EconPapers    
Economics at your fingertips  
 

Trolley Optimisation for Loading Printed Circuit Board Components

Vinod Kumar Chauhan (), Mark Bass (), Ajith Kumar Parlikad () and Alexandra Brintrup ()
Additional contact information
Vinod Kumar Chauhan: University of Cambridge
Mark Bass: Rolls-Royce Headquarters
Ajith Kumar Parlikad: University of Cambridge
Alexandra Brintrup: University of Cambridge

SN Operations Research Forum, 2024, vol. 5, issue 3, 1-17

Abstract: Abstract A trolley is a container for loading printed circuit board (PCB) components, and a trolley optimisation problem (TOP) is an assignment of PCB components to trolleys for use in the production of a set of PCBs in an assembly line. In this paper, we introduce the TOP, a novel operation research application. To formulate the TOP, we derive a novel extension of the bin packing problem. We exploit the problem structure to decompose the TOP into two smaller, identical, and independent problems. Further, we develop a mixed integer linear programming model to solve the TOP and prove that the TOP is an NP-complete problem. A case study of an aerospace manufacturing company is used to illustrate the TOP which successfully automated the manual process in the company and resulted in significant cost reductions and flexibility in the building process.

Keywords: Manufacturing; Printed circuit board; Trolley optimisation; The bin packing problem; Mixed integer linear programming (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s43069-024-00354-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:snopef:v:5:y:2024:i:3:d:10.1007_s43069-024-00354-4

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/43069

DOI: 10.1007/s43069-024-00354-4

Access Statistics for this article

SN Operations Research Forum is currently edited by Marco Lübbecke

More articles in SN Operations Research Forum from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:snopef:v:5:y:2024:i:3:d:10.1007_s43069-024-00354-4