Application of RTLS in Warehouse Management Based on RFID and Wi-Fi

Ding, Bin; Chen, Li; Chen, Dianlong; Yuan, Haitao

doi:10.1109/wicom.2008.1249

Cited by 40 publications

(19 citation statements)

References 2 publications

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“…To improve productivity in warehouse, it is crucial to obtain timely location information of all resources for accurate decisions in warehousing processes. The RFID‐based system in product location management has been widely studied . Poon et al .…”

Section: Literature Reviewmentioning

confidence: 99%

“…The RFID-based system in product location management has been widely studied. [12][13][14][15][16] Poon et al 17 established a RFID case based logistics resource management system to improve visibility and productivity of the order picking process. Chow et al 11 put the resource management system into a real life case in a US based multinational logistics company GENCO distribution system to maximize the utilization of warehouse resources and enhance the work efficiency.…”

Section: Location Management In Warehouse Managementmentioning

confidence: 99%

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Location Management of Cloud Forklifts in Finished Product Warehouse

Zhao

Fang

Huang

et al. 2016

Int. J. Intell. Syst.

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The order picking process has been considered as the most time‐consuming and costly activity in warehouse management. Efficient location management, including product location management and storage location assignment management, serves as the key to reducing product searching time and traveling time during the process. This research is motivated by a real‐life industrial case, which is from a forklift manufacturer that encountered the underperformance in warehouse management. Excessive time was consumed in searching and picking the forklift in finished product warehouse, which thus led to great waste in resources and even the postponement of delivery. To solve this problem, this paper first presents the details about the problem and related processes. A conceptual model of cloud forklifts and its life cycle oriented management platform is then proposed. Accordingly, a prototype system named cloud forklift warehouse management system (CFWMS) is built based on the proposed model. The suggested model and system architecture is designed and developed with the commonality for general warehousing processes, and therefore can be easily configured and applied to any general warehouse environment. Results and details of implementation for the real‐life case are also provided to demonstrate the validity of the proposed model and CFWMS.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Location Management In Warehouse Managementmentioning

confidence: 99%

Location Management of Cloud Forklifts in Finished Product Warehouse

Zhao

Fang

Huang

et al. 2016

Int. J. Intell. Syst.

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“…The rapid growth of those devices have increased the variety and sophistication of This manuscript has been accepted for publication at the 17th International Conference on Service-Oriented Computing and may be published in the book series Lecture Notes in Computer Science. All copyrights reserved to Springer Nature Switzerland AG, Gewerbestrasse 11,6330 Cham,Switzerland. software applications and services such as facial recognition [21], interactive gaming [6], real-time, large-scale warehouse management [7], etc. Those applications usually require intensive processing power and high energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Edge User Allocation with Dynamic Quality of Service

Lai

Cui

et al. 2019

Lecture Notes in Computer Science

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In edge computing, edge servers are placed in close proximity to end-users. App vendors can deploy their services on edge servers to reduce network latency experienced by their app users. The edge user allocation (EUA) problem challenges service providers with the objective to maximize the number of allocated app users with hired computing resources on edge servers while ensuring their fixed quality of service (QoS), e.g., the amount of computing resources allocated to an app user. In this paper, we take a step forward to consider dynamic QoS levels for app users, which generalizes but further complicates the EUA problem, turning it into a dynamic QoS EUA problem. This enables flexible levels of quality of experience (QoE) for app users. We propose an optimal approach for finding a solution that maximizes app users' overall QoE. We also propose a heuristic approach for quickly finding sub-optimal solutions to large-scale instances of the dynamic QoS EUA problem. Experiments are conducted on a real-world dataset to demonstrate the effectiveness and efficiency of our approaches against a baseline approach and the state of the art.

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“…The widest application of RTLS is the industrial field and the related researches have been operated for a couple of years. Bin Ding proposes a new RTLS system model based on the technology of Radio Frequency Identification (RFID) and Wi-Fi to realize materials tracking [7]. Frederic Thiesse investigates the value of RTLS information on the locations of physical objects in a production system to the problem of efficient job scheduling with a RFID-based RTLS implementation in a semiconductor lab [8].…”

Section: Introductionmentioning

confidence: 99%