Flexible resource management and its effect on project cost and duration
Subject Areas : Mathematical OptimizationDesta A. Hailemariam 1 , Xiaojun Shan 2 , Sung H. Chung 3 , Mohammad T. Khasawneh 4 , William Lukesh 5 , Angela Park 6 , Adam Rose 7 , Denis C . Pinha 8 , Rashpal S. Ahluwalia 9
1 - Systems Science and Industrial Engineering, Binghamton University, Binghamton, NY, USA|New England Veterans Engineering Resource Center, Jamaica Plain Veterans Affairs Medical Center, Boston, USA
2 - Systems Science and Industrial Engineering, Binghamton University, Binghamton, NY, USA
3 - Systems Science and Industrial Engineering, Binghamton University, Binghamton, NY, USA
4 - Systems Science and Industrial Engineering, Binghamton University, Binghamton, NY, USA
5 - New England Veterans Engineering Resource Center, Jamaica Plain Veterans Affairs Medical Center, Boston, USA
6 - New England Veterans Engineering Resource Center, Jamaica Plain Veterans Affairs Medical Center, Boston, USA
7 - Center for Healthcare Organization and Implementation Research, Edith Nourse Rogers Memorial Veterans Affairs Hospital, Bedford, MA, USA|Department of Medicine, Section of General Internal Medicine, Boston University School of Medicine, Boston, MA, USA
8 - West Virginia University, Morgantown, WV, USA
9 - West Virginia University, Morgantown, WV, USA
Keywords:
Abstract :
Abrantes R, Figueiredo J (2015) Resource management process framework for dynamic NPD portfolios. Int J Project Manage 33(6):1274–1288
Alcaraz J, Maroto C, Ruiz R (2003) Solving the multi-mode resourceconstrained project scheduling problem with genetic algorithms. J Oper Res Soc 54:614–626
AlSehaimi A, Koskela L, Tzortzopoulos P (2013) Need for alternative research approaches in construction management: case of delay studies. J Manage Eng 29(4):407–413
Arabzadeh V, Niaki STA, Arabzadeh VJ (2017) Construction cost estimation of spherical storage tanks: artificial neural networks and hybrid regression—GA algorithms. J Ind Eng Int. https://doi.org/10.1007/s40092-017-0240-8
Arau´zo J, Pajares J, Lopez-Paredes A (2010) Simulating the dynamic scheduling of project portfolios. Simul Model Pract Theory 18(10):1428–1441
Baumann P, Trautmann N (2013) Optimal scheduling of workcontent constrained projects. In: Proceedings of the IEEE
international conference on industrial engineering and engineering management
Bes¸ikci U, Bilge U, Ulusoy G (2015) Multi-mode resource constrained multi-project scheduling and resource portfolio problem. Eur J Oper Res 240(1):22–31
Bianco L, Caramia M (2013) A new formulation for the project scheduling problem under limited resources. Flex Serv Manuf J 25:6–24
Bouleimen K, Lecocq H (2003) A new efficient simulated annealing algorithm for the resource-constrained project scheduling problem and its multiple mode version. Eur J Oper Res 149(2):268–281
Browning T, Yassine A (2010) Resource-constrained multi-project scheduling: priority rule performance revisited. Int J Prod Econ 126(2):212–228
Brucker P, Drexl A, Mohring R, Neumann K, Pesch E (1999) Resource-constrained project scheduling: notation, classification, models, and methods. Eur J Oper Res 112:3–41
Chen P, Shahandashti S (2009) Hybrid of genetic algorithm and simulated annealing for multiple project scheduling with multiple resource constraints. Autom Constr 18(4):434–443
Cho S, Steven D (2005) A simulation-based process model for managing complex design projects. IEEE Trans Eng Manage
52(3):316–328
Chryssolouris G (1999) A planning and control method for shipyard processes: a ship-repair yard case study. In: 10th international conference on computer applications in shipbuilding, ICCAS 99
Chryssolouris G, Makris S, Xanthakis V, Mourtzis D (2004) Towards the internet-based supply chain management for the ship repair industry. J Comput Integr Manuf 17(1):45–57
Dandage RV, Mantha SS, Rane SB (2017) Analysis of interactions among barriers in project risk management. J Ind Eng Int. https://doi.org/10.1007/s40092-017-0215-9
Dao SD, Abhary K, Marian R (2017) An improved genetic algorithm for multidimensional optimization of precedence-constrained production planning and scheduling. J Ind Eng Int 13:143. https://doi.org/10.1007/s40092-016-0181-7
DoN (2013) http://www.onr.navy.mil/*/media/Files/FundingAnnouncements/BAA/2013/13-020.ashx. Accessed 7 Mar 2015
