Solving stochastic resource-constrained project scheduling problems by closed-loop approximate dynamic programming

Project scheduling problems with both resource constraints and uncertain task durations have applications in a variety of industries. While the existing research literature has been focusing on finding an a priori open-loop task sequence that minimizes the expected makespan, finding a dynamic and ad...

Full description

Saved in:

Bibliographic Details
Published in:	European journal of operational research Vol. 246; no. 1; pp. 20 - 33
Main Authors:	Li, Haitao, Womer, Norman K.
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.10.2015 Elsevier Sequoia S.A
Subjects:	Algorithms Approximate dynamic programming Approximation Dynamic programming Heuristic Project management Resource-constrained project scheduling Scheduling algorithms Simulation Stochastic models Stochastic scheduling Studies Uncertain task durations Uncertain task durations Stochastic scheduling Approximate dynamic programming Resource-constrained project scheduling Simulation
ISSN:	0377-2217, 1872-6860
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!