Abstracts – Browse Results
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Abdolrezaei, H, Siahkali, H and Olamaei, J (2021) Coordination of similar days and multi-objective posterior process to predict energy of transmission substation. Journal of Engineering, Design and Technology, 19(6), 1556-85.
Chellappa, V, Srivastava, V and Salve, U R (2021) A systematic review of construction workers' health and safety research in India. Journal of Engineering, Design and Technology, 19(6), 1488-504.
Eken, T Y, Sarioglu, C and Kucuk, I (2021) Corrosion behaviour of twin-roll cast 8006 aluminium alloy foil with different thicknesses for the food packaging industry. Journal of Engineering, Design and Technology, 19(6), 1421-32.
Evans, M, Farrell, P, Zewein, W and Mashali, A (2021) Analysis framework for the interactions between building information modelling (BIM) and lean construction on construction mega-projects. Journal of Engineering, Design and Technology, 19(6), 1451-71.
Faraji, A (2021) Neuro-fuzzy system based model for prediction of project performance in downstream sector of petroleum industry in Iran. Journal of Engineering, Design and Technology, 19(6), 1268-90.
- Type: Journal Article
- Keywords: forecasting; performance; uncertainty
- ISBN/ISSN:
- URL: 10.1108/JEDT-06-2020-0241
- Abstract:
Planning phase of a project results to series of crucial decisions which determine the path to objectives achievement. At the same time, in this phase, project encounters the highest level of uncertainty in comparison of all phases of project lifecycle. This paper aims to support early decisions of project based on the progress forecasting. The scope of study is limited to downstream projects of petroleum industry in Iran, and the proposed model is trained and tested based on 75 Iranian completed petroleum projects. First, types of progress curve functions are investigated, and various types are studied and the most appropriate ones are selected through curve fitting. In the next step, using questionnaire, dependent and independent variables are recognized. Finally, using historical data and s-curve generator functions, a fuzzy inference system (ANFIS) based model have been developed to support early phases decision-making processes. Based on the analysis of received questionnaires, six functional criteria in two groups as dependent variables and 25 independent variables, in two groups and four clusters are determined and categorized. Eventually, performance prediction model of a project has been developed by using Adaptive Nero Fuzzy Inference System. The main contribution of this study to construction management knowledge is categorizing two groups of variables, which first one defines the project dynamic and the other calculates the key effects on previous one. Also, this investigation improves the current knowledge by analyzing the project system from the dynamic behavior perspective and modeling the defined variables using ANFIS tools.
Heidari, A, Imani, D M and Khalilzadeh, M (2021) A hub location model in the sustainable supply chain considering customer segmentation. Journal of Engineering, Design and Technology, 19(6), 1387-420.
Hongsheng, T, Changwen, H and Chenye, G (2021) Development of a rotatable similar simulation experimental system for steep coal seam mining. Journal of Engineering, Design and Technology, 19(6), 1373-86.
Hulio, Z H, Yousufzai, G and Jiang, W (2021) Statistical analysis of wind resource and energy potential assessment of Quaidabad site, Sindh Pakistan. Journal of Engineering, Design and Technology, 19(6), 1291-316.
Mahmud, A T, Ogunlana, S O and Hong, W T (2021) Key driving factors of cost overrun in highway infrastructure projects in Nigeria: a context-based perspective. Journal of Engineering, Design and Technology, 19(6), 1530-55.
Malge, A M and Pawar, P M (2021) Wind tunnel and numerical study of multi-storey vertical axis wind turbines with different configurations. Journal of Engineering, Design and Technology, 19(6), 1358-72.
Mdibi, L, Van Zyl, R, Kosch, M and Ward, J (2021) A land-based HF transmitter for ionospheric propagation studies using SuperDARN radars. Journal of Engineering, Design and Technology, 19(6), 1648-59.
Ostakh, O, Uzyakova, E, Grechishcheva, N and Kusheeva, V (2021) Ecotoxicological assessment of soil-like mixtures made of drill cuttings. Journal of Engineering, Design and Technology, 19(6), 1433-50.
Othman, A A E and Alamoudy, F O (2021) Optimising building performance through integrating risk management and building information modelling during the design process. Journal of Engineering, Design and Technology, 19(6), 1233-67.
Pandian, A N and Palanivelu, A (2021) Metaheuristic optimization based placement of SVCs with multiple objectives. Journal of Engineering, Design and Technology, 19(6), 1586-600.
Perera, B A K S, Sirimewan, D C and Senadeera, A D (2021) Management of variations in the public-sector building construction projects in Sri Lanka. Journal of Engineering, Design and Technology, 19(6), 1601-19.
Roy, S, Majumder, S, Bhattacharya, S and Sardar, I H (2021) Simulation and analysis of the effects of room surface reflectance combinations on a proposed retrofit illumination system of an office. Journal of Engineering, Design and Technology, 19(6), 1620-47.
Sibanda, V, Mpofu, K and Trimble, J (2021) Methodology for the design of a reconfigurable guillotine shear and bending press machine (RGS&BPM). Journal of Engineering, Design and Technology, 19(6), 1317-43.
Somani, N, Singh, N and Gupta, N K (2021) Joining and characterization of SS-430 using microwave hybrid heating technique. Journal of Engineering, Design and Technology, 19(6), 1344-57.
van Tonder, P and Low, M S (2021) The effect of CO loading on the properties of normal concrete vs fly ash concrete. Journal of Engineering, Design and Technology, 19(6), 1472-87.
Yembi Renault, B, Agumba, J N and Ansary, N (2021) Regression analysis of the influence of demographic characteristics using risk management practices within South African small and medium construction enterprises. Journal of Engineering, Design and Technology, 19(6), 1505-29.