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Introduction
Change in organization’s project environment
Evaluation of change in project management
Impact of change on project plan and cost
Impact of change on project time
Impact of change on Integrated project control
Impact of change on project life cycle
Justification
Conclusion
References
Delays disputes between contractor and client contribute to cost and time overruns. Many types of research in the construction industry reduce the problems associated with delays. Here the existing management system doesn't focus on predicting or forecasting the risk and delays. Rather they monitor the planned progress according to achieved progress. To date, there is no accurate method to resolve the problems involved in delays. Effective decisions have to be taken before a construction project started to avoid bad issues in projects. Forecasting of cost and time in a construction project can make the project manager aware of problems due to risks and delays. It can provide a sense of direction that will allow the project manager to predict future trends and change their company objectives to achieve success in the environment with the implementation of an earned value-based management system. Looking at what has happened in the past and can help companies predict what will happen in the future. By forecasting regularly, it forced companies to continually think about their future and where their company is headed. One of the advantages of forecasting cost and time is that it allows companies to predict how much resources will be needed to complete the construction project in time. To receive financing for new work or to fund an existing scope of work forecast will need to be completed. Forecasting helps how much inventory should be on hand at a given time. By choosing the right amount of inventory, the construction firm will be able to save on warehouse and transportation costs. A drop in construction cost is never good for a construction firm. Through forecasting costs, drops could be easily identified and dealt with quickly. Prediction of time and cost in projects may be done with the help of earned value analysis. Traditional forecasting methods include regression and trend analysis, etc (java statistics for management, 2013). As accuracy is very important for forecasting methods, very little accuracy evaluation has been done on real projects. Most of the studies so far have been based on simulated data. (Mathieu Wauters et.al, 2015) For doing earned value analysis, clear project scope is required together with the project budget and project schedule. As per ASQ journal different knowledge areas are studied in this case which includes effective time and cost management.
The earned value-based management system is purely based on a prediction of future costs of the project without affecting the overall budget of the project. Here anticipated risk and delays are reconsidered for an effective management process. So the probable risk will be modeled, analyzed, and prioritized based on similar case studies. The project chosen here is the construction of Airway apron, parking bays, and artificial ground lighting system. The awarded value of the project is 1.63 billion.
Table 1: Objective and Scope
SL NO |
OBJECTIVE |
SCOPE |
1 |
To determine major factors contributing to risk in construction projects |
Airport construction project is considered |
2 |
To evaluate different forecasting methods |
Earned value based formulae are only considered |
Change in organization’s project environment
From the above table its clear that an effective management system was not implemented as the planned progress was not achieved. An earned value-based management system helps the project manager to improve project delivery. The details of the work scheduled and completed are as per the above table. Some of the works were not completed as per the plan due to climatic conditions, availability of labors.
The change was asked by the Managing director of airport authorities as the work was not finished as per the plan. More resources and material were to be utilized for the project deviating from the initial plan.
Main reason was to control the project cost and time as huge deviations was observed between planned progress and achieved progress of the project.
The risk involved in the project included the determination of all the major factors that contributed to the delay and implementing certain measures to control the cost and time in the project.
Forecasting of cost and time help project manager to clearly understand the future of a project from cost and schedule point of view. Here it helps to know about the fund and duration that are required to complete the project based on different perspectives. Prediction of the future performance is done based on the estimated cost of work to be completed as well as by earned value methods.
The deviations in the project plan were very much decreased when an earned value-based system is introduced. As the change method was implemented in the middle of the project the progress work was completed with the scheduled time as per the plan.
