A dynamic heuristic-based algorithm to part input sequencing in flexible manufacturing systems for mass customization capability |
| |
Authors: | Yumin He and Milton L Smith |
| |
Affiliation: | (1) Department of Information System, Beihang University, Beijing, 100083, P.R. China;(2) Department of Industrial Engineering, Texas Tech University, Lubbock, TX 79409, USA |
| |
Abstract: | In the increasingly competitive global markets, enterprises face challenges in responding to customer orders quickly, as well
as producing customized products cost-effectively. This paper proposes a dynamic heuristic-based algorithm for the part input
sequencing problem of flexible manufacturing systems (FMSs) in a mass customization (MC) environment. The FMS manufactures
a variety of parts, and customer orders arrive dynamically with order size as small as one. Segmental set functions are established
in the proposed algorithm to apply the strategy of dynamic workload balancing, and the shortest processing time (SPT) scheduling
rule. Theoretical analysis is performed and the effectiveness of the algorithm in dynamic workload balancing under the complex
and dynamic environment is proven. The application of the algorithm is illustrated by an example. The potential of its practical
applications to the FMSs in make-to-order (MTO) supply chains is also discussed. Further research is provided.
|
| |
Keywords: | Part input sequencing Flexible manufacturing systems (FMSs) Mass customization (MC) Set function Dynamic workload balancing |
本文献已被 SpringerLink 等数据库收录! |
|