A Mathematical Programming Model to Identification and Reduce the Cause of Project Delays by using Gray Multimoora Method
Keywords:
model, delay, project, Gray MULTIMOORA
Abstract
A distinctive problem related to projects is the delay in the process of executing them. In general, delays are due to different factors which are originated from the individuals who are concerned with the projects. This problem is more important in megaprojects because of their complexity, uncertainty and long execution time. If the causes of delays are identified at the beginning of their execution, they can be prevented or reduced through appropriate activities. Changes in any factors of the project such as human forces, constructing material and other resources may cause delays in timing the projects. This is an applied research in which theoretical data were collected using the library method. Interviews and questionnaires distributed among the experts of this field were the tools of collecting data. Through a short review on delays in projects, 10 common effective reasons were found which were related to the employer, contractor and the consultant. This study was conducted and weighed on the projects of local electricity power companies in Fars province. Using the three aspects of Gray MULTIMOORA, a model was designed to prioritize the factors that cause the delay. This study suggests some solutions to control and reduce the delays.
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References
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Chatterjee, P., Athawale, V. M., & Chakraborty, S. (2010). Selection of industrial robots using compromise ranking and outranking methods. 1Robotics and Computer-Integrated Manufacturing, 26(5), 483-489.
Das Adhikary, D., Kumar Bose, G., Bose, D., & Mitra, S. (2014). Multi-criteria FMECA for coal-fired thermal power plants using COPRAS-G. International Journal of Quality & Reliability Management, 31(5), 601-614.
Datta, S., Sahu, N., & Mahapatra, S. (2013). Robot selection based on gray-MULTIMOORA approach. Gray Systems: Theory and Application, 3(2), 201-232.
Farzamnia, E., & Babolghani, M. B. (2014). GROUP DECISION-MAKING PROCESS FOR SUPPLIER SELECTION USING MULTIMOORA TECHNIQUE UNDER FUZZY ENVIRONMENT. Kuwait Chapter of the Arabian Journal of Business and Management Review, 3(11A), 203.
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Gorener, A., Dinçer, H., & Hacioglu, U. (2013). Application of Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) Method for Bank Branch Location Selection.
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Karande, P., & Chakraborty, S. (2012). A Fuzzy-MOORA approach for ERP system selection. Decision Science Letters, 1(1), 11-21.
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Kumar, R., & Garg, R. K. (2010). Optimal selection of robots by using distance-based approach method. Robotics and Computer-Integrated Manufacturing, 26(5), 500-506.
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Mehregan, M. (2007). Multi-Objective Decision Making, Collegiate Center Pub. Tehran. (In Persian).
Mezher, Toufic; Jamali, Dima;Zreik, Carine, article,(2012) The role of financial institutions in the sustainable development of Lebanon.
Mohamadi, A. Molaei, N. (2010). Application of Multi-Criteria Decision Making in Companies’ Performance Assessment, Industerial Management Journal, 1, 34-51. (In Persian).
Momeni, M. 2010. New issues in operation research, Faculty of Management of the University of Tehran Pub. Tehran (In Persian).
Naghash Tusi, H., Sebt. M.H and Zobchi, A. (2008). An analytic study on the continuous repletion of deviations and the weak performance of projects in achieving the planned goals, The fourth international conference on project management.
Parameshwaran, R., Kumar, S. P., & Saravanakumar, K. (2015). An integrated fuzzy MCDM based approach for robot selection considering objective and subjective criteria. Applied Soft Computing, 26, 31-41.
Parchami, J., Hosseini, M. (2008). Analyzing the factors of changing the time and cost of reservoir construction projects and the amount of the employer, consultant and the contractor’s effect on it, The project management international conference.
Rao, R. V., & Padmanabhan, K. K. (2006). Selection, identification, and comparison of industrial robots using digraph and matrix methods. Robotics and Computer-Integrated Manufacturing, 22(4), 373-383.
Rashid, T., Beg, I., & Husnine, S. M. (2014). Robot selection by using generalized interval-valued fuzzy numbers with TOPSIS. Applied Soft Computing, 21, 462-468.
