The Experts below are selected from a list of 116700 Experts worldwide ranked by ideXlab platform
S. Neeraja - One of the best experts on this subject based on the ideXlab platform.
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Warehouse Inventory Management system using IoT and open source framework
Alexandria Engineering Journal, 2018Co-Authors: B. Sai Subrahmanya Tejesh, S. NeerajaAbstract:Abstract In general, warehouses are used to store goods or products. In the Warehouses, if the user wants to locate any product it is very difficult, because user have to do a detailed search manually in all the available stockrooms this requires a lot of effort. So to avoid this problem the warehouse Inventory Management system is very helpful because it maintains the detailed product information and tells us in which stockroom the product is present. The warehouse Inventory Management system is playing a significant aspect in many productions and goods based methodology. Though there are many wireless communication technologies the RFID suits the best for the warehouse Inventory Management system. The tag information is transferred from the transmitter section to open source hardware via a wireless link with the aid of internet. The warehouse Inventory Management system built on the architecture of the Internet of Things is developed to track the products attached to the tags with product information and their respective time stamps for further verification. The Raspberry Pi acts as a central server, monitoring all the information. The total system gives an archetype to correspond the information flow and material flow. The web page which is built in accordance to provide convenient and an interface to the user to track the products. The developed system results a very low cost system and works dynamically compared with the existing present warehouse Inventory Management systems.
Yufei Yuan - One of the best experts on this subject based on the ideXlab platform.
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spare parts Inventory Management a literature review
Sustainability, 2021Co-Authors: Shuai Zhang, Kai Huang, Yufei YuanAbstract:Spare parts are held as Inventory to support product maintenance in order to reduce downtime and extend the lifetime of products. Recently, spare parts Inventory Management has been attracting more attention due to the “right-to-repair” movement which requires that manufacturers provide sufficient spare parts throughout the life-cyle of their products to reduce waste so as to achieve sustainability. In this review, 148 papers regarding spare parts Inventory Management published from 2010 to 2020 are examined. The studies are classified based on two groups of perspectives. The first group includes the characteristics of spare parts, products, Inventory systems, and supply chains, while the second group focuses on the characteristics of research methodologies and topics in the reviewed studies. The novelty of this literature review is three-fold. Firstly, we focus on analyzing the supply chain structure of different Inventory networks for managing spare parts. Secondly, we classify the current literature based on analytics techniques, i.e., descriptive analytics, predictive analytics, and prescriptive analytics. Finally, the research gaps in this field are discussed from the perspective of reverse logistics, consumer durable goods, Inventory network structure and policy, spare parts demand pattern modeling, and big data analytics.
B. Sai Subrahmanya Tejesh - One of the best experts on this subject based on the ideXlab platform.
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Warehouse Inventory Management system using IoT and open source framework
Alexandria Engineering Journal, 2018Co-Authors: B. Sai Subrahmanya Tejesh, S. NeerajaAbstract:Abstract In general, warehouses are used to store goods or products. In the Warehouses, if the user wants to locate any product it is very difficult, because user have to do a detailed search manually in all the available stockrooms this requires a lot of effort. So to avoid this problem the warehouse Inventory Management system is very helpful because it maintains the detailed product information and tells us in which stockroom the product is present. The warehouse Inventory Management system is playing a significant aspect in many productions and goods based methodology. Though there are many wireless communication technologies the RFID suits the best for the warehouse Inventory Management system. The tag information is transferred from the transmitter section to open source hardware via a wireless link with the aid of internet. The warehouse Inventory Management system built on the architecture of the Internet of Things is developed to track the products attached to the tags with product information and their respective time stamps for further verification. The Raspberry Pi acts as a central server, monitoring all the information. The total system gives an archetype to correspond the information flow and material flow. The web page which is built in accordance to provide convenient and an interface to the user to track the products. The developed system results a very low cost system and works dynamically compared with the existing present warehouse Inventory Management systems.
Shuai Zhang - One of the best experts on this subject based on the ideXlab platform.
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spare parts Inventory Management a literature review
Sustainability, 2021Co-Authors: Shuai Zhang, Kai Huang, Yufei YuanAbstract:Spare parts are held as Inventory to support product maintenance in order to reduce downtime and extend the lifetime of products. Recently, spare parts Inventory Management has been attracting more attention due to the “right-to-repair” movement which requires that manufacturers provide sufficient spare parts throughout the life-cyle of their products to reduce waste so as to achieve sustainability. In this review, 148 papers regarding spare parts Inventory Management published from 2010 to 2020 are examined. The studies are classified based on two groups of perspectives. The first group includes the characteristics of spare parts, products, Inventory systems, and supply chains, while the second group focuses on the characteristics of research methodologies and topics in the reviewed studies. The novelty of this literature review is three-fold. Firstly, we focus on analyzing the supply chain structure of different Inventory networks for managing spare parts. Secondly, we classify the current literature based on analytics techniques, i.e., descriptive analytics, predictive analytics, and prescriptive analytics. Finally, the research gaps in this field are discussed from the perspective of reverse logistics, consumer durable goods, Inventory network structure and policy, spare parts demand pattern modeling, and big data analytics.
Kai Huang - One of the best experts on this subject based on the ideXlab platform.
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spare parts Inventory Management a literature review
Sustainability, 2021Co-Authors: Shuai Zhang, Kai Huang, Yufei YuanAbstract:Spare parts are held as Inventory to support product maintenance in order to reduce downtime and extend the lifetime of products. Recently, spare parts Inventory Management has been attracting more attention due to the “right-to-repair” movement which requires that manufacturers provide sufficient spare parts throughout the life-cyle of their products to reduce waste so as to achieve sustainability. In this review, 148 papers regarding spare parts Inventory Management published from 2010 to 2020 are examined. The studies are classified based on two groups of perspectives. The first group includes the characteristics of spare parts, products, Inventory systems, and supply chains, while the second group focuses on the characteristics of research methodologies and topics in the reviewed studies. The novelty of this literature review is three-fold. Firstly, we focus on analyzing the supply chain structure of different Inventory networks for managing spare parts. Secondly, we classify the current literature based on analytics techniques, i.e., descriptive analytics, predictive analytics, and prescriptive analytics. Finally, the research gaps in this field are discussed from the perspective of reverse logistics, consumer durable goods, Inventory network structure and policy, spare parts demand pattern modeling, and big data analytics.
