• ISSN: 2010-0248 (Print)
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Quarterly (since 2021); Bimonthly (2010-2020)
    • DOI: 10.18178/IJIMT
    • Editor-in-Chief: Prof. Jin Wang
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: Google Scholar, CNKI, Ulrich's Periodicals Directory,  Crossref and ProQuest, Electronic Journals Library.
    • E-mail: ijimt@ejournal.net
IJIMT 2022 Vol.13(3): 51-57 ISSN: 2010-0248
doi: 10.18178/ijimt.2022.13.3.921

A Decision Support System for the Building Permit Review Process

Judith Fauth and Sebastian Seiß

Abstract—Obtaining a building permit is an indispensable factor for a successful construction project. However, from a project management perspective, it is a non-transparent and subjective variable. There is a gap of assistance for the building application review in the building authorities. The approach aims to develop a decision support system for building permit review process from a project management's point of view. For this purpose, the requirements for a decision support system related to the building permit are identified. To convert the theoretical system into a practical solution, a web application is developed. The presented approach thus offers an alternative to automated rule checking. The decision support system makes the building permit process more objective and transparent.

Index Terms—Decision support system, building permit, code compliance checking, process modeling, building application review.

The authors are with the Department of Construction Engineering and Management, Bauhaus University Weimar, Thuringia, 99423 Weimar, Germany (e-mail: judith.ponnewitz@uni-weimar.de, sebastian.seiss@uni-weimar.de).

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Cite: Judith Fauth and Sebastian Seiß, "A Decision Support System for the Building Permit Review Process," International Journal of Innovation, Management and Technology vol. 13, no. 3, pp. 51-57, 2022.

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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