4.7 Article

Simultaneous balancing and sequencing of mixed-model parallel two-sided assembly lines

Journal

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume 52, Issue 12, Pages 3665-3687

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2013.879618

Keywords

agent-based ant colony optimisation; artificial intelligence; assembly line balancing; meta-heuristics; mixed-model parallel two-sided assembly lines

Funding

  1. Balikesir University
  2. Turkish Council of Higher Education

Ask authors/readers for more resources

Growing interests from customers in customised products and increasing competitions among peers necessitate companies to configure their manufacturing systems more effectively than ever before. We propose a new assembly line system configuration for companies that need intelligent solutions to satisfy customised demands on time with existing resources. A mixed-model parallel two-sided assembly line system is introduced based on the parallel two-sided assembly line system previously proposed in the literature. The mixed-model parallel two-sided assembly line balancing problem is illustrated with examples from the perspective of simultaneous balancing and sequencing. An agent-based ant colony optimisation algorithm is proposed to solve the problem. This algorithm is the first attempt in the literature to solve an assembly line balancing problem with an agent-based ant colony optimisation approach. The algorithm is illustrated with an example and its operational procedures and principles are explained and discussed.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available