Abstract
In the face of the high variability in the completion of construction projects, the following research is generated. In the literature we can find several proposals to program projects, however, the variability of the activities causes high variability in the completion date of the projects. We hope that the proposed method, by controlling the start of activities, will ensure the completion date of the projects, by fixing the start of every activity with a high level of probabilistic confidence for the planned project duration. The proposed fixed start method (FSM) was tested in two case studies by using discrete event simulation. Project completion duration results were compared with the critical path method (CPM) and the program evaluation and review technique (PERT). Project completion was evaluated in the case studies by the coefficient of variance (COV), mean, and variance. The new method decreased the scheduled duration variability while meeting project completion times.
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Abbreviations
- ATAED e :
-
Accumulative total advance for estimated duration
- ATED e :
-
Accumulated total estimated ending days
- ATSD p :
-
Accumulated total planned start days
- \({\rm{atsd}}_{t,i}^p\) :
-
Accumulated total planned start days per unit (i) in function of time (t)
- \({\rm{atsd}}_{t,i}^e\) :
-
Accumulated total estimated start days per unit (i) in function of time (t)
- bf i :
-
Time Buffer for each activity (j)
- d :
-
Duration of activity
- \(d_j^e\) :
-
Estimated duration for each activity (j)
- \(d_j^p\) :
-
Planned duration for each activity
- (j)edt,i :
-
Indicator of ends per unit (i) and activity (j) in function of time (t)
- F e :
-
Estimated finish of units and activities
- \(f_{i,j}^e\) :
-
Estimated finish of unit (i) and activity (j)
- F p :
-
Planned finish of units and activities
- \(f_{i,j}^p\) :
-
Planned finish of unit (i) and activity (j)
- i :
-
Units
- j :
-
Activities
- L i :
-
Lapse of days between the beginning of units for the same activities
- M :
-
Number of activities
- N :
-
Number of repetitive units
- np j :
-
Number of personal per activity (j), crew elements
- P :
-
Production of a working crew
- Q :
-
Amount of work in units per activity
- R a :
-
Adjusted production rate
- R p :
-
Production rate
- S :
-
Start of units and activities
- S i,j :
-
Start of unit (i) and activity (j)
- SD p j :
-
Adjusted production rate planned per activity
- sd t,i :
-
Adjusted production rate, of unit (i) in function of time (t)
- t :
-
Time
- T 1 :
-
Total time of the first repetitive unit
- T p :
-
Desired total time of the project
- TP e :
-
Estimate total time of the project
- TAED e :
-
Total advance for estimated duration (days)
- TPD t :
-
Total personnel or labor per day
- TSD e :
-
Total estimated starting day
- \(tsd_{i,j}^e\) :
-
Total estimated starting day, per unit (j) in function of time (t)
- TSD p :
-
Total planned starting day
- α & β:
-
Shape parameter (Beta Distribution)
References
AbouRizk SM, Halpin DW, Wilson JR (1994) Fitting beta distibutions based on sample data. Journal of Construction Engineering and Management 120(2):288–305, DOI: 10.1061/(ASCE)0733-9364(1994) 120:2(288)
Ammar MA (2013) LOB and CPM integrated method for scheduling repetitive projects. Journal of Construction Engineering and Management 139(1):44–50, DOI: 10.1061/(ASCE)CO1943-7862.0000569
Arditi D, Albulak MZ (1986) Line-of-balance scheduling in pavement construction. Journal of Construction Engineering and Management 112(3):411–424,DOI: 10.1061/(ASCE)0733-9364(1986)112:3(411)
Arditi D, Tokdemirl OB, Suh K (2002) Challenges in line-of-balance scheduling. Journal of Construction Engineering and Management 128(6):545–556, DOI: 10.1061/(ASCE)0733-9364(2002)128:6(545)
