An Entropy-Based Upper Bound Methodology for Robust Predictive Multi-Mode RCPSP Schedules
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. However, every time we execute a project we have to d...
Main Authors: | Angela Hsiang-Ling Chen, Yun-Chia Liang, Jose David Padilla |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2014-09-01
|
Series: | Entropy |
Subjects: | |
Online Access: | http://www.mdpi.com/1099-4300/16/9/5032 |
Similar Items
-
A Practical and Robust Execution Time-Frame Procedure for the Multi-Mode Resource-Constrained Project Scheduling Problem with Minimal and Maximal Time Lags
by: Angela Hsiang-Ling Chen, et al.
Published: (2016-09-01) -
A hybrid approach for solving multi-mode resource-constrained project scheduling problem in construction
by: Rosłon Jerzy Hubert, et al.
Published: (2019-01-01) -
A genetic algorithm-based method for solving multi-mode resource-constrained project scheduling problem in uncertain environment
by: Mohammad Khalilzadeh, et al.
Published: (2020-01-01) -
Evaluation of Train Crews Schedule in Terms of Robustness
by: Wolniewicz Łukasz
Published: (2019-03-01) -
Escalonamento de projetos com restrições de recursos e
múltiplos modos de processamento : soluções heurísticas e uma aplicação à programação de manutenção industrial
by: Cravo, Gildásio Lecchi
Published: (2016)