flow shop - Globe Thesis

Keyword [flow shop] Result: 181 - 200 \| Page: 10 of 10
181.	Research On Modeling And Optimization Algorithms Of Hybrid Flow Shop Scheduling With Deterioration And Learning Effect
182.	Analysis And Application Of Optimal Execution Sequence In Automated Manufacturing Systems
183.	Energy Saving Scheduling Problem Of Flow Shop Considering On-off Strategy And Variable Machine Speed
184.	Study On The Optimization Of No-Idle Flow Shop Scheduling Considering Tardiness And Energy Consumption
185.	Energy Efficiency Optimization Flow Shop Scheduling Algorithm Based On Intelligent Evolutionary Algorith
186.	Research On Flow Shop Scheduling With Buffer Based On Improved Ant Colony Algorithm
187.	Research On Mixed No-wait Flexible Flow Shop Scheduling Problem
188.	Research On Green Scheduling Of Hybrid Flow Shop Based On Multi-Objective Discrete Grey Wolf Optimization Algorithm
189.	An Improved Moth-flame Optimization Algorithm For A Lot-streaming Hybrid Flow-shop Scheduling Problem
190.	Multi-Equipment Work Centers For Intelligent Manufacturing And MTO Requirements Scheduling And Optimization Methods
191.	Modeling And Implementation Of Joint Scheduling Of Production And Preventive Maintenance In Hybrid Flow Shop
192.	Research On Two-stage Production Scheduling Optimization Based On ALNS
193.	Research On Permutation Flow-shop Scheduling Based On Improved Particle Swarm Optimization
194.	Research On Green Scheduling Optimization Of Hybrid Flow Shop With Lot Splitting
195.	Research On Distributed Replacement Assembly Workshop Scheduling Based On Improved Artificial Bee Colony Algorithm
196.	Research On Hybrid Particle Swarm Optimization For Distributed Flow Shop Scheduling
197.	Research On Multi-variety And Small-batch Hybrid Flow Shop Dynamic Scheduling Based On IGA
198.	Research Of Workshop Scheduling Based On Improved Artificial Bee Colony Algorithm
199.	Knowledge-driven Artificial Bee Colony Algorithm And Its Application For Heterogeneous Flow-shop Scheduling Problem
200.	The Meta-heuristic Algorithm Based On Learning For The Typical Distributed Shop Scheduling Problem
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