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Volume 40 Issue 1
Jan.  2018
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Article Contents
HU Xin-ming, LU Zhi-qiang. Integrated optimization of material delivery and line-side storage problem for aircraft moving assembly line[J]. Chinese Journal of Engineering, 2018, 40(1): 108-119. doi: 10.13374/j.issn2095-9389.2018.01.014
Citation: HU Xin-ming, LU Zhi-qiang. Integrated optimization of material delivery and line-side storage problem for aircraft moving assembly line[J]. Chinese Journal of Engineering, 2018, 40(1): 108-119. doi: 10.13374/j.issn2095-9389.2018.01.014

Integrated optimization of material delivery and line-side storage problem for aircraft moving assembly line

doi: 10.13374/j.issn2095-9389.2018.01.014
  • Received Date: 2017-05-03
  • To solve the material supply problem of multiple parallel assembly jobs in aircraft moving assembly line, an integrated material delivery and line-side storage decision making model and corresponding algorithm were proposed. The decisions about the storage of line-side material were introduced on the basis of the material-batching and vehicle scheduling problems. An integrated mathematical model with the objective of minimizing the number of deliveries was established and a heuristic algorithm based on the immune algorithm was proposed. A joint decision of batching, delivery time and storage position for each job's material was proposed considering delivery capability, reusing and sharing of line-side space through backward-dynamic vehicle scheduling and look-ahead storage algorithms while seeking the advantages of the immune algorithm. The results of the numerical experiments proved the validity of the model and algorithms.

     

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  • [1]
    Zheng Y, Han D, Ni Y R, et al. Research and application of bottom-up route-based product data conformity inspection approach for civil aircraft. Int J Comput Integr Manuf, 2014, 27(6):591
    [2]
    Mei Z Y, Liu Y J, Younus M. Material delivery system for aircraft composite component manufacturing workshop//Proceedings of the International Multi-Conference of Engineers and Computer Scientists. Hong Kong, 2011:1097
    [3]
    Caputo A C, Pelagagge P M, Salini P. A decision model for selecting parts feeding policies in assembly lines. Ind Manage Data Syst, 2015, 115(6):974
    [4]
    Sali M, Sahin E. Line feeding optimization for just in time assembly lines:an application to the automotive industry. Int J Prod Econ, 2016, 174:54
    [5]
    Golz J, Gujjula R, Günther H O, et al. Part feeding at high-variant mixed-model assembly lines. Flex Serv Manuf J, 2012, 24(2):119
    [6]
    Emde S, Gendreau M. Scheduling in-house transport vehicles to feed parts to automotive assembly lines. Eur J Oper Res, 2017, 260(1):255
    [7]
    Zhou B H,Peng T. Scheduling the in-house logistics distribution for automotive assembly lines with just-in-time principles. Assembly Autom, 2017, 37(1):51
    [8]
    Fathi M, Rodríguez V, Fontes D B M M, et al. A modified particle swarm optimisation algorithm to solve the part feeding problem at assembly lines. Int J Prod Res, 2016, 54(3):878
    [9]
    Boysen N, Briskorn D, Emde S. Just-in-time vehicle scheduling with capacity constraints. ⅡE Trans,2016, 48(2):134
    [10]
    Komaki G M, Teymourian E, Kayvanfar V. Minimising makespan in the two-stage assembly hybrid flow shop scheduling problem using artificial immune systems. Int J Prod Res, 2016, 54(4):963
    [11]
    Abdollahpour S, Rezaeian J. Minimizing makespan for flow shop scheduling problem with intermediate buffers by using hybrid approach of artificial immune system. Appl Soft Comput, 2015, 28:44
    [12]
    Wang Y, Gu X S, Xu Z H. An adaptive immune algorithm based on the endocrine regulation mechanism for scheduling problems of flow shop with zero wait. Int J Model Ident Contrl, 2011, 12(1-2):42
    [14]
    Farhy L S. Modeling of oscillations in endocrine networks with feedback. Methods Enzymol, 2004, 384:54
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