The predictive power of the new changed method is considered here. The term used for estimating the cost is EAC known as estimate at completion. Several formulae are depending on the nature of the project in various scenarios
Different scenarios are represented by EA(C1-5). They are described as follows:
Table 2: EVM based formulas for cost forecasting
METHOD |
FORMULAE |
EAC1 |
Actual Cost+Budget At Completion-Earned Value |
EAC2 |
Actual Cost+(Budget At Completion-Earned Value)/Cost Performance Index |
EAC3 |
Actual Cost+(Budget At Completion-Earned Value)/Schedule Performance Index |
EAC4 |
Actual Cost +(Budget At Completion-Earned Value)/(Cost Performance Index *Schedule Performance Index) |
EAC5 |
Actual Cost +(Budget At Completion -Earned Value)/(0.8*Cost Performance Index +0.2*Schedule Performance Index) |
Table 3: Earned value parameters
SL.NO |
MONTH |
PV(Rs) |
EV(Rs) |
AC(Rs) |
SPI |
CPI |
1 |
Dec 14+Jan15 |
22500000 |
12850000 |
14900000 |
0.57 |
0.86 |
2 |
Feb-15 |
128200000 |
61392889 |
84300000 |
0.48 |
0.73 |
3 |
Mar-15 |
265200000 |
15693557 |
205700000 |
0.59 |
0.76 |
4 |
Apr-15 |
440700000 |
28664820 |
332000000 |
0.65 |
0.86 |
5 |
May-15 |
613500000 |
38021904 |
438900000 |
0.62 |
0.87 |
6 |
Jun-15 |
681600000 |
42719319 |
487600000 |
0.63 |
0.88 |
7 |
Jul-15 |
730800000 |
45284423 |
516500000 |
0.62 |
0.88 |
8 |
Aug-15 |
785400000 |
49738718 |
548400000 |
0.63 |
0.91 |
9 |
Sep-15 |
876500000 |
53306397 |
575000000 |
0.61 |
0.92 |
10 |
Oct-15 |
1011600000 |
55149045 |
599000000 |
0.55 |
0.92 |
11 |
Nov-15 |
1157900000 |
57100000 |
608200000 |
0.62 |
0.94 |
12 |
Dec-15 |
1292200000 |
64150000 |
665900000 |
0.62 |
0.96 |
13 |
Jan-16 |
1398600000 |
69100000 |
720200000 |
0.63 |
0.98 |
14 |
Feb-16 |
1478300000 |
82100000 |
837100000 |
0.63 |
0.99 |
15 |
Mar-16 |
1560700000 |
94150000 |
963100000 |
0.64 |
1.01 |
16 |
Apr-16 |
1605300000 |
104250000 |
1068500000 |
0.64 |
1.03 |
17 |
May-16 |
1633000000 |
105410000 |
1087200000 |
0.65 |
1.04 |
Clear project scope is required together with a budget and schedule to implement an earned value-based management system. The budget shall be distributed to overall activities in the project. The budgeted cost over time is the first measure together with planned value (PV) and actual cost (AC). By adding these budgeted costs over time a first measure is obtained, the Planned Value (PV). Earned value is the monetary value of the activities that are finished. The other measure is the actual cost (AC).(Byoang et.al, 2011). This represents the real cost for all work that is executed at a certain point in time.
Parameters include:-
Planned Value (PV) = (BCWS) Budgeted cost of work scheduled
Earned Value (EV) = (BCWP) Budgeted cost of work performed
Actual Cost (AC) = (ACWP) Actual cost of work performed
Costs that are used for analyses were collected from GVH P Ltd and earned value from the amount they quote to CIAL for each month after completion of the required work.
