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AIMS Energy

2020, Volume 8, Issue 5: 918-934. doi: 10.3934/energy.2020.5.918
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Research article

Classification, prioritization, efficiency, and change management of EPC projects in Energy and Petroleum industry field using the TOPSIS method as a multi-criteria group decision-making method

  • 1.
    Department of Civil Engineering, Sari Branch, Islamic Azad University, Sari, Iran
  • 2.
    Department of Civil Engineering, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran
  • Received: 10 April 2020 Accepted: 19 August 2020 Published: 21 September 2020

  • Nowadays, Energy supply is a key factor in defining the strategy of different countries. The Petroleum industry, as a major industry of energy production, has become a specialized field due to its diverse products. In this regard, many countries around the world seriously aim to find the best executive and contractual methods along with careful planning to carry out projects in production, extraction, and development of this field in the Petroleum and Energy industry. One of the low-risk methods for carrying out these projects is the implementation of projects in the field of Energy and Petroleum industry under Engineering, Procurement and Construction (EPC) contracts, which transmits the lowest risk to clients. Scope, time, cost and quality are the main features of project management that affect its efficiency and any project is analyzed and evaluated by these factors. Accordingly, the purpose of this research is to analyze, prioritize, rank, and manage efficiency of EPC executive projects in Energy and Petroleum industry of Iran, using the TOPSIS method as a multi-criteria group decisionmaking method. The results show that engineering is the most important factor influencing project. In addition, the construction phase has more influence on productivity than the procurement phase. The results of this research and analyses obtained from TOPSIS show that 'poor planning and sequencing of modeling, design, plan, and layout preparation', 'weakness in project planning and control during execution', and 'defective product performance made with project specifications' have more impact on the failure of EPC projects in the energy and Petroleum industry of Iran.

    Citation: Peyman Niayeshnia, Morteza Rayati Damavand, Sirous Gholampour. Classification, prioritization, efficiency, and change management of EPC projects in Energy and Petroleum industry field using the TOPSIS method as a multi-criteria group decision-making method[J]. AIMS Energy, 2020, 8(5): 918-934. doi: 10.3934/energy.2020.5.918

    Related Papers:

  • Nowadays, Energy supply is a key factor in defining the strategy of different countries. The Petroleum industry, as a major industry of energy production, has become a specialized field due to its diverse products. In this regard, many countries around the world seriously aim to find the best executive and contractual methods along with careful planning to carry out projects in production, extraction, and development of this field in the Petroleum and Energy industry. One of the low-risk methods for carrying out these projects is the implementation of projects in the field of Energy and Petroleum industry under Engineering, Procurement and Construction (EPC) contracts, which transmits the lowest risk to clients. Scope, time, cost and quality are the main features of project management that affect its efficiency and any project is analyzed and evaluated by these factors. Accordingly, the purpose of this research is to analyze, prioritize, rank, and manage efficiency of EPC executive projects in Energy and Petroleum industry of Iran, using the TOPSIS method as a multi-criteria group decisionmaking method. The results show that engineering is the most important factor influencing project. In addition, the construction phase has more influence on productivity than the procurement phase. The results of this research and analyses obtained from TOPSIS show that 'poor planning and sequencing of modeling, design, plan, and layout preparation', 'weakness in project planning and control during execution', and 'defective product performance made with project specifications' have more impact on the failure of EPC projects in the energy and Petroleum industry of Iran.


