Abstract
The construction project managers often face the challenges to compromise among different conflicting aspects of a project, especially for the criteria of time, cost, quality, and environment in a multi-modal project. This leads to a multi-criteria multi-modal project scheduling decision making problem. The complexity in the project scheduling is concentrated on the search for an ideal level of balance among all the conflicting criteria. In fact, the tradeoff among these criteria is determined by the modal selection and the duration reduction applied within the selected mode in a multi-modal project. Therefore, it is important to improve the optimality and effectiveness of modal selection that significantly contributes to the success of a project. In this chapter, the introduction and statement of a discrete time-cost-environment tradeoff problem (DTCETP) for large-scale construction systems with multiple modes under fuzzy uncertainty are presented. The modelling process of DTCETP is explained in detail. Since the DTCETP belongs to the class of non-deterministic polynomial-time hard problems, a fuzzy-based adaptive-hybrid genetic algorithm is developed to efficiently find feasible solutions. Finally, the case study of Jinping-II Hydroelectric Project is employed as a practical application example.
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Ahn T, Erenguc SS (1998) The resource constrained project scheduling problem with multiple crashable modes: a heuristic procedure. Eur J Oper Res 107:250–259
Akkan C, Drexl A, Kimms A (2005) Network decomposition-based benchmark results for the discrete time-cost tradeoff problem. Eur J Oper Res 165:339–358
Al-Fawzana MA, Haouari M (2005) A bi-objective model for robust resource-constrained project scheduling. Int J Prod Econ 96:175–187
Ammar MA (2011) Optimization of project time-cost trade-off problem with discounted cash flows. J Constr Eng Manag ASCE 137:65–71
Brismar A (2004) Attention to impact pathways in EISs of large dam projects. Environ Impact Assess Rev 24:59–87
Chen S, Chen B, Su M (2011) The cumulative effects of dam project on river ecosystem based on multi-scale ecological network analysis. Procedia Environ Sci 5:12–17
Chiang CM, Lai CM (2002) A study on the comprehensive indicator of indoor environment assessment for occupants’ health in Taiwan. Build Environ 37:387–392
De P, James DE, Ghosh JB, Wells CE (1995) The discrete time-cost tradeoff problem revisited. Eur J Oper Res 81:225–238
De P, James DE, Ghosh JB, Wells CE (1997) Complexity of the discrete time-cost tradeoff problem for project networks. Oper Res 45:302–306
Deineko VG, Woeginger GJ (2001) Hardness of approximation of the discrete time-cost tradeoff problem. Oper Res Lett 29:207–210
Demeulemeester EL, Herroelen WS (2002) Project scheduling: a research handbook. Kluwer Academic, Dordrecht
Demeulemeester EL, Herroelen WS, Elmaghraby SE (1996) Optimal procedures for the discrete time/cost trade-off problem in project networks. Eur J Oper Res 88:50–68
Ding GKC (2008) Sustainable construction: the role of environmental assessment tools. J Environ Manag 86:451–464
Dubois D, Prade H (1988) Possibility theory: an approach to computerized processing of uncertainty. Plenum, New York
Eshtehardian E, Afshar A, Abbasnia R (2009) Fuzzy-based MOGA approach to stochastic time-cost trade-off problem. Autom Constr 18:692–701
Gangolells M, Casals M, Gasso S, Forcada N, Roca X, Fuertes A (2009) A methodology for predicting the severity of environmental impacts related to the construction process of residential buildings. Build Environ 44:558–571
Gen M, Cheng R, Lin L (2008) Network models and optimization: multiobjective genetic algorithm approach. Springer, Berlin
Goldberg DE (1989) Genetic algorithms in search, optimization and machine learning. Addison-Wesley Professional, Boston
Harvey RT, Patterson JH (1979) An implicit enumeration algorithm for the time/cost tradeoff problem in project network analysis. Found Control Eng 4:107–117
