Document Type : Original Article


1 Assistant Professor, Malek-e-Ashtar University of Technology, Shahin shahr.

2 MSc Student, Islamic Azad Univercity, Najafabad Branch.

3 MSc Student, Malek-e-Ashtar University of Technology, Shahin shahr.


In today's competitive world, compliance with customer requirements is a primary requisite of staying in a non-exclusive and competitive market. The late delivery of products results in the dissatisfaction of customers and imposes additional costs. Hence, one of the critical problems in the organization is the delay of the projects, which makes considering strategies for addressing them essential. This research was carried out in the industry of manufacturing airborne items and systems in 2020 to identify and prioritize the delay factors and timely delivery strategies of products. For this purpose, identifying and classifying the delay factors is done through the organization excellence model and then the dependence network relations of delay factors and solution determined by interpretive structure modeling technique and their impact on delays calculated by network analysis. Finally, by analyzing the significance-performance and the three indexes cost solution for implementing corrective amount, duration and availability for modification and feasible, acceptable solutions were identified and prioritized. The findings showed that 45 factors were root causes of delay, from among 113 detected delay factors, and after interpretive structure modeling, 14 corrective strategies and weighting and prioritizing were proposed by the experts.


1. Alwi, S. & Hampson, K. D. (2003). Identifying the important causes of delays in bulding construction projects. 9th East Asia-Pacific Conference on Structural Engineering and Construction, Bali, Indonesia.
2. Amiri, M., Darsetani, A. & Mahbub Ghodsi, M. (2017). Multi-criteria Decision Making. Keyhan Press, Tehran. (In Persian)
3. Aziz, R. F. & Abdel-Hakam, A. A. (2016). Exploring delay causes of road construction projects in Egypt. Alexandria Engineering Journal55(2), 1515-1539.
4. Azzopardi, E. & Nash, R. (2013). A critical evaluation of Importance–Performance Analysis. Tourism Management35, 222-233.
5. Behmanesh, R., Zaree Mehrjoie, Y. & Olia, M. S. (2010). Prioritizing human capital improvement processes in Isfahan Oil Refinery Company based on RCF with approach IPA.  Jornal of Production and Operations Management,3(4),  39-63. (In Persian)
6. Büyüközkan, G. & Karabulut, Y. (2017). Energy project performance evaluation with sustainability perspective. Energy119, 549-560.
7. Coccia, M. (2018). The Fishbone diagram to identify, systematize and analyze the sources of general purpose Technologies. Journal of Social and Administrative Sciences4(4), 291-303.
8. Das, S. & Chakraborty, S. (2011). Selection of non-traditional machining processes using analytic network process. Journal of Manufacturing Systems30(1), 41-53.
9. Deng, W. J. & Pei, W. (2009). Fuzzy neural based importance-performance analysis for determining critical service attributes. Expert Systems with Applications36(2), 3774-3784.
10. Dobrovič, J., Kmeco, Ľ., Gallo, P. & Gallo jr, P. (2019). Implications of the Model EFQM as a Strategic Management Tool in Practice: A Case of Slovak Tourism Sector. Journal of Tourism and Services,10(18), 47-62.
11. Doloi, H., Sawhney, A., Iyer, K. C. & Rentala, S. (2012). Analysing factors affecting delays in Indian construction projects. International journal of project management30(4), 479-489.
12. Dubey, M. & Lakhanpal, P. (2019). EFQM model for overall excellence of Indian thermal power generating sector. The TQM Journal31(3), 319-339.
13. Ertay, T., Ruan, D. & Tuzkaya, U. R. (2006). Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems. Information Sciences176 (3), 237-262.
14. European Organization for Quality Management EFQM. (2014). excellence model of EFQM2013. Translated by Adresi, A & Taraski, M. Nashre Novin Press, Teharn. (In Persian)