Assafl SA, Al-Hejji S (2006) Causes of delay in large construction projects. International Journal of Project Management 24(4):349–357, DOI: 10.1016/j.ijproman.2005.11.010
Bonett DG (2006) Confidence interval for a coefficient of quartile variation. Computational Statistics & Data Analysis 50(11):2953–2957, DOI: 10.1016/j.csda.2005.05.007
Byrne MD (2013) How many times should a stochastic model be run? An approach based on confidence intervals. In: Proceedings of the 12th international conference on cognitive modeling, Carleton University, Ottawa, Canada, 445–450
Chapman RJ (2012) Simple tools and techniques for enterprise risk management. John Wiley and Sons, New York, NY, USA, DOI: 10.1002/9781118467206
Chrzanowskil EN, Johnston DW (1986) Application of linear scheduling. Journal of Construction Engineering and Management 112(4):476–491, DOI: 10.1061/(ASCE)0733-9364(1986)112:4(476)
Chual DK, Shen LJ (2005) Key constraints analysis with integrated. Journal of Construction Engineering and Management 131(7):753–764, DOI: 10.1061/(ASCE)0733-9364(2005)131:7(753)
Ciccarellil JJ, Cohen MW (2005) Window analysis: The method and the myth. AACEInternational Transactions 2005:05.1
Clark CE (1962) The PERT model for the distribution of an activity time. Operations Research 10(3):405–406, DOI: 10.1287/opre.10.3.405
Damci A, Arditi D, Polat G (2016) Impacts of different objective functions on resource leveling in line-of-balance scheduling. KSCE Journal of Civil Engineering 20(1):58–67, DOI: 10.1007/sl2205-015-0578-7
De La Garzal JM, Prateapusanond A, Ambani N (2007) Preallocation of total float in the application of a critical path method based construction contract. Journal of Construction Engineering and Management 133(11):836–845, DOI: 10.1061/(ASCE)0733-9364(2007)133:11(836)
El-Rayes K (2001) Object-oriented model for repetitive construction scheduling. Journal of Construction Engineering and Management 127(3): 199–205, DOI: 10.1061/(ASCE)0733-9364(2001)127:3(199)
Faridil AS, El-Sayegh SM (2006) Significant factors causing delay in the UAE construction industry. Construction Management and Economics 24(11):1167–1176, DOI: 10.1080/01446190600827033
Fente J, Schexnayder C, Knutson K (2000) Defining a probability distribution function for construction simulation. Journal of Construction Engineering and Management 126(3):234–241, DOI: 10.1061/(ASCE) 0733-9364(2000)126:3(234)
Gantt HL (1913) Work, wages and profits. The Engineering Magazine Co., New York, NY, USA, DOI: 10.1086/251864
Goldratt EM (1990) What is this thing called the Theory of Constraints and how should it be implemented? North River Press, Great Barrington, MA, USA
Hajdu M, Bokor O (2016) Sensitivity analysis in PERT networks: Does activity duration distribution matter? Automation in Construction 65:1–8, DOI: 10.1016/j.autcon.2016.01.003
Halpin DW (1973) An investigation of the use of simulation network for modeling construction operations. PhD Thesis, University of Illinois, Champaign, IL, USA
Harrisl RB, Ioannou PG (1998) Scheduling projects with repeating activities. Journal of Construction Engineering and Managment 124(4):269–278, DOI: 10.1061/(ASCE)0733-9364(1998)124:4(269)
Heidelberger P, Welch PD (1983) Simulation run length control in the presence of an initial transient. Operations Research 31(6):1109–1144, DOI: 10.1287/opre.31.6.1109
Hoppl WJ, Spearman ML (2008) Factory physics, 3rd edition. Waveland Press, Long Grove, IL, USA
Huang R-Y, Sun K-S (2006) Non-unit-based planning and scheduling of repetitive construction projects. Journal of Construction Engineering and Management 132(6):585–597, DOI: 10.1061/(ASCE)0733-9364(2006)132:6(585)
Izmailov A, Korneva D, Kozhemiakin A (2016) Project management using the buffers of time and resources. Procedia -Social and Behavioral Sciences 235:189–197, DOI: 10.1016/j.sbspro.2016.11.014
