Resource scheduling and planning for tunneling with a new resource model of the Decision Aids for Tunneling (DAT)

Abstract Resource scheduling and planning are the strategies required to determine the sequence of activities and resource allocation during tunnel construction. Resource scheduling and planning have been implemented in a new resource model of the Decision Aids for Tunneling (DAT), which are a computer based tool used to simulate tunnel construction. Tunneling plans obtained with the new resource model of the DAT take into account the technical precedence of activities, the resource/space availability, the dynamic status of the process, and the work continuity. In particular, the new resource model of the DAT can provide the optimal tunneling plan, which produces the shortest construction time and the smallest construction cost, and satisfies the special characteristics of tunnel construction such as excavation methods, distance requirements between the headings, and preempting activities (e.g., blasting). The paper attempts to contribute to both theory and practice: Optimization of the construction process considering time, cost and resources is particularly complicated in tunneling where activities and resource availability have to be appropriately sequenced and interference has to be avoided. The paper addresses this fundamental problem with the development of different schematic tunneling plans that consider the relevant activities and optimizes them with regard to overall cost and time, also considering uncertainties. Equally important is to make the theoretical development practically useable. This is done through implementation of the resource optimization in the DAT and, very importantly, by demonstrating the practical use with an application to a real tunnel case.

[1]  Khaled A El-Rayes,et al.  Multiobjective optimization of resource leveling and allocation during construction scheduling , 2011 .

[2]  Vijaya Bhatta Halabe,et al.  Resource modeling for DAT , 1995 .

[3]  John W. Fondahl The Development of the Construction Engineer: Past Progress and Future Problems , 1991 .

[4]  Photios G. Ioannou,et al.  COOPS: Construction object-oriented process simulation system. , 1992 .

[5]  F. Brian Talbot Optimal methods for scheduling projects under resource constraints , 1979 .

[6]  Amr A. Oloufa,et al.  Library-Based Simulation Modeling in Construction , 1997 .

[7]  H. H. Einstein The Decision Acids for Tunnelling (DAT) - a Brief Review , 2001 .

[8]  Paul E. Harris Project Planning and Control Using Oracle Primavera P6 Version 8.2 EPPM Web , 2012 .

[9]  Iris D. Tommelein,et al.  Cipros: knowledge-based construction integrated project and process planning simulation system , 1992 .

[10]  Konstantinos P. Anagnostopoulos,et al.  Construction Resource Allocation and Leveling Using a Threshold Accepting–Based Hyperheuristic Algorithm , 2012 .

[11]  Mehdi Tavakolan,et al.  Stochastic Time-Cost-Resource Utilization Optimization Using Nondominated Sorting Genetic Algorithm and Discrete Fuzzy Sets , 2009 .

[12]  Boyd C. Paulson Interactive Graphics for Simulating Construction Operations , 1978 .

[13]  Seungkil Lim,et al.  A scheduling procedure for a general class of resource-constrained projects , 1997 .

[14]  N D Lea Construction management. , 1968, Canadian hospital.

[15]  Georgios Ellinas,et al.  Minimum Moment Method for Resource Leveling Using Entropy Maximization , 2010 .

[16]  성창섭,et al.  A Scheduling Procedure for a General Class of Resource-Constrained Projects , 1994 .

[17]  Simaan M. AbouRizk,et al.  Unified Modeling Methodology for Construction Simulation , 2002 .

[18]  Julio C. Martinez,et al.  Stroboscope: State and resource based simulation of construction processes. , 1996 .

[19]  Simaan M. AbouRizk,et al.  Resource-based modeling for construction simulation , 1997 .

[20]  Lucy C. Morse,et al.  A study of combining heuristics for scheduling projects with limited multiple resources , 1988 .

[21]  Sangyoon Min Development of the resource model for the Decision Aids for Tunneling (DAT) , 2008 .

[22]  Tarek Hegazy,et al.  Optimization of Resource Allocation and Leveling Using Genetic Algorithms , 1999 .

[23]  Daniel W. Halpin,et al.  Design of construction and process operations , 1976 .

[24]  Erik Demeulemeester,et al.  New Benchmark Results for the Resource-Constrained Project Scheduling Problem , 1997 .

[25]  Önder Halis Bettemir,et al.  Hybrid Genetic Algorithm with Simulated Annealing for Resource-Constrained Project Scheduling , 2015 .

[26]  Herbert H. Einstein,et al.  Design and construction of a road tunnel in Korea including application of the Decision Aids for Tunneling - A case study , 2008 .

[27]  Simaan M. AbouRizk,et al.  Zero-One Programming Approach to Determine Optimum Resource Supply under Time-Dependent Resource Constraints , 2016, J. Comput. Civ. Eng..

[28]  Leonhard E. Bernold,et al.  Resource-Oriented Modeling and Simulation in Construction , 1993 .