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Article

1 Citations

2,679 Views

17 Pages

Dealing with Uncertainty in the MRCPSP/Max Using Discrete Differential Evolution and Entropy

Angela Hsiang-Ling Chen,
Yun-Chia Liang and
José David Padilla

Appl. Sci.2022, 12(6), 3049;https://doi.org/10.3390/app12063049

16 March 2022

In this paper, we investigate the characterization of MRCPSP/max under uncertainty conditions and emphasize managerial ability to recognize and handle positively disruptive events. This proposition is then demonstrated using the entropy approach to f...

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Article

4 Citations

6,690 Views

19 Pages

A Practical and Robust Execution Time-Frame Procedure for the Multi-Mode Resource-Constrained Project Scheduling Problem with Minimal and Maximal Time Lags

Angela Hsiang-Ling Chen,
Yun-Chia Liang and
Jose David Padilla

Algorithms2016, 9(4), 63;https://doi.org/10.3390/a9040063

24 September 2016

Modeling and optimizing organizational processes, such as the one represented by the Resource-Constrained Project Scheduling Problem (RCPSP), improve outcomes. Based on assumptions and simplification, this model tackles the allocation of resources so...

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Article

19 Citations

7,742 Views

36 Pages

An Entropy-Based Upper Bound Methodology for Robust Predictive Multi-Mode RCPSP Schedules

Angela Hsiang-Ling Chen,
Yun-Chia Liang and
Jose David Padilla

Entropy2014, 16(9), 5032-5067;https://doi.org/10.3390/e16095032

22 September 2014

Projects are an important part of our activities and regardless of their magnitude, scheduling is at the very core of every project. In an ideal world makespan minimization, which is the most commonly sought objective, would give us an advantage. How...

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