Kang L, Parkl IC, Lee B (2001) Optimal schedule planning for multiple, repetitive construction process. Journal of Construction Engineering and Management 127(5):382–390, DOI: 10.1061/(ASCE)0733-9364 (2001)127:5(382)
Keller JE (1960) Critical-path planning and scheduling: Mathematical basis. Operations Research 9(3):296–435, DOI: 10.1287/opre.9.3.296
Khamooshi H, Cioffi DF (2013) Uncertainty in task duration and cost estimates: Fusion of probabilistic forecasts and deterministic scheduling. Journal of Construction Engineering and Managment 139(5):488–497, DOI: 10.1061/(ASCE)CO.1943-7862.0000616
Koskela L (2000) An explotration toward a production theory and its application to construction. VTT Technical Research Centre of Finland, Helsinki, Finland
Lee D-E, Bae T-H, Arditi D (2012) Advanced stochastic schedule simulation system. Civil Engineering and Environmental Systems 29(1):23–40, DOI: 10.1080/10286608.2011.637623
Lee H-S, Ryu H-Q, Yu J-H, Kim J-J (2005) Method for calculating schedule delay considering lost productivity. Journal of Construction Engineering and Management 131(11):1147–1154, DOI: 10.1061/(ASCE)0733-9364(2005)131:11(1147)
Lorterapong P, Ussavadilokrit M (2013) Construction scheduling using the constraint satisfaction problem method. Journal of Construction Engineering and Management 139(4):414–422, DOI: 10.1061/(ASCE)CO 1943-7862.0000582
Lucko G (2008) Productivity scheduling method compared to linear and repetitive project scheduling methods. Journal of Construction Engineering and Managment 134(9):711–720, DOI: 10.1061/(ASCE)0733-9364(2008)134:9(711)
Lucko G (2009) Productivity scheduling method: Linear schedule analysis with singularity functions. Journal of Construction Engineering and Management 135(4):246–253, DOI: 10.1061/(ASCE)0733-9364 (2009)135:4(246)
Malcolm DQ Rosebooml JH, Clarkl CE, Fazar W (1959) Application of a technique for a research and development program evaluation. Operations Research 7(5):646–669, DOI: 10.1287/opre.7.5.646
Martinez JC (1996) STROBOSCOPE: State and resource based simulation of construction processes. PhD Thesis, University of Michigan, Ann Arbor, M, USA
Martinezl JC, Ioannou PG (1999) General-purpose systems for effective construction simulation. Journal of Construction Engineering and Management 125(4):265–276, DOI: 10.1061/(ASCE)0733-9364(1999) 125:4(265)
Mouri H (2013) Log-normal distribution from a process that is not multiplicative but is additive. Physical Review E 88(4):042124, DOI: 10.1103/PhysRevE.88.042124
Nguyenl QT, Chua DH (2014) Criticality of schedule constraints -Classification and identification for project management. Journal of Engineering, Project, and Production Management 4(1):17–25, DOI: 10.32738/JEPPM.201401.0003
Nguyenl TQ, Chua DK (2015) Preemptive constraint analysis in construction schedules. Journal of Computing in Civil Engineering 29(5):04014062, DOI:10.1061/(ASCE)CP.1943-5487.0000363
Nguyenl LD, Phanl DH, Tang LC (2013) Simulating construction duration for multistory buildings with controlling activities. Journal of Construction Engineering and Management 139(8):951–959, DOI: 10.1061/(ASCE)CO.1943-7862.0000677
Ockl JH, Han SH (2010) Measuring risk-associated activity’s duration: A fuzzy set theory application. KSCE Journal of Civil Engineering 14(5):663–671, DOI: 10.1007/sl2205-010-1003-x
Poshdar M, Gonzalezl VA, Raftery M, Orozco F (2014) Characterization of process variability in construction. Journal of Construction Engineer Managment 140(11):1–9, DOI: 10.1061/(ASCE)CO.1943-7862.0000901
Russelll MM, Howell Q Hsiangl SM, Liu M (2013) Application of time buffers to construction project task durations. Journal of Construction Engineering and Management 139(10):1–10, DOI: 10.1061/(ASCE) CO. 1943-7862.0000735
