A flexible planning methodology for product family assembly line based on improved NSGA_II. Issue 4 (21st May 2020)

• Record Type: Journal Article
• Authors: Wu, Yongming; Zhao, Xudong; Xu, Yanxia; Chen, Yuling
• Is Part Of: Assembly automation. Volume 40:Issue 4(2020)
• Page Start: 625
• Page End: 639
• Publication Date: 2020-05-21
• Subjects: Data analysis -- Balance optimizing -- Evolution planning -- Product family assembly line; Automation -- Periodicals; Automatic machinery -- Periodicals; Assembly-line methods -- Periodicals; Industrial engineering -- Periodicals; 670.42705
• DOI: 10.1108/AA-05-2019-0098
• Languages: English
• ISSNs: 0144-5154

Abstract

Abstract : Purpose: The product family assembly line (PFAL) is a mixed model-assembly line, which is widely used in mass customization and intelligent manufacturing. The purpose of this paper is to study the problem of PFAL, a flexible (evolution) planning method to respond to product evolution for PFAL, to focus on product data analysis and evolution planning method. Design/methodology/approach: The evolution balancing model for PFAL is established and an improved NSGA_II (INSGA_II) is proposed. From the perspective of data analysis, dynamic characteristics of PFAL are researched and analyzed. Especially the tasks, which stability is considered, can be divided into a platform and individual task. In INSGA_II algorithm, a new density selection and a decoding method based on sorting algorithms are proposed to compensate for the lack of traditional algorithms. Findings: The effectiveness and feasibility of the method are validated by an example of PFAL evolution planning for a family of similar mechanical products. The optimized efficiency is significantly improved using INSGA_II proposed in this paper and the evolution planning model proposed has a stronger ability to respond to product evolution, which maximizes business performance over an effective period of time. Originality/value: The assembly line designers and managers in discrete manufacturing companies can obtain an optimal solution for PFAL planning through the evolution planning model and INSGA-II proposed in this paper. Then, this planning model and optimization method have been successfully applied in the production of small wheel loaders.