Successful performance and completion of construction projects highly depend on an adequate time scheduling of the project activities. On implementation of time scheduling, the execution modes of activities are most often required to be set in a manner that enables in achieving the minimum total project cost. This paper presents an approach to cost optimal time scheduling, which integrates a spreadsheet application and data transfer to project management software (PMS). At this point, the optimization problem of project time scheduling is modelled employing Microsoft Excel and solved to optimality using Solver while organization of data is dealt by macros. Thereupon, Microsoft Project software is utilized for further managing and presentation of optimized time scheduling solution. In this way, the data flow between programs is automated and possibilities of error occurrence during scheduling process are reduced to a minimum. Moreover, integration of spreadsheet and PMS for cost optimal time scheduling in construction is performed within well-known program environment that increases the possibilities of its wider use in practice. An application example is shown in this paper to demonstrate the advantages of proposed approach.
Hillier, F. S., & Lieberman, G. J. (2014). Introduction to Operations Research, 10th edn. McGraw-Hill Higher Education, New York, NY.
Kalhor, E., Khanzadi, M., Eshtehardian, E., & Afshar, A. (2011). Stochastic time-cost optimization using non-dominated archiving ant colony approach. Automation in Construction, 20(8), pp. 1193-1203. doi:
Kažović, D., & Valenčić, D. (2013, May). Using Microsoft Project for project management in non-governmental organisations. In: Information & Communication Technology Electronics & Microelectronics (MIPRO), 2013 36th International Convention on 20-24 May 2013, Opatija, Croatia. IEEE, pp. 681-684.
Klanšek, U. (2016). Mixed-Integer nonlinear programming model for nonlinear discrete optimization of project schedules under restricted costs. Journal of Construction Engineering and Management, 142(3), 04015088. doi:
Marmel, E. (2013), Project 2010 Bible. John Wiley & Sons, Indianapolis, IN.
Mokhtari, H., Aghaie, A., Rahimi, J., & Mozdgir, A. (2010). Project time-cost trade-off scheduling: A hybrid optimization approach. International Journal of Advanced Manufacturing Technology, 50, 5-8(2010), pp. 811-822. doi:
Petlíková, K., & Jarský, Č. (2017). Modeling of the time structure of construction processes using neural networks. Organization, Technology and Management in Construction: An International Journal, 9(1), pp. 1559-1564. doi:
Trautmann, N., & Gnägi, M. (2015, December). On an application of Microsoft Excel’s evolutionary solver to the resource-constrained project scheduling problem RCPSP. In: Industrial Engineering and Engineering Management (IEEM), 2015 IEEE International Conference on 6-9 Dec. 2015, Singapore. IEEE, pp. 646-650. doi:
Valenko, T., & Klanšek, U. (2017, September). Cost optimal time scheduling integrating spreadsheet and project management software. In: 13th International Conference Organization, Technology and Management in Construction, 2017. Croatian Association for Construction Management: University of Zagreb, Faculty of Civil Engineering, pp. 42-53.
Vanhoucke, M. (2005). New computational results for the discrete time/cost trade-off problem with time-switch constraints. European Journal of Operational Research, 165(2), pp. 359-374. doi: