A gamified teaching–learning based optimization algorithm for a three-echelon supply chain scheduling problem in a two-stage assembly flow shop environment
M Rostami, A Yousefzadeh - Applied Soft Computing, 2023 - Elsevier
The supply chain scheduling problem, which is an integrated production scheduling and
distribution through the batch delivery system, has been studied by researchers for more …
distribution through the batch delivery system, has been studied by researchers for more …
Two-machine decentralized flow shop scheduling problem with inter-factory batch delivery system
M Rostami, M Mohammadi - Operational Research, 2024 - Springer
Technological advancement, the emergence of more complex production systems, and the
need for greater manufacturer competition have caused production systems to shift from a …
need for greater manufacturer competition have caused production systems to shift from a …
Dynamic process monitoring using machine learning control charts
Abstract Machine learning methods have been widely used in different applications,
including process control and monitoring. For handling statistical process control (SPC) …
including process control and monitoring. For handling statistical process control (SPC) …
Multi-objective optimization of flexible flow-shop intelligent scheduling based on a hybrid intelligent algorithm
With the complexity of the production process, the mass quantification of production jobs,
and the diversification of production scenarios, research on scheduling problems are bound …
and the diversification of production scenarios, research on scheduling problems are bound …
A Branch and Bound for single machine stochastic batch scheduling with delivery costs. A Chance Constraint approach (Case study in Iran)
H Haddad - Iranian Journal of Optimization, 2021 - ijo.rasht.iau.ir
This paper study a single machine stochastic scheduling problem based on an Iranian real
case study in Saipa company in which the objective is to minimize total completion times …
case study in Saipa company in which the objective is to minimize total completion times …