Using fuzzy decision making for the evaluation of the project management internal efficiency (original) (raw)
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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.
arXiv (Cornell University), 2024
It is well known over the recent years that measuring the success of projects under the umbrella of project management is inextricably linked with the associated cost, time, and quality. Most of the previous researches in the field assigned a separate mathematical model for each criterion, then numerical methods or search techniques were applied to obtain the optimal trade-off between the three criteria. However in this paper, the problem was addressed by linear multiobjective optimization using only one fuzzy mathematical model. The three criteria were merged in a single non-linear membership function to find the optimal trade-off. Finally, the proposed model is tested and validated using numerical examples.
A Fuzzy Approach for Measuring Project Performance Based on Relative Preference Relation
Industrial Engineering & Management Systems, 2017
Earned Duration Management (EDM) is the most recent methodology for project management that unlike former techniques, measures project performance using time-based data, In contrast to former techniques. This difference generates more realistic consequences in performance estimation and measurement. The novel approach which has been proposed in this paper aims to measure project performance by applying EDM techniques under uncertain conditions based on fuzzy theory. In this regard, we applied linguistic terms to express activities' progress and developed EDM metrics to fuzzy performance and estimation indices which are capable of measuring performance under uncertain condition. In order to rank fuzzy numbers, a new method based on relative preference relation has been used, which has been clarified by a real sample case in road construction projects.
NIPES Journal of Science and Technology Research , 2020
Project management requires analysis of various uncertain variables and it is vital that the best techniques that are capable of providing the most accurate results are employed. Fuzzy Logic is one of those techniques; it has the capability of significantly improving the activities of project managers. This paper describes how Fuzzy Logic can be applied in the area of construction, project monitory and control which is based on observations made from the project environment of some firms in Lagos State. The data obtained from the administered questionnaire was analyzed through descriptive and factor analysis. The analysis shows that Fuzzy has significant effect on project management control. It was also observed that application of Fuzzy Logic in project management has not been considered in most firms in the country as the traditional methods such as Critical Path Analysis, PERT. are still well utilized which have numerous problems in areas such as the beta distribution and stochastic variables as well as the estimation of parameters (expected duration and variance) hence, the need for improvement.
Fuzzy Logic System for IT Project Management
2020
Decision-making processes in IT project management occur, as a rule, in conditions of risk and uncertainty. Therefore, it is advisable to use methods based on fuzzy logic. The authors propose to analyze the influence of both external and internal factors on the time of the project, financial, human resources, on the timeliness of project completion. The developed fuzzy IT project management system consists of subsystems that can be considered as separate self-sufficient parts. The proposed method enabling the project managers to assess the impact of project environment factors on human and financial resources, the duration of individual works and the project as a whole, and create the basis for proactive changes in project activities.
Journal of Project Management
Among different factors, correct scheduling is one of the vital elements for project management success. There are several ways to schedule projects including the Critical Path Method (CPM) and Program Evaluation and Review Technique (PERT). Due to problems in estimating durations of activities, these methods cannot accurately and completely model actual projects. The use of fuzzy theory is a basic way to improve scheduling and deal with such problems. Fuzzy theory approximates project scheduling models to reality by taking into account uncertainties in decision parameters and expert experience and mental models. This paper provides a step-bystep approach for accurate estimation of time and cost of projects using the Project Evaluation and Review Technique (PERT) and expert views as fuzzy numbers. The proposed method included several steps. In the first step, the necessary information for project time and cost is estimated using the Critical Path Method (CPM) and the Project Evaluation and Review Technique (PERT). The second step considers the duration and cost of the project activities as the trapezoidal fuzzy numbers, and then, the time and cost of the project are recalculated. The duration and cost of activities are estimated using the questionnaires as well as weighing the expert opinions, averaging and defuzzification based on a step-by-step algorithm. The calculating procedures for evaluating these methods are applied in a real project; and the obtained results are explained.
MODEL AND METHOD FOR SYNTHESIS OF PROJECT MANAGEMENT METHODOLOGY WITH FUZZY INPUT DATA
Literature analysis concerning the selection or creation a project management methodology is performed. Creating a "complete" methodology is proposed which can be applied for managing projects with any complexity, various degrees of responsibility for results and different predictability of the requirements. For the formation of a "complete" methodology, it is proposed to take the PMBOK standard as the basis, which would be supplemented by processes of the most demanding plan driven and flexible Agile Methodologies. For each knowledge area of the PMBOK standard, the following groups of processes should be provided: initiation, planning, execution, reporting and forecasting, controlling, analysis, decision making and closing. The method for generating a methodology for the specific project is presented. The multiple criteria mathematical model and method are developed for synthesis of methodology when initial data about the project and its environment are fuzzy.
Evaluating project management criteria using fuzzy analytic hierarchy Process
2019
Project management is one of the most important issues to fulfil organizational objectives. The project management criteria are playing a vital role for completion of any project. The aim of this paper is to evaluate five main project criteria (time, cost, quality, risk, and safety) mathematically by using a multi-criteria method in order to assist stakeholders or project managers in decision-making. The fuzzy Analytic Hierarchy Process (AHP) is selected with the use of triangular fuzzy numbers for pairwise comparison scales in prioritizing the criteria in managing projects. Utilizing the fuzzy AHP technique can facilitate uncertainty in doing evaluation. In this study, one expert who is a project manager with many years of experience was asked to carry out the evaluation. The results show that the expert’s main concern in managing project is time, and cost is the second important. The study demonstrates how uncertainty in making evaluation of multiple criteria can be solved by using fuzzy method such as fuzzy AHP, in contrary to the crisp or the traditional AHP which is based on specific values, the evaluator(s) are always ambiguous and vague to give exact judgment. Hence, the application of this fuzzy method can make the assessment outcomes more accurate, scientific, and objective. It is anticipated that this work may serve as a support tool for stakeholders in improving the project management quality level.
Performance Measurement of Project Management by Using Fanp Balanced Scorecard
2016
The Project management (PM) is the implementation of knowledge, processes, tools, and techniques which is needed to manage business processes to create unique product or service. The PM has complexly business process, for monitoring performance of all PM activity be completely and align with business strategy is needed high effort. For this reason, we propose method to measure project performance by using Balanced ScoreCard (BSC) strategy, where keys performance source of BSC is produced by Project Integration Management (PIM). Where the PIM is one of the domains in PM to consolidate other domains activities, they are cost, time, procurement, communication, and also risk management. Inorder to compute Key Performance Indicator (KPI) in many perspective quadrants of BSC, we need computation method to measure priority and weighting value of PIM performance, on this study we use Fuzzy Analytical Network Processing (FANP) to measure qualitative and quantitave by comparing weighting prio...
Multi-criteria performance analysis for decision making in project management
International Journal of Project Management, 2011
This study is focused on decision support in the context of product and service development projects. Decision support requires the capacity to characterize the current state of the project (performance evaluation) and the decision-maker's point of view. However, the different projects' stakeholders do not have the same needs in terms of performance evaluation to support their decision-making processes. Furthermore, in some cases controlling project performance using the elementary components of the Iron Triangle (Cost, Time and Quality) alone seems inefficient. This paper proposes a new multi-dimensional Project Performance Measurement System that would enable managers to deal with the volume of data. The proposition integrates the only character of each project (tasks, objectives, decision-makers personality and competences), several good practices in terms of universal project management dimensions on the one hand, and in terms of performance analysis on the other hand. Then, we show how an aggregation tool called MACBETH is used to analyze the performance measures according to project managers' own performance interests. A case study illustrates the proposed system.