The completion time and nonrenewable resources are traditionally considered for construction of project. When renewable resources, quality and some criteria considered for the project, the risk related to criteria has to be taken into account. Thus project planning problem can be defined as multicriteria decision problem under risk. In this paper, a project scheduling problem including time, co...

Available online 21 June 2009

This research presents three approaches to solve multi-mode project scheduling problems with the objective of minimizing both project makespan and total cost. Total cost includes (1) total renewable resource investment for project executions; (2) activity mode execution cost including non-renewable resource consumption. The first approach applies a dual-population memetic algorithm (DPMA) withi...

In this paper we present a hybrid strategy developed using genetic algorithms (GAs), simulated annealing (SA), and quantum simulated annealing techniques (QSA) for the discrete time–cost trade-off problem (DTCTP). In the hybrid algorithm (HA), SA is used to improve hill-climbing ability of GA. In addition to SA, the hybrid strategy includes QSA to achieve enhanced local search capability. The H...

Pengendalian pekerjaan yang harus dilakukan yaitu penambahan peralatan serta perubahan metode pelaksanaan dapat memperpendek waktu proyek, akan tetapi disisi lain biaya proyek meningkat. Dengan adanya keterbatasan tenaga kerja maka alternatif biasa digunakan untuk menunjang percepatan aktivitas adalah dengan jamkerja dan sehingga berpengaruh pada total proyek. Untuk mengetahui hal ini perlu dip...

Today, the construction industry is facing intense competition and success in this competition depends on several factors. Project managers try to minimize project time and cost, carbon dioxide emission and at the same time maximizing the quality of project and its plan robustness. In this paper, study construction project scheduling considering a discrete trade-off between time, cost, quality,...

With the growth of Utility Grids and various Grid market infrastructures, the need for efficient and cost effective scheduling algorithms is also increasing rapidly, particularly in the area of meta-scheduling. In these environments,users not only may have conflicting requirements with other users, but also they have to manage the trade-off between time and cost such that their applications can...

A poor quality affects project makespan and its total costs negatively, but it can be recovered by repair works during construction. We construct a new non-linear programming model based on the classic multi-mode resource constrained project scheduling problem considering repair works. In order to obtain satisfactory quality without a high increase of project cost, the objective is to minimize ...

We develop a multi-objective model for the time-cost trade-off problem in PERT networks with generalized Erlang distributions of activity durations, using a genetic algorithm. The mean duration of each activity is assumed to be a non-increasing function and the direct cost of each activity is assumed to be a non-decreasing function of the amount of resource allocated to it. The decision variabl...

The rising costs and demand of electricity for high-performance computing systems pose difficult challenges to system administrators that are trying to simultaneously reduce operating costs and offer state-of-the-art performance. However, system performance and energy consumption are often conflicting objectives. Algorithms are necessary to help system administrators gain insight into this ener...