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    [1] Kabirfar K, Mojtahed M (2019) The impact of Engineering, Procurement and Construction (EPC) Phases on Project Performance. Buildings 9: 15.
    [2] Mahmoud A, Asghar F, Naoreen B, et al. (2014) 'Success factors on research projects at university' an exploratory study. Procedia-Soc Behav Sci 116: 2779-2783.
    [3] Joslin R, Muller R (2016) The relationship between project governance and project success. Int J Proj Manage 34: 613-626.
    [4] Martens M, Carvalho M (2017) Key factors of sustainability in project Management context: A survey exploring the project Managers' perspective. Int J Proj Manage 35: 1084-1102.
    [5] Kenny C (2007) Construction, Corruption and Developing Countries. Policy; Research Working Paper, No. WPS 4271; World Bank: Washington, DC, USA.
    [6] Zavadskas E, Vainiunas P, Turskis Z, et al. (2012) multiple criteria decision support system for˙ assessment of projects Managers in construction. Int J Inf Technol Decis Making 23: 501-520.
    [7] Olanrewaju A, Abdul-Aziz A (2015) Building maintenance processes, principles, procedures, practices and strategies. Build Maint Processes and Pract, 79-129.
    [8] Neyestani B, Juanzon J (2016) Developing an Appropriate Performance Measurement Framework for Total Quality Management in Construction, and Other Industries; University Library of Munich: Munich, Germany.
    [9] Oakland J, Marosszeky M (2017) Total Construction Management: Lean Quality in Construction Project Delivery; Routledge: Abington, UK.
    [10] Gudiene N, Banaitis A, Podvezko V, et al. (2014) Identification and evaluation of the critical success˙ factors for construction projects in Lithuania: Ahp approach. J Civ Eng Manage 20: 350-359.
    [11] Lin G, Shen G (2011) Identification of key performance indicators for measuring the performance of value Management studies in construction. J Construct Eng Manage, 698-706.
    [12] Masoudnejad M, Rayati M, Gholampour S, et al. (2018) Developing a model for improving the productivity and energy production of small-scale power plants using the physical asset management model in a fuzzy environment. AIMS Energy 6: 1009-1024.
    [13] Tommelein I (2015) Journey toward lean construction: Pursuing a paradigm shift in the aec industry. J Construct Eng Manage, 141-150.
    [14] Ogunde A, Joshua O, Amusan L, et al. (2017) Project Management a panacea to improving the performance of construction project. Int J Civ Eng Technol 8: 1234-1242.
    [15] Sears K, Sears G, Clough R, et al. (2015) Construction Project Management; John Wiley & Sons: Hoboken, NJ, USA.
    [16] Hanseth O, Lyytinen K (2016) Design theory for dynamic complexity in information infrastructures: The case of building internet. Enacting Res Methods Inf Syst, 104-142.
    [17] Peter W, Morris S, Jeffrey K, et al. (2011) The Oxford Handbook of Project Management. 15: 125-131.
    [18] Mir F, Pinnington A (2014) Exploring the value of project Management: Linking project Management performance and project success. Int J Proj Manage 32: 202-217.
    [19] Gonzalez P, González V, Molenaar K, et al. (2013) Analysis of causes of delay and time performance in construction projects. J Construct Eng Manage 140: 401-427.
    [20] Zaini A, Adnan H, Che Haron R, et al. (2010) Contractors' Approaches to risk management at the construction phase in Malaysia. In Proceedings of the International Conference on Construction Project Management (ICCPM), Chengdu, China, 1 December.
    [21] Zeng S, Ma H, Lin H, et al. (2015) Social responsibility of major infrastructure projects in china. Int J Proj Manage 33: 537-548.
    [22] Davis K (2016) A method to measure success dimensions relating to individual stakeholder groups. Int J Proj Manage 34: 480-493.
    [23] Ogunlana S (2010) Beyond the 'iron triangle': Stakeholder perception of key performance indicators (kpis) for large-scale public sector development projects. Int J Proj Manage 28: 228-236.
    [24] Chou J, Irawan N, Pham A (2013) Project Management knowledge of construction professionals: Cross-country study of effects on project success. J Construct Eng Manage 139.
    [25] Demirkesen S, Ozorhon B (2017) Impact of integration Management on construction project Management performance. Int J Proj Manage 35: 1639-1654.
    [26] Lo T, Fung W, Tung K, et al. (2017) Construction delays in Hong Kong civil engineering proje.
    [27] Arditi D, Nayak S, Damci A (2017) Effect of organizational culture on delay in construction. Int J Proj Manage 35: 136-147.
    [28] Olawale Y, Sun M (2010) Cost and time control of construction projects: Inhibiting factors and mitigating measures in practice. Construct Manage Econ 28: 509-526.
    [29] Mubarak S (2015) Construction Project Scheduling and Control; John Wiley & Sons: Hoboken, NJ, USA.
