A framework for enhanced project schedule design to aid project manager's decision making processes

Good schedule increases the chances of a project meeting its goals. The most popular formalisms for describing project schedules are very rigid and inflexible in modeling changes due to uncertainties. In this paper we describe a framework to support enhanced project schedule design. The proposed framework is based on the Enhanced Project Schedule (EPS) model. In addition to an initial Gantt Chart, EPS allows definition of Remedial Action Scenarios (RAS), which contain guidelines of actions to consider when uncertainties arise. This creates a dynamic and evolving schedule. It is meant to guide the project manager in the decision making processes throughout the project implementation. The process of selection of the remedial action scenario is an optimization one, based on simulation. We illustrate the dynamics of the EPS design framework by an example.

[1]  Rabeb Mizouni,et al.  Modeling Human Decision Behaviors for Accurate Prediction of Project Schedule Duration , 2010, EOMAS.

[2]  Graham Horton A NEW PARADIGM FOR THE NUMERICAL SIMULATION OF STOCHASTIC PETRI NETS WITH GENERAL FIRING TIMES , 2002 .

[3]  Graham Horton,et al.  COMBINING PROXELS AND DISCRETE PHASES , 2005 .

[4]  D. Cox The analysis of non-Markovian stochastic processes by the inclusion of supplementary variables , 1955, Mathematical Proceedings of the Cambridge Philosophical Society.

[5]  Joseph G. Szmerekovsky,et al.  Scheduling projects with stochastic activity duration to maximize expected net present value , 2009, Eur. J. Oper. Res..

[6]  Peter J. Denning,et al.  The profession of ITIs software engineering engineering? , 2009, CACM.

[7]  Jing-wen Zhang,et al.  Multi-Mode Double Resource-Constrained Time/Cost Trade-Offs Project Scheduling Problems , 2009, 2009 International Conference on Management and Service Science.

[8]  Rabeb Mizouni,et al.  Floating Task: Introducing and Simulating a Higher Degree of Uncertainty in Project Schedules , 2010, 2010 19th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises.

[9]  Jan Van Damme,et al.  Project scheduling under uncertainty survey and research potentials , 2002 .

[10]  T. Allan Smith,et al.  Cyril and Methodius , 2012 .

[11]  William J. Stewart,et al.  Introduction to the numerical solution of Markov Chains , 1994 .

[12]  Fritz Krafft,et al.  Otto von Guericke , 1978 .

[13]  Sanja Lazarova-Molnar The proxel-based method , 2005 .

[14]  Wei Huang,et al.  Project Scheduling Problem for Software Development with Random Fuzzy Activity Duration Times , 2009, ISNN.

[15]  José Manuel Galán,et al.  Multi-agent technology for scheduling and control projects in multi-project environments. An Auction based approach , 2009, Inteligencia Artif..

[16]  Nadim F. Matta,et al.  Why good projects fail anyway. , 2003, Harvard business review.