Identification and evaluation of processes in a construction enterprise

• Autorzy: Hoła B.

Identyfikatory

DOI

10.1016/j.acme.2014.11.001

• Języki publikacji: EN

Abstrakty

EN

The paper presents the methodology of construction enterprise management based on the process approach. The process approach to management is used to identify all the processes carried out in an enterprise, to determine inter-relationships between them, to consolidate the awareness of employees of their importance and also to measure the efficiency of processes and their continuous improvement. The practical application of the process approach leads to an increase in labour productivity, the quality level and also competitiveness of an enterprise in the construction market. In order to solve the examined task, studies of processes conducted in construction enterprises have been carried out. Based on these studies a universal mathematical model of the process and methodology of its evaluation has been developed. An example of the practical application of the developed methodology is also included.

Słowa kluczowe

EN

process management; evaluation methodology; enterprise

PL

zarządzanie procesem; przedsiębiorstwo; podejście procesowe

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2015
• Tom: Vol. 15, no. 2
• Strony: 419--426
• Opis fizyczny: Bibliogr. 31 poz., rys., tab., wykr.

Twórcy

autor

Hoła B.

• Faculty of Civil Engineering, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

Bibliografia

• [1] R.B. Bittner, R.L. Schmitt, Construction engineering process and knowledge requirements for fostering creative design solutions on infrastructure projects (Conference Paper), Journal of Construction Engineering and Management 137 (10) (2011) 772–776.
• [2] H. Changming, Z. Shaoping, W. Xueyan, A study on the control technique of construction project process, Engineering 5 (3) (2013) 303–308.
• [3] M.-Y. Cheng, H.-S. Peng, C.-M. Huang, C.-H. Chen, KM oriented business process reengineering for construction firms, Automation in Construction 21 (1) (2012) 32–45.
• [4] A. Czarnigowska, A. Sobotka, Time–cost relationship for predicting construction duration, Archives of Civil and Mechanical Engineering 13 (4) (2013) 518–526.
• [5] M. Hammer, Re-engineering and Its Consequences, PWN, Warsaw, 1999 (in Polish).
• [6] S.B. Han, K.L. Sim, M. Ebrahimpour, Relationships among ISO 9001, competitive dimensions and profitability, International Journal of Services and Operations Management 11 (2) (2012) 222–236.
• [7] T. Haponava, S. Al-Jibouri, Influence of process performance during the construction stage on achieving end-project goals, Construction Management and Economics 28 (2010) 853–896.
• [8] T. Haponava, S. Al-Jibouri, Proposed system for measuring project performance using process-based key performance indicators, Journal of Management in Engineering 28 (2) (2012) 140–149 (Review).
• [9] B. Hoła, K. Gawron, A. Polak, M. Sawicki:, Identification of management processes in a construction enterprise, Przegląd Budowlany (7/8) (2012) 59–62 (in Polish).
• [10] B. Hoła, A. Polak, M. Skibniewski, M. Sawicki, K. Gawron, M. Morka:, Report of SPR series: A Knowledge Management System in a Construction Enterprise, Wroclaw University of Technology, Wroclaw, 2013 (in Polish).
• [11] http://www.stat.gov.pl/cps/rde/xbcr/gus/ RS_rocznik_statystyczny_rp_2012.pdf.
• [12] ISO 10006:2005, Quality Management Systems. Guidelines for Quality in Management in Projects (in Polish).
• [13] ISO 9001:2008, Quality Management System. Requirements (in Polish).
• [14] P. Jaskowski, A. Sobotka, Using soft precedence relations for reduction of the construction project duration, Technological and Economic Development of Economy 18 (2) (2012) 262–279.
• [15] A. Kaklauskas, E.K. Zavadskas, P. Kazokaitis, J. Bivainis, B. Galiniene, M. D'amato, J. Naimaviciene, V. Urbanaviciene, A. Vitas, J. Cerkauskas, Crisis management model and recommended system for construction and real estate, Studies in Computational Intelligence 457 (2013) 333–343.
• [16] Y. Kang, W.J. O'Brien, J. Dai, S.P. Mulva, S.P. Thomas, R.E. Chapman, D. Butry, Interaction effects of information technologies and best practices on construction project performance, Journal of Construction Engineering and Management 139 (4) (2013) 361–371.
• [17] O. Kaplinski, Risk management of construction works by means of the utility theory: a case study, Procedia Engineering 57 (2013) 533–539.
• [18] R. Kolman, Qualitology Knowledge of the Various Fields of Quality, Placet, Warsaw, 2009 (in Polish).
• [19] C. Lertpachin, B. Wingwon, T. Noithonglek, The effect of marketing focus, innovation and learning organization on the building of competitive advantages: empirical evidence from ISO 9000 certified companies, Journal of Strategic Marketing 21 (4) (2013) 323–331.
• [20] Y.-C. Lin, Construction network-based interface management system, Automation in Construction 30 (1) (2013) 228–241.
• [21] P. Miller, Systemic Quality Management, Difin, Warsaw, 2011 (in Polish).
• [22] J. Pasławski, Hybrid flexible approach for Six Sigma implementation in constructional SME, Journal of Civil Engineering and Management 19 (5) (2013) 718–727.
• [23] L.S. Pheng, J.A. Teo, Implementing total quality management in construction firms, Journal of management in Engineering 20 (1) (2000) 8–15.
• [24] E. Plebankiewicz, A. Leśniak, Overhead costs and profit calculation by Polish contractors, Technological and Economic Development of Economy 19 (1) (2013) 141–161.
• [25] E. Plebankiewicz, A fuzzy sets based contractor prequalification procedure, Automation in Construction 22 (2012) 433–443.
• [26] M. Połoński, K. Pruszyński, Impact of baseline terms on the course of critical paths and time buffers in the modified Goldratt's method, Archives of Civil Engineering 59 (3) (2013) 313–320.
• [27] J. Soares, S. Anderson, Modeling process management in construction, Journal of Management in Engineering 13 (5) (1997) 45–53.
• [28] Y. Sun, Compare business process between construction and manufacturing on the application of ERP, in: Advanced Materials Research Volume 1st International Conference on Civil Engineering, Architecture and Building Materials, CEABM, 2011.
• [29] W.Y.V. Tam, K.N. Le, H.N. Le, Using Guassian and hyperbolic distributions for quality improvement in construction: case study approach, Journal of Construction Engineering and Management ASCE 134 (7) (2008) 555–561.
• [30] H.P. Tserng, S.Y.L. Yin, M.J. Skibniewski, M.H. Lee, Developing an ARIS-house-based method from existing information systems to project-based enterprise resource planning for the general contractor, Journal of Construction Engineering and Management ASCE 136 (2) (2010) 199–209.
• [31] E.K. Zavadskas, P. Vainiūnas, Z. Turskis, J. Tamošaitienė, Multiple criteria decision support system for assessment of projects managers in construction, International Journal of Information Technology & Decision Making 11 (2) (2012) 501–520.