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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Adham, A.A.J. Tahar, R.B.M. |
| Copyright Year | 2012 |
| Description | Author affiliation: Faculty of Technology, University Malaysia Pahang, Kuantan 26300, Malaysia (Tahar, R.B.M.) || Faculty of Technology, University Malaysia Pahang, Kuantan, 26300, Malaysia (Adham, A.A.J.) |
| Abstract | Automobile manufacturing is one of the most important industries in the world. Assembly line is one of the main supply chain of the industry. It contains several workshops and stations where each station consists of many different tasks. These tasks are processed by workers using tools and machines. The unbalancing time is the main problem of the assembly line. This issue presented by the Cycle Time station (CTs) which is unequal among stations that resulted in queuing and idle time which inhabit the productivity of the assembly line. In this study, Multi-Objectives Model (MOM) and Genetic Algorithm System (GAs) are combined to form (MOGA) in order to solve the assembly line issues. The Fuzzy Logical Control (FLC) organizes an application of the MOGA to solve the Assembly Line Unbalancing (ALB). The new technique in this study is use to develop the efficiency of the assembly line and to solve the unbalancing problem among stations. The developed MOGA will increase the volume of the production and reduce the queuing and the idle time and maximizing the productions by increase the efficiency of working time. In addition, the models will be redistributed the responsibilities to the workers to minimize the queuing and idle time among the stations and append new workers to obtain the optimum balance. The modern approach will obtain an optimum balance and enhances the efficiency of the assembly line. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 924721 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781467315074 |
| ISSN | 10987584 |
| e-ISBN | 9781467315067 |
| e-ISBN | 9781467315050 |
| DOI | 10.1109/FUZZ-IEEE.2012.6250823 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-10 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Assembly Moment methods Equations Mathematical model Production Conferences Fuzzy logic process management Assembly line balancing (ALB) multi-objective genetic algorithm (MOGA) fuzzy logic controller (FLC) worker allocation hybrid assembly line |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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