A detailed review and analysis of assembly line rebalancing problems

Cimen T., BAYKASOĞLU A., DEMİRKOL AKYOL Ş.

ASSEMBLY AUTOMATION, sa.6, ss.742-760, 2022 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Derleme
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1108/aa-02-2022-0031
  • Dergi Adı: ASSEMBLY AUTOMATION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Aerospace Database, Business Source Elite, Business Source Premier, Communication Abstracts, INSPEC, Metadex, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.742-760
  • Anahtar Kelimeler: Assembly line rebalancing, Solution methodologies, Problem classification, Review, RE-BALANCING PROBLEM, MULTIOBJECTIVE GENETIC ALGORITHM, HEURISTIC ALGORITHM, MODEL, RECONFIGURATION, OPPORTUNITY, DESIGN
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

Purpose - Various approaches and algorithms have been proposed since the 1950s to solve the assembly line (AL) balancing problem. These methods have established an AL configuration from the beginning. However, a prebalanced AL may have to be rebalanced in real life for many reasons, such as changes in the cycle time, production demand, product features or task operation times. This problem has increasingly attracted the interest of scientists in recent years. This study aims to offer a detailed review of the assembly line rebalancing problems (ALRBPs) to provide a better insight into the theoretical and practical applications of ALRBPs.