Drexl A, Nissen R, Patterson J, Salewski F (2000) Progen/px—an instance generator for resource-constrained project scheduling problems with partially renewable resources and further extensions. Eur J Oper Res 125(1):59–72
Elmaghraby S (1977) Task networks: project planning and control by network models. Wiley, New York
Fundeling C, Trautmann N (2010) A priority-rule method for project scheduling with work-content constraints. Eur J Oper Res 203:568–574
Garmdare HS, Lotfi MM, Honarvar M (2017) Integrated model for pricing, delivery time setting, and scheduling in make-to-order environments. J Ind Eng Int. https://doi.org/10.1007/s40092-017-0205-y
Garmsiri M, Abassi MR (2012) Resource leveling scheduling by an ant colony-based model. J Ind Eng Int 8:7. https://doi.org/10.1186/2251-712X-8-7
Hartmann S, Briskorn D (2010) A survey of variants and extensions of the resource-constrained project scheduling problem. Eur J Oper Res 207(1):1–14
Hashemin SS, Fatemi Ghomi SMTJ (2012) Constrained consumable resource allocation in alternative stochastic networks via multiobjective decision making. J Ind Eng Int 8:18. https://doi.org/10.1186/2251-712X-8-18
Hu D, Mohamed Y (2013) Time-stepped, simulation-based scheduling system for large-scale industrial construction projects. In: Simulation conference (WSC), 2013 Winter, pp 3249–3256. https://doi.org/10.1109/wsc.2013.6721690
Ighravwe DE, Oke SA, Adebiyi KA (2016) A reliability-based maintenance technicians’ workloads optimisation model with
stochastic consideration. J Ind Eng Int 12:171. https://doi.org/10.1007/s40092-015-0134-6
Jain M, Mittal RJ (2016) Adaptive call admission control and resource allocation in multi server wireless/cellular network.
J Ind Eng Int 12:71. https://doi.org/10.1007/s40092-015-0129-3
Jo´zefowska J, Weglarz J (2006) Perspectives in modern project scheduling. Springer, New York
Jozefowska J, Mika M, Rozycki R, Waligora G, Weglarz J (2001) Simulated annealing for multi-mode resource-constrained project scheduling. Ann Oper Res 102:137–155
Khadem MMRK, Piya S, Shamsuzzoha AJ (2017) Quantitative risk management in gas injection project: a case study from Oman oil and gas industry. J Ind Eng Int. https://doi.org/10.1007/s40092-017-0237-3
Kolisch R, Drexl A (1997) Local for multi-mode resource-constrained project. IIE Trans 29(11):987–999
Laslo Z, Goldberg A (2008) Resource allocation under uncertainty in a multi-project matrix environment: is organizational conflict inevitable? Int J Project Manage 26(8):773–788
Lau S, Lu M, Poon C (2014) Formalized approach to discretize a continuous plant in construction simulations. J Const Eng
Manage 140(8):04014032
Leadership (2013) https://www.vsm.de/sites/default/files/dokumente/bc3eeb94a6e55303989d809f6512192c/leadership2020-final-repo
rt_en.pdf. Accessed 21 Oct 2015
Liu H, Al-Hussein M, Lu M (2015) BIM-based integrated approach for detailed construction scheduling under resource constraints. Autom Constr 53:29–43
Lu M (2003) Simplified discrete-event simulation approach for construction simulation. J Const Eng Manage 129(5):537–546
Lu M, Lam H, Dai F (2008) Resource-constrained critical path analysis based on discrete event simulation and particle swarm optimization. Autom Constr 17(6):670–681
MARAD (2013) https://www.marad.dot.gov/wp-content/uploads/pdf/MARAD_Econ_Study_Final_Report_2013.pdf. Accessed 16 Jul 2016
Mortaji STH, Noori S, Noorossana R (2017) An ex ante control chart for project monitoring using earned duration management observations. J Ind Eng Int. https://doi.org/10.1007/s40092-017-0251-5
Mourtzis D (2005) An integrated system for managing ship repair operations. Int J Comput Integr Manuf 18(8):721–733
MP (2015) http://office.microsoft.com/en-us/project. Accessed 11 Mar 2015
Naber A, Kolisch R (2014) MIP models for resource-constrained project scheduling with flexible resource profiles. Eur J Oper Res 239(2):335–348
Noori-Darvish S, Tavakkoli-Moghaddam R (2012) Minimizing the total tardiness and makespan in an open shop scheduling problem with sequence-dependent setup times. J Ind Eng Int 8:25. https://doi.org/10.1186/2251-712X-8-25
NRC (2009) https://www.nap.edu/catalog/12717/advancing-the-competi tiveness-and-efficiency-of-the-us-construction-industry. Accessed 6 Feb 2015
NSRP (2013) https://www.nsrp.org/portfolio_year_tag/2013/. Accessed 21 July 2016
