Please use this identifier to cite or link to this item: https://doi.org/10.1155/2020/1381340
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dc.titleParallel machine production and transportation operations' scheduling with tight time windows
dc.contributor.authorJiang, Y.
dc.contributor.authorHe, T.
dc.contributor.authorXiong, J.
dc.contributor.authorWu, X.
dc.contributor.authorChen, Y.
dc.date.accessioned2021-08-17T08:46:06Z
dc.date.available2021-08-17T08:46:06Z
dc.date.issued2020
dc.identifier.citationJiang, Y., He, T., Xiong, J., Wu, X., Chen, Y. (2020). Parallel machine production and transportation operations' scheduling with tight time windows. Complexity 2020 : 1381340. ScholarBank@NUS Repository. https://doi.org/10.1155/2020/1381340
dc.identifier.issn10762787
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/197335
dc.description.abstractThis study addresses a parallel machine production and transportation operations' scheduling problem with a tight time window associated with the transfer and delivery process. The orders located at the parallel machines need to be delivered to customers by train. Each order must be processed within a limited completion time in order for the product to be matched with the optimal trip to its destination within the delivery period. A mathematical analysis method is used to reveal the impact of tight time windows on the scheduling of production and transportation operations. The order transfer redundancy time and order transfer waiting time are employed to reflect the impact scheduling of production on the transfer process. The order delivery redundancy time and order delivery waiting time are used to describe delivery operations. The goal is to maximize the coordination level of order transfer and delivery, which are reflected in the order transfer time and the order delivery time, respectively. Additionally, a simulated annealing algorithm using the column generation technique was developed to solve this problem. The results show that the use of the system coordination model in this method obviously improves the number of successful transfers and deliveries. © 2020 Yang Jiang et al.
dc.publisherHindawi Limited
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2020
dc.typeArticle
dc.contributor.departmentINDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT
dc.description.doi10.1155/2020/1381340
dc.description.sourcetitleComplexity
dc.description.volume2020
dc.description.page1381340
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