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Evaluation of the technological structure of the work programme of construction companies

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The commercial performance of a construction company (CC) largely depends on the planned work programme. The annual CC work programme is a set of objects of a specific purpose and structure (a building system). The programme has the following characteristics: first, the number of objects; second, the construction technologies provided for in the projects (fully prefabricated, monolithic, brick, etc.); third, the variation of work scopes among objects; and fourth, the construction technology. These CC work programme features are interrelated, i.e., aligned with each other, forming the technological structure (TS) of the CC work programme. Once these attributes were formalised, four partial indicators were obtained: the first assesses the variation in construction objects’ sizes; the second — their number; the third — the number of applied technologies; and the fourth — the technologies. The importance of these indicators was assessed to combine them into an indicator of the technological structure of the annual CC work programme. Its quantitative assessment has scientific and practical importance, providing an opportunity to analyse its impact on the results of commercial activities, to improve the organisational management structure of the company, etc.
Rocznik
Strony
104--113
Opis fizyczny
Bibliogr. 45 poz., tab., wykr.
Twórcy
  • Faculty of Public Governance and Business Mykolas Romeris University Ateities Street 20 08303 Vilnius, Lithuania
Bibliografia
  • Abad, F., Eshtehardian, E., & Taghizadeh, K. (2019). Framework for Proactive Change Management: Assessing the Risk of Change in Construction Projects Using Fuzzy Fault Tree Analysis. Journal of Architectural Engineering, 25(2), 0419010.
  • Ajayi, S. O., Oyedele, L. O., & Ilori, O. M. (2019). Changing significance of embodied energy: A comparative study of material specifications and building energy sources. Journal of Building Engineering, 23, 324- 333. doi: 10.1016/j.jobe.2019.02.008
  • Al-Ashmori, Y. Y., Othman, I., Rahmawati, Y., Amran, Y. H. M., Sabah, S. H. A., Rafindadi, A. D., Mikić, M. (2020). BIM benefits and its influence on the BIM implementation in Malaysia. Ain Shams Engineering Journal, 11(4), 1013-1019. doi: 10.1016/j.asej.2020.02.002
  • Anderson, S. (1992). Project quality and project managers. International Journal of Project Management, 10(3), 138-144. doi: 10.1016/0263-7863(92)90002-Q
  • Barvidas, A. (2010). Construction management mode selection to ensure more efficiency and quality. Doctoral dissertation [Selection of the construction management method in order to ensure the efficiency and quality of works, doctoral dissertation]. Vilnius: Technika.
  • Belout, A., & Gauvreau, C. (2004). Factors influencing project success: the impact of human resource management. International Journal of Project Management, 22(1), 1-11. doi: 10.1016/S0263-7863(03)00003-6
  • Cataldo, I., Banaitis, A., Samadhiya, A., Banaitiene, N., Kumar, A., & Luther, S. (2022). Sustainable supply chain management in construction: an exploratory review for future research. Journal of Civil Engineering and Management, 28(7), 536-553. doi: 10.3846/jcem.2022.17202
  • Chao, L-Ch., & Skibniewski, M. J. (1998). Fuzzy Logic for Evaluating Alternative Construction Technology. Journal of Construction Engineering and Management, 124(4), 297-304.
  • Cherniak, O., Trish, R., Kim, N., & Ratajczak, S. (2020). Quantitative assessment of working conditions in the workplace. Engineering Management in Production and Services, 12(2), 99-106. doi: 10.2478/emj-2020-0014
  • Choi, J., & Choi, J. (2022). Technical feasibility study model of aged apartment renovation applying analytical hierarchy process. Journal of Civil Engineering and Management, 28(1), 39-50. doi: 10.3846/jcem.2021.16013
  • Ginevičius, R. (1995). Количественная оценка технологии строительного производствою [The quantitative evaluation of building technology]. Vilnius: Technika.
  • Grybaite, V. (2023). Evaluation of factors having an impact on the development of the sharing economy: doctoral dissertation. Vilnius: Technika.