15. Farmanbar, M., Dashti Nasrabadi, H. & Enayati, F. (2013). Analysis and selection of the best solution to improving the Haraz-based Road construction project by QFD approach. National conference of applied Civil engineering and new achievements. (In Persian)
16. Farsijani, H. & Dehghan, E. (2016). Performance evaluation to achieve the world-class product according to VU method. Journal of industrial management perspective, 6(2), 45-65. (In Persian).
17. Heydariyeh, S. & Kheirandish, A. (2016). Identifying and prioritizing the causes of delay in development projects by FAHP method. 4th International management conference, Economics and Accounting, Tabriz University. (In Persian)
18. Higgins, J. (2014). Problem Creative Solving Technique. Translated by Ahmad Pourdaryani, M, Amirkabir press.
19. Hosseinzadeh, M,. Mehregan,. M. R. & Ghomi, M. (2019). Identifying and analyzing supply chain risks of Saipa Automobile Company using the Coso Model and Social Network Analysis (SNA). Journal of Production and Operations Management, 10(1), 111- 132. (In Persian)
20. Hussain, M., Awasthi, A.  & Tiwari, M. K. (2016). Interpretive structural modeling-analytic network process integrated framework for evaluating sustainable supply chain management alternatives. Applied Mathematical Modelling40(5-6), 3671-3687.
21. Kannan, G., Pokharel, S. &  Kumar, P. S. (2009). A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider. Resources, conservation and recycling54(1), 28-36.
22. Karbasian, M., Khaboshani, A., Javanmardi., M. & Zanjirchi, M. (2011). The application of ISM model for rating agile suppliers selection indicators and supplier ranking using fuzzy TOPSIS-AHP method. Journal of Production and Operations Management, 2(2), 107-133. (In Persian)
23. Mandal, A. & Deshmukh, S. G. (1994). Vendor selection using interpretive structural modelling (ISM). International Journal of Operations & Production Management14(6), 52-59.
24. Marzouk, M. M. & El-Rasas, T. I. (2014). Analyzing delay causes in Egyptian construction projects. Journal of advanced research5(1), 49-55.
25. MirFakhredini, H., Mirghafouri, H. & Sayadi, H. (2011). Prioritizing improvement projects in EFQM model using balanced scorecard approach (case study: Yazd regional electricity company). Journal of industrial management perspective, 2(2), 91-106. (In Persian).
26. Moghimi, A. (2014). Multi-criteria Decision MakingKatibeh Gol Press, Tehran. (In Persian)
27. Nosrati, S. (2012). Identifying the causes of delay in Projects of Power Distribution Company of Tehran by Knowledge Management Approach and Prioritizing them by MCDM Method. Sird conference, Tehran. (In Persian)
28. Ravand, M.  & Abhari, M. (2011). Investigation of causes of  delay in Oil and Gas industrial projects of National Iranian South Oil Company. Journal of industrial management of faculty of humanities6(17), 43-57
29. Rohmah, W. G., Mustaniroh, S. A., Deoranto, P. & Nharawasthu, D. A. (2018). An Interpretive Structural Modelling (ISM) Approach for Institutional Analysis of Gadung Yam (Dioscorea Hispida Dennst) Chips Supply Chain in SMEs Tulungagung, East Java, Indonesia, ICMEBSS 2018, 158.
30. Shafiei,N. M., Naderi, R. & Tajik, H. (2016). Extra-Organizational Factors Influencing Knowledge Management in Supply Chain: A Combinational Approach of Factor Analysis and Interpretive Structural Modeling. Journal of industrial management perspective, 6(23), 131-157. (In Persian).
31. Song, X., Shen, L., Wu, Y., Liao, S. & Zhang, X. (2016). Interpretive Structural Modeling based factor analysis on the implementation of Emission Trading System in the Chinese building sector. Journal of Cleaner Production127, 214-227.
32. Zebardast, E. (2010). The application of Analytic Network Process (ANP) in Urban and regional planning. Jornah of Honarhai ziba2(41), 79-90. (In Persian)