Application of the RFID technology in logistics

Popova, Irina; Abdullina, Elena; Danilov, Igor; Marusin, Aleksandr; Marusin, Alexey; Ruchkina, Irina; Shemyakin, Alexander

doi:10.1016/j.trpro.2021.09.072

Cited by 35 publications

(21 citation statements)

References 59 publications

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“…Bearing in mind the numerous analyzed limitations, the overcoming of which would increase the efficiency of customer service, the main goal of this paper is the selection of smart solutions for MH based on combinations of modern MH equipment and I 4.0 technology. In order to overcome some key challenges, four alternatives are discussed in this research: SAGV forklifts, AMRs, GTP and UAVs, which are supported by CWMS, CGPS, BD, DM, IIoT, AI and AR as the most significant I 4.0 technologies for MH activities [81][82][83][84][85][86][87][88][89][95][96][97][98][99][100][101][102][103][104][105][106][107][108]. Each alternative is analyzed in terms of its advantages and disadvantages from the perspective of MH in logistics center and are evaluated based on fourteen criteria.…”

Section: Discussionmentioning

confidence: 99%

“…This paper proposes (smart) solutions based on modern MH equipment, such as SAGV forklifts, AMRs, GTP and UAVs, as well as I 4.0 technologies, such as the Industrial Internet of Things (IIoT), Global Positioning System supported by CC-Cloud GPS (CGPS), RFID, BD, DM, AI and AR with integrated Decision Support Systems (DSS) and Warehouse Management Systems supported by CC-Cloud WMS (CWMS). With IIoT sensors [79,80] and RFID tags [81,82], communication is carried out between every device and element in the warehouse. IIoT sensors record and update information on warehouse operations.…”

Section: Defining Alternative Smart Solutionsmentioning

confidence: 99%

“…Moreover, RFID tags are used to indicate the appropriate location where the next warehouse assignment should be accepted. The SAGV forklift communicates with the control system via a Wi-Fi network that connects all RFID and IIoT sensors [79][80][81]. SAGV forklifts have safety scanners that operate based on AR, which prevent them from encountering barriers such as employees, equipment, goods, etc., thus providing high-level work safety [88,[91][92][93][94][95].…”

Section: Defining Alternative Smart Solutionsmentioning

confidence: 99%

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Smart Material Handling Solutions for City Logistics Systems

et al. 2023

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Globalization, the growth of the world population, urbanization and the growth of the volume of the flow of goods have generated numerous problems in city logistics (CL). The opportunity to solve them is found in various fields by defining and implementing initiatives, concepts, measures, modern technologies and scenarios. The efficiency of the solution largely depends on the efficiency of logistics centers, which is one of the key subsystems of CL. The requirements for the reliable delivery of goods to customers in urban areas are conditioned by the efficiency their order fulfillment in logistics centers. Therefore, optimizing material handling (MH) time and costs aimed at reducing delivery errors, minimizing damage to goods and increasing customer service efficiency is directly conditioned by the automation of MH in logistics centers. Accordingly, this paper aims to rank and select smart MH solutions in logistics centers where deliveries are prepared for the supply of the city area. This paper proposes four smart solutions for a real company, and fourteen criteria are selected for the evaluation. A new hybrid Multi-Criteria Decision-Making model that combines the Fuzzy Analytic Hierarchy Process method, used to determine the criteria weights, and the Fuzzy COmprehensive distance-Based RAnking (FCOBRA) method, used to rank the alternatives, is proposed. The application of the model shows that the best alternative is the implementation of an autonomous forklift, which can greatly automate logistics activities and reduce the rate of delivery errors. The main contributions of this research are the definition of smart solutions, a framework for their evaluation and a new model for their ranking.

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Section: Discussionmentioning

confidence: 99%

Section: Defining Alternative Smart Solutionsmentioning

confidence: 99%

Section: Defining Alternative Smart Solutionsmentioning

confidence: 99%

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Smart Material Handling Solutions for City Logistics Systems

et al. 2023

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“…Vehicles AGVs (Mehami et al, 2018) -Reception of goods and handling of raw materials -Automated storage and retrieval.…”

Section: Automatically Guidedmentioning

confidence: 99%

“…Virtual Simulation (VS) (Tounsi,2011) Allows to: -Model data in real time -reflect the physical world in a virtual model that includes machines, products and humans. 8 RFID ( Popova et al, 2021) Allows the identification and tracking of objects without physical contact from their frequencies. 9…”

mentioning

confidence: 99%

Methodology for Eliminating Waste Combining Lean Logistics and 4.0 Technologies With a Case Study of a Warehouse of a Food Company

kihel,

Embraki

2022

Proceedings of the International Conference on Industrial Engineering and Operations Management

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The combination of Lean and 4.0 technologies in logistics is more and more presented as an essential solution to improve productivity and guarantee the economic performance of the supply chain. Several organizations have already implemented, either completely or partially, solutions based on the Lean approach. The two approaches are different and do not lead to the same desired performance results. Big questions are currently being asked if the two methods are complementary or independent and what is the right approach to implement Lean Logistics 4.0.For the development of Lean Logistics 4.0; this research work presents a methodology that combines Lean Logistics and 4.0 technologies in three steps: diagnosis, integration of Lean tools and 4.0 technologies.

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