A Systematic Literature Review on No-Idle Flow Shop Scheduling Problem

被引：0
作者：
Utama D.M. [1 ]
Al Imron C.N. [1 ]
机构：
[1] Department of Industrial Engineering, University of Muhammadiyah Malang, Malang City
来源：
Operations Research Forum | / 5卷 / 1期
关键词：
Flow shop; No-idle flow shop; Scheduling; Systematic review;
D O I：
10.1007/s43069-024-00304-0
中图分类号：
学科分类号：
摘要：
Scheduling issues have become a critical problem in the company because they affect manufacturing performance and production continuity. One of the production scheduling issues is the no-idle flow shop scheduling problem (NIFSP), which does not allow machines to be idle. This article attempts to present an analysis of published articles on NIFSP. This study employs a systematic review to examine 63 articles. The articles studied were published between 1981 and 2023. Article reviews are classified by country, year, publisher, journal/conference, objective function, classification of methods used, and NIFS variants. This article presents the review analysis results, research gaps, and future research directions. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.
引用
收藏
相关论文
共 86 条
[1]  
Oztop H., Tasgetiren M.F., Eliiyi D.T., Pan Q.-K., Kandiller L., An energy-efficient permutation flowshop scheduling problem, Expert Syst Appl, 150, (2020)
[2]  
Utama D.M., An effective hybrid crow search algorithm for energy-efficient flow shop scheduling, AIP Conf Proc, 2453, 1, (2022)
[3]  
Utama D.M., Ibrahim M.F., Wijaya D.S., Widodo D.S., Primayesti M.D., A novel hybrid multi-verse optimizer algorithm for energy-efficient permutation flow shop scheduling problem, J Phys Conf Ser, 2394, 1, (2022)
[4]  
Fernandez-Viagas V., Ruiz R., Framinan J.M., A new vision of approximate methods for the permutation flowshop to minimise makespan: state-of-the-art and computational evaluation, Eur J Oper Res, 257, 3, pp. 707-721, (2017)
[5]  
Jabari A.N.A.A.K., Hasan A., Energy-aware scheduling in hybrid flow shop using firefly algorithm, J Teknik Industri, 22, 1, pp. 18-30, (2021)
[6]  
Utama D.M., Widodo D.S., Ibrahim M.F., Dewi S.K., An effective hybrid ant lion algorithm to minimize mean tardiness on permutation flow shop scheduling problem, Int J Adv Intell Inform, 6, 1, pp. 23-35, (2020)
[7]  
Widodo D.S., Utama D.M., The hybrid ant lion optimization flow shop scheduling problem for minimizing completion time, Int Conf Sci Technol 2019 Surabaya, Indonesia, 1569, 2, (2020)
[8]  
Utama D.M., Minimizing Number of Tardy Jobs in Flow Shop Scheduling Using A Hybrid Whale Optimization Algorithm, In: The International Conference on Industrial Automation, Smart Grid and Its Application (ICIASGA), 1845, no 1, (2021)
[9]  
Shao W., Pi D., Shao Z., Local search methods for a distributed assembly no-idle flow shop scheduling problem, IEEE Syst J, 13, 2, pp. 1945-1956, (2018)
[10]  
Utama D.M., Salim A.A.P., Widodo D.S., A novel hybrid archimedes optimization algorithm for energy-efficient hybrid flow shop scheduling, Int J Adv Intell Informatics, 8, 2, pp. 237-250, (2022)
123456789