Strategy management of construction workspaces by conflict resolution algorithm and visualization model

Purpose The spatial conflicts and congestion of construction resources are challenges that lead to the reduction in efficiency. The purpose of this paper is to enable users to detect and resolve workspace conflicts by implementing four resolution strategies in a five-dimensional (5D) CAD model. In addition to resolving conflicts, the model should be able to optimize time and cost of the projects. In other words, three variables of spatial conflicts, time and cost of project are considered simultaneously in the proposed model to find the optimum solution. Design/methodology/approach In the first step, a 5D simulation model is developed that includes time, cost and geometrical information of a project. Then, time-cost trade-off analysis was carried out to distinguish optimum schedule. The schedule was imported to the 5D CAD model to detect spatial conflicts. Finally, a novel algorithm was implemented to solve identified conflicts while imposing minimum project’s time and cost. Several iterations are performed to resolve all clashes using conflict resolution algorithm and visual simulation model. Findings The proposed methodology in this research was applied to a real case. Results showed that in comparison to the normal and initial schedule with 19 conflicts, the finalized schedule has no conflict, while time and cost of the project are both reduced. Research limitations/implications Implementing the proposed methodology in construction projects requires proper technical basis in this field. In this regard, the executive user should have a proper understanding of the principles, concepts and tools of building information modeling and have project management knowledge. Also, the implementation conditions of the basic model requires the determination of the construction methods, estimated volumes of working items, scheduling and technical specification. The designed methodology also has two limitations regarding to its implementation. The first is the fact that strategies should be applied manually to the schedule. The other one pertains to the number of strategies used in the research. Four strategies have been used in the conflict resolution algorithm directly and the two others (spatial divisibility and activities breakdown strategies) have been used as default strategies in the visual simulation model. Since the unused strategies including the changing of construction method and the activity resources are subjective and depend upon the planner and project manager’s personal opinion, the authors have avoided using them in this research. Practical implications The method proposed in this research contributes the coordination of the working teams at the planning and execution phases of the project. In fact, the best location and work direction for each working team is presented as a schedule, so that the space conflict may not come about and the cost can be minimized. This visual simulation not only deepens the planners’ views about the executive barriers and the spatial conditions of the worksite, it also makes the construction engineers familiar on a daily basis with their executive scope. Therefore, it considerably improves the interactions and communication of the planning and construction teams. Another advantage and application of this methodology is the use of initial and available projects’ documents including the schedule and two-dimensional drawings. The integration of these basic documents in this methodology helps identify the spatial conflicts efficiently. To achieve this, the use of the existing and widely-used construction tools has facilitated the implementation of the methodology. Using this system, planners have applied the strategies in an order of priority and can observe the results of each strategy visually and numerically in terms of time, cost and conflicts. This methodology by providing the effective resolution strategies guides the practitioner to remove conflicts while optimum time and cost are imposed to project. Originality/value Contrary to the previous models that ignore cost, the proposed model is a 5D visual simulation model, which considers the variable of cost as a main factor for conflict identification and resolution. Moreover, a forward-pass approach is introduced to implement resolution strategies that are novel compared to other investigations.

[1]  Hyeon-Seung Kim,et al.  Development of a schedule-workspace interference management system simultaneously considering the overlap level of parallel schedules and workspaces , 2014 .

[2]  Burcu Akinci,et al.  Formalization and Automation of Time-Space Conflict Analysis , 2002 .

[3]  Sy-Jye Guo,et al.  Identification and Resolution of Work Space Conflicts in Building Construction , 2002 .

[4]  Andrew N. Baldwin,et al.  A virtual prototyping system for simulating construction processes , 2007 .

[5]  David R. Riley,et al.  Patterns of Construction-Space Use in Multistory Buildings , 1995 .

[6]  Zaki Mallasi Towards minimizing space-time conflicts between site activities using simple generic algorithm - the best execution strategy , 2009, J. Inf. Technol. Constr..

[7]  Nashwan Dawood,et al.  Construction workspace management: the development and application of a novel nD planning approach and tool , 2012, J. Inf. Technol. Constr..

[8]  Alan Penn,et al.  Understanding the Project Planning Process: Requirements Capture for the Virtual Construction Site , 2001 .

[9]  Rogier Jongeling,et al.  A method for planning of work-flow by combined use of location-based scheduling and 4D CAD , 2007 .

[10]  Nashwan Dawood,et al.  The virtual construction site (VIRCON) tools: An industrial evaluation , 2005, J. Inf. Technol. Constr..

[11]  Mario Vanhoucke,et al.  The discrete time/cost trade-off problem: extensions and heuristic procedures , 2007 .

[12]  V. K. Bansal Use of GIS and Topology in the Identification and Resolution of Space Conflicts , 2011 .

[13]  Nashwan Dawood,et al.  Construction Workspace Planning: Assignment and Analysis Utilizing 4D Visualization Technologies , 2006, Comput. Aided Civ. Infrastructure Eng..

[14]  David K. H. Chua,et al.  Quantification of Spatial Temporal Congestion in Four-Dimensional Computer-Aided Design , 2010 .

[15]  Markus König,et al.  Modeling and simulating spatial requirements of construction activities , 2013, 2013 Winter Simulations Conference (WSC).

[16]  Iris D. Tommelein,et al.  IMPROVEMENT ALGORITHM FOR LIMITED SPACE SCHEDULING , 2001 .

[17]  Martin Fischer,et al.  Automated Generation of Work Spaces Required by Construction Activities , 2002 .

[18]  Zaki Mallasi,et al.  Dynamic quantification and analysis of the construction workspace congestion utilising 4D visualisation , 2006 .

[19]  Graham Winch,et al.  Critical Space Analysis , 2006 .

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

[21]  Nashwan Dawood,et al.  A Framework for Construction Workspace Management: A Serious Game Engine Approach , 2012 .

[22]  Jian-Ping Zhang,et al.  4D Dynamic Management for Construction Planning and Resource Utilization , 2004 .

[23]  I-Chen Wu,et al.  4D WORKSPACE CONFLICT DETECTION AND ANALYSIS SYSTEM , 2010 .

[24]  Chung-Wei Feng,et al.  Using genetic algorithms to solve construction time-cost trade-off problems , 1997 .

[25]  Burcu Akinci,et al.  Representing Work Spaces Generically in Construction Method Models , 2002 .

[26]  Walid Y. Thabet,et al.  A Virtual Construction Environment for preconstruction planning , 2003 .

[27]  Nashwan Dawood,et al.  Development of workspace conflict visualization system using 4D object of work schedule , 2014, Adv. Eng. Informatics.

[28]  Mohan M. Kumaraswamy,et al.  Applying a Genetic Algorithm-Based Multiobjective Approach for Time-Cost Optimization , 2004 .

[29]  David R. Riley,et al.  Space Planning Method for Multistory Building Construction , 1997 .

[30]  Nashwan Dawood,et al.  Construction workspace management within an Industry Foundation Class-Compliant 4D tool , 2015 .

[31]  David Heesom,et al.  Trends of 4D CAD applications for construction planning , 2004 .