Improved moth flame optimization algorithm to optimize cost-oriented two-sided assembly line balancing
This paper aims to propose an improved Moth Flame Optimization (I-MFO) algorithm to optimize the cost-oriented two-sided assembly line balancing (2S-ALB). Prior to the decision to assemble a new product, the manufacturer will carefully study and optimize the related cost to set up and run the assemb...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Emerald Group Publishing Ltd.
2019
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/28785/2/2019%20-%20EC%20-Cost%20oriented%20ALB.pdf http://umpir.ump.edu.my/id/eprint/28785/8/Improved%20moth%20flame%20optimization%20algorithm%20to%20optimize%20cost-oriented%20two-sided%20assembly%20line%20balancing.pdf |
| Summary: | This paper aims to propose an improved Moth Flame Optimization (I-MFO) algorithm to optimize the cost-oriented two-sided assembly line balancing (2S-ALB). Prior to the decision to assemble a new product, the manufacturer will carefully study and optimize the related cost to set up and run the assembly line. For the first time in ALB, the power cost is modeled together with the equipment, set up and labor costs. |
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