Open AccessMixed Flow Assembly Line Balancing Problem Considering Material Supply Strategy
Author(s) -
Yujia Zhou,
Jin Shen,
Bin Wu,
Daofang Chang
Publication year - 2021
Publication title -
journal of traffic and logistics engineering
Language(s) - English
Resource type - Journals
ISSN - 2301-3680
DOI - 10.18178/jtle.9.2.27-31
Subject(s) - material flow , assembly line , computer science , mathematical optimization , production line , supply chain , line (geometry) , coding (social sciences) , piecewise , flow line , flow (mathematics) , engineering , mathematics , mechanical engineering , ecology , mathematical analysis , statistics , geometry , political science , law , biology
With the capacity limitation of the assembly line buffer area, a method for solving the mixed flow assembly line balancing problem considering material supply strategy is proposed. This paper analyzes the changes in material transportation time and assembly time due to different supply strategies, and proposes a method for jointly modeling the assembly line balancing and material supply problem. In the case of meeting the production cycle, with the buffer area capacity as the limit and the shortest production operation time as the goal, a joint optimization model including material handling time, material transportation time and assembly line working time is established, and the model is designed for the established model Genetic algorithm with piecewise coding. Finally, the proposed algorithm was evaluated using a workshop raw date the simulation results show that although the indirect supply cost is relatively more than the direct supply, it can effectively alleviate the problem of the capacity limitation of the buffer area.