According to the research, it has been identified that Internet of Things (IoT) is regarded as the network associated with interconnected physical items that can be accessed with the help of digital network known as the Internet. It helps in forming an ecosystem related to the smart elements that are able to capture as well as exchange data during real-time. It can be seen that the IoT sensors have the capability to detect any kind of physical variables such as movement, temperature, heat, pressure, humidity, etc., and thereby converts those variables into readable or comprehensive data (Reaidy, Gunasekaran, and Spalanzani, 2015). For instance, motions sensors are connected to the RFID label or forklift that are further attached to the package. In the case of a forklift, it can be seen that the motion sensor helps in detecting the speed with respect to the proximity of bin. The information that has been obtained after this process is directly sent to the computer for analysis and identification of the issues. Finally, the motion sensor sends a command to the forklift for slowing down, blocking the movement, or alerting the driver in case of any identified issues.
In the research, it has been found that the Internet of Things (IoT) can be utilized in various kinds of ways for improving the overall operational efficiency of the distribution center or warehouse (Höller et al. 2014). It can be seen that the radio frequency devices and computers are not considered to be innovative technologies in the warehouse. With the evolution of artificial intelligence, it can be seen that the IoT devices are not only utilized for the collection of data but also they are being used for turning the gathered data into various kinds of intelligent commands and decisions for performing any kind of sensible actions. In the research it has been obtained that the warehouse operations are required to be modified with the increase in the complexity followed by the choices of the customers regarding their orders (Lee et al. 2018).
IoT can be utilized as an instrumental technology for collection of data regarding movement of the warehouse employees, the location of the inventory, and the temperature inside the warehouse. The list of benefits that can be obtained from the IoT as well as sensors within the warehouse are as follows:
In the research, it has been identified that the DHL supply chain is presently trying to follow the path of digitization with the implementation of Internet of Things technology within the warehousing for optimization of overall operational effectiveness followed by the development of safe working practices (Al-Fuqaha et al. 2015). It has been found that after collaboration with Conduce and Cisco, DHL is concentrating on testing the IoT technology at different pilot sites known to be Poland, Netherlands, and Germany. The IoT solutions are helping DHL for monitoring the overall operational activities in real-time with the help of receptive graphical visualization related to the operational data via sensors. DHL are actively introducing the IoT as a new form of digitization within the supply chain for revolutionizing the warehouse processes across whole value chain thereby reinventing the experience of the customers (Lee et al. 2018). In the video obtained from DHL Smart Warehouse it has been noted that by the year 2020 there is going to be about 50 billion objects which are going to be connected with each other via the Internet (DHL Smart Warehouse).
Several other researchers have identified that radio-frequency identification (RFID) tags, sensors, and innovative wearable devices have the capability to inform the warehouse managers regarding appropriate locations as well as the progress of any product in real-time (Li and Kara, 2017). It has also been identified that the ‘hands-free’ wearable devices are going to help the employees to access instructions and information while shifting from one place to another within the warehouse and does not fix the position of the employees within the workstation. Moreover, it can be seen that IoT results in reducing the utilization of manual labor thereby enhancing the shipping accuracy followed by speed. These processes further help in providing visibility within the supply chains and inventory. The most crucial benefits of IoT within the warehouse are as follows:
For improving the operational facility of a warehouse the first step taken is to obtain the information over the working time period in the warehouse. Various equipment and operational devices are monitored through the IoT application software which identifies that captures the data has done it for analysis. The data provides insight into the operational capabilities and the challenges faced by the particular warehouse (Vineela and Rani, 2015). The second step involved in improving the warehouse is identifying analyzing the crucial factors through which the changes are to be implemented fodder improvement in the performance of the operations. The process of identifying the existing congestion and labor operation in the warehouse is done to the heat map. The heat map identifies the accurate requirement of labor in the particular area with high heat signature and where the changes are to be introduced for the maximum efficiency and safety of the workplace in the warehouse (Marr 2015).
The heat map is the most suitable investment that and warehouse can implement for the detection and improvement of the traffic flow for minimizing the congestion and ensuring the safety of the employees and the equipment. Heat signatures are recorded through the census for detecting the maximum areas of traffic congestion and improving the architecture or placement of all the goods in the warehouse (Ivanov, Tsipoulanidis, and Schönberger, 2017). The heat map is implemented through the video analytics that records the current operation of the warehouse.
