Using fuzzy logic to improve the project time and cost estimation based on Project Evaluation and Review Technique (PERT) (original) (raw)

Analyzing and Estimating the project success with a hybrid method based on fuzzy theory and decision making analysis

2015 International Conference on Industrial Engineering and Operations Management (IEOM), 2015

Forecasting the progress or regression of a project can definitely change the project's direction and lead to implement a strategy with lower risks. In this paper a new technique is developed first in order to model the problem using Analytical Hierarchy Process as a Multi Criteria Decision Making and then to apply fuzzy theory in project management's main factors such as: time, quality and cost by defining the triangular fuzzy membership function for each one in the MATLAB fuzzy toolbox based on if-then rules extracted from the experts' experiences. This methodology can be used by project managers to reduce the risks of uncertainty when deciding for investments, resource allocation and other levels from planning to executing as well as easily determining the percent of performance. The contribution of this study lies in presenting a fuzzy mathematical programming methodology to fuzzy multi-objective PM decisions, and provides a systematic decision-making framework that facilitates the decision maker to interactively adjust the search direction until the preferred efficient solution is obtained.

Projects Never Fail: A Critical Review on Estimation of Project Scheduling and Project Costing

Industrial Engineering Letters, 2016

Uncertainty remains common in all projects. It is need to realize this uncertainty and have to minimize the effect of this uncertainty to achieve better project outcomes. To realize the project on truthful base it is required to develop project schedule and estimate project costing on reality bases. A lot of project scheduling and costing techniques and tools are used to measure the accuracy. The new systematic techniques increase project outcomes and also reduce the uncertainty from the projects. This study will leads to examine thoroughly project scheduling and project costing. Then this study will guide project managers how to develop a project schedule and what factors are effecting on the project scheduling and a sample project schedule will also provide for project managers and students of project management. After that the major sources of project costing and the method to calculate the project cost will also provide. And the sample project costing sheet is also develop in t...

Optimal estimating the project completion time and diagnosing the fault in the project

The main objective of the project management team is to implement the project taking into consideration the Budget, schedule and constraints. In addition, project accomplishment, especially with large projects, requires the project to be correctly envisaged. Earned value (EV) management is a valuable technique for analyzing and controlling the performance of the project and predicting the total cost before its completion. Thus, fuzzy systems such as Adaptive Network based on the Fuzzy Inference System (ANFIS) and Parallel Structure based on the Fuzzy System (PSFS) are used to predict the project completion time. In this paper, the plan value diagram is used to predict the earn value diagram using three methods. These three methods are based on the PSFS and Neural Networks (NNs), which help with the implementation of the projects in organizations. The results of these three methods decreased the prediction error of the EV diagram by up to 2%.

Development of Integrated Software Project Planning Model based on Cost Factors and Fuzzy Technique

As the most uncertain and complex project when compared to other types of projects, software development project is highly depend on the result of software project planning phase that helping project managers by predicting the project demands with respect to the budgeting, scheduling, and the allocation of resources. The two main activities in software project planning are effort estimation and risk assessment which has to be executed together because the accuracy of the effort estimation is highly dependent on the size, nature, and number of project risks, which are inherent in a particular software project.

An improved fuzzy critical chain approach in order to face uncertainty in project scheduling

2017

This paper proposes an improved critical chain method with fuzzy approach to schedule projects under uncertainty. Utilizing fuzzy numbers can be wise because of the natural uncertainty in estimation of required work to accomplish the project tasks. To minimize the project duration as an objective taking into account resource limitations and other constrains, a Resource Constraint Project Scheduling Problem model (RCPSP) is adopted. The outputs of this model determine the project schedule. Then, regarding to CCPM concepts, a new buffer sizing method is introduced. As a result, a project buffer is added to the end of the project schedule and will be used if necessary. The methodology can be used as a control procedure.

The time-cost analysis of the construction project, taking into account risk based on expert knowledge using fuzzy sets

2011

The analysis proposed is aimed at a detailed risk review for a given project at the stage of value engineering of the integrated value and risk management. On the basis of the cost estimate and the time schedule established, for individual groups of works, the cost or time deviations for each task are specified. Expert knowledge is used for this purpose. In order to transform the input information, it is necessary to introduce fuzzy modeling, which includes fuzzification, inference and defuzzification processes. The procedure proposed allows for automatic determination of optimistic and pessimistic project scenarios with regard to both time and cost, using simple math operators like the arithmetic average and the center of mass. In this way, we obtain the quantified risks associated with time and cost of the project, which allows for comparison of several technologies for implementation of the same project and selection of the most optimum variant.

Project Duration Performance Measurement By Fuzzy Approach Under Uncertainty

In recent years, a various of novel techniques for measuring project performance have been proposed. The Earned Duration Management (EDM) is the most recent technique which uses time-based data exclusively. In this paper, as the uncertainty is inherent in real-life activities, linguistic terms are used to describe progress of activities rather to evaluate it deterministically and a fuzzy approach is applied on EDM methodology. The proposed approach derived development of new fuzzy indices which are capable of measuring project duration performance under uncertainty. A small example illustrates how the proposed model can be employed in reality.

A new comprehensive project scheduling, monitoring, and management framework based on the critical chain under interval type-2 fuzzy uncertainty

Iranian Journal of Fuzzy Systems, 2021

Projects require proper control and management techniques to achieve their defined success criteria. Often projects end in longer periods and higher costs than planned. It is necessary to apply approaches that can keep the project close to its predefined goals and purposes. In this paper, a new framework is presented that is mainly concerned with properly managing project implementation and evaluation. In detail, the method has four main parts. First, a new mathematical programming is offered to address project scheduling. The results of project scheduling are then applied in a critical chain method based approach under interval type-2 fuzzy uncertainty in the second part to both enhance project scheduling and address uncertainty. The third part of the approach is developed to monitor the project implementation process, and new thresholds are defined to discuss corrective measures when necessary. Finally, the fourth part of the approach is designed to evaluate project implementation and reach an understanding of how the project is implemented. To display the applicability of the approach, a practical example is solved, and the process is step by step presented along with the comparative analysis.

Combination of Program Evaluation and Review Technique Pert and Critical Path Method CPM for Project Schedule Development

International Journal of Integrated Engineering, 2020

One of the problems faced by the contractors is an inappropriate scheduling method. For project scheduling, the contractor using Bar chart. Although this method still can be used, but in its application is limited to scheduling large-scale projects, because this method cannot describe the interdependence of activity. The problem can be solved using Program Evaluation and Review Technique (PERT) and Critical Path Method (CPM). PERT is a method that can be used to estimate the duration of activity and can calculate the probability of project time completion, while CPM is a scheduling method used to find the path of critical path and can describe the relationship between activities. Scheduling results using CPM found that the minimum duration to complete the project was 135 days with 20 activities on the critical path with 50% project probability. Further analysis using PERT found that for a greater probability of the project completion was 68% for 139.78 days duration, 95% for 144.56 days, and 99.7% for 149.34 days.