A generic risk matrix is presented for use identifying and assessing project risks quickly and cost effectively. It assists project managers with few resources to perform project risk analysis. The generic risk matrix (GRM) contains a broad set of risks that are categorized and ranked according to their potential impact and probability of occurrence. The matrix assists PMs in quickly identifyin...

The problem we investigate deals with the optimal assignment of resources to the activities of a stochastic project network. We seek to minimize the expected cost of the project include sum of resource utilization costs and lateness costs. We assume that the work content required by the activities follows an exponential distribution. The decision variables of the model are the allocated resourc...

The discrete time –cost trade-off problem (DTCTP) is one of the main aspects of project scheduling. In DTCTP , we treat cost as a non-renewable resource and the availability of renewable resource per period has been neglected. It was recently suggested that the quality of project should also be taken into consideration. Therefore, when renewable resources and quality are considered, the traditi...

Growing concern in the management of energy due to the increasing energy costs, has forced managers to optimize the amount of energy required to provide products and services. This research integrates an energy-based resource investment project-scheduling problem (RIP) under a multi-skilled structure of the resources. The proposed energy based multi skilled resource investment problem (EB-MSRIP...

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...

The allocation of risks among the contracting parties in a contract is an important decision affecting the project success. Some risks in a project are uncontrollable; these are imposed to a project by external factors. Since contracting parties can neither control nor affect the occurrence of such risks, their allocation to a party would be inequitable. Therefore the cost overrun related to un...

This paper presents the mixed-integer nonlinear programming (MINLP) optimization model for the nonlinear discrete time–cost trade-off problem (NDTCTP). The nonlinear total project cost objective function of the proposed MINLP optimization model is subjected to a rigorous system of generalized precedence relationship constraints between project activities, project duration constraints, logical c...

this study presents the effects of project uncertainties on nonlinear time-cost tradeoff (tct) profile of real life engineering projects by the fusion of fuzzy logic and artificial neural network (ann) models with hybrid meta-heuristic (hmh) technique, abridged as fuzzy-ann-hmh. nonlinear time-cost relationship of project activities is dealt with ann models. ann models are then integrated with ...

In a competitive world, it is important to measure and improve the performance of software engineering processes and imperative to identify and eliminate rework that could have been avoided. The cost of software quality is one measure of the performance of software processes. It comprises the total cost associated with the prevention, appraisal, and correction of the anomalies in a product. A m...