Assembly Line Balancing Problem with Multi-Hierarchical Worker Assignment for New Product Planning  
Author Amy H. I. Lee

 

Co-Author(s) He-Yau Kang; Chih-Ning Hu

 

Abstract In general, assembly lines can reduce production costs, shorten cycle times, and achieve higher levels of quality. Due to the increasing diversity of products in the current market, an assembly line can assemble a group of similar models of products simultaneously, which is more suitable for responding to the diversified market needs than the traditional single-model assembly line. In addition, on assembly lines, the processing requirements of the tasks are often different, and the qualification level of the workers may also be different. Therefore, this study aims to construct an assembly line balancing problem with multihierarchical worker assignment (ALBP-MHW) for new products. The goal is to generate a suitable plan for the assembly line balancing, considering the constraints of the multi-hierarchical workforce, the cost of the multi-hierarchical labor, and the production cycle time. When the problem is simple, it can be solved by a mixed integer programming model. When the problem is more complex, it can be solved by a genetic algorithm (GA) model to obtain a near-optimal solution. Implementing this model can manage the assembly line balancing plan, thus, improving plant efficiency and reducing costs.

 

Keywords Assembly line balancing problem, multi-hierarchical workforce, mixed integer programming (MIP), genetic algorithm (GA)
   
    Article #:  RQD2024-124
 

Proceedings of 29th ISSAT International Conference on Reliability & Quality in Design
August 8-10, 2024