In real projects, the trade-off between the project cost and the project completion time, and the environmental uncertainty are aspects of considerable importance for managers. For complex environment with more than one type of uncertainty, this paper presents three types of time–cost trade-off models, in which the project environment is described via introducing the fuzzy random theory. The ex...

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,...

Time and cost are among the important aspects considered for every construction project. Many research approaches have been followed to model time-cost relationship. There is a constant rise in the use of innovative contract methods which provide incentives for maximizing quality. There is an increasing pressure to improve the project performance due to the innovative contracting methods which ...

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...

When the processing times of jobs are controllable, selected processing times affect both themanufacturing cost and the scheduling performance.Awell-known example for such a case that this paper specifically deals with is the turning operation on a CNCmachine. Manufacturing cost of a turning operation is a nonlinear convex function of its processing time. We also know that scheduling decisions ...

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...