Sarucan, A., Baysal, M. E., Kahraman, C., & Engin, O. (2011). A hierarchy gray relational analysis for selecting the renewable electricity generation technologies. In Proceedings of the world congress on engineering, 2, 1149-1154.
Schumacher, Lee., (1995) PE. Quantifying and Apportioning Delay on Construction projects. Cost Engineering 37,no.2
Shakeri, A., Ghorbani, A. (2005). Value engineering and managing claims and disputes in civil projects, The second conference on value engineering.
Shakeri, A., Ghorbani, A.(2005). Project management and knowing the main causes of the contractors’ claims in civil projects, The management project international conference.
Stankevičienė, J., & Sviderskė, T. (2012). Country risk assessment based on MULTIMOORA. In 7th International Scientific Conference “Business and Management 2012” May 10-11, 2012, Vilnius, Lithuania.
Stanujkic, D., Magdalinovic, N., Stojanovic, S., & Jovanovic, R. (2012). Extension of ratio system part of MOORA method for solving decision-making problems with interval data. Informatica, 23(1), 141-154.
Summaiyya, Naikwadi., Paranay, Khare. (2013). “Causes of Delays in Construction Project”., International Journal of Science and Research(IJSR).
Taghifard, M. Malek,A. 2010. Using Gray Decision Making method to Key Performance Criteria Ranking and Strategic Planning improvement, Industrial Management Studies, 22, 135-166. . (In Persian).
Tarohid, S.A. (2004). Designing the methodology of determining the effect of activities on delays in projects through isolating the responsible, Master thesis, Amirkabir University.
Turskis, Z., & Zavadskas, E. K. (2010). A novel method for multiple criteria analysis: gray additive ratio assessment (ARAS-G) method. Informatica, 21(4), 597-610.
Vatankhah, R. (2003). Studying the causes of delay in civil projects, Master thesis, Tarbiat Modarres University.
Williams, T. (2003). ‘’Assessing Extension of Time delays on major projects’’, International Journal of Project Management, 21, pp. 19-26
Yaghoubzade, N., Aghil, M. (2015). Prioritizing the delay causes in urban civil projects; Case study: The Gorgan province overpass bridge project in Shahid Ghandehari Square , The second international conference on the development-oriented civil, architecture, electricity power and mechanic engineering.
Yaghoubzade, N., Kavian, Z., Razavi, S. (2015). Studying the causes of delay in the time of executing civil projects in terms of the agents of the project; Case study: Re-residing project in Jangaldeh village, The second international conference on the development-oriented civil, architecture, electricity power and mechanic engineering
Zarabadipour, A. (2009). scientific study on the experiences obtained from the delays in a national project, The first managing knowledge conference.
Balezentis, A., Balezentis, T., & Brauers, W. K. (2012). MULTIMOORA-FG: A multi-objective decision-making method for linguistic reasoning with an application to personnel selection. Informatica, 23(2), 173-190.
Barzinpour, F., Pirouzfar, R. (2010). Studying and prioritizing the delay causes in construction projects; Case study: Combined cycle power plant, The project management international conference.
Bhattacharyya, O., & Chakraborty, S. (2015). Q-analysis in Materials Selection. Decision Science Letters, 4(1), 51-62.
Brauers, W. K. M., & Zavadskas, E. K. (2012). Robustness of MULTIMOORA: a method for multi-objective optimization. Informatica, 23(1), 1-25.
Brauers, W. K. M., Zavadskas, E. K., Turskis, Z., & Vilutiene, T. (2008). Multi‐objective contractor's ranking by applying the Moora method. Journal of Business Economics and Management, 9(4), 245-255.
Chakraborty, S. (2011). Applications of the MOORA method for decision making in a manufacturing environment. The International Journal of Advanced Manufacturing Technology, 54(9-12), 1155-1166.
Chatterjee, P., Athawale, V. M., & Chakraborty, S. (2010). Selection of industrial robots using compromise ranking and outranking methods. 1Robotics and Computer-Integrated Manufacturing, 26(5), 483-489.
