scholarly journals A Novel Hybrid Metaheuristic for Solving Automobile Part Delivery Logistics With Clustering Customer Distribution

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 106075-106091 ◽  
Author(s):  
Rui Xu ◽  
Rui Guo ◽  
Qiong Jia
Keyword(s):  
Automobile Part ◽  
Hybrid Metaheuristic

Risk Factor Assessment Using Surface Electromyography and Electrogoniometer among Automobile Part Manufacturers

2005 ◽  
Vol 17 (4) ◽  
pp. 267
Author(s):  
Dongmug Kang ◽  
Cheol Ho Yee ◽  
Yong Chul Shin ◽  
Eun A Kim ◽  
Ji Hoon Woo ◽  
...  
Keyword(s):  
Risk Factor ◽  
Surface Electromyography ◽  
Automobile Part ◽  
Risk Factor Assessment

Simulation of steel–concrete composite floor system behavior at elevated temperatures via multi-hybrid metaheuristic framework

2021 ◽  
Author(s):  
Armin Morasaei ◽  
Aria Ghabussi ◽  
Soheila Aghlmand ◽  
Maziar Yazdani ◽  
Shahrizan Baharom ◽  
...  
Keyword(s):  
Elevated Temperatures ◽  
System Behavior ◽  
Hybrid Metaheuristic ◽  
Floor System

scholarly journals A hybrid metaheuristic for solving asymmetric distance-constrained vehicle routing problem

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Ha-Bang Ban ◽  
Phuong Khanh Nguyen
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Natural Extension ◽  
Solution Space ◽  
Neighborhood Search ◽  
Np Hard ◽  
Routing Problem ◽  
Hybrid Metaheuristic ◽  
Asymmetric Distance ◽  
Constrained Vehicle Routing

AbstractThe Asymmetric Distance-Constrained Vehicle Routing Problem (ADVRP) is NP-hard as it is a natural extension of the NP-hard Vehicle Routing Problem. In ADVRP problem, each customer is visited exactly once by a vehicle; every tour starts and ends at a depot; and the traveled distance by each vehicle is not allowed to exceed a predetermined limit. We propose a hybrid metaheuristic algorithm combining the Randomized Variable Neighborhood Search (RVNS) and the Tabu Search (TS) to solve the problem. The combination of multiple neighborhoods and tabu mechanism is used for their capacity to escape local optima while exploring the solution space. Furthermore, the intensification and diversification phases are also included to deliver optimized and diversified solutions. Extensive numerical experiments and comparisons with all the state-of-the-art algorithms show that the proposed method is highly competitive in terms of solution quality and computation time, providing new best solutions for a number of instances.

Analysis of HPDC Process with Automobile Part (Oil Pan) by CAE Simulation

2013 ◽  
Vol 753-755 ◽  
pp. 1318-1323 ◽  
Author(s):  
Kwang Kyu Seo ◽  
Hong Kyu Kwon
Keyword(s):  
Die Casting ◽  
Simulation Software ◽  
Filling Process ◽  
Solidification Shrinkage ◽  
Automobile Part ◽  
Computer Aided ◽  
Gate System ◽  
Simulation Results ◽  
Casting Design ◽  
Cae Simulation

In this research, Computer Aided Engineering (CAE) simulation was performed by using the simulation software (AnyCasting) in order to optimize casting design of an automobile part (Oil Pan_7G9E) which is well known and complicated to achieve a good casting layout. The simulation results were analyzed and compared carefully in order to apply them into the production die-casting mold. During the filling process, internal porosities caused by air entrap were predicted and reduced remarkably by the modification of the gate system and the configuration of overflow. With the solidification analysis, internal porosities caused by the solidification shrinkage were predicted and reduced by the modification of the gate system.

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