Improving Performance of Project through Utilizing Statistical Control Chart Based on Adaptive Management and Scientific Engineering

Authors

  • Atheer Hashim Nimr Nimr Engineering and Architectural Faculty, Department of Civil Engineering, Altınbaş Üniversitesi, Bağcılar 34217, Istanbul, Turke
  • Sepanta Naimi Engineering and Architectural Faculty, Department of Civil Engineering, Altınbaş Üniversitesi, Bağcılar 34217, Istanbul, Turke

Keywords:

Weighted Decision matrix, adaptive façade factors, CPI, SPC

Abstract

the facade adaptive construction project management is considered a major challenge in project construction management.  It represents one of the economic issues due to the use of sustainable concepts. This part of building construction in Iraq faced many problems. these problems are prepared as adaptive factors in this research. the questionnaire has been developed and evaluated by the experts. the main effective factors specified using the Weighted Decision Matrix method.  The Weighted Decision Matrix Results observed for the economic adaptive factor is urbanization level effect, the socially effective factor is facility usage rate and the technologically effective factor is demand for construction equipment. Applying these factors effect on the performance of project  can observe an enhancement in the project CPI. The enticement results show an improvement in CPI results. SPC control chart of CPI detects out-of-control limits and presents a signal of the necessity of corrective actions to dynamically anticipate project success, the current method provides an evolutionary monitoring and control model for project success that can be used to assess the strength of the relationship between factors and to model the interaction between variables.

Downloads

Download data is not yet available.

References

M. Celikag and S. Naimi, “Building construction in North Cyprus: Problems and alternatives solutions,” Procedia Eng., vol. 14, no. December 2011, pp. 2269–2275, 2011, doi: 10.1016/j.proeng.2011.07.286.

A. M. Elewe, K. Bin Hasnan, and A. Bin Nawawi, “Hybridized firefly algorithm for multi-objective Radio Frequency Identification ( RFID ) Network planning HYBRIDIZED FIREFLY ALGORITHM FOR MULTI-OBJECTIVE RADIO FREQUENCY IDENTIFICATION ( RFID ) NETWORK PLANNING,” no. February, 2017.

D. Jugend and J. Figueiredo, “Integrating environmental sustainability and project portfolio management: Case study in an energy firm,” Gest. e Prod., vol. 24, no. 3, pp. 526–537, 2017, doi: 10.1590/0104-530X3451-16.

A. M. Elewe et al., “Review of RFID optimal tag coverage algorithms REVIEW OF RFID OPTIMAL TAG COVERAGE ALGORITHMS,” no. July, 2016.

S. NAIMI and M. A. KARIMI, “Pavement Management System Investigation in Case of Afghanistan,” Cumhur. Sci. J., no. March, 2019, doi: 10.17776/csj.471334.

S. Naİmİ and H. Hrİzİ, “Risk Analysis of Slaving Floor in Construction Sites İnşaat Şantiyelerde Kaygan Zeminin Risk Analizi,” vol. 9, pp. 1637–1645, 2019.

A. Nawab, “ADAPTIVE PROJECT MANAGEMENT - THE CASE OF SAUDI ARAMCO,” no. August, pp. 0–19, 2020.

L. C. Foxcroft and M. Mcgeoch, “Implementing invasive species management in an adaptive management framework,” Koedoe, vol. 53, no. 2, pp. 0–11, 2011, doi: 10.4102/koedoe.v53i2.1006.

K. Rahi, “Project resilience: A conceptual framework,” Int. J. Inf. Syst. Proj. Manag., vol. 7, no. 1, pp. 69–83, 2019, doi: 10.12821/ijispm070104.

M. K. Fageha and A. A. Aibinu, “Managing Project Scope Definition to Improve Stakeholders’ Participation and Enhance Project Outcome,” Procedia - Soc. Behav. Sci., vol. 74, no. March, pp. 154–164, 2013, doi: 10.1016/j.sbspro.2013.03.038.

S. Naimi and M. Celikag, “Problems of Reinforced Concrete Building,” no. April 2010, 2014.

P. Jas̈kowski and A. Sobotka, “Scheduling construction projects with resources accessibility limited and changeable in time,” J. Civ. Eng. Manag., vol. 10, no. 4, pp. 267–276, 2004, doi: 10.1080/13923730.2004.9636319.

C. L. Pritchard, “Work Breakdown Structure,” Proj. Manag. Drill B., no. June, pp. 147–156, 2019, doi: 10.4324/9780203741764-14.

D. K. Shinde and N. C. Agricultural, “Standardization of triple constraint in construction industry,” 34 invest international conference, no. June, 2021.

H. L. Guo, H. Li, and M. Skitmore, “Life-Cycle Management of Construction Projects Based on Virtual Prototyping Technology,” J. Manag. Eng., vol. 26, no. 1, pp. 41–47, 2010, doi: 10.1061/(asce)0742-597x(2010)26:1(41).

