Smart Warehouse Management System with RFID and Cloud Database

Rashid, Mahmudur; Ahad, S. M. Abdul; Siddique, Shahnewaz; Motahar, Tamanna

doi:10.1109/iciev.2019.8858546

Cited by 3 publications

(4 citation statements)

References 6 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%

“…The routing and navigational functions of smart MH equipment depend on CGPS [83,84]. The system that integrates and monitors all warehouse operations is known as CWMS [85,86]. Data regarding every process in the warehouse is gathered, examined, and processed using BD and DM technologies [87,88].…”

Section: Defining Alternative Smart Solutionsmentioning

confidence: 99%

“…BD technology saves and stores data from CWMS and sends it in the appropriate format to DM technology for processing. The data refer to the sequence of order execution, the number of requested goods, the direction of delivery as well as other relevant information that is necessary for the efficient execution of the order [85][86][87]. These data can also be used when defining the order of rack positioning.…”

Section: Defining Alternative Smart Solutionsmentioning

confidence: 99%

“…CWMS is necessary for the communication of all MH and other equipment and goods with the central computer. CWMS should provide information on inventory status, the planning and scheduling of an assignment to a UAV, assignment location, arrival time and the positions of external transport vehicles, the execution of an assignment and order status [85]. The necessary data on the locations of goods, employees and equipment are obtained using IIoT sensors and are stored using BD technology [80,86,88].…”

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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