Scheduling Just-in-Time Transport Vehicles to Feed Parts for Mixed Model Assembly Lines

Yunfang Peng, Tian Zeng, Yajuan Han and Beixin Xia

Discrete Dynamics in Nature and Society, 2020, vol. 2020, 1-13

Abstract:

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 primary objective of using the least number of tow trains is constructed by considering capacity of vehicle and inventory levels of line. On the basis of the minimum number of tow trains, the schedule of each tour is reasonably planned to minimize inventory of assembly line, which is the secondary objective of the part supply problem. Additionally, a heuristic algorithm which can obtain a satisfactory solution in a short time is designed to solve large-scale problems after considering continuity and complexity of modern automobile production. Furthermore, some cases are analyzed and compared with the widely used periodic delivery strategy, and the feasibility of just-in-time model and algorithm is verified. The results reveal that just-in-time delivery strategy has more advantages in reducing inventory level than periodic delivery strategy.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:2939272

DOI: 10.1155/2020/2939272

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