Title :
A MODM Bi-level Model with Fuzzy Random Coefficients for Resource-Constrained Project Scheduling Problems
Author_Institution :
Sch. Econ. & Manage., Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
The aim of this paper is to solve resource-constrained projects scheduling problems (RCPSP) with complex hierarchical organization structure. A bi-level MODM model with fuzzy random coefficients is developed for RCPSP under hybrid uncertainty environment. In this model, construction contractor is considered as the upper level decision maker (ULDM) and outsourcing partner is the lower level decision maker (LLDM). The bi-level multiple objective particle swarm optimization algorithm (BL-MOPSO) is designed to obtain the optimal schedule. An illustrative example is given in order to show the effectiveness of the proposed model and algorithm.
Keywords :
decision making; fuzzy set theory; particle swarm optimisation; scheduling; BL-MOPSO; LLDM; MODM bilevel model; RCPSP; ULDM; bilevel MODM model; bilevel multiple objective particle swarm optimization algorithm; complex hierarchical organization structure; construction contractor; fuzzy random coefficients; hybrid uncertainty environment; lower level decision maker; outsourcing partner; resource constrained project scheduling problems; upper level decision maker; Algorithm design and analysis; Optimal scheduling; Processor scheduling; Random variables; Scheduling; Uncertainty; Bi-level; Fuzzy random variables; Multi-objective optimization; PSO; RCPSP;
Conference_Titel :
Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-5371-4
DOI :
10.1109/CSO.2014.123