    [30] Tonchia S, Industrial Project Management. Springer: Berlin, Germany, 2018. Available from: https: //link.springer.com/book/10.1007%2F978-3-662-56328-1#authorsandaffiliationsbook.
    [31] Darvik L, Larsson J (2010) The Impact of Material Delivery-Deviations on Costs and Performance in Construction Projects. Master's Thesis, Chalmers University of Technology, Goteborg, Sweden.
    [32] Jollands S, Akroyd C, Sawabe N, et al. (2015) Core values as a Management control in the construction of 'sustainable development'. Qual Res Account Manage 12: 127-152.
    [33] Jiang H, Lin P, Qiang M, et al. (2015) A labor consumption measurement system based on real-time tracking technology for dam construction site. Autom Construct 52: 1-15.
    [34] Gamil Y, Rahman I (2018) Identification of causes and effects of poor communication in construction industry: A theoretical review.
    [35] Subramani T, Sruthi P, Kavitha M, et al. (2014) Causes of cost overrun in construction. IOSR J Eng 4: 1-7.
    [36] Gunduz M, Nielsen Y, Ozdemir M, et al. (2013) Fuzzy assessment model to estimate the probability of delay in Turkish construction projects. J Manage Eng 31: 401-405.
    [37] Zou P, Zhang G (2009). Managing risks in construction projects: Life cycle and stakeholder perspectives. Int J Construct Manage 9: 61-77.
    [38] Oshodi Olalekan S, Rimaka I (2013) A comparative study on causes and effects of delay in nigerian and iranian construction projects. Asian J Bus Manage Sci 3: 29-36.
    [39] Minaie H (2013) Identifying Success Factor in Mass Buildings Construction; Tehran University: Tehran, Iran.
    [40] Shokouhinia M (2010) Analysis of Success Factor in Aria-Petro-Gas Company; Tehran University: Tehran, Iran.
    [41] Piran M (2010) Identifying Success Factor in Oil and Gas Project; Tehran University, Iran.
    [42] Abolhasani A (2012) Assessment of Success Factor in Construction Project; Tehran University: Tehran, Iran.
    [43] Dalirpour A (2012) Analysis of Success Factor on the Project-Based Organization; Tehran University: Tehran, Iran.
    [44] Doulabi R, Asnaashari E (2016) Identifying success factors of healthcare facility construction projects in Iran. Proc Eng 164: 409-415.
    [45] Marmolejo Duarte C, Spairani Berrio S, Del Moral-Á vila C, et al. (2020) The relevance of EPC labels in the Spanish residential market: The perspective of real estate agents. Buildings, 10.
    [46] Pal R, Wang P, Liang X, et al. (2017) The critical factors in Managing relationships in international engineering, procurement, and construction (iepc) projects of chinese organizations. Int J Proj Manage 35: 1225-1237.
    [47] Meng X (2012) The effect of relationship Management on project performance in construction. Int J Proj Manage 30: 188-198.
    [48] Ngacho C, Das D (2014) A performance evaluation framework of development projects: An empirical study of constituency development fund (cdf) construction projects in Kenya. Int J Proj Manage 32: 492-507.
    [49] Jang W, Hong H, Han S, et al. (2016) Optimal supply vendor selection model for lng plant projects using fuzzy-topsis theory. J Manage Eng 33: 04016035.
    [50] Abbaspour M, Toutounchian S, Dana T, et al. (2018) Environmental parametric cost model in oil and gas epc contracts. Sustainability 10: 195.
    [51] Jato-Espino D, Castillo-Lopez E, Rodriguez J, et al. (2014) A review of application of multi-criteria decision making, methods in construction. Autom Construct 45: 151-162.
    [52] Zavadskas E, Turskis Z, Kildiene S, et al. (2014) State of art surveys of overviews on mcdm/madm methods. Technol Econ Dev Econ 20: 165-179.
    [53] Harish Garg N (2020) Algorithms for single-valued neutrosophic decision making based on TOPSIS and clustering methods with new distance measure. AIMS Math 5: 2671-2693.
    [54] Adeleke A, Bahaudin A, Kamaruddeen A, et al. (2017) The Influence of Organizational External Factors on Construction Risk Management in Nigerian Construction Companies, Safety and Health at Work.‏
    [55] Xu Y, Chan A, Xia B, et al. (2015) Critical risk factors affecting the implementation of PPP waste-to-energy projects in China. Appl Energy 158: 403-411.
    [56] Wang Y, Niu D, Xing M, et al. (2010) Risk management evaluation based on Elman neural network for Power Plant Construction Project. Adv Intell Inf Database Syst, 315-324.
    [57] Ghoddousi P, Hosseini M (2012) A survey of the factors affecting the productivity of construction projects in Iran. Technol Econ Dev Econ, 99-116.
    [58] Shaar K, Assaf S, Bambang T, et al. (2017) Design-construction interface problems in large building construction projects. Int J Construct Manage 17: 238-250.
    [59] AlNasseri H, Aulin R (2015) Assessing understanding of planning and scheduling theory and practice on construction projects. Eng Manage 27: 58-72.
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  • © 2020 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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