Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Yunfang Peng"'
Publikováno v:
Aerospace, Vol 11, Iss 5, p 378 (2024)
Aiming at the disrupted flight recovery problem, this paper established a mixed-integer programming model based on the resource assignment model to minimize the recovery cost. To deal with the large-scale examples, the Logic-Based Benders decompositi
Externí odkaz:
https://doaj.org/article/b4b0e2b2f16f4cbfbf4b6030a89f6375
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2020 (2020)
In order to solve the problem of vehicle scheduling to feed parts at automobile assembly line, this study proposes a just-in-time delivery method combined with the mode of material supermarket. A mixed integer linear programming model with the primar
Externí odkaz:
https://doaj.org/article/f801e918cc034d818f39b6795fdf8bf1
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2018 (2018)
This paper deals with stochastic dynamic facility layout problem under demand uncertainty in terms of material flow between facilities. A robust approach suggests a robust layout in each period as the most frequent one falling within a prespecified p
Externí odkaz:
https://doaj.org/article/ae1c8a0b81b44d08af5257127449f3a8
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2014 (2014)
This paper deals with the advanced planning and scheduling (APS) problem with multilevel structured products. A constraint programming model is constructed for the problem with the consideration of precedence constraints, capacity constraints, releas
Externí odkaz:
https://doaj.org/article/c959c86cc6714f4ca0bf9bb52d64b513
Publikováno v:
International Journal of Production Research. Dec2023, Vol. 61 Issue 24, p8451-8467. 17p.
Publikováno v:
International Journal of Production Research. :1-17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc44e83d6bcd536e192ab77fe36910f6
https://doi.org/10.1080/00207543.2022.2152890
https://doi.org/10.1080/00207543.2022.2152890
Publikováno v:
International Journal of Intelligent Robotics and Applications. 4:319-327
Crack is the most common defect in the railway sleeper inspection work. However, it is still lack of effective algorithms to automatically detect. Two deep learning based methods were popularly used to detect cracks: two-stage methods and one-stage m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a96d75c96e10188ebac3b3a7559a62a5
https://doi.org/10.1007/s41315-020-00141-4
https://doi.org/10.1007/s41315-020-00141-4
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2020 (2020)
In order to solve the problem of vehicle scheduling to feed parts at automobile assembly line, this study proposes a just-in-time delivery method combined with the mode of material supermarket. A mixed integer linear programming model with the primar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b27d2f1e5bba3eefd6c3e0f84d08507e
https://doi.org/10.1155/2020/2939272
https://doi.org/10.1155/2020/2939272
A Dynamic Dispatching Method for Large-Scale Interbay Material Handling Systems of Semiconductor FAB
Publikováno v:
Sustainability; Volume 14; Issue 21; Pages: 13882
Interbay Automated Material Handling Systems (AMHS) are widely adopted especially in Semiconductor Wafer Fabrication Systems (SWFS). The dispatching method plays a major role in the control of AMHS. This paper proposes an efficient multi-objective dy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ab33e6eed93534d9d1c29c47f87a3d9
https://doi.org/10.3390/su142113882
https://doi.org/10.3390/su142113882
Publikováno v:
International Journal of Production Research. 58:6707-6723
This paper presents a new analytical approach to the analysis of transfer lines with unreliable machines and unreliable buffers running in a steady state. The buffers are assumed to be subject to t...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41a69ebaa25667da6c474d577c87e875
https://doi.org/10.1080/00207543.2019.1685700
https://doi.org/10.1080/00207543.2019.1685700