A self-adaptive hyper-heuristic based multi-objective optimisation approach for integrated supply chain scheduling problems
Recent global changes have prompted manufacturers to shift their production systems to
make-to-order (MTO) supply chain (SC), enabling them to adapt customised customer …
make-to-order (MTO) supply chain (SC), enabling them to adapt customised customer …
A reinforcement learning based multi-method approach for stochastic resource constrained project scheduling problems
Abstract The Resource-Constrained Project Scheduling Problem (RCPSP) has been widely
accepted as a challenging research topic due to its NP-hard nature. Because of the dynamic …
accepted as a challenging research topic due to its NP-hard nature. Because of the dynamic …
A genetic algorithm for proactive project scheduling with resource transfer times
Z Ma, W Zheng, Z He, N Wang, X Hu - Computers & Industrial Engineering, 2022 - Elsevier
In this paper, we investigate the proactive resource-constrained project scheduling problem
with resource transfer times under uncertain environment, aiming to generate robust …
with resource transfer times under uncertain environment, aiming to generate robust …
A hybrid metaheuristic algorithm for resource-constrained proactive project scheduling with uncertainty-handling effort
X Cui, Z He, N Wang, W Zheng - Computers & Industrial Engineering, 2023 - Elsevier
This paper addresses a resource-constrained proactive project scheduling problem, where
activity durations are stochastic variables and uncertainty-handling effort is devoted to …
activity durations are stochastic variables and uncertainty-handling effort is devoted to …
Resilient scheduling as a response to uncertainty in construction projects
Complex construction projects are developed in a dynamic environment, where uncertainty
conditions have a great potential to affect project deliverables. In an attempt to efficiently …
conditions have a great potential to affect project deliverables. In an attempt to efficiently …
Aleatory uncertainty quantification of project resources and its application to project scheduling
The extant literature offers little basis for uncertainty analysis of resource acquisition in
project management. Within the spirit of reliability theory, the present paper attempts to fill …
project management. Within the spirit of reliability theory, the present paper attempts to fill …
Generating a robust baseline schedule for the robust discrete time/resource trade-off problem under work content uncertainty
W Tian, Y Zhao, E Demeulemeester - Computers & Operations Research, 2022 - Elsevier
As a subproblem of the multi-mode resource-constrained project scheduling problem, the
discrete time/resource trade-off problem (DTRTP) has occurred widely in practice. This …
discrete time/resource trade-off problem (DTRTP) has occurred widely in practice. This …
Robustness prediction in dynamic production processes—a new surrogate measure based on regression machine learning
This feasibility study utilized regression models to predict makespan robustness in dynamic
production processes with uncertain processing times. Previous methods for robustness …
production processes with uncertain processing times. Previous methods for robustness …
A new surrogate measure for resilient approach to construction scheduling
Complex construction projects are prone to inherent uncertainty which stems from internal
and external project factors. As a response to prevailing uncertainty, a new resource …
and external project factors. As a response to prevailing uncertainty, a new resource …
A new resource buffer insertion approach for proactive resource investment problem
The majority of research has concentrated on the creation of robust schedules to manage
the uncertainties and disruptions that called pro-active scheduling. Different from previous …
the uncertainties and disruptions that called pro-active scheduling. Different from previous …