افزایش دقت پیشبینی زمان و هزینه پروژه با إعمال اثرات مخاطرههای پروژه و درنظر گرفتن وابستگی متقابل مخاطرهها با استفاده از مفهوم طبقهبندی | ||
مدیریت مهندسی و رایانش نرم | ||
دوره 11، شماره 1 - شماره پیاپی 20، مرداد 1404، صفحه 211-156 اصل مقاله (3 M) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.22091/jemsc.2025.11594.1219 | ||
نویسندگان | ||
فاطمه معظمی گودرزی* ؛ مریم اشرفی؛ سید حسن قدسی پور | ||
دانشکده مهندسی صنایع و سیستم های مدیریت، دانشگاه صنعتی امیرکبیر، تهران، ایران | ||
چکیده | ||
عدم قطعیت در پروژهها احتمال ایجاد حالتهای مختلفی از وقوع مخاطرهها را پدید میآورد که باعث کاهش دقت پیشبینی زمان و هزینه پروژه میشود. در مقاله حاضر، یک الگوی پیشبینی ارائه شده که این دقت را ضمن درنظر گرفتن فرآیندهای مدیریت مخاطره و روابط وابستگی مخاطرهها با استفاده از مفهوم طبقهبندی بهبود میبخشد. در واقع با استفاده از مفهوم طبقهبندی، کلیه حالتهای وقوع مخاطرهها به همراه اثرات آنها بر زمان و هزینه پروژه ارزیابی میشوند. نتایج پیادهسازی الگوی پیشنهادی در یک پروژه احداث سد، افزایش ۴۴.۷۳ درصدی زمان واقعی به نسبت زمان پیشبینی شده و افزایش ۳۱.۱۳ درصدی هزینه واقعی به نسبت هزینه پیشبینی شده را در صورت درنظر نگرفتن مخاطرهها و کاهش 9.66 درصدی زمان پروژه و کاهش 15.14 درصدی هزینه پروژه را در صورت اجرای راهبردهای پاسخگویی نشان میدهد و اهمیت إعمال فرآیندهای مدیریت مخاطره در پیشبینی زمان و هزینه پروژه را برجسته میکند. انجام تحلیل حساسیت الگوی پیشنهادی نیز ضرورت ارزیابی کلیه طبقات و حالات وقوع مخاطرههای پروژه را با استفاده از مفهوم طبقهبندی در مراحل ارزیابی و پاسخگویی مخاطرهها تأیید میکند. | ||
کلیدواژهها | ||
مدیریت مخاطره؛ پیشبینی زمان و هزینه؛ وابستگی متقابل مخاطرهها؛ مفهوم طبقهبندی؛ ارزیابی و پاسخگویی مخاطره | ||
عنوان مقاله [English] | ||
Increasing the accuracy of predicting project time and cost by applying the effects of project risks and considering the interdependence of risks using the concept of stratification | ||
نویسندگان [English] | ||
Fatemeh Moazemi Goodarzi؛ Maryam Ashrafi؛ Seyed Hasan Ghodsypour | ||
Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran | ||
چکیده [English] | ||
Uncertainty in projects reduces the accuracy of predicting project time and cost. In this article, a forecasting model is presented that improves this accuracy while considering risk management processes and risk dependency relationships using the concept of stratification. Using the concept of stratification, all the occurrences of risks are evaluated along with their effects on the time and cost of the project. The results of the implementation of the proposed model in a dam construction project showed a 44.73% increase in actual time compared to the predicted time and a 31.13% increase in the actual cost compared to the predicted cost if risks are not considered and a 9.66% decrease in the project time and decrease 15.14% shows the project cost if response strategies are implemented, and highlights the importance of applying risk management processes in predicting project time and cost. Carrying out the sensitivity analysis of the proposed model also confirms the necessity of evaluating all classes and occurrences of project risks using the concept of stratification in the risk assessment and response stages. | ||
کلیدواژهها [English] | ||
Risk management, Predicting time and cost, Interdependence of risks, Concept of stratification, Risk assessment and response | ||
مراجع | ||
