Structure optimisation of coat-hanger die based on the multi-objective and design of experiment analysis

2020 ◽  
Vol 3 (3) ◽  
pp. 206
Author(s):  
Hong Zhang ◽  
Chen Yu Wang ◽  
Yi Chai ◽  
Tian Yuan Guan
Keyword(s):  
Design Of Experiment ◽  
Multi Objective ◽  
Experiment Analysis

A design of experiment analysis of serial EEPROM endurance

1997 ◽  
Vol 37 (3) ◽  
pp. 487-491 ◽  
Author(s):  
D. Wilkie ◽  
R. Drwinga ◽  
E. Eichman ◽  
N. Kunnari ◽  
B. Negley ◽  
...  
Keyword(s):  
Design Of Experiment ◽  
Experiment Analysis

Hybrid Multi-Objective Methods to Solve Reentrant Shops

2012 ◽  
Vol 3 (4) ◽  
pp. 15-32
Author(s):  
Frédéric Dugardin ◽  
Farouk Yalaoui ◽  
Lionel Amodeo
Keyword(s):  
Local Search ◽  
Design Of Experiment ◽  
Completion Time ◽  
Parallel Machines ◽  
Flow Shop ◽  
Hybrid Flow Shop ◽  
Identical Parallel Machines ◽  
Multi Objective ◽  
Local Searches ◽  
Maximum Completion Time

This article examines the multi-objective scheduling of a reentrant hybrid flow shop. This type of shop is composed of several stages made of several identical parallel machines. When a task has to be processed on a stage, it is assigned to the machine with the smallest workload. This problem shows a reentrant structure: each task must be processed several times at each stage. In this paper, this problem is solved by minimizing two objectives: the makespan (maximum completion time of the jobs) and the total tardiness of the tasks. A new method is improved with different local searches: Adjacent and Non Adjacent Pairwise Interchange, Extract and Backward-Shifted Reinsertion, and Extract and Forward-Shifted Reinsertion. Every local search is tuned with statistical method (design of experiment) and the best one is worked out. This method is compared with the best one in several instances. The results involve three different measures.

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