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A simulation–optimization model for solving flexible flow shop scheduling problems with rework and transportation
We propose an enhanced multi-objective harmony search (EMOHS) algorithm and a
Gaussian mutation to solve the flexible flow shop scheduling problems with sequence …
Gaussian mutation to solve the flexible flow shop scheduling problems with sequence …
Improved teaching–learning-based and JAYA optimization algorithms for solving flexible flow shop scheduling problems
Flexible flow shop (or a hybrid flow shop) scheduling problem is an extension of classical
flow shop scheduling problem. In a simple flow shop configuration, a job having …
flow shop scheduling problem. In a simple flow shop configuration, a job having …
A sequential hybrid optimization algorithm (SHOA) to solve the hybrid flow shop scheduling problems to minimize carbon footprint
In today's world, a situational awareness of sustainability is becoming increasingly
important. Leaving a better world for future generations is becoming the main interest of …
important. Leaving a better world for future generations is becoming the main interest of …
Selection of resilient supply portfolio under disruption risks in supply chain
Nowadays, dependence of supply chain members while has provided many benefits for
organisations, increases uncertainty and risk in the planning and organising activities. The …
organisations, increases uncertainty and risk in the planning and organising activities. The …
Optimising unrelated parallel machine scheduling in job shops with maximum allowable tardiness limit
Motivated by the practical scheduling problem of job shops, this study evaluates unrelated
parallel machine scheduling models. The researchers proposed a new mixed integer linear …
parallel machine scheduling models. The researchers proposed a new mixed integer linear …
An ACO algorithm for scheduling a flow shop with setup times
A flow shop scheduling problem with setup times has been studied in a food processing
setting. This company packs cooking sauces and spices. The objective is to minimise the …
setting. This company packs cooking sauces and spices. The objective is to minimise the …
Solving multi-objective flexible flow-shop scheduling problem using teaching-learning-based optimisation embedded with maximum deviation theory
Flexible flow-shop scheduling problem (FFSP) is an extended special case of basic flow-
shop scheduling problem (FSP). FFSP is treated as complex NP-hard scheduling problem. A …
shop scheduling problem (FSP). FFSP is treated as complex NP-hard scheduling problem. A …
PSO-based harmony search algorithm to aggregate production planning under possibilistic environment
MS Hossain, KM Islam - International Journal of Services …, 2018 - inderscienceonline.com
This paper develops particle swarm optimisation based harmony search algorithm (PSO-
HSA), a non-traditional optimisation technique to find globally optimised solutions more …
HSA), a non-traditional optimisation technique to find globally optimised solutions more …
Lot streaming of hybrid flowshops with variable lot sizes and eligible machines
EA Zaky, TF Abdelmaguid… - … of Industrial and …, 2023 - inderscienceonline.com
Hybrid flowshops are a special type of manufacturing systems, in which a stage may contain
identical or unrelated parallel machines. This paper deals with a more practical approach for …
identical or unrelated parallel machines. This paper deals with a more practical approach for …
Reentrant hybrid flow shop scheduling problem with non-anticipatory sequence-dependent setup time
L Chen, J Wang, Y Zhu - International Journal of Industrial …, 2020 - inderscienceonline.com
This paper studies a hybrid flow shop scheduling problem originated from a steam turbine
rotor production. Reentrance and non-anticipatory sequence-dependent setup time are …
rotor production. Reentrance and non-anticipatory sequence-dependent setup time are …