Методика оцінки параметрів у механізмі вибору організаційно-технологічних рішень

A. A Ichetovkin

doi:10.15802/stp2021/229848

Authors

A. A. Ichetovkin Zaporizhzhia National University, Ukraine https://orcid.org/0000-0002-5894-5168

DOI:

https://doi.org/10.15802/stp2021/229848

Keywords:

assessment methodology, integral parameters, integrated approach, mechanism for choosing organizational and technological solutions, risk; environmental factors, risk, environmental factors

Abstract

Purpose. The aim of this study is the substantiation of the methodology for assessing the choice parameters of the organizational and technological solutions, the selection mechanism is based on and determining the expediency of a particular decision regarding the priority of certain parameters within the integrated approach taking into account the systemic effect. Methodology. According to the integrated approach, the mechanism for the optimal choice of the organizational and technological solutions should be based on certain parameters. The selection mechanism requires the use of models that take into account the synergistic effect of the following factors: efficiency increase of the activity as a result of integration, merging of individual parts into a single system due to the systemic effect based on the empirical method. The main role within the integrated approach belongs to the assessment of the parameters of organizational and technical solutions, which should be considered as one of the tools of integrated management. Findings. It was determined that the mechanism for selecting the organizational and technological solutions should take into account the use of technical solutions and individual design parameters of construction products in various environmental conditions, assess the risks inherent in the implementation of each organizational and technological solution, which increases its efficiency by taking into account the total risks. Proceeding from this, a methodology for the rapid assessment of the parameters of organizational and technological solutions has been substantiated. The methodology makes it possible to increase the efficiency of the mechanism for their selection by taking into account the total risks and to form a matrix for assessing typical organizational and technological solutions. An informational model of the process of choosing organizational and technological solutions according to the tasks of organizational and technological design is proposed. Originality. A substantiated methodology and information model for assessing the parameters of the choice of organizational and technological solutions is proposed, which is the basis for the development of algorithms for their assessment, based on certain parameters of the choice efficiency, from the standpoint of the influence of environmental factors, integral indicators, the likelihood of reliability of the implementation of the design quality parameters. Practical value. The results of the study help to make the process of developing organizational and technological solutions typical, while ensuring the ability to take into account all integral parameters of the impact, and environmental factors. The matrix for evaluating typical organizational and technological solutions can be used both at the level of a separate construction and design organization, and as the basis of an information system, or a program for automating the process of selecting organizational and technological decisions, which will speed up the process of analysis and adoption of such decisions, and increase the efficiency of the choice mechanism.

References

Hots, V. V. (2014). Intehrovane upravlinnya informatsiynym seredovyshchem developers'kykh proektiv (Extended abstract of PhD dissertation). Kiev. (in Ukrainian)

DBN A.3.1-5-2016 Orhanizatsiya budivel'noho vyrobnytstva. (2016). (in Ukrainian)

Zharov, I. (2018). Assessment of options for organizational and technological solu-tions based on neural net-work models. Bulletin of Belgorod State Technological University Named after. V. G. Shukhov, 3(2), 110-115. DOI: https://doi.org/10.12737/article_5a816be4a063d1.42360453 (in Russian)

Zaiats, Ye. I. (2015). Development of methods of the assessment, substantiation and choice of rational organ-izational and technological decisions of construction of high-rise multifunctional complexes. Bulletin of Prydniprovs’ka State Academy of Civil Engineering and Architecture, 6(207), 37-44. (in Ukrainian)

Isaienko, D. V., Ploskyi, V. O., & Terenchuk, S. A. (2018). Formation of the fuzzy knowledge of the knowledge support system for decisionmaking technical regulation in construction. Management of Development of Complex Systems, 35, 168-174. (in Ukrainian)

Lukmanova, I. G., & Nezhnikova, E. V. (2013). Comprehensive assessment of quality management systems in construction. Fundamental research, 10, 1791-1795. (in Russian)

Omelianenko, M., & Omelianenko, M. (2020). Information model of the standardization object as the basis of determination of normative requirements with application of parametric standardization method. Current Problems of Architecture and Urban Planning, 58, 233-247. DOI: https://doi.org/10.32347/2077-3455.2020.58.233-247 (in Ukrainian)

AEC (CAN) BIM protocol. Implementing Canadian BIM Standards for the Architectural, Engineering and Construction industry based on international collaboration. Version 1. (2012). The AEC (UK) committee, AEC (CAN) CanBIM designers committee. (in English)

Chen, L.,& Luo, H. (2014). A BIM-based construction quality management model and its applications. Auto-mation in Construction, 46, 64-73. DOI: https://doi.org/10.1016/j.autcon.2014.05.009 (in English)

Gajzler, M., & Zima, K. (2017). Evaluation of Planned Construction Projects Using Fuzzy Logic. International Journal of Civil Engineering, 15(4), 641-652. DOI: https://doi.org/10.1007/s40999-017-0177-8 (in English)

Love, P. E. D., & Li, H. (2000). Quantifying the causes and costs of rework in construction. Construction Management and Economics, 18(4), 479-490. DOI: https://doi.org/10.1080/01446190050024897 (in English)

Nasirzadeh, F., Khanzadi, M., Afshar, A., & Howick, S. (2013). Modeling quality management in construction projects. International Journal of Civil Engineering, 11, 14-22. (in English)

National BIM standard-United States. Version 2. (2012). National Institute of building sciences building SMART alliance. (in English)

New Zeland BIM Handbook. A guide to enabling BIM on building projects. (2014). Building and construction productivity partnership. (in English)

PAS 1192-2:2013. Specification for information management for the capital/delivery phase of construction projects using building information modeling. (2013). The British Standards Institution. (in English)

Serpell, A., Ferrada, X., Rubio, L., & Arauzo, S. (2015). Evaluating Risk Management Practices in Construction Organizations. Procedia – Social and Behavioral Sciences, 194, 201-210. DOI: https://doi.org/10.1016/j.sbspro.2015.06.135 (in English)