Balancing and Scheduling of Flexible Mixed Model Assembly Lines With Parallel Stations

Loading...
Publication Logo

Date

2013

Authors

Tunali, Semra
Örnek, Mustafa Arslan

Journal Title

Journal ISSN

Volume Title

Publisher

Springer London Ltd

Open Access Color

Green Open Access

No

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Top 10%
Influence
Top 10%
Popularity
Top 10%

Research Projects

Journal Issue

Abstract

In this paper, we study flexible mixed model assembly lines with serially connected stages where stages may have one or more parallel stations. Station parallelism in flexible mixed model assembly lines improves system reliability and enables rapid adaptability to customer demand fluctuations. However, in order to effectively manage such lines under real-world conditions, there is a need to extend traditional assembly line management methods. This study extends the current research by simultaneously considering the problems of task assignment and model scheduling on parallel stations. Furthermore, scheduling of assigned tasks on each station is considered. We formulate the problem context first as a mixed integer programming model and then develop a decomposition scheme for large scale applications. Finally, we compare the performance of the proposed model and decomposition scheme using various size test instances.

Description

Keywords

Mixed model assembly lines, Balancing, Scheduling, Flexible manufacturing, Mixed integer programming, System, Algorithms, Design

Fields of Science

0209 industrial biotechnology, 0211 other engineering and technologies, 02 engineering and technology

Citation

WoS Q

Q2

Scopus Q

Q2
OpenCitations Logo
OpenCitations Citation Count
20

Source

Internatıonal Journal of Advanced Manufacturıng Technology

Volume

67

Issue

9.Ara

Start Page

2577

End Page

2591
PlumX Metrics
Citations

CrossRef : 9

Scopus : 24

Captures

Mendeley Readers : 40

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
7.5328

Sustainable Development Goals