Das Adhikary, D., Kumar Bose, G., Bose, D., & Mitra, S. (2014). Multi-criteria FMECA for coal-fired thermal power plants using COPRAS-G. International Journal of Quality & Reliability Management, 31(5), 601-614.
Datta, S., Sahu, N., & Mahapatra, S. (2013). Robot selection based on gray-MULTIMOORA approach. Gray Systems: Theory and Application, 3(2), 201-232.
Farzamnia, E., & Babolghani, M. B. (2014). GROUP DECISION-MAKING PROCESS FOR SUPPLIER SELECTION USING MULTIMOORA TECHNIQUE UNDER FUZZY ENVIRONMENT. Kuwait Chapter of the Arabian Journal of Business and Management Review, 3(11A), 203.
Gadakh, V. S. (2010). Application of MOORA method for parametric optimization of the milling process. International Journal of Applied Engineering Research, 1(4), 743.
Ghotbi, Z. (2008). Studying the causes of delay in civil projects of Iranian airport networks, Master thesis, The Iranian center of studies, management and efficiency
Gonalez, P., Gonzalez, V., Molenaar, K., Oronzo,F . (2013) Analysis of Causes of Delay and Time Performance in Construction Projects, American Society of Civil Engineers.
Gorener, A., Dinçer, H., & Hacioglu, U. (2013). Application of Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) Method for Bank Branch Location Selection.
Hajivand, Sh., Kiani Ra’d, A., Kazemnejad. M. (2010). Studying the causes of delay in the time of executing the Karkhe river projects, The project management international conference.
Jafarnezhad, A. Ghasemi, A. 2010. Technology Acquisition Strategy in Science and Technology Park of University of Tehran, Management Information Technology, 1, 34-51. . (In Persian).
Jolly, K. G., Kumar, R. S., & Vijayakumar, R. (2010). Intelligent task planning and action selection of a mobile robot in a multi-agent system through a fuzzy neural network approach. Engineering Applications of Artificial Intelligence, 23(6), 923-933.
Kalibatas, D., & Turskis, Z. (2015). Multicriteria evaluation of inner climate by using MOORA method. Information technology and control, 37(1).
Karande, P., & Chakraborty, S. (2012). A Fuzzy-MOORA approach for ERP system selection. Decision Science Letters, 1(1), 11-21.
Karande, P., & Chakraborty, S. (2012). Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection. Materials & Design, 37, 317-324.
Kazaz,Aynur;Ulubeyli, Serdar;Tuncbilekli, Nihan.(2012) Causes of Delays In Construction Projects In Turkey, Journal od Civil Engineering and Management,32,212-221.
Kildiene, S. (2013). Assessment of opportunities for construction enterprises in European Union member states using the MULTIMOORA method. Procedia Engineering, 57, 557-564.
Kim, G., Jong, Y., Liu, S., & Shong, C. R. (2012). Hybrid Gray Interval Relation Decision-Making in Artistic Talent Evaluation of Player. arXiv preprint arXiv:1207.3855.
Kumar Sahu, A., Datta, S., & Sankar Mahapatra, S. (2014). Supply chain performance benchmarking using gray-MOORA approach: An empirical research. Gray Systems: Theory and Application, 4(1), 24-55.
Kumar, R., & Garg, R. K. (2010). Optimal selection of robots by using distance-based approach method. Robotics and Computer-Integrated Manufacturing, 26(5), 500-506.
Mansfield, N; Ugwu,O; Doran,T, (1994). Causes of delay and cost overruns in Nigerian construction projects, International Journal of project management, 12p. 254-260.
Mehregan, M. (2007). Multi-Objective Decision Making, Collegiate Center Pub. Tehran. (In Persian).
Mezher, Toufic; Jamali, Dima;Zreik, Carine, article,(2012) The role of financial institutions in the sustainable development of Lebanon.
Mohamadi, A. Molaei, N. (2010). Application of Multi-Criteria Decision Making in Companies’ Performance Assessment, Industerial Management Journal, 1, 34-51. (In Persian).
Momeni, M. 2010. New issues in operation research, Faculty of Management of the University of Tehran Pub. Tehran (In Persian).
