Evaluation of Wheel Loader Selection Using an Integrated Approach with AHP and TOPSIS

Document Type : Original Article


Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.


Considering the growth of industrialization for construction works, the role of on-site equipment and machinery in enhancing productivity and efficiency as well as improving working standards of construction. Hence, selecting the proper construction equipment is a challenging task owing to a wide range of available types as well as a host of criteria to be considered during decision making. However, the selection may result in incorrect decision-making or neglection of factors that are as important as cost or technical features. For this reason, nowadays the decision makers use multi-criteria decision making (MCDM) methods to make the most suitable or beneficial decision on machine and equipment selection. One of the most widely used construction equipment is wheel loader. This machine is widely used in all fields of construction. Therefore, proper selection based on the real needs of the project seems necessary. Hence, in this study, the selection of a suitable wheel loader was studied using MCDM methods. In this regard, an integrated approach using AHP and TOPSIS method for evaluating wheel loader selection were used. In this regard, the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), are used in the evaluation procedure. More precisely, AHP is applied to determine the relative weights of evaluation criteria and TOPSIS is applied to rank the wheel loader alternatives. The proposed approach also provides a relatively simple and very well suited decision making tool for this type of decision making problems.


[1]- Li, J., Li, H., Umer, W., Wang, H., Xing, X., Zhao, S. and Hou, J., 2020, Identification and classification of construction equipment operators' mental fatigue using wearable eye-tracking technology, Automation in Construction, 109, 103000.
[2]- Jahr, K. and Borrmann, A., 2018, Semi-automated site equipment selection and configuration through formal knowledge representation and inference, Advanced Engineering Informatics, 38, 488-500.
[3]- Sandanayake, M., Zhang, G. and Setunge, S., 2019, Estimation of environmental emissions and impacts of building construction – A decision making tool for contractors, Journal of Building Engineering, 21, 173-185.
[4]- Islam, M. S., Nepal, M. P., Skitmore, M. and Attarzadeh, M., 2017, Current research trends and application areas of fuzzy and hybrid methods to the risk assessment of construction projects, Advanced Engineering Informatics, 33, 112-131.
[5]- Waris, M., Shahir Liew, M., Khamidi, M. F. and Idrus, A., 2014, Criteria for the selection of sustainable onsite construction equipment, International Journal of Sustainable Built Environment, 3(1), 96-110.
[6]- Naskoudakis, I. and Petroutsatou, K., 2016, A Thematic Review of Main Researches on Construction Equipment Over the Recent Years, Procedia Engineering, 164, 206-213.
[7]- Chen, X., Chen, F., Zhou, J., Li, L. and Zhang, Y., 2015, Cushioning structure optimization of excavator arm cylinder, Automation in Construction, 53, 120-130.
[8]- Ebrahimian, A., Ardeshir, A., Zahedi Rad, I. and Ghodsypour, S. H., 2015, Urban stormwater construction method selection using a hybrid multi-criteria approach, Automation in Construction, 58, 118-128.
[9]- Casanovas-Rubio, M. d. M. and Ramos, G., 2017, Decision-making tool for the assessment and selection of construction processes based on environmental criteria: Application to precast and cast-in-situ alternatives, Resources, Conservation and Recycling, 126, 107-117.
[10]- Štirbanović, Z., Stanujkić, D., Miljanović, I. and Milanović, D., 2019, Application of MCDM methods for flotation machine selection, Minerals Engineering, 137, 140-146.
[11]- Ebrahiminejad, M., Shakeri, E., Ardeshir, A. and Fazel Zarandi, M. H., 2018, An object-oriented model for construction method selection in buildings using fuzzy information, Energy and Buildings, 178, 228-241.
[12]- Bertola, N. J., Cinelli, M., Casset, S., Corrente, S. and Smith, I. F. C., 2019, A multi-criteria decision framework to support measurement-system design for bridge load testing, Advanced Engineering Informatics, 39, 186-202.
[13]- Shahtaheri, Y., Flint, M. M. and de la Garza, J. M., 2019, A multi-objective reliability-based decision support system for incorporating decision maker utilities in the design of infrastructure, Advanced Engineering Informatics, 42, 100939.
[14]- Figueira, J. R., Greco, S., Roy, B. and Słowiński, R., 2013, An Overview of ELECTRE Methods and their Recent Extensions, Journal of Multi-Criteria Decision Analysis, 20(1-2), 61-85.
[15]- Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K. and Antucheviciene, J., 2018, A new hybrid fuzzy MCDM approach for evaluation of construction equipment with sustainability considerations, Archives of Civil and Mechanical Engineering, 18(1), 32-49.
[16]- Bascetin, A. and Kesimal, A., 1999, A new approach in selection of loading-hauling systems in surface mining; Acik isletmelerde yukleme-tasima sistemi seciminde yeni bir yaklasim,
[17]- Briskorn, D. and Dienstknecht, M., 2019, Mixed-integer programming models for tower crane selection and positioning with respect to mutual interference, European Journal of Operational Research, 273(1), 160-174.
[18]- Samanta, B., Sarkar, B. and Mukherjee, S., 2002, Selection of opencast mining equipment by a multi-criteria decision-making process, Mining Technology, 111(2), 136-142.
[19]- Elevli, B. and Demirci, A., 2004, Multicriteria choice of ore transport system for an underground mine: application of PTOMETHEE methods, Journal of the Southern African Institute of Mining and Metallurgy, 104(5), 251-256.
[20]- Gorcun, O. F., Senthil, S. and Küçükönder, H., 2021, Evaluation of tanker vehicle selection using a novel hybrid fuzzy MCDM technique, Decision Making: Applications in Management and Engineering, 4(2), 140-162.
[21]- Moradikhou, A. B. and Ravanshadnia, M., 2021, Evaluation of CO2 Emissions Reduction Strategies in the Iranian Cement Industry, Journal of Civil Engineering and Materials Application, 5(3), 108-120.
[22]- Govindan, K., Kaliyan, M., Kannan, D. and Haq, A. N., 2014, Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process, International Journal of Production Economics, 147, 555-568.
[23]- Saaty, T. L., 1990, The Analytic Hierarchy Process, European Journal of Operational Research, 48, 9-26.