited, Harlow CM20 2JE, United Kingdom.Google Scholar
  16. 16.
    Georgakakos G (2002), Statistical Process Control, Hellenic Open University press (in Greek), Patras, Greece.Google Scholar
  17. 17.
    Goodwin P, Wright G (2004), Decision Analysis for Management Judgement, John Wiley & Sons Ltd, The Atrium, West Sussex, England.Google Scholar
  18. 18.
    Guler E (2008), Incorporating multi-criteria considerations into supplier selection problem using Analytical Hierarchy Process: A case Study, Journal of Yasar University 3 12:1787–1810.Google Scholar
  19. 19.
    Gupta S et al (2001), Corruption and military spending, European Journal of Political Economy 17:749–777.CrossRefGoogle Scholar
  20. 20.
    Hellenic MoD (2002), Greek Land Forces Doctrine (GLFD), Hellenic Army General Staff Publications (in Greek),Athens, Greece.Google Scholar
  21. 21.
    Ho W et al (2010), Multi-criteria decision making approaches for supplier evaluation and selection: A literature review, European Journal of Operational Research 202:16–24.CrossRefzbMATHGoogle Scholar
  22. 22.
    Hsu C et al (2006), Supplier Selection Construct: Instrument development and validation, The International Journal of logistics Management 17 2:213–239.CrossRefGoogle Scholar
  23. 23.
    Jahns C, Moser R (2005), Benchmarking your supply organization: The supply Health Check,The 90th Annual International Supply Management Conference.Google Scholar
  24. 24.
    Johnson R, Wichern D (2007), Applied Multivariate Statistical Analysis, Pearson Prentice Hall, New Jersey, USA.zbMATHGoogle Scholar
  25. 25.
    Joint Logistics Commanders-JLC/Department of the US Navy (2005), ACSIMH-Aviation Critical Safety item Management Handbook, Patuxent River, USA.Google Scholar
  26. 26.
    Hsu C et al (2006), Multivariate Statistical Analysis, Stamoulis publications (in Greek), Athens, Greece.Google Scholar
  27. 27.
    Ko J, Newcomer K (2008), Transforming Public and Non-profit Organisation–Stewardship for Leading Change, Management Concepts, Vienna, VA.Google Scholar
  28. 28.
    Koutras V et al (2013), Polynomial Logistic distribution and its applications in finance, Journal of Communications in Statistics: Theory and Methods (accepted for publication).Google Scholar
  29. 29.
    Koutrouvelis J (2000), Probabilities and Statistics II, Hellenic Open University press (in Greek), Patras, Greece.Google Scholar
  30. 30.
    Laios L (2010), Supply Management, Humantec Publications (in Greek), Piraeus, Greece.Google Scholar
  31. 31.
    Lee E-K et al (2001), Supplier Selection and Management System Considering Relationships in Supply Chain Management, IEEE transactions on Engineering management 48 No 3.Google Scholar
  32. 32.
    Lee J et al (2010), A hybrid approach of goal programming for weapon systems selection, Journal of Computers & Industrial Engineering 58:521–527.CrossRefGoogle Scholar
  33. 33.
    Liu F, Hai HL (2005), The voting analytic hierarchy process method for selecting supplier, International Journal of Production Economics 97 (3):308–317.CrossRefGoogle Scholar
  34. 34.
    Logothetis N (2001, Procedures and Techniques for the Continuous Improvement of Quality, Hellenic Open University press (in Greek), Patras, Greece.Google Scholar
  35. 35.
    Lysons K, Farrinton B (2006), Purchasing and Supply Chain Management 7th Ed., Pearson Education Limited, Essex, England.Google Scholar
  36. 36.
    Mc Ginnis M (1995), Building Better Performance Measures, NAPM Insights 6:50.Google Scholar
  37. 37.
    Midi H, Shabbak A (2011), Robust multivariate control charts to detect small shifts in mean, Journal of Mathematical Problems in Engineering dx.doi.org/10.1155/2011/923463.Google Scholar
  38. 38.
    Monczka R et al (2010), Purchasing and Supply Chain Management 4th Ed, Cengage Learning EMEA, Andover, United Kingdom.Google Scholar
  39. 39.