The high heat signatures recorded in the heat maps provide data about the high traffic in the warehouse. This data is used for determining the products which are in that particular area of high traffic (Marr 2017). Generally, these are the products which are trending when are most commonly used which can create congestion in the operation of the traffic flow of the warehouse. Along with the high traffic measurement the heat map of measure the areas of the warehouse which is least used. With the availability chart of the heat maps, various Optimization techniques can be implemented for the management of the traffic flow in the warehouse.
The heat map along with the detection of the high traffic areas also detect or predict the chance of collision in the various equipment in the warehouse. With this information, the supervisor can alert the employees in the warehouse and control their movement for the proper management of traffic flow. Through the heat maps, the supervisor is able to monitor the whole warehouse which is practically not possible without any support from Technology and computational facility (Richards 2017). The various equipment in the organization is detected with their RFID that records the authenticity and movement of the equipment in the warehouse. The location geotags are used that are updated throughout the day Thus the positioning and the location of the equipment hand employees that are present in front of the supervisor through the heat maps. Traffic flow of the warehouse is mapped against the warehouse layout in real time prove visual presentation. Analysis of the captured data is performed for a set of time frame. The performance of the different time frames is compared with each other for the optimization of the freed size acquisition (Kembro, Danielsson and Smajli, 2017).
Video Analytics is used in the warehouse for heat mapping for Optimisation of the operations in the warehouse. The traffic patterns can be observed in the warehouse which can be used for the optimization of the equipment used in the measurement of employee’s performance which increases the customer service operation. It includes the idea of warehouse conditions with strategic placement of the products to give the competitive edge with optimized traffic flow management. It provides faster operations with higher efficiency and quick delivery of the products from the warehouse to the delivery unit. Changes made in the warehouse can be tracked for the verification of the completion of the goal (Kembro, Danielsson and Smajli, 2017).
Tracking of the warehouse operations insight is used for determining the areas that require improvement and reorganization of the products. With the improvement of the traffic flow, it improves the customer’s experience by reducing the delivery time and delay?. It increases the overall efficiency of the warehouse operations through intelligent heat mapping of the warehouse operation. The application of the heat maps is highly appreciated in any warehouse for its evaluation of the picking performance. Fast tracking of the goods optimizes the picking youth of the product. Measurement of the volume as a truck turnover time counting the lot of the products films in faster loading of the products in the delivery trucks for shipping (Richards 2017). The information captured from the heat maps is analyzed with the ABC analysis for the classification of the products and the find the exact current location and determine the place where the products should be relocated for minimizing the traffic in the warehouse.
The heat map can revolutionize the operation management of a warehouse by generating the 2D or 3D maps of the packing facility. Optimization of the speaking facility reserves in faster movements of the storage management unit for delivering the product from one place to other. Optimization of the parking facility reduces the time required to search and deliver the product from its location to the shipping unit (Di Martino, Kwoczek, and Nejdl, 2017). Congestion free traffic in the warehouse reduces the chances of collision, increasing the safety in the workplace. The overall warehouse can be supervised through the heatmap software by the video Analytics. This provides the information for the efficient management while observing the safety in the warehouse.
The smoother layout of the traffic flows reduces the impacts and deletion in the warehouse. It minimizes the distance required by the units to travel and put or pick the right product from its place. The frequency of the analysis is increased by faster learning and quicker and smoother implementation of the new layout of the product placement (Esplugas and Parent, 2017). Replacement so quickly removes for engineering in the faster delivery service and safety in the warehouse. The heat map provides a virtual warehouse window for the unified view of the current units can be observed it is easier for detection of the solution or any safety concerns with the heat maps. The internet of things (IoT) provided valuable service towards a business by reducing the cost of operations and generates new revenues for the organization by improving the service level or operational efficiency.
References
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Da Xu, L., He, W. and Li, S., 2014. Internet of things in industries: A survey. IEEE Transactions on industrial informatics, 10(4), pp.2233-2243.
DHL Smart Warehouse. Retrieved from: https://www.youtube.com/watch?v=5zuyssUMGTc
Di Martino, S., Kwoczek, S. and Nejdl, W., 2017. Scalable Processing of Massive Traffic Datasets. In Smart Sensors Networks (pp. 123-142).
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Hassanalieragh, M., Page, A., Soyata, T., Sharma, G., Aktas, M., Mateos, G., Kantarci, B. and Andreescu, S., 2015, June. Health monitoring and management using Internet-of-Things (IoT) sensing with cloud-based processing: Opportunities and challenges. In 2015 IEEE international conference on services computing (SCC) (pp. 285-292). IEEE.
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