A DYNAMIC PACKING APPROACH FOR INTERNET-OF-THINGS AND LOGISTICS APPLICATIONS
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Dosyalar
Tarih
2023
Yazarlar
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Yayıncı
Inst Applied Mathematics
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
A novel dynamic rectangular packing model for a resource allocation problem, which has many applications in Logistics Internet-of-Things (L-IoT) is considered in this study. We use an optimization approach to deal with an IoT-based problem, whose objective is to max-imize the profit obtained from packing the data demand over a sequence of time frames, while satisfying several quality of service constraints. We propose a nonlinear integer programming model for the problem that optimizes demand partitioning and rectangle packing simultaneously, for the first time in literature. By introducing effective upper and lower bounds for this practi-cally important problem, a computational experimentation is designed for assessing the model and bound performances. An extensive discussion and recommendations for policy-making are included based on the computational results.
Açıklama
Anahtar Kelimeler
Bin Packing; Optimization; Logistics Internet-Of-Things; Nonlinear Integer Program-Ming