Aarthipriya, V., Chitra, G., Poomozhi, J. S. (2020). Risk and its impacts on time and cost in construction projects. Journal of Project Management, 5(4), 245-254. Https://doi.org/10.5267/j.jpm.2020.6.002. Al saffar, I. Q., Ezzat, A. W. (2020). Qualitative risk assessment of combined cycle power plant using hazards identification technique. Journal of Mechanical Engineering Research and Developments, 43(2), 284-293. Alkhawaja, A. S., Varouqa, I. F. (2022). Risks management of infrastructure line services and their impact on the financial costs of road projects in jordan. Journal of Measurement: Sensors, 25, 100647. Https://doi.org/10.1016/j.measen.2022.100647. Asadabadi, M. R. (2018). The stratified multi-criteria decision-making method. International Journal of Knowledge-Based Systems, 162, 115-123. Https://doi.org/10.1016/j.knosys.2018.07.002. Asadabadi, M. R., Saberi, M., Chang, E. (2017). Logistic informatics modelling using concept of stratification (CST). IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7. Https://doi.org/10.1109/FUZZ-IEEE.2017.8015510. Asadabadi, M. R., Saberi, M., Chang, E. (2018). Letter: the concept of stratification and future applications. International Journal of Applied Soft Computing, 66, 292-296. Https://doi.org/10.1016/j.asoc.2018.02.035. Asadabadi, M. R., Zwikael, O. (2019). Integrating risk into estimations of project activities’ time and cost: a stratified approach. European Journal of Operational Research, 291(2), 482-490. Https://doi.org/10.1016/j.ejor.2019.11.018. Chandanshive, V. B., Kambekar, A. R. (2021). Prediction of building construction project cost using support vector machine. Journal of Industrial Engineering and Strategic Management, 1(1), 31-42. Https://doi.org/10.22115/iesm.2021.297399.1015. Fakhri Nazari, M. Fakhri Nazari, E., Bakhsh, N. (2023). Presenting a method to reduce the sensitivity of incremental clustering algorithms of XML documents based on collective intelligence algorithms. Enginiiring Management and Soft Computing, 9 (2). 177-187. Guan, L., Abbasi, A., Ryan, M. J. (2020). Analyzing green building project risk interdependencies using interpretive structural modeling. International Journal of Cleaner Production, 256, 120372. Https://doi.org/10.1016/j.jclepro.2020.120372. Guan, L., Abbasi, A., Ryan, M. J. (2021). A simulation-based risk interdependency network model for project risk assessment. International Journal of Decision Support Systems, 148, 113602. Https://doi.org/10.1016/j.dss.2021.113602. Hasheminejad, N., Zare, A., Farahbakhsh, S., Bamir, M., Zolala, F. (2022). Hazard identification and risk assessment of occupational activities in golgohar mining company, southeast iran (2021). Journal of Occupational Health and Epidemiology, 11(1), 32-40. Https://dx.doi.org/10.52547/johe.11.1.32. Hosseini, S. A., Arjroody, A. R., Akhbari, M., Safa, E., Asadpour, J. (2022). Analyzing the effects of critical risk occurrence probability on time and cost of road construction projects using a schedule plan. International Journal of Transportation Engineering, 10(3), 1121-1137. Https://doi.org/10.22119/ijte.2021.312111.1598. Kermanshachi, S., Pamidimukkala, A. (2023). Robustness analysis of total project cost and schedule delay and overrun indicators of heavy industrial projects. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 15(2), 04523005. Https://dx.doi.org/10.1061/JLADAH.LADR-942. Khalilzadeh, M., Shakeri, H., Zohrehvandi, S. (2021). Risk identification and assessment with the fuzzy DEMATEL-ANP method in oil and gas projects under uncertainty. International Journal of Procedia Computer Science, 181, 277-284. Https://doi.org/10.1016/j.procs.2021.01.147. Yavari, M., & Akbari, A. H. (2023). Service level and profit maximisation in order acceptance and scheduling problem with weighted tardiness. International Journal of Industrial and Systems Engineering, 43(3), 331-362. https://doi.org/10.1504/IJISE.2023.129138 Akbari, A. H., & Jafari, M. (2025). Development of a Deep Reinforcement Learning Algorithm in a Dynamic