Optimization of Resource Demands in Construction of a Residential Building.pptx

residential building

1. Optimization of Resource Demands in Construction of a Residential Building Pandia Raja R. ME – Construction Management Department of Civil Engineering Adhiparasakthi College of Engineering Melmaruvathur .

2. Introduction Now a days many construction projects are coming out due to high demand of infrastructure developments. Construction project requires various resources and needs time for its completion. The time and cost are directly dependent on the availability of resources such as manpower, material and Machinery. Resource planning is therefore forecasting the resources required to perform the scope of work within the time plan. The best combination or interdependencies of the various resources for performing a construction activity is based on the contractor’s ability.

3. Objectives To schedule a project using Microsoft Project (MSP) software for various activities in the construction of a residential building. To calculate the requirements of resources for the activities based on Standard Schedule Rates. To carryout optimization by modifying the resource requirement for various tasks to remove any sudden variations in demand of resources.

4. Methodology

5. Project Summary Name of the project : Construction of Residential Building, Chennai. Built up area : 4,07,560 Sq ft Number of Storey’s : 1 Basement+1 Stilt+Ground+12floors

6. Preparation of Estimates Generally, for resource constrained analysis the man power requirements for various activities are very essential and these are to be calculated based on the quantities. These quantities required for man power study are calculated from the drawings .

7. Manpower Required

8. Manpower Required Manpower required for various works as per CPWD analysis of rates

9. Forecasting of Resources The estimation of required resources for the completion of the project is carried out based on following equation: Total Quantity Required resource (manpower) = ----------------------------- Productivity X Duration The Total Quantity is obtained from BOQ and productivity is obtained from productivity constants. In this case duration is the assumed duration derived from site expertise and also it has been cross checked.

10. Forecasting of Resources Example : Activity : Block Masonry work Quantity : 483 M2 Productivity : 10 M2/day/team Assumed duration : 12 days Therefore, required resource (Mason) = 483 / 10 x 12 = 4.02 ≈ 4 Required are 4 in the ratio of 1:1 i.e. 4 Masons and 4 Mason helpers.

11. Resource Allocation

12. Un-Optimized visual graphs for Mason.

13. Visual Graph showing Mason Optimization

14. Manpower Optimization Chart

15. Optimized cash flow graph

16. Cost of Manpower after optimization

17. CONCLUSIONS Baseline plan and schedule has been prepared using MSP software, and with respect to baseline plan different kind of resources has been assigned, then visual aids in the form of bar graphs (histogram) has been generated. This indicated the undesired fluctuations in the requirement of manpower resources with respect to time. From these visual aids, manpower resource has been optimized by modifying the particular activities duration and by modifying predecessors without affecting the project duration.

18. CONCLUSIONS Cont …. Finally the following conclusions are obtained: 1. Optimized utilization of manpower resource has been achieved. 2. The over-allocated and under-allocated resources for different tasks have been eliminated. 3. Acceptable cash out flow curve has been obtained. 4. The manpower cost has been reduced by 4.4% i.e. Rs.26,900.00/- on optimization of manpower resource. 5. Optimization has been done without affecting total project duration.

19. References Central Public Work Department (CPWD), “ Analysis of Rates” Director General (Works) CPWD, New Delhi. (2012). Nagaraju , S. K., Prof. Chaudhuri, A. R. and Sivakonda Reddy, B. (2012), “Resource Management in Construction Projects – A Case Study.” IRACST– Engineering Science and Technology: An International Journal (ESTIJ), ISSN: 2250-3498, Vol.2. 660-665. Rory Burke (1999), Project Management Planning and Control Techniques (3rd ed.) 1-7 and 162-175. Available: www.kocaeliaben.gov.tr/ISBNW71-98762-X Mikhail Hanna and Ruwanpura , J. Y. (2007), “Simulation Tool for Manpower Forecast Loading and Resource Leveling .” IEEE Winter Simulation Conference, 7099-7103. Dho Heon Jun and Khaled El- Rayes , (2011), “ Multiobjective Optimization of Resource Leveling and Allocation during Construction Scheduling.” Journal of Construction Engineering and Management @ ASCE, 1080-1088. IS7272 (Part I), “ Recommendation for Labour output Constants for Building Work ” (1974). Aftab Hameed Memon , Ismail Abdul Rahman, Ade Asmi Abdul Aziz, Kumarason V. Ravish and Noor Ikmalah Mohammad Hanas , “Identifying Construction Resource Factors Affecting Construction Cost: Case of Johor,” in proceedings of Malaysian Technical Universities Conference on Engineering & Technology, 2011.

20. References Cont.. Ali Alshubbak , Eugenio Pellicer , Joaquín Catalá , “A collaborative approach to project life cycle definition based on the Spanish construction industry,” in Third Conference on Engineering Work in Palestine, November, 2009, 1-19. Fred Moavenzadeh , “The Construction Industry in Developing Countries,” presented at Technology Adaptation Program, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America, spring 1975, 28-33. Jose Luis Ponz-Tienda , Víctor Yepes , Eugenio Pellicer , Joaquin Moreno-Flores. (2013), “The Resource Leveling Problem with multiple resources using an adaptive genetic algorithm.” Automation in Construction, 161–172. Kastor , A. and Sirakoulis , K. (2009), “The effectiveness of Resource Leveling tools for Resource Constraint Project Scheduling Problem.” International Journal of Project Management, 493–500.