Table 4: Cost forecast
SL.NO |
MONTH |
EAC1(Rs) |
EAC2(Rs) |
EAC3(Rs) |
EAC4(Rs) |
EAC5(Rs) |
1 |
Dec 14+Jan15 |
1635050000 |
1898795349 |
2857268421 |
2459336842 |
2837460976 |
2 |
Feb-15 |
1655907111 |
2237186453 |
3358481481 |
2474452481 |
3304806375 |
3 |
Mar-15 |
1823006443 |
2333734793 |
2946897361 |
2289009994 |
3506325394 |
4 |
Apr-15 |
1936335180 |
2197506023 |
2800207969 |
2454658854 |
3207152652 |
5 |
May-15 |
2033878096 |
2272208156 |
3011445316 |
2677014425 |
3227323245 |
6 |
Jun-15 |
2077880681 |
2294737138 |
3011855049 |
2708944443 |
3238950659 |
7 |
Jul-15 |
2104215577 |
2320722247 |
3077331576 |
2770031787 |
3253940650 |
8 |
Aug-15 |
2131661282 |
2288247563 |
3061513146 |
2835332963 |
3178402130 |
9 |
Sep-15 |
2154693603 |
2292058264 |
3164661644 |
2957488713 |
3147790884 |
10 |
Oct-15 |
2176850955 |
2314055386 |
3467819918 |
3238314325 |
3119528682 |
11 |
Nov-15 |
2184100000 |
2284689362 |
3149974194 |
2997467742 |
3117594904 |
12 |
Dec-15 |
2234750000 |
2300118750 |
3196303226 |
3095087097 |
3102002484 |
13 |
Jan-16 |
2284100000 |
2316016327 |
3202580952 |
3152933333 |
3096947720 |
14 |
Feb-16 |
2388000000 |
2403665657 |
3298846032 |
3274228571 |
3165778679 |
15 |
Mar-16 |
2501950000 |
2486713861 |
3367553125 |
3391597656 |
3226114706 |
16 |
Apr-16 |
2597250000 |
2552723301 |
3457171875 |
3528832031 |
3264979885 |
17 |
May-16 |
2614790000 |
2556036538 |
3437338462 |
3531344000 |
3263254131 |
EAC(t) is used to forecast the time required for completing a project.
It is called an independent estimate at completion (IEAC(t)). The predictive power of the new changed method is considered here. The term used for estimating the cost is EAC known as estimate at completion. Several formulae are depending on the nature of the project in various scenarios.(Fleming et.al,2016).Different scenarios are represented by EA(C1-4). They are described as follows:
Table 5: EVM based formulas for time forecasting
METHOD |
FORMULAE |
EAC1 |
Planned Duration/Schedule Performance Index |
EAC2 |
Planned Duration/Cost Performance Index*Schedule Performance Index |
EAC3 |
Planned Duration +Actual Duration*(1-Schedule Performance Index) |
EAC4 |
(Planned Duration/Schedule Performance Index *Cost Performance Index)+Actual Duration (1-1/Cost Performance Index) |
Table 6: Time forecasting for clearing and grubbing work
sl no |
month |
planned qty |
earned qty |
spi |
cpi |
eac1(d) |
eac2(d) |
eac3(d) |
eac4(d) |
1 |
Jan-15 |
169609 |
212000 |
0.57 |
0.86 |
175.43 |
150.87 |
151.6 |
131.34 |
2 |
Feb-15 |
221609 |
8100 |
0.48 |
0.73 |
208.33 |
152.08 |
162.4 |
107.69 |
3 |
Mar-15 |
241567 |
220100 |
0.59 |
0.76 |
169.49 |
128.81 |
149.2 |
90.91 |
4 |
Apr-15 |
273683 |
221661 |
0.65 |
0.86 |
153.84 |
132.3 |
142 |
112.77 |
5 |
May-15 |
|
221661 |
0.62 |
0.87 |
161.29 |
140.32 |
145.6 |
122.39 |
6 |
Jun-15 |
|
221661 |
0.63 |
0.88 |
158.73 |
139.68 |
144.4 |
123.31 |
7 |
Jul-15 |
|
221661 |
0.62 |
0.88 |
161.29 |
141.93 |
145.6 |
125.57 |
8 |
Aug-15 |
|
221661 |
0.63 |
0.91 |
158.73 |
144.44 |
144.4 |
132.57 |
9 |
Sep-15 |
|
221661 |
0.61 |
0.92 |
163.93 |
150.81 |
146.8 |
140.38 |
10 |
Oct-15 |
|
221661 |
0.55 |
0.92 |
181.81 |
167.27 |
154 |
156.83 |
11 |
Nov-15 |
|
222661 |
0.62 |
0.94 |
161.29 |
151.61 |
145.6 |
143.95 |
12 |
Dec-15 |
|
230353 |
0.62 |
0.96 |
161.29 |
154.83 |
145.6 |
149.83 |
13 |
Jan-16 |
|
230624 |
0.63 |
0.98 |
158.73 |
155.55 |
144.4 |
153.1 |
14 |
Feb-16 |
|
|
0.63 |
0.99 |
158.73 |
157.14 |
144.4 |
155.93 |
15 |
Mar-16 |
|
|
0.64 |
1.01 |
156.25 |
157.81 |
143.2 |
159 |
16 |
Apr-16 |
|
|
0.64 |
1.03 |
156.25 |
160.93 |
143.2 |
164.43 |
17 |
May-16 |
|
|
0.65 |
1.04 |
153.84 |
160 |
142 |
164.61 |
The work was planned to complete within 100 days, but the actual duration of the work is 120 days leaving 43059cumecs of work behind.
