Design of Smart System For Fruit Packinghouse Management in Supply Chain

Khumaidi, Ali; Purwanto, Y. Aris; Sukoco, Heru; Wijaya, Sony Hartono; Darmawan, Risanto

doi:10.1109/icosica49951.2020.9243205

Cited by 2 publications

(1 citation statement)

References 44 publications

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“…To ensure an effective fruit classification, product range and distribution model for the required delivery, packaging selection, stock optimization, cost savings, improved revenue and benefit and consumer lots, Khumaidi A, et al (2020) proposed developing the technologies and computational integration into a market method known as the Smart System for Fruit Packinghouse Management (SPHM). The proposed Smart Logistic System, the Smart Indexing System, the Smart Packing System, and the Smart Storage System consist of four sub-systems.…”

Section: Literature Study Reportsmentioning

confidence: 99%

Logistic Management in the Supply Chain Market Using Bio-Inspired Models With IoT Assistance

Liu

2022

International Journal of Information Systems and Supply Chain Management

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The internet of things (IoT) is a modern generation of internet-associated embedded information and communication technology in an online environment to incorporate logistics and supply chain processes seamlessly. Automation in inventory monitoring, product control, storage, customer relationships, fleet tracking, etc. is a common issue faced by firms suggesting alternatives to the various problems. In this study, IoT-assisted bio-inspired framework (IoT-BIF) has been proposed for effective logistics management and supply chain processes. IoT with bio-inspired model sensors can track products via different supply chain units to address under-stocking and over-stocking issues. This modern technology allows the connection of numerous objects by gathering real-time data and sharing it; the resulting data can help automated decision-making in industries. The experimental results show that the proposed IoT-BIF method reduces the cost, memory utilization, average running time compared to other popular methods.

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Section: Literature Study Reportsmentioning

confidence: 99%