A literature review on assembly line optimization using data structure algorithm

Milind Patil 1, Swapnil Deokar 1, * and Ashish Joshi 2

1 Department of Mechanical Engineering, Smt.Kashibai Navale Collage of Engineering, Pune, India.
2 Department of Industrial Engineering, Knorr-Bremse Systems for commercial vehicle Pvt, Ltd Pune, India.
 
Review
International Journal of Science and Research Archive, 2024, 11(01), 2279–2289.
Article DOI: 10.30574/ijsra.2024.11.1.0307
Publication history: 
Received on 07 January 2024; revised on 16 February 2024; accepted on 19 February 2024
 
Abstract: 
In the automotive industry and other manufacturing sectors, a final assembly line is responsible for assembling different components of a product in the production system. The productivity of a manufacturing process is determined by its duration, the quantity of workstations employed, and the proficiency of its operators. Therefore, in order to effectively oversee or rival several industrial sectors, or to enhance efficiency in a certain assembly line to uphold productivity. This study details the enhancement process of a four-circuit pressure valve assembly line through the utilization of simulation approaches. This study proposes the utilization of data structure as a means to enhance the efficiency of assembly line operations. The main objectives of this program are to reduce workstation operations and enhance product output, as well as to offer recommendations for optimizing the manufacturing process to attain superior outcomes. The study utilized qualitative methodologies, whereby the procedural sequence was observed and data was gathered in accordance with the data framework specifications. The data structure was built using the collected data, followed by analysis of the results. Subsequently, new simulations were developed, incorporating improvements, to finalize the outputs.
 
Keywords: 
Productivity; Assembly line optimization; Manufacturing process, Random Start of Shortest Distance Permutation algorithm; Traveling Salesman Problem
 
Full text article in PDF: 
 
Copyright information: 

Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0