Russelll MM, Hsiangl SM, Liu M, Wambeke B (2014) Causes of time buffer and duration variation in construction project tasks: Comparison of perception to reality. Journal of Construction Engineering and Management 140(6):4014016, DOI: 10.106 l/(ASCE)CO 1943-7862. 0000819
Sackey S, Kim BS (2019) Schedule risk analysis using a proposed modified variance and mean of the original program evaluation and review technique model. KSCE Journal of Civil Engineering 23(4):1484–1492, DOI: 10.1007/s12205-019-1826-z
Sadeghi N, Fayekl AR, Ingolfsson A (2012) Simulation-based approach for estimating project completion time of stochastic resource-constrained project networks. Journal of Computing in Civil Engineering 26(4):558–560, DOI: 10.1061/(ASCE)CP1943-5487.0000165
Schexnayder C, Knutson K, Fente J (2005) Describing a beta probability distribution function for construction simulation. Journal of Construction Engineering and Management 131(2):221–229, DOI: 10.1061/(ASCE) 0733-9364(2005)131:2(221)
Steyn H (2001) An investigation into the fundamentals of critical chain project scheduling. International Journal of Project Managemen 19(6):363–369, DOI: 10.1016/S0263-7863(00)00026-0
Su Y, Lucko G (2016) Linear scheduling with multiple crews based on line-of-balance and productivity scheduling method with singularity functions. Automation in Construction 70:38–50, DOI: 10.1016/j.autcon.2016.05.011
Taghaddos H, Hermann U, AbouRizk S, Mohamed Y (2014) Simulation-based multiagent approach for scheduling modular construction. Journal of Computing in Civil Engineering 2%(T) 21-21A, DOI: 10.1061/(ASCE)CP.1943-5487.0000262
Tang Y, Liu R, Sun Q (2014) Schedule control model for linear projects based on linear scheduling method and constraint programming. Automation in Construction 37:22–37, DOI: 10.1016/j.autcon.2013. 09.008
Tang Y, Liu R, Wang F, Sun Q, Kandil AA (2018) Scheduling optimization of linear schedule with constraint programming. Computer-Aided Civil and Infrastructure Engineering 33(2):124–151, DOI: 10.1111/ mice. 12277
Thabet W, Beliveau Y (1994) HVLS: Horizontal and vertical logic scheduling for multistory projects. Journal of Construction Engineering and Management 120(4):875–892, DOI: 10.1061/(ASCE)0733-9364 (1994)120:4(875)
Thomas HR Hormanl MJ, de Souzal UE, Zavfski I (2002) Reducing variability to improve performance as a lean construction principle. Journal of Construction Engineering and Management 128(2): 144–154, DOI: 10.1061/(ASCE)0733-9364(2002)128:2(144)
Wambekel WB, Hsiangl SM, Liu M (2011) Causes of variation in construction task starting times and duration. Journal of Construction Engineering And Management 137(9):663–677, DOI: 10.1061/ (ASCE)CO1943-7862.0000342
Whiteman W, Irwig H (1998) Disturbance scheduling technique for managing renovation work. Journal of Construction Engineering and Management 114(2):191–213, DOI: 10.1061/(ASCE)0733-9364(1988)114:2(191)
Yang J-B, Wei P-R (2010) Causes of delay in the planning and design phases for construction projects. Journal of Architectural Engineering 16(2):80–83, DOI: 10.1061/(ASCE)1076-0431(2010)16:2(80)
Zolfaghar HR, Afshar A, Abbasnia R (2014) CPMLOB scheduling method for project deadline constraint satisfaction. Automation in Construction 48:107–118, DOI: 10.1016/j.autcon.2014.09.003
Zou X, Fangl SC, Huangl YS, Zhang LH (2016) Mixed-integer linear programming approach for scheduling repetitive projects with time-cost trade-off consideration. Journal of Computing in Civil Engineering 31(3):1–6, DOI: 10.1061/(ASCE)CP1943-5487.0000641
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Moreno, F., Orozco, F., Rojas, O. et al. A Fixed Start Scheduling Approach for Repetitive Construction Projects. KSCE J Civ Eng 24, 1671–1682 (2020). https://doi.org/10.1007/s12205-020-1429-8
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DOI: https://doi.org/10.1007/s12205-020-1429-8