We consider the problem of scheduling multiple projects subject to joint resource constraints. All approaches proposed in the literature so far are based on the assumption that resources can be transferred from one project to the other without any expense in time or cost. In many realworld settings this assumption is not realistic. For example, cranes have to be transported to another location ...

Genetic algorithm is one of the main heuristics that have been applied to scheduling problems in the last few decades. This paper presents a generalization of the genetic algorithm for solving project scheduling problem under time uncertainties within resource leveling technique. The generalization consists of handling fuzzy time parameter and fuzzy resource distribution instead of crisp ones. ...

In this paper the multi-mode resource-constrained project scheduling problem with discounted cash flows is considered. Minimizing the makespan and maximization the net present value (NPV) are the two common objectives that have been investigated in the literature. We apply one evolutionary algorithm named multiobjective particle swarm optimization (MOPSO) to find Pareto front solutions. We used...

This paper addresses the multi-mode multi-skilled resource-constrained project scheduling problem. Activities of real world projects often require more than one skill to be accomplished. Besides, in many real-world situations, the resources are multi-skilled workforces. In presence of multi-skilled resources, it is required to determine the combination of workforces assigned to each activity. H...

during the implementation, construction projects usually encounter situation that considerably affects the project scheduling and cost. this study aims at using an improved version of the harmony search algorithm (hsa) to schedule resource constrained construction projects. this model is formulated as a global optimization problem. it will determine the duration of each activity to minimize the...

This article presents a novel integrated method in which bio-soft computational and tabu search methods are both used to solve a multi-task project scheduling problem. In this scheduling problem, the main challenge is to determine the most reliable completion time. To solve this problem, we first use our proposed bio-soft computational method. Next, a tabu search method is used to verify the fi...

This work deals with the multi-mode resource-constrained project scheduling problem. In this problem, activities of the project may be executed in more than one operating mode and renewable resource constraints exist. Each activity operation mode has a different duration and requires different amount of renewable resources. The objective function considered is the minimisation of the project co...

Resource constrained project scheduling problem (RCPSP) is mainly investigated with the objective of either minimizing project makespan or maximizing project net present value. However, when material planning plays a key role in a project, the existing models cannot help determining material ordering plans to minimize material costs. In this paper, the RCPSP incorporated with the material order...

A common problem arising in project management is the fact that the baseline schedule is often disrupted during the project execution because of uncertain parameters. As a result, project managers are often unable to meet the deadline time of the milestones. Robust project scheduling is an effective approach in case of uncertainty. Upon adopting this approach, schedules are protected against po...