RETRACTED: A Multi-objective Assessment of Process Planning in a Disruptive Reconfigurable Manufacturing System: Application of Multi-heuristics (Retracted Article)

被引:0
|
作者
Khan, Abdul Salam [1 ,2 ]
Homri, Lazhar [1 ]
Dantan, Jean Yves [1 ]
Siadat, Ali [1 ]
机构
[1] HESAM Univ, Arts & Metiers Inst Technol, LCFC, Univ Lorraine, F-57070 Metz, France
[2] NUST, NUST Business Sch, Islamabad, Pakistan
关键词
reconfigurable manufacturing system; process planning; cost; quality; optimization; DESIGN;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Reconfigurable Manufacturing System is a modern manufacturing topology which has been designed at its outset according to product requirements. One main issue in the field of RMS is process planning which assigns configurations to operations, however, existing literature on process planning lacks in analyzing the quality. To overcome it, this study performs a multi-objective assessment by optimizing the total cost, the quality decay index, the diversity of operations and the reconfiguration effort. The problem is NP-hard and in order to solve it, two meta-heuristics namely, non-sorting genetic algorithm and multi-objective particle swarm optimization are administered. The results of these algorithms are compared regarding their computation time and number of Pareto solutions. Furthermore, the acquired non-dominated solutions and detailed process plans are listed according to the optimal values of objective functions. Finally, a conclusion is provided.
引用
下载
收藏
页码:29 / 34
页数:6
相关论文
共 50 条
  • [31] Production Planning in Flexible Manufacturing System by Considering the Multi-Objective Functions
    Kumar, B. Satish
    Raju, G. Janardhana
    Janardhana, G. Ranga
    ADVANCES IN MATERIALS AND MANUFACTURING ENGINEERING, ICAMME 2019, 2020, : 343 - 352
  • [32] RETRACTED ARTICLE: Effect of reconfiguration costs on planning for capacity scalability in reconfigurable manufacturing systems
    Ahmed M. Deif
    Waguih ElMaraghy
    International Journal of Flexible Manufacturing Systems, 2006, 18 : 225 - 238
  • [33] RETRACTED: A practical and efficient multi-assessment system for vocational teaching based on machine learning (Retracted Article)
    Xiao, Meng
    Yi, Haibo
    INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING EDUCATION, 2020,
  • [34] RETRACTED: Agents and multi-agent systems and application to condition monitoring (Retracted Article)
    Vilakazi, Christina B.
    Marwala, Tshilidzi
    2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8, 2007, : 392 - +
  • [35] Application of Multi-Objective Hyper-Heuristics to Solve the Multi-Objective Software Module Clustering Problem
    Alshareef, Haya
    Maashi, Mashael
    APPLIED SCIENCES-BASEL, 2022, 12 (11):
  • [36] Multi-Objective Optimization of Additive Manufacturing Process
    Asadollahi-Yazdi, Elnaz
    Gardan, Julien
    Lafon, Pascal
    IFAC PAPERSONLINE, 2018, 51 (11): : 152 - 157
  • [37] RETRACTED: A multi objective binary bat approach for testcase selection in object oriented testing (Retracted Article)
    Geetha, B.
    Mala, D. Jeya
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2021, 12 (07) : 6997 - 7006
  • [38] Fault-tolerance Optimization of Reconfigurable Manufacturing Systems: Multi-objective Artificial Bee Colony Algorithm for Process Planning
    Torki, Fatima Zohra
    Belaiche, Leyla
    Kahloul, Laid
    Hamani, Nadia
    Benharzallah, Saber
    2022 INTERNATIONAL SYMPOSIUM ON INNOVATIVE INFORMATICS OF BISKRA, ISNIB, 2022, : 94 - 99
  • [39] Process and production planning for sustainable reconfigurable manufacturing systems (SRMSs): multi-objective exact and heuristic-based approaches
    Yazdani, Mohammad Amin
    Khezri, Amirhossein
    Benyoucef, Lyes
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 119 (7-8): : 4519 - 4540
  • [40] Process and production planning for sustainable reconfigurable manufacturing systems (SRMSs): multi-objective exact and heuristic-based approaches
    Mohammad Amin Yazdani
    Amirhossein Khezri
    Lyes Benyoucef
    The International Journal of Advanced Manufacturing Technology, 2022, 119 : 4519 - 4540