Hindelang TJ, Muth JF (1979) A dynamic programming algorithm for decision CPM networks. Oper Res 27:225–241
Holland JH (1992) Adaptation in natural and artificial system. MIT Press, Cambridge
Klerides E, Hadjiconstantinou E (2010) A decomposition-based stochastic programming approach for the project scheduling problem under time/cost trade-off settings and uncertain durations. Comput Oper Res 37:2131–2140
Leu SS, Chen AT, Yang CH (2001) A GA-based fuzzy optimal model for construction time-cost trade-off. Int J Proj Manag 19:47–58
Li X, Zhu Y, Zhang Z (2010) An LCA-based environmental impact assessment model for construction processes. Build Environ 45:766–775
Liang TF (2010) Applying fuzzy goal programming to project management decisions with multiple goals in uncertain environments. Expert Syst Appl 37:8499–8507
Liu KFR, Lai JH (2009) Decision-support for environmental impact assessment: a hybrid approach using fuzzy logic and fuzzy analytic network process. Expert Syst Appl 36:5119–5136
Liu L, Burns SA, Feng CW (1995) Construction time-cost trade-off analysis using LP/IP hybrid method. J Constr Eng Manag ASCE 121:446–454
Long LD, Ohsato A (2008) Fuzzy critical chain method for project scheduling under resource constraints and uncertainty. Int J Proj Manag 26:688–698
Michalewicz Z (1996) Genetic algorithm + data structure = evolution programs. Springer, Berlin
Montoya-Torres JR, Gutierrez-Franco E, Pirachican-Mayorga C (2010) Project scheduling with limited resources using a genetic algorithm. Int J Proj Manag 28:619–628
Nahmias S (1978) Fuzzy variables. Fuzzy Set Syst 1:97–110
Pagnoni A (1990) Project engineering: computer oriented planning and operational decision making. Springer, Berlin
Peche R, Rodríguez E (2009) Environmental impact assessment procedure: a new approach based on fuzzy logic. Environ Impact Assess Rev 29:275–283
Peng W, Wang C (2009) A multi-mode resource-constrained discrete time-cost tradeoff problem and its genetic algorithm based solution. Int J Proj Manag 27:600–609
Pheng LS, Chuan QT (2006) Environmental factors and work performance of project managers in the construction industry. Int J Proj Manag 24:24–37
Reschke H, Schelle H (1990) Demensions of project management. Springer, Berlin
Tareghian HR, Taheri SH (2007) A solution procedure for the discrete time, cost and quality tradeoff problem using electromagnetic scatter search. Appl Math Comput 190:1136–1145
Wang YS, Liang CY, Ju YZ (2010) Model and resolution approach for problem of multi-project time-cost trade-off. Comput Eng Appl 46:237–240
Wȩglarz J (1999) Project scheduling: recent models, algorithms and applications. Kluwer Academic Publishers, Dordrecht
Xu JP, Li ZM (2012) A review on ecological engineering based engineering management. Omega-Int J Manag S 40:368–378
Xu JP, Zeng ZQ (2011) A discrete time optimal control model with uncertainty for dynamic machine allocation problem and its application to manufacturing and construction industries. Appl Math Model 36:3513–3544
Xu JP, Zhou XY (2011) Fuzzy-like multiple objective decision making. Springer, Berlin
Xu JP, Zheng H, Zeng ZQ, Wu SY, Shen MB (2012) Discrete time-cost-environment trade-off problem for large-scale construction systems with multiple modes under fuzzy uncertainty and its application to Jinping-II Hydroelectric Project. Int J Proj Manag 30:950–966
Zadeh LA (1965) Fuzzy sets. Inform Control 8:338–353
Acknowledgements
This research was supported by the Key Program of NSFC (Grant No. 70831005), the Research Foundation of the Ministry of Education for the Doctoral Program of Higher Education of China (Grant No. 20130181110063), and the China Scholarship Council (CSC).
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Xu, J., Zeng, Z. (2015). Multi-Criteria Multi-Modal Fuzzy Project Scheduling in Construction Industry. In: Schwindt, C., Zimmermann, J. (eds) Handbook on Project Management and Scheduling Vol. 2. International Handbooks on Information Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-05915-0_29
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