Table 7: Time forecasting for general concreting work
sl no |
month |
planned qty |
earned qty |
spi |
cpi |
eac1(d) |
eac2(d) |
eac3(d) |
eac4(d) |
1 |
Jan-15 |
0 |
0 |
0.57 |
0.86 |
491.22 |
422.45 |
452 |
85.76 |
2 |
Feb-15 |
700 |
10 |
0.48 |
0.73 |
583.33 |
425.83 |
488 |
41.3 |
3 |
Mar-15 |
1600 |
149 |
0.59 |
0.76 |
474.57 |
360.67 |
444 |
24.9 |
4 |
Apr-15 |
2600 |
182 |
0.65 |
0.86 |
430.76 |
370.74 |
420 |
67.19 |
5 |
May-15 |
3440 |
269 |
0.62 |
0.87 |
451.61 |
392.9 |
432 |
80.55 |
6 |
Jun-15 |
3940 |
380 |
0.63 |
0.88 |
444.44 |
391.11 |
428 |
85.13 |
7 |
Jul-15 |
4440 |
391 |
0.62 |
0.88 |
451.61 |
397.41 |
432 |
87.39 |
8 |
Aug-15 |
4940 |
419 |
0.63 |
0.91 |
444.44 |
404.44 |
428 |
104.84 |
9 |
Sep-15 |
5940 |
422 |
0.61 |
0.92 |
459.01 |
422.29 |
436 |
116.03 |
10 |
Oct-15 |
6940 |
434 |
0.55 |
0.92 |
509.09 |
468.36 |
460 |
132.49 |
11 |
Nov-15 |
7940 |
438 |
0.62 |
0.94 |
451.61 |
424.51 |
432 |
126.08 |
12 |
Dec-15 |
8940 |
468 |
0.62 |
0.96 |
451.61 |
433.54 |
432 |
138.17 |
13 |
Jan-16 |
|
570 |
0.63 |
0.98 |
444.44 |
435.55 |
428 |
147.39 |
14 |
Feb-16 |
|
995.4 |
0.63 |
0.99 |
444.44 |
440 |
428 |
153.1 |
15 |
Mar-16 |
|
1077.08 |
0.64 |
1.01 |
437.5 |
441.87 |
424 |
161.77 |
16 |
Apr-16 |
|
1434.08 |
0.64 |
1.03 |
437.5 |
450.62 |
424 |
172.58 |
17 |
May-16 |
|
1493.55 |
0.65 |
1.04 |
430.76 |
448 |
420 |
175.38 |
The work was planned to complete within 280 days, but the actual duration of the work is 400 days leaving 7446 cumecs of work behind.
For checking the changed method’s quality we use a term MAPE which is means absolute percentage error. Here we compare the accuracy of different forecasting methods. MAPE =1ni=1n |At -FtAt|
n = no of observation
At = Actual value
Ft = Forecasted value
Table 8: Mean absolute percentage error of different EAC’s for cost
After comparing the five different earned value formulas, the MAPE was less for forecasting the cost as per the initial plan, earned value-based formulas were erroneous. It was easy to identify the less error method with the help of MAPE and the least error method was implemented in the project. With the application of earned based management system, it helped the project manager critically analyze the risk factors associated with as well as effective procurement of the materials saved with the help of the information in saving additional costs and time. Once a work break down structure is finalized, the project schedule is prepared. After preparing a schedule the estimate of quantities should match for cost and schedule integration. This is better done with earned value-based techniques. The progress that is accomplished is rechecked after the earned value analysis is done and the difference is cross-checked for future reference.
