Deep learning in big data and data mining

Sharma, Deepak Kumar; Tokas, Bhanu; Adlakha, Leo

doi:10.1016/b978-0-12-822226-3.00002-7

Cited by 2 publications

(6 citation statements)

References 2 publications

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“…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]. With the combination of AI and AR, the DSS is a system that offers several bases that make it simpler for managers to make decisions [89].…”

Section: Defining Alternative Smart Solutionsmentioning

confidence: 99%

“…In the system, all MH equipment and other equipment has an IIoT sensor that collects and saves data about their current state and potential damage due to collisions. In autonomous technology, it is required to protect and process a considerable amount of data, which can be performed with the support of BD and DM [86,87]. BD helps collect and save data on routes, performed warehouse assignments, serviced warehouse locations, the time required to perform each warehouse assignment, information on the times of orders' fulfillment, the level of errors during order picking, the degree of damage to an assignment and order status.…”

Section: Defining Alternative Smart Solutionsmentioning

confidence: 99%

“…When barriers arise on a defined route, AI technology as a base component of AMRs at the same time reorganizes and re-optimizes the route to the next point [98,99]. BD collects data on completed assignments and routes as a base for DM to optimize the route to the next warehouse assignment [86,87]. Because AMRs do not have the possibility of active pick-up and disposal of material, IIoT technology provides adequate information about the engagement of pick-up mechanisms, such as robotic arms, as well as collaboration with other equipment, such as cranes [78,79,[97][98][99][100].…”

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%

“…However, for this alternative to be effective, clearly defined laws and regulations are needed, as well as a developed awareness of acceptability among employees [87].…”

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: Defining Alternative Smart Solutionsmentioning

confidence: 99%

Section: Defining Alternative Smart Solutionsmentioning

confidence: 99%

Section: Defining Alternative Smart Solutionsmentioning

confidence: 99%

Section: Defining Alternative Smart Solutionsmentioning

confidence: 99%

“…However, for this alternative to be effective, clearly defined laws and regulations are needed, as well as a developed awareness of acceptability among employees [87].…”

Section: Defining Alternative Smart Solutionsmentioning

confidence: 99%

See 3 more Smart Citations