Showing 1 - 10 of 175,736
We consider a novel generalization of the resource-constrained project scheduling problem (RCPSP). Unlike many established approaches for the RCPSP that aim to minimize the makespan of the project for given static capacity constraints, we consider the important real-life aspect that capacity...
Persistent link: https://www.econbiz.de/10011942632
The time–cost tradeoff problem is one of the most important and applicable problems in project scheduling area. There are many factors that force the mangers to crash the time. This factor could be early utilization, early commissioning and operation, improving the project cash flow, avoiding...
Persistent link: https://www.econbiz.de/10011562791
Persistent link: https://www.econbiz.de/10011787477
Purpose: The goal of this article is to provide an extensive literature review of the models and solution procedures proposed by many researchers interested on the Project Scheduling Problem with non-deterministic activities duration. Design/methodology/approach: This paper presents an...
Persistent link: https://www.econbiz.de/10011920873
We consider a novel generalization of the resource-constrained project scheduling problem (RCPSP). Unlike many established approaches for the RCPSP that aim to minimize the makespan of the project for given static capacity constraints, we consider the important real-life aspect that capacity...
Persistent link: https://www.econbiz.de/10011655297
Persistent link: https://www.econbiz.de/10013445709
Persistent link: https://www.econbiz.de/10014517525
Persistent link: https://www.econbiz.de/10011787474
Purpose: The issue resource over-allocating is a big concern for project engineers in the process of scheduling project activities. Resource over-allocating drawback is frequently seen after scheduling of a project in practice which causes a schedule to be useless. Modifying an over-allocated...
Persistent link: https://www.econbiz.de/10011919271
The automatic generation of behavioural models for intelligent agents in military simulation and experimentation remains a challenge. Genetic Algorithms are a global optimization approach which is suitable for addressing complex problems where locating the global optimum is a difficult task....
Persistent link: https://www.econbiz.de/10012129907