Table 9: Mean absolute percentage error of different EAC’s for time
The cost and time forecasting method discussed here shows that the initial planned cost and time data has more accuracy than that of conventional earned value based formulae. The difference in error was around 100% when compared. The application of a new method affects the monitoring and reviewing of part of management. (Homestein et.al,2015).Anticipation and risk management was easier with the implementation of the new methodology.
It was clear from the analysis that there exists a strong relationship between the success factor and earned a value-based system. Applying this technique at any stage of the construction project adds value to the company and project. Review of the project status and comparison of before and after implementation of the change technique provides a clear vision of cost and time management. With the help of the changed technique, the communication level between project team members has improved. It helped a lot in reducing the level of control on project performance and scope creep. Integrating the new management technique in different aspects of the project improved the safety and quality of the project.
After comparing the forecast with four different earned value formulas we determine that the mean absolute percentage error was comparatively less for the items of work. which is denoted as MAPE (act).
It was observed while viewing the plan that the works were completed with much efficiency and accuracy after which the new management technique was applied. With the implementation of new management technique project managers and senior-level managers was able to forecast the risks and delays in the project and it was able to control the additional indirect cost and complete the work in proper time.
Time and cost management in the construction industry is always a tough task. Through the existing management system, it was not able to foresee the anticipated risks and delays in a project. If a proper change management technique is proposed like an earned value management system it helps to forecast the additional cost due to delays and funds that may be procured in earlier stages. This can effectively improve the total quality of the project as anticipated risks and delays are analyzed. Predictions help project and construction managers foresee future delays and risks in a construction project. Large deviations of the planned progress v/s achieved progress of the project may lead to high suspicions as to whether the contractor can manage the project at hand. Construction and high rise projects are delayed due to the issues between contractor and client. The most important risk identified was the complexity of the structural design of the project and not receiving approved drawings in time as well as changes in drawings and specifications even after the completion of work. Other problems include delay due to weather conditions and additional resources spent for site clearance. If a proper analysis is done regarding anticipation of delays and risks, its effect may be noticed and project managers may be prepared for facing the risk of the project.
Heagney, J. (2016). Fundamentals of project management. Amacom. Retrieved from https://books.google.co.in/books. Cameron, E., & Green, M. (2019). Making sense of change management: A complete guide to the models, tools, and techniques of organizational change. Kogan Page Publishers. Hornstein, H. A. (2015). The integration of project management and organizational change management is now a necessity. International Journal of Project Management, 33(2), 291-298. Retrieved from https://www.sciencedirect.com/science/article/abs/pii/S0263786314001331
Kerzner, H. (2017). Project management: a systems approach to planning, scheduling, and controlling. John Wiley & Sons. Mathieu Wauters, Study of stability of earned value management forecasting, Journal of construction engineering and management, American Society of Civil Engineers 2015,141(4).:04014086. TimurNarbarv, Albert De Marco, Cost Estimate At Completion Methods In Construction Projects, IPEDR VOL .15,2011, IACSIT PRESS SINGAPORE
Byungcheolkim, Probabilistic Evaluation of Cost Performance Stability in Earned Value Management, Journal of Management in Engineering, ASCE 2015, 04015025. Byung - Cheol Kim, Combination of Project Cost Forecasts in Earned Value Management, Journal of Construction Engineering and Management, ASCE November 2011, 137(11): 958-966. Franco Caron, A Bayesian Approach to improve estimate at complete in the earned value management system, Journal of Management in Engineering, ASCE, DOI 10.1002/ PMJ, February 2013).
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