Simulated annealing: theory and applications
Simulated annealing: theory and applications
Nonlinear time/cost tradeoff models in project management
Computers and Industrial Engineering
An application of fuzzy goal programming to a multiobjective project network problem
Fuzzy Sets and Systems
A Stochastic Branch-and-Bound Approach to Activity Crashing in Project Management
INFORMS Journal on Computing
Operations Research: An Introduction (8th Edition)
Operations Research: An Introduction (8th Edition)
Fuzzy Mathematical Programming and Fuzzy Matrix Games (Studies in Fuzziness and Soft Computing)
Fuzzy Mathematical Programming and Fuzzy Matrix Games (Studies in Fuzziness and Soft Computing)
A dynamic crashing method for project management using simulation-based optimization
Proceedings of the 40th Conference on Winter Simulation
New fuzzy models for time-cost trade-off problem
Fuzzy Optimization and Decision Making
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Managers often face difficulties when making project decisions that involve large number of interrelated activities --the planning and scheduling of which is project management. Most problems often arise in areas such as product development, production planning and control and setting up the production facilities. One important aspect of project management is activity crashing, i.e. reducing the activity time by adding more resources such as workers, overtime and so on. It is important to decide the optimal crash plan to complete the project within the desired time period. A fuzzy simulated annealing crashing method is introduced in this paper to evaluate project networks and determine the optimum crashing configuration that minimizes the average project cost, due to lateness penalties and crashing costs in the presence of vagueness and uncertainty. Through a real project example the proposed approach is shown effective and efficient in conducting time-cost tradeoff analysis.