Published in: 14th International Industrial Engineering Conference
COI code: IIEC14_043
Paper Language: English
How to Download This Paper
For Downloading the Fulltext of CIVILICA papers please visit the orginal Persian Section of website.
Authors Mixed-model two-side type II robotic assembly line balancing using particle swarm optimization with negative knowledgea Zabihian - Department of Industrial Engineering, University of Tehran, Tehran, Iran
f jolai - Department of Industrial Engineering, University of Tehran, Tehran, Iran
m Rabbani - Department of Industrial Engineering, University of Tehran, Tehran, Iran
h Farrokhi-Asl - School of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran
Abstract:Assembly line balancing problem is one of most important problem for manufacturing process. In this paper, we consider a mixed-model two-side type II robotic assembly line balancing. Robot plays important role in assembly line balancing which has some advantage. Also, we consider a two-side line balancing that it uses for a large size and high volume of product, such as automobiles, trucks, and buses. In this paper, we consider 3 objective function that they should be minimize, the first one is setup cost of robots, the second one is purchasing robots cost and the last one is cycle time that we want to minimize them. Our problem in this paper is a NP-hard problem according our explanation. So, consider a mathematical model for solving them we consider two multi-objectives evolutionary algorithm. The first one is multi objective particle swarm optimization (MOPSO) and the second one is multi objective particle swarm optimization with negative knowledge (MOPSONK). At the end, we represent the result of ourproblem solving and we compare them together
Keywords:Assembly line balancing; Mixed-model; Two-side; Multi-Objective Particle Swarm Optimization
COI code: IIEC14_043
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Zabihian, a; f jolai; m Rabbani & h Farrokhi-Asl, 2017, Mixed-model two-side type II robotic assembly line balancing using particle swarm optimization with negative knowledge, 14th International Industrial Engineering Conference, تهران, انجمن مهندسي صنايع ايران - دانشگاه علم و صنعت ايران, https://www.civilica.com/Paper-IIEC14-IIEC14_043.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Zabihian, a; f jolai; m Rabbani & h Farrokhi-Asl, 2017)
Second and more: (Zabihian; jolai; Rabbani & Farrokhi-Asl, 2017)
For a complete overview of how to citation please review the following CIVILICA Guide (Citation)
The University/Research Center Information:
Type: state university
Paper No.: 55403
in University Ranking and Scientometrics the Iranian universities and research centers are evaluated based on scientific papers.
Research Info Management
Export Citation info of this paper to research management softwares
New Related Papers
- Minimizing the number of tardy jobs in stochastic setting using chance constrained programming
- Economy transition system appropriate for Iran
- Utilization of sequencing problem with late work criteria in operational level of supply chain:Linearization approach
- One-by-one or altogether: The advantages of pursuing alternative innovation activities
- Time Variant Fuzzy Time Series Approach for Forecasting Using Particle Swarm Optimization
The Above articles are recently indexed in the related subjects
Iran Scientific Advertisment Netword
Share this paper
WHAT IS COI?
COI is a national code dedicated to all Iranian Conference and Journal Papers. the COI of each paper can be verified online.