  • Hwang, C. L., & Yoon, K. (1981). Multiple Attribute Decision Making. Methods and Application a Stateof-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, 186. Berlin, Heidelberg: Springer.
  • Išoraitė, M., Jarašūnienė, A., & Vaičiūtė, K. (2022). The impact of technological development on transport enterprises’ marketing strategy (Lithuanian example). Business: Theory and Practice, 23(2), 365-376. doi: 10.3846/btp.2022.16564
  • Kamali, M., & Hewage, K. (2017). Development of performance criteria for sustainability evaluation of modular versus conventional construction methods. Journal of Cleaner Production, 142(4), 3592-3606. doi: 10.1016/j.jclepro.2016.10.108
  • Kendall, M. G. (1975). Rank Correlation Methods, 4th edition. London: Charles Griffin.
  • Kermanshachi, S., Rouhanizadeh, B., & Dao, B. (2020). Application of Delphi Method in Identifying, Ranking, and Weighting Project Complexity Indicators for Construction Projects. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 12(1), 04519033.
  • Kim, Y., Cha, H., Kim, K., & Shin, D. (2011). Evaluation Method of Green Construction Technologies Using Integrated LCC and LCA Analysis. Korean Journal of Construction Engineering and Management, 12, 91-100.
  • Koo, B., Jung, R., & Yu, Y. (2021). Automatic classification of wall and door BIM element subtypes using 3D geometric deep neural networks. Advanced Engineering Informatics, 47(1), 101200. doi: 10.1016/j.aei.2020.101200
  • Koo, B., La, S., Cho, N. W., & Yu, Y. (2019). Using support vector machines to classify building elements for checking the semantic integrity of building information models. Automation in Construction, 98, 183-194. doi: 10.1016/j.autcon.2018.11.015
  • Lawson, R. M., Ogden, R. G., & Bergin, R. (2012). Application of Modular Construction in High-Rise Buildings. Journal of Architectural Engineering, 18(2), 148-154.
  • Liao, H., & Plebankiewicz, E. (2021). Applications of fuzzy technology in civil engineering and construction management: the special issue in the 100th anniversary of Lotfi Zadeh. Journal of Civil Engineering and Management, 27(6), 355-357.
  • Love, P. E., & Irani, Z. (2004). An exploratory study of information technology evaluation and benefits management practices of SMEs in the construction industry. Information & Management, 42(1), 227-242. doi: 10.1016/j.im.2003.12.011
  • Love, P. E., Matthews, J., & Fang, W. (2020). Rework in Construction: A Focus on Error and Violation. Journal of Construction Engineering and Management, 146(9), 06020001.
  • Naji, K. K., Gunduz, M., & Naser, A. F. (2022). Construction change order management project support system utilizing Delphi method. Journal of Civil Engineering and Management, 28(7), 564-589. doi: 10.3846/jcem.2022.17203
  • Nanyam, V. N., Basu, R., Sawhney, A., & Prasad, U. K. (2015). Selection Framework for Evaluating Housing Technologies. Procedia Engineering, 123, 333- 341. doi: 10.1016/j.proeng.2015.10.044
  • Pezeshki, Z., & Ivari, S. A. S. (2018). Applications of BIM: A Brief Review and Future Outline. Archives of Computational Methods in Engineering, 25(2), 273- 312. doi: 10.1007/s11831-016-9204-1
  • Podvezko, V. (2008). Comprehensive evaluation of complex quantities. Business: Theory and Practice, 9(3), 160-168.
