An Optimal Budgeting Model for Dynamic Network Systems Design via Data Envelopment Analysis

Authors

  • A. Fakharzadeh
  • Mohammad Hassan Mojtabaei

DOI:

https://doi.org/10.30495/jme.v14i0.1242

Keywords:

Decision making unit (DMU), Budgeting, Parallel systems, Series systems, Dynamic network system model via DEA.

Abstract

Data envelopment analysis (DEA) is a nonparametric method aimed to estimate production frontiers. This technique has been empirically used to measure the productive efficiency of decision making units (  comprising a wide range of entities (i.e. banks, car makers, schools) in terms of their inputs conversion into outputs. The decision makers are challenged with the problem of restricted resources and optimal allocation of budget to each DMU. The common budget allocating models (except those having series internal processes) do not seriously address the internal processes of the DMUs. That is, they are overlooked and rather passed up as block boxes. This paper proposed a new model for optimal budgeting for designing dynamic network system using DEA implication. The advantages of this model (which can be regarded as the first accomplishment) are expounded through the research body. Within the framework of the dynamic network systems of optimal system design (OSD) via insights gained by DEA, the optimal budgeting, the budget deficit and the budget congestion along with superior features of the proposed model were systematically investigated. Finally, two cases were presented on which the suggested model was applied. In one application, the OSD network of a business entity with 5 DMUs was addressed; while the other one dealt with a business venture with 24 DMUs.

Downloads

Published

2019-10-29

Issue

Vol. 14

Section

Vol. 14, No. 3, (2020)

License

Upon acceptance of an article, authors will be asked to complete a 'Journal Publishing Agreement'. An e-mail will be sent to the corresponding author confirming receipt of the manuscript together with a "Journal Publishing Agreement" form or a link to the online version of this agreement.

Journal author rights

Authors have copyright but license exclusive rights in their article to the publisher. In this case authors have the right to:

  • Share their article in the same ways permitted to third parties under the relevant user license (together with Personal use rights) so long as it contains a link to the version of record on this website.
  • Retain patent, trademark and other intellectual property rights (including raw research data).
  • Proper attribution and credit for the published work.

Rights granted to this journal

The Journal of Mathematical Extension is granted the following rights:

  • This journal will apply the relevant third party user license where this journal publishes the article on its online platforms.
  • The right to provide the article in all forms and media so the article can be used on the latest technology even after publication.
  • The authority to enforce the rights in the article, on behalf of an author, against third parties, for example in the case of plagiarism or copyright infringement.

Protecting author right

Copyright aims to protect the specific way the article has been written to describe an experiment and the results. This journal is committed to its authors to protect and defend their work and their reputation and takes allegations of infringement, plagiarism, ethic disputes and fraud very seriously.

If an author becomes aware of a possible plagiarism, fraud or infringement we recommend contacting the editorial office immediately.

Personal use

Authors can use their articles, in full or in part, for a wide range of scholarly, non-commercial purposes as outlined below:

  • Use by an author in the author’s classroom teaching (including distribution of copies, paper or electronic)
  • Distribution of copies (including through e-mail) to known research colleagues for their personal use (but not for Commercial Use)
  • Inclusion in a thesis or dissertation (provided that this is not to be published commercially)
  • Use in a subsequent compilation of the author’s works
  • Extending the Article to book-length form
  • Preparation of other derivative works (but not for Commercial Use)
  • Otherwise using or re-using portions or excerpts in other works

These rights apply for all authors who publish their article in this journal. In all cases we require that all authors always include a full acknowledgement and, if appropriate, a link to the final published version hosted on this website.