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Improvement of Order Performance of a Supplier

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Applications of Mathematics and Informatics in Science and Engineering

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 91))

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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.

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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.

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Authors and Affiliations

  1. Department of Industrial Management and Technology, University of Piraeus, 80 Karaoli and Dimitriou Street, 18534, Piraeus, Greece

    Christodoulos Nikou & Socrates J. Moschuris (Associate Professor of Logistics and Supply Management)

Authors
  1. Christodoulos Nikou
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  2. Socrates J. Moschuris
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Corresponding author

Correspondence to Christodoulos Nikou .

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Editors and Affiliations

  1. Department of Mathematics and Engineering Sciences, Hellenic Military Academy, Vari Attikis, Greece

    Nicholas J. Daras

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Nikou, C., Moschuris, S.J. (2014). Improvement of Order Performance of a Supplier. In: Daras, N. (eds) Applications of Mathematics and Informatics in Science and Engineering. Springer Optimization and Its Applications, vol 91. Springer, Cham. https://doi.org/10.1007/978-3-319-04720-1_23

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