    Monczka R, Petersen K (2009), Supply Strategy Implementation: Current State and Future Opportunities, CAPS Research, Arizona State University,USA.Google Scholar
  40. 40.
    Mosxouris S, Giannakopoulos D (2013), Logistics Management & Strategy, Rosilli publications (in Greek), Athnes,Greece.Google Scholar
  41. 41.
    NATO Support Agency (2012), FD 251-01 NAMSA Procurement Regulations Functional Directive 251-01 Amendment 6, NSPA, Capellen, G.D. of Luxembourg.Google Scholar
  42. 42.
    Nyberg H et al (2006), Multivariate analysis applied to test procedure for determining gun propelling charge weight Part I. Preliminary analysis of the data set, The Journal of Chemometrics and Intelligent Laboratory Systems 87:131–138.CrossRefGoogle Scholar
  43. 43.
    Papaioannou T, Ferentinos K, (2000), Mathematical Statistics, Stamoulis Publications (in Greek),Athens, Greece.Google Scholar
  44. 44.
    Petroni A, Braglia M, (2000), Vendor Selection Using Principal Component Analysis, The Journal of Supply Chain Management: A Global Review of Purchasing and Supply 36 2:63–69.CrossRefGoogle Scholar
  45. 45.
    Rao CR (1997), Statistics and Truth-Putting Chance to Work, World Scientific,Singapore.CrossRefzbMATHGoogle Scholar
  46. 46.
    Shen L et al (2012), A fuzzy multi criteria approach for evaluating green supplier’s performance in green supply chain with linguistic preferences, Resources Conservation and Recycling 74:170–179.CrossRefGoogle Scholar
  47. 47.
    Sen CG et al (2010), Pre selection of suppliers through an integrated fuzzy analytic hierarchy process and max-min methodology, International Journal of Production Research 48 (6):1603–1625.CrossRefzbMATHGoogle Scholar
  48. 48.
    Strain J, Preece D (1999), Project management and the integration of human factors in military system procurement, International Journal of Project Management 17(5): 283–292.CrossRefGoogle Scholar
  49. 49.
    Stueland V (2004), Supplier Evaluations: Best Practices and Creating or Improving Your Own Evaluation, 89th Annual International Supply Management Conference.Google Scholar
  50. 50.
    Tadelis S (2012), Public procurement design: Lessons from the private sector, The International Journal of Industrial Organization 30:297–302.CrossRefGoogle Scholar
  51. 51.
    UK MoD Development Concepts and Doctrine Centre-DCDC (2007), Logistics for Joint Operations, Joint Doctrine Publication 4/00, 3rd Edition.Google Scholar
  52. 52.
    UK MoD JSP 886 (2010), The management of equipment procured under urgent operational requirement arrangements, Volume 3 Part 10.Google Scholar
  53. 53.
    UK NAO-National Audit Office (2013), Improving Government Procurement, London, United Kingdom.Google Scholar
  54. 54.
    USA Government Accountability Office-GAO (1998), Best Practices-DoD can help suppliers contribute more to weapon system programs, GAONSIAD-98-87, Washington, USA.Google Scholar
  55. 55.
    USA Government Accountability Office-GAO (2005), Framework for Assessing the Acquisition Function at federal Agencies, GAO-05-218G, Washington, USA.Google Scholar
  56. 56.
    USA Government Accountability Office-GAO (2010), DoD’s High Risk Areas, GAO-10-929T, Washington, USA.Google Scholar
  57. 57.
    Wong L et al (2003), Military Leadership: A context specific review, The Leadership Quarterly 14:657–692.CrossRefGoogle Scholar
  58. 58.
    Yayha S, Kingsman B (1999), Vendor Rating for an entrepreneur development programme: a case study using the AHP method, Journal of the Operations Research Society 50:916–1030.CrossRefGoogle Scholar
  59. 59.
    Greek Law 3871 (2010),, Available unrestricted in http://www.et.gr, last assessed in Jun 2013.
  60. 60.
    Greek Law 3871 (2010),, Available unrestricted in http://www.et.gr, last assessed in Jun 2013.
  61. 61.
    Greek Law 3871 (2011),, Available unrestricted in http://www.et.gr, last assessed in Jun 2013.

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Industrial Management and TechnologyUniversity of PiraeusPiraeusGreece

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