Simulation Model for Scenario Optimization of the Ready-Mix Concrete Delivery Problem

Mario Galić 1  and Ivan Kraus 1
  • 1 Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering, Osijek, Croatia

Abstract

This paper introduces a discrete simulation model for solving routing and network material flow problems in construction projects. Before the description of the model a detailed literature review is provided. The model is verified using a case study of solving the ready-mix concrete network flow and routing problem in metropolitan area in Croatia. Within this study real-time input parameters were taken into account. Simulation model is structured in Enterprise Dynamics simulation software and Microsoft Excel linked with Google Maps. The model is dynamic, easily managed and adjustable, but also provides good estimation for minimization of costs and realization time in solving discrete routing and material network flow problems.

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  • [1] AbouRizk, S. (2010). Role of simulation in construction engineering and management. Journal of Construction Engineering and Management. 136 (10), 1140-53. http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0000220.

  • [2] Mariz, R. N., Picchi, F. A., Granja, A. D. & de Melo, R. S. S. (2013). Production Cells in Construction: Considering Time, Space and Information Linkages to Seek Broader Implementations. Journal of Engineering, Project, and Production Management. 3 (1), 46-55.

  • [3] Tang, Y., Liu, R. & Sun, Q. (2014). Schedule control model for linear projects based on linear scheduling method and constraint programming. Automation in Construction. 37 22-37. http://dx.doi.org/10.1016/j.autcon.2013.09.008.

  • [4] Márquez, A. C. (2010). Dynamic modelling for supply chain management: dealing with frontend, back-end and integration issues. London: Springer Science & Business Media.

  • [5] Galić, M., Dolaček-Alduk, Z. & Završki, I. (2013). The importance of additional criteria in solving transportation problem. In Creative Construction Conference 2013, (219 - 29). Budapest: Diamond Congress, Ltd.

  • [6] Galić, M. & Kraus, I. (2016). Web-mapping discrete simulation model for solving routing and material network flow problems in construction projects. In 8th International Scientific Conference of Civil Engineering and Architecture for PhD Students and Young Scientists below 35 years old, Košice, Slovakia: Technical University of Košice, Faculty of Civil Engineering.

  • [7] Hitchcock, F. L. (1941). The distribution of a product from several sources to numerous localities. J Math phys. 20 (2), 224-30. http://dx.doi.org/10.1002/sapm1941201224.

  • [8] Dantzig, G. B. & Ramser, J. H. (1959). The truck dispatching problem. Management Science. 6 (1), 80-91. http://dx.doi.org/10.1287/mnsc.6.1.80.

  • [9] Baldacci, R., Battarra, M. & Vigo, D. (2008). Routing a heterogeneous fleet of vehicles. In Golden, B., Raghavan, S. & Wasil, E. (Eds.), The vehicle routing problem: latest advances and new challenges (3-27). Springer.

  • [10] Kwan, M.-K. (1962). Graphic programming using odd or even points. Chinese Math. 1 (110), 273-7.

  • [11] Orloff, C. (1974). A fundamental problem in vehicle routing. Networks. 4 (1), 35-64. http://dx.doi.org/10.1002/net.3230040105.

  • [12] Frederickson, G. N., Hecht, M. S. & Kim, C. E. (1976). Approximation algorithms for some routing problems. In 17th Annual Symposium on Foundations of Computer Science, (216-27). Houston: IEEE.

  • [13] Golden, B. L. & Wong, R. T. (1981). Capacitated arc routing problems. Networks. 11 (3), 305-15. http://dx.doi.org./10.1002/net.3230110308.

  • [14] Asbach, L., Dorndorf, U. & Pesch, E. (2009). Analysis, modeling and solution of the concrete delivery problem. European Journal of Operational Research. 193 (3), 820-35. http://dx.doi.org/10.1016/j.ejor.2007.11.011.

  • [15] Schmid, V., Doerner, K. F., Hartl, R. F. & Salazar-González, J.-J. (2010). Hybridization of very large neighborhood search for ready-mixed concrete delivery problems. Computers & Operations Research. 37 (3), 559-74. http://dx.doi.org/10.1016/j.cor.2008.07.010.

  • [16] Maghrebi, M., Waller, T. S. & Sammut, C. Scheduling concrete delivery problems by a robust meta heuristic method. In Modelling Symposium (EMS), 2013 European, (375-80). IEEE.

  • [17] Maghrebi, M., Travis Waller, S. & Sammut, C. (2014). Sequential Meta-Heuristic Approach for Solving Large-Scale Ready-Mixed Concrete-Dispatching Problems. Journal of Computing in Civil Engineering. 30 (1), http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000453.

  • [18] Maghrebi, M., Travis Waller, S. & Sammut, C. (2014). Assessing the accuracy of expert-based decisions in dispatching ready mixed concrete. Journal of Construction Engineering and Management. 140 (6), 06014004. http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0000853.

  • [19] Galić, M., Završki, I. & Dolaček-Alduk, Z. (2016). Scenario simulation model for optimized allocation of construction machinery. Građevinar. 68 (02), 105-12. http://dx.doi.org/10.14256/JCE.1462.2015.

  • [20] Galić, M., Thronicke, R., Schreck, B. M., Feine, I. & Bargstädt, H.-J. (2015). Process modeling and scenario simulation in construction using Enterprise Dynamics simulation software. e-GFOS. 10 (1), 22-9. http://dx.doi.org/10.13167/2015.10.3.

  • [21] Weber, J. (2008). Simulation von Logistikprozessen auf Baustellen auf Basis von 3D-CAD Daten. Dotrmund, Germany.

  • [22] INCONTROL Simulation Solutions (2014). Enterprise Dynamics [computer software]. The Netherlands: INCONTROL Simulation Solutions.

  • [23] Google Inc. Google Maps. https://www.google.hr/maps/@45.5720848,18.604127,12z/data=!3m1!4b1!4m2!6m1!1szI3BNYVBM EqA.kmtD-GzDJCMs?hl=hr. (2.2.2016.)

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