Optimization framework for process scheduling of operation‐dependent automobile assembly lines

Optimization framework for process scheduling of operation‐dependent automobile assembly lines

0.00 Avg rating0 Votes
Article ID: iaor20123498
Volume: 6
Issue: 4
Start Page Number: 797
End Page Number: 824
Publication Date: Apr 2012
Journal: Optimization Letters
Authors: , , , , , , ,
Keywords: production
Abstract:

Productivity, cost, and completion time are regarded as performance measures for assembly production management. The traditional decomposition of Assembly Line Balancing (ALB) and Car sequencing (CS) does not work well, especially when operations belonging to different car types are sequence‐dependent and time overlap between two successive workstations is allowed. In this paper, we first use a motivating industrial‐scale example to demonstrate that the traditional ALB/CS decomposition method could not satisfy modern continuous production demands in a flexible assembly line. Then, we present a new optimization objective to scale the Operation Process Precision (OPP) that relates to the operation assignment sequence. Lastly, we propose a two‐stage hierarchical optimization framework to solve the CS, the operation allocation, and the operation sequence problems. This framework consists of (a) a new Mixed Integer Linear Programming (MILP) model for sequencing automobiles and allocating their operations to each station, and (b) a novel MILP model for determining the operation sequence and timing of each car type. The motivating industrial case is revisited with the proposed framework to illustrate its validity and efficiency.

Reviews

Required fields are marked *. Your email address will not be published.