C. Paper and P. Zi, “PROJECT MANAGEMENT CYCLE IN THE CONSTRUCTION INDUSTRY AUGMENTED BY COLLABORATIVE INNOVATION NETWORK,” no. July, 2016, doi: 10.13140/RG.2.2.35332.94089.

A. Manewa, M. Siriwardena, and C. Wijekoon, “Life cycle costing in construction: Current trends and emerging directions,” World Constr. Symp., no. July, pp. 403–412, 2021, doi: 10.31705/WCS.2021.35.

J. Lindgren, S. Emmitt, and K. Widén, “Construction projects as mechanisms zfor knowledge integration: Mechanisms and effects when diffusing a systemic innovation,” Eng. Constr. Archit. Manag., vol. 25, no. 11, pp. 1516–1533, 2018, doi: 10.1108/ECAM-02-2017-0022.

P. W. Chan and O. Ejohwomu, “How Does Project Management Relate To Productivity? A systematic review of published evidence,” APM Res. reports, no. July, 2018.

A. M. Elewe, K. Bin Hasnan, and A. Bin Nawawi, “Hybridized firefly algorithm for multi-objective Radio Frequency Identification (RFID) Network planning,” ARPN J. Eng. Appl. Sci., vol. 12, no. 3, pp. 834–840, 2017.

I. Madanhire and C. Mbohwa, “Application of Statistical Process Control (SPC) in Manufacturing Industry in a Developing Country,” Procedia CIRP, vol. 40, no. December, pp. 580–583, 2016, doi: 10.1016/j.procir.2016.01.137.

E. E. Elbeltagi, M. H. Dawood, and A. H. Abd-Elraheem, “Statistical fuzzy process control charts for monitoring construction performance of project ,” J. Eng. Appl. Sci., vol. 58, no. 1, pp. 77–93, 2011.

A. S. Ali and I. Rahmat, “The performance measurement of construction projects managed by ISO-certified contractors in Malaysia,” J. Retail Leis. Prop., vol. 9, no. 1, pp. 25–35, 2010, doi: 10.1057/rlp.2009.20.

A. M. Elewe and W. A. Zaboon, “Real Time Rfid-Based Equipment for Monitoring Environmental Railway Systems,” Int. J. Ind. Eng. Res. Dev., vol. 11, no. 1, 2020, doi: 10.34218/ijierd.11.1.2020.002.

H. K. Aljamee and S. M. Naeem, “The benefits of applying project management methodology on project delay: A study in construction projects in Iraq,” IOP Conf. Ser. Mater. Sci. Eng., vol. 745, no. 1, 2020, doi: 10.1088/1757-899X/745/1/012155.

K. Bin Hasnan, N. H. Talib, A. Bin Nawawi, A. M. Elewe, H. B. Abdullah, and S. Tahir, “An efficient algorithm for large-scale RFID Network Planning,” 2019 IEEE Jordan Int. Jt. Conf. Electr. Eng. Inf. Technol. JEEIT 2019 - Proc., no. April, pp. 519–524, 2019, doi: 10.1109/JEEIT.2019.8717490.

T. Zan, Z. Su, Z. Liu, D. Chen, M. Wang, and X. Gao, “Pattern recognition of different window size control charts based on convolutional neural network and information fusion,” Symmetry, vol. 12, no. 9. 2020, doi: 10.3390/sym12091472.

H. De la Torre-Gutiérrez and D. T. Pham, “A control chart pattern recognition system for feedback-control processes,” Expert Systems with Applications, vol. 138. 2019, doi: 10.1016/j.eswa.2019.112826.

M. Atalay, M. Caner Testik, S. Duran, and C. H. Weiß, “Guidelines for automating Phase I of control charts by considering effects on Phase-II performance of individuals control chart,” Quality Engineering, vol. 32, no. 2. pp. 223–243, 2020, doi: 10.1080/08982112.2019.1641208.

L. J. Kao and C. C. Chiu, “Application of integrated recurrent neural network with multivariate adaptive regression splines on SPC-EPC process,” Journal of Manufacturing Systems, vol. 57. pp. 109–118, 2020, doi: 10.1016/j.jmsy.2020.07.020.

W. Suriyakat, “On sensitivity of control chart for monitoring serially correlated data,” Interdisciplinary Research Review. 2020.

N. Yousefi, A. Sobhani, L. M. Naeni, and K. R. Currie, “Using statistical control charts: To monitor duration-based performance of project,” J. Mod. Proj. Manag., vol. 6, no. 3, pp. 88–103, 2019, doi: 10.19255/JMPM01806.

results of adaptive factors

Downloads

Published

13.02.2023

How to Cite

Nimr Nimr, A. H. . ., & Naimi, S. . (2023). Improving Performance of Project through Utilizing Statistical Control Chart Based on Adaptive Management and Scientific Engineering. International Journal of Intelligent Systems and Applications in Engineering, 11(4s), 587–593. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2730

Issue

Vol. 11 No. 4s (2023)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.