Reactive Adaptation of Construction Schedules by Applying Simulation-Based Optimization

This paper deals with the adaption of construction schedule due to real-time data. This real-time data needs to be evaluated regarding the effects on the schedule. If significant delays or other problems are identified, the schedule should be adapted. That means that under the existing condition a new schedule needs to be generated. Thereby, different constraints of the target schedule like contracted delivery dates, milestones or resource allocation should be considered. In the presented approach these additional constraints are modeled and integrated into a simulation model which represents the planned target schedule. By applying simulationbased optimization a new efficient schedule is generated considering existing and additional so-called target constraints. If the identified delays are that large, such that an adaption considering all significant constraints is not possible, some constraints, like resource capacity or shifts, can be relaxed. The proposed concept for reactive adaptation of construction schedules by applying simulation-based optimization is verified by a standard construction schedule example.

[1]  Ahmed Senouci,et al.  Use of Genetic Algorithms in Resource Scheduling of Construction Projects , 2004 .

[2]  Sou-Sen Leu,et al.  A genetic-algorithm-based resource-constrained construction scheduling system , 1999 .

[3]  Lingguang Song,et al.  Adaptive real-time tracking and simulation of heavy construction operations for look-ahead scheduling , 2012 .

[4]  Thomas Schiex,et al.  Semiring-Based CSPs and Valued CSPs: Frameworks, Properties, and Comparison , 1999, Constraints.

[5]  Po-Han Chen,et al.  A two-phase GA model for resource-constrained project scheduling , 2009 .

[6]  M. Cheng,et al.  Using a fuzzy clustering chaotic-based differential evolution with serial method to solve resource-constrained project scheduling problems , 2014 .

[7]  Francesca Rossi,et al.  Abstracting soft constraints: Framework, properties, examples , 2002, Artif. Intell..

[8]  Ehsan Eshtehardian,et al.  Multi-mode resource-constrained discrete time–cost-resource optimization in project scheduling using non-dominated sorting genetic algorithm , 2013 .

[9]  Markus König,et al.  Constraint-based simulation of outfitting processes in building engineering , 2007 .

[10]  Markus König,et al.  Integration of Uncertain Real-Time Logistics Data for Reactive Scheduling Using Fuzzy Set Theory , 2013 .

[11]  Rainer Kolisch,et al.  Experimental investigation of heuristics for resource-constrained project scheduling: An update , 2006, Eur. J. Oper. Res..

[12]  Reha Uzsoy,et al.  Executing production schedules in the face of uncertainties: A review and some future directions , 2005, Eur. J. Oper. Res..

[13]  Changyoon Kim,et al.  Resource Management in Civil Construction Using RFID Technologies , 2009 .

[14]  Sou-Sen Leu,et al.  Metaheuristics for project and construction management – A state-of-the-art review , 2011 .

[15]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[16]  Simaan M. AbouRizk,et al.  Design, development and application of soil transition algorithms for tunneling using special purpose simulation , 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

[17]  Simaan M. AbouRizk,et al.  Integrated three-dimensional computer-aided design and discrete-event simulation models , 2003 .

[18]  Chimay J. Anumba,et al.  RFID-facilitated construction materials management (RFID-CMM) - A case study of water-supply project , 2011, Adv. Eng. Informatics.

[19]  Shu-Shun Liu,et al.  Construction rescheduling based on a manufacturing rescheduling framework , 2009 .

[20]  Osama Moselhi,et al.  RFID indoor location identification for construction projects , 2012 .

[21]  David Arditi,et al.  AUTOMATED PROGRESS CONTROL USING LASER SCANNING TECHNOLOGY , 2013 .

[22]  Ernst Rank,et al.  Bridge construction schedule generation with pattern-based construction methods and constraint-based simulation , 2010, Adv. Eng. Informatics.

[23]  Julio C. Martínez,et al.  EarthMover-simulation tool for earthwork planning , 1998, 1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274).