Cellular Manufacturing System Considering Order Rejection, Case Study: Stone Paper Factory. Engineering Management and Soft Computing, 10(2), 204-222. doi: 10.22091/jemsc.2025.11853.1230 Jabbari, M., Rezaeenour, J., & Akbari, A. H. (2023). A Feature Selection Method Based on Information Theory and Genetic Algorithm. Sciences and Techniques of Information Management, 9(3), 32-7. doi: 10.22091/stim.2023.8708.1877 Koulinas, G. K., Xanthopoulos, A. S., Sidas, K. A., Koulouriotis, D. E. (2021). Risks ranking in a desalination plant construction project with a hybrid AHP, risk matrix, and simulation-based approach. International Journal of Water Resources Management, 35(10), 3221-3233. Https://doi.org/10.1007/s11269-021-02886-4. Leu, S., Liu, Y., Wu, P. (2023). Project cost overrun risk prediction using hidden markov chain analysis. International Journal of Buildings, 13(3), 667. Https://doi.org/10.3390/buildings13030667. Maleki, M. H., Dalvand, H., Jahangirnia, H., Safa, M. (2023). Identifying and prioritizing investment risks in sports projects (case study: tourism industry). International Journal of Advances in Mathematical Finance and Applications, 8(1), 75-94. Https://doi.org/10.22034/amfa.2021.1918106.1536. Memarpour Ghiaci, A., Gheidar-Kheljani, J. (2023). A hybrid model of extended FMEA model based on F-PIPRECIA and ZEDAS methods with Bow Tie to evaluate cybersecurity risks in Industry 4.0. Enginiiring Management and Soft Computing, 9 (2). 149-176. Tavakkoli-Moghaddam, R., Akbari, A. H., Tanhaeean, M., Moghdani, R., Gholian-Jouybari, F., & Hajiaghaei-Keshteli, M. (2024). Multi-objective boxing match algorithm for multi-objective optimization problems. Expert Systems with Applications, 239, 122394. https://doi.org/10.1016/j.eswa.2023.122394 Yavari, M., Marvi, M., & Akbari, A. H. (2020). Semi-permutation-based genetic algorithm for order acceptance and scheduling in two-stage assembly problem. Neural Computing and Applications, 32, 2989-3003. https://doi.org/10.1007/s00521-019-04027-w Tanhaeean, M., Tavakkoli-Moghaddam, R., & Akbari, A. H. (2022). Boxing match algorithm: A new meta-heuristic algorithm. Soft Computing, 26(24), 13277-13299. https://doi.org/10.1007/s00500-022-07518-6 Mican, C., Fernandes, G., Araujo, M. (2021). A method for project portfolio risk assessment considering risk interdependencies – a network perspective. International Journal of Procedia Computer Science, 196, 948-955. Https://doi.org/10.1016/j.procs.2021.12.096. Project Management Institute. (2017). A Guide to the Project Management Body of Knowledge (PMBOK® GUIDE). 6th Edition, PMI. Saeidi-Mobarakeh, Z., Amoozad Khalili, H. (2024). Nonlinear Multi-Objective Optimization Model for Production Planning Based on Fuzzy Logic and Machine Learning. Enginiiring Management and Soft Computing, 10 (1). 155-189. Https://doi.org/10.22091/jemsc.2024.11186.1197. Thoengsal, J., Tumpu, M. (2022). Analysis of project cost and time performance control using earned value method analysis (EVM-A) (Case study of concrete road construction project). International Journal of Engineering Business and Social Science, 1(2), 80-85. Https://dx.doi.org/10.58451/ijebss.v1i02.15. Zadeh, L. A. (2016). Stratification, target set reachability and incremental enlargement principle. International Journal of Information Sciences, 354, 131-139. Https://doi.org/10.1016/j.ins.2016.02.047. Zhu, F., Hu, H., Xu, F. (2022). Risk assessment model for international construction projects considering risk interdependence using the DEMATEL method. Journal of Plos One, 17(5), e0265972. Https://doi.org/10.1371/journal.pone.0265972. | ||
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