The Experts below are selected from a list of 57699 Experts worldwide ranked by ideXlab platform
Mohamed Haouari - One of the best experts on this subject based on the ideXlab platform.
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a bi objective model for robust resource constrained Project scheduling
International Journal of Production Economics, 2005Co-Authors: M A Alfawzan, Mohamed HaouariAbstract:Abstract A common problem which arises in Project management is the fact that the planned Schedule is often disrupted by several uncontrollable factors like additional time that might be required for rework and correction of detected defects. As a result, Project managers are often unable to meet the promised completion dates. It is therefore vital to take into account such possible disruptions and their potential negative consequences at the Project Schedule design stage. In this paper, we address the issue of designing a Project Schedule which is not only short in time, but also less vulnerable to disruptions due to reworks and other undesirable conditions. To that aim, we introduce the concept of Schedule robustness and we develop a bi-objective resource-constrained Project scheduling model. We consider the objectives of robustness maximization along with makespan minimization. We develop a tabu search algorithm in order to generate an approximate set of efficient solutions. Several variants of the algorithm are tested and compared on a large set of benchmark problems.
M A Alfawzan - One of the best experts on this subject based on the ideXlab platform.
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a bi objective model for robust resource constrained Project scheduling
International Journal of Production Economics, 2005Co-Authors: M A Alfawzan, Mohamed HaouariAbstract:Abstract A common problem which arises in Project management is the fact that the planned Schedule is often disrupted by several uncontrollable factors like additional time that might be required for rework and correction of detected defects. As a result, Project managers are often unable to meet the promised completion dates. It is therefore vital to take into account such possible disruptions and their potential negative consequences at the Project Schedule design stage. In this paper, we address the issue of designing a Project Schedule which is not only short in time, but also less vulnerable to disruptions due to reworks and other undesirable conditions. To that aim, we introduce the concept of Schedule robustness and we develop a bi-objective resource-constrained Project scheduling model. We consider the objectives of robustness maximization along with makespan minimization. We develop a tabu search algorithm in order to generate an approximate set of efficient solutions. Several variants of the algorithm are tested and compared on a large set of benchmark problems.
Dorota Kuchta - One of the best experts on this subject based on the ideXlab platform.
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a note on the paper by m a al fawzan and m haouari about a bi objective problem for robust resource constrained Project scheduling
International Journal of Production Economics, 2007Co-Authors: Przemyslaw Kobylanski, Dorota KuchtaAbstract:Abstract The Project Schedule robustness measure proposed by Al-Fawzan and Haouari is considered. The deficiency of this criterion is proven. Two new criteria are proposed.
Frank Padberg - One of the best experts on this subject based on the ideXlab platform.
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on the potential of process simulation in software Project Schedule optimization
Computer Software and Applications Conference, 2005Co-Authors: Frank PadbergAbstract:In this paper, we highlight the application potential of process simulation techniques for software cybernetics research. Software engineering has seen many fruitful applications of simulation when modeling, understanding, and improving the software development process. In particular, process simulation has proven to be a valuable and efficient tool in our own software cybernetics research, having helped us to understand how scheduling policies actually behave in our discrete-time Markov decision process model for software Projects. We outline how to advance the use of process simulation in our model to a much higher level: when computing optimal scheduling policies, simulation can be applied in the optimization step of the dynamic programming algorithms in order to save computation time. This approach resembles optimization techniques from the field of reinforcement learning, providing further evidence of the potential of simulation in software cybernetics.
Przemyslaw Kobylanski - One of the best experts on this subject based on the ideXlab platform.
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a note on the paper by m a al fawzan and m haouari about a bi objective problem for robust resource constrained Project scheduling
International Journal of Production Economics, 2007Co-Authors: Przemyslaw Kobylanski, Dorota KuchtaAbstract:Abstract The Project Schedule robustness measure proposed by Al-Fawzan and Haouari is considered. The deficiency of this criterion is proven. Two new criteria are proposed.
