On reliability of reinforcement learning based production scheduling systems: a comparative survey
The deep reinforcement learning (DRL) community has published remarkable results on
complex strategic planning problems, most famously in virtual scenarios for board and video …
complex strategic planning problems, most famously in virtual scenarios for board and video …
Scheduling under uncertainty: Survey and research directions
In real-world scheduling problems, several kinds of hard-to-predict risk must be considered.
Scheduling under uncertainty allows these kinds of risks to be taken into account. This paper …
Scheduling under uncertainty allows these kinds of risks to be taken into account. This paper …
Robust and stable flexible job shop scheduling with random machine breakdowns using a hybrid genetic algorithm
This paper addresses the problem of finding robust and stable solutions for the flexible job
shop scheduling problem with random machine breakdowns. A number of bi-objective …
shop scheduling problem with random machine breakdowns. A number of bi-objective …
Robust scheduling for flexible machining job shop subject to machine breakdowns and new job arrivals considering system reusability and task recurrence
J Duan, J Wang - Expert Systems with Applications, 2022 - Elsevier
This paper focuses on the production scheduling problem of flexible job shops. In the
production process of flexible job shop, there are dynamic events such as machine …
production process of flexible job shop, there are dynamic events such as machine …
Robust scheduling based on extreme learning machine for bi-objective flexible job-shop problems with machine breakdowns
Y Yang, M Huang, ZY Wang, QB Zhu - Expert Systems with Applications, 2020 - Elsevier
In modern manufacturing systems, a flexible job-shop schedule problem (FJSP) with random
machine breakdown has been widely studied. Two objectives, namely makespan and …
machine breakdown has been widely studied. Two objectives, namely makespan and …
Project portfolio management: An integrated method for resource planning and scheduling to minimize planning/scheduling-dependent expenses
Z Laslo - International journal of project management, 2010 - Elsevier
It is well known that the progress of R&D projects has more and more begun to rely on the
availability of individual experts who are generally scarce and expensive. The matrix …
availability of individual experts who are generally scarce and expensive. The matrix …
Dynamic optimization of chemotherapy outpatient scheduling with uncertainty
Chemotherapy outpatient scheduling is a complex, dynamic, uncertain problem.
Chemotherapy centres are facing increasing demands and they need to increase their …
Chemotherapy centres are facing increasing demands and they need to increase their …
Maximizing the service level on the makespan in the stochastic flexible job-shop scheduling problem
This paper considers the flexible job-shop scheduling problem with stochastic processing
times. To find a sequence insensitive to shop floor disturbances, the available probabilistic …
times. To find a sequence insensitive to shop floor disturbances, the available probabilistic …
Minimizing earliness and tardiness costs in stochastic scheduling
KR Baker - European Journal of Operational Research, 2014 - Elsevier
We address the single-machine stochastic scheduling problem with an objective of
minimizing total expected earliness and tardiness costs, assuming that processing times …
minimizing total expected earliness and tardiness costs, assuming that processing times …
Optimization of rewards in single machine scheduling in the rewards-driven systems
The single machine scheduling problem aims at obtaining the best sequence for a set of
jobs in a manufacturing system with a single machine. In this paper, we optimize rewards in …
jobs in a manufacturing system with a single machine. In this paper, we optimize rewards in …