Peteghem V, Vanhoucke M (2010) A genetic algorithm for the preemptive and non-preemptive multi-mode resource-constrained project scheduling problem. Eur J Oper Res 201(2):409–418
Pinha D (2015) Short-term resource allocation and management. Ph.D. dissertation, West Virginia University, USA
Pinha D, De Queiroz MH, Cury JER (2011) Optimal scheduling of a repair shipyard based on supervisory control theory. In:
Proceedings of the ieee conference on automation science and engineering (CASE), pp 39–44
Pinha D, Ahluwalia R, Carvalho A (2015) Parallel mode schedule generation scheme. IFAC-PapersOnLine 48(3):794–799
Pinha D, Ahluwalia R, Senna P (2016) The combinatorial multi-mode resource constrained multi-project scheduling problem. Int J Supply Oper Manage 3(3):1391–1412
PMI KPMG (2013) Study on project schedule and cost overruns. http://www.infrapppworld.com/documents/reports/PMI-KPMG2013.pdf. Accessed 16 July 2016
PMI (2013b) A guide to the project management body of knowledge, 5th edn. Project Management Institute, Newtown Square, PA
Primavera (2015) https://docs.oracle.com/cd/E16688_01/Moving_From_P3_to_P6/MovingfromP3toP6.pdf. Accessed 11 Apr 2016
Pritsker A, Watters L, Wolfe P (1969) Multi project scheduling with limited resources: a zero-one programming approach. Manage Sci 16:93–108
Ranjbar M, Kianfar F (2010) Resource-constrained project scheduling problem with flexible work profiles: a genetic algorithm approach. Trans E Ind Eng 17:25–35
Rehm M, Thiede J (2012) A survey of recent methods for solving project scheduling problems. Technische Universita¨t Dresden, Fakulta¨t Wirtschaftswissenschaften
Reichelt K, Lyneis J (1999) The dynamics of project performance: benchmarking the drivers of cost and schedule overrun. Eur Manage J 17(2):135–150
Rieck J, Zimmermann J, Gather T (2012) Mixed-integer linear programming for resource leveling problems. Eur J Oper Res
221:27–37
Sabzehparvar M, Seyed-Hosseini S (2008) A mathematical model for the multimode resource-constrained project scheduling problem with mode dependent time lags. J Supercomput 44(3):257–273
Shahriari M (2016) Multi-objective optimization of discrete time–cost tradeoff problem in project networks using non-dominated sorting genetic algorithm. J Ind Eng Int 12:159. https://doi.org/10.1007/s40092-016-0148-8
Shahriari M, Shoja N, Zade AE et al (2016) JIT single machine scheduling problem with periodic preventive maintenance. J Ind Eng Int 12:299. https://doi.org/10.1007/s40092-016-0147-9
Siu M, Lu M, AbouRizk S (2014) Bi-level project simulation methodology to integrate superintendent and project manager in decision making: shutdown/turnaround applications. In: Proceedings of the 2014 winter simulation conference (WSC
‘14). IEEE Press, Piscataway, NJ, pp 3363–3364
Siu M, Lu M, AbouRizk S (2015) Zero-one programming approach to determine optimum resource supply under time-dependent resource constraints. J Comput Civ Eng. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000498
Speranza MG, Vercellis C (1993) Hierarchical models for multiproject planning and scheduling. Eur J Oper Res 64(2):312–325
Vanhoucke M (2013) Project management with dynamic scheduling, baseline scheduling, risk analysis and project control, vol XVIII, 2nd edn. Springer, Berlin (123 illus)
Wongwai N, Malaikrisanachalee S (2011) Augmented heuristic algorithm for multi-skilled resource scheduling. Autom Constr 20(4):429–445
Xu J, Feng C (2014) Multimode resource-constrained multiple project scheduling problem under fuzzy random environment and its application to a large scale hydropower construction project. Sci World J 2014:463692. https://doi.org/10.1155/2014/463692
Xue H, Wei S, Wang Y (2010) Resource-constrained multi-project scheduling based on ant colony neural network. In: Apperceiving computing and intelligence analysis (ICACIA) international conference, pp 179–182
Yaghoubi S, Noori S, Mazdeh MM (2013) A heuristic method for consumable resource allocation in multi-class dynamic PERT networks. J Ind Eng Int 9:17. https://doi.org/10.1186/2251-712X-9-17
Zhang L, Sun R (2011) An improvement of resource-constrained multi-project scheduling model based on priority-rule based heuristics. In: 8th international conference on service systems and service management (ICSSSM), pp 1–5