Development of Fuzzy Logic model for Project Management Success (PMS)


Ashwani Kharola and Dr. SB Singh 

Institute of Technology Management (ITM)

Defence R&D Organisation

Ministry of Defence, Government of India

Uttarakhand, India


The most critical and challenging task of Project Manager in an organization is the successful management of projects. However, failure in managing projects is encountered regularly, which causes waste of company resources. The aim of this research is to simultaneously optimise the time, the cost, the quality, the scope and the PMS of a project and hence providing an aid to project manager in taking effective decisions.

In this paper a Fuzzy logic Matlab model for PMS is developed. A stage wise fuzzy reasoning approach is used as it reduces the fuzzy if-then rules making the system less complex. A set of examples are given at the end to show the applicability and validity of the proposed methodology. 

Keywords: PMS, PM, Matlab, Simulink, Fuzzy Inference System (FIS) 

1.0 Introduction

Project Management (PM) has evolved as a new management technique/methodology in the last fifty odd years. The use of PM helps organization to face with new challenges. Unfortunately PM has been considered as too complicated which results in frequent misunderstanding and poor practices in organizations [1]. Large scale of Engineering and Management projects has dominated PM up to a vast extent. Effective management of projects is crucial for the development and survival of any economy because development is about growth and growth is about series of successful managed projects [2].

According to A Guide to the PM Body of Knowledge [3],” PM is the application of knowledge, skills, tools and techniques to project activities in order to meet or exceed stakeholder needs and expectations from a project. Meeting or exceeding stakeholder needs and expectations invariably involves balancing competing demands among: 1. Scope, time, cost and quality, 2. Stakeholders with differing needs and expectations, 3. Identified requirement (needs)and unidentified requirements (expectations)”[3]. PM includes the process to ensure that the project will satisfy the needs for which it was taken [4]. It involves a team of people which in a controlled manner defines a desired objective or goal.

A project, no matter the size or magnitude, must be completed under certain constraints [5]. The “Triple constraints of PM” or “The PM triangle” are as follows: Scope-project size, goals and deliverables, Time- time frame available to complete the project, Cost-amount budget for the project. The PMS is impacted by balancing Scope, Time and Cost. High quality projects delivers the required product, service with scope, on time and within budget, leading to Project Success. In project management environment time-cost-quality trade off problem is a multi-objective optimisation problem, which mainly focuses on selecting nodes with their corresponding time, cost and quality for a task to minimize project completion time and cost, while project quality is maximised leading to Project Success.

In this paper we have considered following constraints i.e. cost, time, scope and quality which determines PMS. This paper has been divided into five parts. Part I gives the general introduction of PM. Part II defines fuzzy reasoning approach in PM. Part III comprises of Modelling and simulation. Part IV gives Results. Part V and Part VI Conclusion and References respectively. 


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About the Authors

flag-indiapmwj18-jan2014-kharola-singh-PHOTO1 KHAROLAAshwani Kharola

Ministry of Defence

Government of India

Mr Ashwani Kharola, Government of India, Ministry of Defence, ITM (DRDO), Mussoorie, India, is presently serving as Research Scholar (JRF) in ITM. He is Mechanical Engineer and has completed M. tech (honours) in CAD/CAM & Robotics and B.tech (honours) in Mechanical Engineering. He can be contacted at [email protected].

flag-indiapmwj18-jan2014-kharola-singh-PHOTO2 SINGHDr SB Singh

Ministry of Defence

Government of India

Dr SB Singh, Scientist ‘G’, Government of India, Ministry of Defence, ITM (DRDO), Mussoorie, India, is presently serving as Director of ITM (DRDO).  He is a Metallurgical Engineer and has obtained Phd in Metallurgical Engineering from IIT Kharagpur. He has published 34 technical papers in National and International Journals. He has been serving DRDO for more than last 31 years. Dr Singh can be contacted at [email protected].