Naghash Tusi, H., Sebt. M.H and Zobchi, A. (2008). An analytic study on the continuous repletion of deviations and the weak performance of projects in achieving the planned goals, The fourth international conference on project management.
Parameshwaran, R., Kumar, S. P., & Saravanakumar, K. (2015). An integrated fuzzy MCDM based approach for robot selection considering objective and subjective criteria. Applied Soft Computing, 26, 31-41.
Parchami, J., Hosseini, M. (2008). Analyzing the factors of changing the time and cost of reservoir construction projects and the amount of the employer, consultant and the contractor’s effect on it, The project management international conference.
Rao, R. V., & Padmanabhan, K. K. (2006). Selection, identification, and comparison of industrial robots using digraph and matrix methods. Robotics and Computer-Integrated Manufacturing, 22(4), 373-383.
Rashid, T., Beg, I., & Husnine, S. M. (2014). Robot selection by using generalized interval-valued fuzzy numbers with TOPSIS. Applied Soft Computing, 21, 462-468.
Sarucan, A., Baysal, M. E., Kahraman, C., & Engin, O. (2011). A hierarchy gray relational analysis for selecting the renewable electricity generation technologies. In Proceedings of the world congress on engineering, 2, 1149-1154.
Schumacher, Lee., (1995) PE. Quantifying and Apportioning Delay on Construction projects. Cost Engineering 37,no.2
Shakeri, A., Ghorbani, A. (2005). Value engineering and managing claims and disputes in civil projects, The second conference on value engineering.
Shakeri, A., Ghorbani, A.(2005). Project management and knowing the main causes of the contractors’ claims in civil projects, The management project international conference.
Stankevičienė, J., & Sviderskė, T. (2012). Country risk assessment based on MULTIMOORA. In 7th International Scientific Conference “Business and Management 2012” May 10-11, 2012, Vilnius, Lithuania.
Stanujkic, D., Magdalinovic, N., Stojanovic, S., & Jovanovic, R. (2012). Extension of ratio system part of MOORA method for solving decision-making problems with interval data. Informatica, 23(1), 141-154.
Summaiyya, Naikwadi., Paranay, Khare. (2013). “Causes of Delays in Construction Project”., International Journal of Science and Research(IJSR).
Taghifard, M. Malek,A. 2010. Using Gray Decision Making method to Key Performance Criteria Ranking and Strategic Planning improvement, Industrial Management Studies, 22, 135-166. . (In Persian).
Tarohid, S.A. (2004). Designing the methodology of determining the effect of activities on delays in projects through isolating the responsible, Master thesis, Amirkabir University.
Turskis, Z., & Zavadskas, E. K. (2010). A novel method for multiple criteria analysis: gray additive ratio assessment (ARAS-G) method. Informatica, 21(4), 597-610.
Vatankhah, R. (2003). Studying the causes of delay in civil projects, Master thesis, Tarbiat Modarres University.
Williams, T. (2003). ‘’Assessing Extension of Time delays on major projects’’, International Journal of Project Management, 21, pp. 19-26
Yaghoubzade, N., Aghil, M. (2015). Prioritizing the delay causes in urban civil projects; Case study: The Gorgan province overpass bridge project in Shahid Ghandehari Square , The second international conference on the development-oriented civil, architecture, electricity power and mechanic engineering.
Yaghoubzade, N., Kavian, Z., Razavi, S. (2015). Studying the causes of delay in the time of executing civil projects in terms of the agents of the project; Case study: Re-residing project in Jangaldeh village, The second international conference on the development-oriented civil, architecture, electricity power and mechanic engineering
Zarabadipour, A. (2009). scientific study on the experiences obtained from the delays in a national project, The first managing knowledge conference.
Published
2018-10-30
How to Cite
Forouhar, F., Safarialadoolat, S., & Mehdi Abtahi, S. (2018). A Mathematical Programming Model to Identification and Reduce the Cause of Project Delays by using Gray Multimoora Method. Amazonia Investiga, 7(16), 167-183. Retrieved from https://amazoniainvestiga.info/index.php/amazonia/article/view/392
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