Z Li, M Ierapetritou - Computers & Chemical Engineering, 2008 - Elsevier
Uncertainty is a very important concern in production scheduling since it can cause infeasibilities and production disturbances. Thus scheduling under uncertainty has received …
Michael L. Pinedo Theory, Algorithms, and Systems Sixth Edition Page 1 Scheduling Michael L. Pinedo Theory, Algorithms, and Systems Sixth Edition Page 2 Scheduling Page 3 Michael L …
Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …
N Balouka, I Cohen - European journal of operational research, 2021 - Elsevier
This paper suggests a robust optimization approach for the multi-mode resource- constrained project scheduling problem with uncertain activity durations. The objective is to …
Ö Hazır, G Ulusoy - International Journal of Production Economics, 2020 - Elsevier
In this paper, we created a classification for major sources of uncertainty in projects and categorized the studies in project scheduling literature with respect to the uncertainty source …
The deep reinforcement learning (DRL) community has published remarkable results on complex strategic planning problems, most famously in virtual scenarios for board and video …
The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen …
This book is about scheduling under uncertainties. However, the problems concern the whole domain of decision aid. Of course, the question of decision aid under unexpected …
X Qi, JF Bard, G Yu - International Journal of Production Economics, 2006 - Elsevier
This paper addresses the problem of updating a machine schedule when either a random or an anticipated disruption occurs after a subset of the jobs has been processed. In such …