  • Shahbazi, S., Salloum, M., Kurdve, M., & Wiktorsson, M. (2017). Material Efficiency Measurement: Empirical Investigation of Manufacturing Industry. Procedia Manufacturing, 8, 112-120. doi: 10.1016/j.promfg.2017.02.014
  • Shevchenko, G., Ustinovichius, L., & Walasek, D. (2019). The Evaluation of the Contractor’s Risk in Implementing the Investment Projects in Construction by Using the Verbal Analysis Methods. Sustainability, 11(9), 2660. doi: 10.3390/su11092660
  • Sivilevičius, H., Zavadskas, E. K., & Turskis, Z. (2008). Quality attributes and complex assessment methodology of asphalt mixing plant. The Baltic Journal of Road and Bridge Engineering, 3(3), 161-166. doi: 10.3846/1822-427X.2008.3.161–166
  • Skibniewski, M. J., & Chao, L‐Ch. (1992). Evaluation of Advanced Construction Technology with AHP Method. Journal of Construction Engineering and Management, 118(3), 577-593.
  • Suhi, S. A., Enayet, R., Haque, T., Ali, S. M., Moktadir, A., & Paul, S. K. (2019). Environmental sustainability assessment in supply chain: An emerging economy context. Environmental Impact Assessment Review, 79, 106306. doi: 10.1016/j.eiar.2019.106306
  • Sun, H., & Kim, I. (2022). Applying AI technology to recognize BIM objects and visible properties for achieving automated code compliance checking. Journal of Civil Engineering and Management, 28(6), 497-508. doi: 10.3846/jcem.2022.16994
  • Thies, C., Kieckhäfer, K., Spengler, T. S., & Sodhi, M. S.
  • (2019). Operations research for sustainability assessment of products: A review. European Journal of Operational Research, 274(1), 1-21. doi: 10.1016/j.ejor.2018.04.039
  • Tiwari, R., Shepherd, H., & Pandey, R. K. (2014). Supply chain management in construction: a literature survey. International Journal Management Research and Business Strategy, 7-28.
  • Trish, R., Cherniak, O., Kupriyanov, O., Luniachek, V., & Tsykhanovska, I. (2021). Methodology for multi-criteria assessment of working conditions as an object of quality. Engineering Management in Production and Services, 13(2), 107-114. doi: 10.2478/emj-2021-0016
  • Turskis, Z., Daniūnas, A., Zavadskas, E. K., & Medzvieckas, J. (2016). Multicriteria Evaluation of Building Foundation Alternatives. Computer-Aided Civil and Infrastructure Engineering, 31(9), 717-729. doi: 10.1111/mice.12202
  • Vysochan, O., Vysochan, O., Hyk, V., & Boychuk, A. (2022). Multi-criteria evaluation of innovative projects by means of ELECTRE application. Business: Theory and Practice, 23(2), 445-455. doi: 10.3846/btp.2022.15001
  • Xie, P., Zhang, R., Zheng, J., & Li, Z. (2022). Automatic safety evaluation and visualization of subway station excavation based on BIM-FEM/FDM integrated technology. Journal of Civil Engineering and Management, 28(4), 320-336. doi: 10.3846/jce
  • Yücel, M. G., & Goerener, A. (2016). Decision making for company acquisition by ELECTRE method. International Journal of Supply Chain Management, 5(1), 75-83.
  • Zavadskas, E. K., Antucheviciene, J., Šaparauskas, J., & Turskis, Z. (2013). Multi-criteria Assessment of Facades’ Alternatives: Peculiarities of Ranking Methodology. Procedia Engineering, 57, 107-112. doi: 10.1016/j.proeng.2013.04.016
  • Zavadskas, E. K., Sušinskas, S., Daniūnas, A., Turskis, Z., & Sivilevičius, H. (2012). Multiple criteria selection of pile-column construction technology. Journal of Civil Engineering and Management, 18(6), 834- 842. doi: 10.3846/13923730.2012.744537
  • Zhang, F., Ju, Y., Gonzalez, E. D. S., Wang, A., Dong, P., & Giannakis, M. (2021). Evaluation of construction and demolition waste utilization schemes under uncertain environment: A fuzzy heterogeneous multi-criteria decision-making approach. Journal of Cleaner Production, 313, 127907. doi: 10.1016/j.jclepro.2021.127907
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-51fa534f-1a4d-422b-b2f4-5ac5a872d5d8
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