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Smart Warehouses in Logistics 4.0
Published in Turan Paksoy, Çiğdem Koçhan, Sadia Samar Ali, Logistics 4.0, 2020
Muzaffer Alιm, Saadettin Erhan Kesen
Warehouse Management System (WMS) is a software that performs the management of warehousing and its operations. It guides planning, optimising, and controlling of the daily warehouse operations starting from receiving the products to shipment. Addition to the efficient use of storage areas, another purpose of WMS is to make the most efficient use of other resources such as warehouse elements, handheld terminals and transport vehicles and operators. The benefits of having an effective WMS can be listed as; Increasing the efficiencyMonitoring the inventory and whole operations in real timeSpeeding up the process of order preparing and shipmentBetter management for the use of resourcesIncreasing the accuracy of satisfying customers’ ordersMaintaining the integration between the unitsReducing the operational costsEnabling to easily report and online management as paperlessKeeping record of all activities, help to monitor the performance of the warehouse
Technologies Supporting Supply Chain Safety Management
Published in Andrzej Szymonik, Robert Stanisławski, Supply Chain Security, 2023
Andrzej Szymonik, Robert Stanisławski
A warehouse management system (WMS) is an IT solution for managing the material flow in warehouses or distribution centers, commonly referred to by logisticians as a system for managing a high-storage warehouse. It supports the implementation and control of the flow through the warehouse and provides information about this flow and the creation of documentation accompanying this flow (Ramaa et al., 2012).
Lubricant Storage
Published in R. David Whitby, Lubricant Blending and Quality Assurance, 2018
A WMS is a key part of the supply chain and primarily aims to control the movement and storage of materials within a warehouse and process the associated transactions, including shipping, receiving, putaway and picking. The systems also direct and optimise stock putaway based on real-time information about the status of bin or rack utilisation.
Design and application of Internet of things-based warehouse management system for smart logistics
Published in International Journal of Production Research, 2018
C.K.M. Lee, Yaqiong Lv, K.K.H. Ng, William Ho, K.L. Choy
Application of IoT-based WMS has become popular. RFID technology is widely adopted in warehouse management, as the technology allows trace and track and identification of specified objects. Chow et al. (2006) proposed a RFID-based WMS for the retrieval and matching process of customer orders to enhance the throughput of the warehouse and provide an accurate inventory monitoring system. Poon et al. (2009) utilised RFID-based order-picking operations to reduce the likelihood of operational errors. Besides, the integration of RFID-based WMS and Enterprise Resource Planning encourage the development of Event-driven Process Chains (EPC) in business process management (Liu, Jeng, and Chang 2008). Furthermore, WSNs is another complementary research approach in assisting information extraction on the conditions of objects. However, it is challenging in data acquisition, distribution and mining (Wang et al. 2014). In order to obtain complete logistics order tracking in the tobacco supply chain, the tracking and delivery in in-bound and out-bound logistics was reviewed by Jiang and Su (2013) employing Global Positioning System (GPS), Geographic Information System (GIS) and General Packet Radio Service (GPRS). Yang (2012) proposed a location-based system for forklifts in order to monitor the logistics activities in an intelligent warehouse.
Data-driven hierarchical learning and real-time decision-making of equipment scheduling and location assignment in automatic high-density storage systems
Published in International Journal of Production Research, 2022
Zhun Xu, Liyun Xu, Xufeng Ling, Beikun Zhang
The installation of a tier-to-tier AHDSS is illustrated in Figure 1. Two rows of stereoscopic storage racks form a row of lanes, and the shuttle can move along each track of the racks. Each tier of the rack is assigned a buffer position to cache the cargo containers. Two compound lifts are set up at the entrance of each lane, and in the case of a single-command cycle, one serves as a shuttle-lift, and the other as a cargo-lift. The shuttles can cross the tier through shuttle lifts, and the cargo container can be transported through cargo lifts. Each type of cargo has multiple storage locations on different racks. The inbound and outbound system operations comprise equipment scheduling and cargo location assignment. Equipment scheduling requires the coordination of shuttles and lifts. The WMS monitors the status of material handling equipment, cargo locations, and buffer positions in the system, and plans the work to be performed based on the order plan and movement requirements. If limited equipment resources are available, adopting reasonable equipment scheduling and location assignment schemes can shorten the idle waiting time of equipment, improve the equipment utilisation rate, and reduce the operation time (Liu et al. 2021a). Queuing theory, mixed-integer programming, and optimisation algorithms are generally used to model and solve equipment scheduling and location assignment problems. However, the order task scenario of the e-commerce logistics industry is prone to sudden requests, such as emergency orders, order insertion, and a sharp increase in order tasks. The aforementioned traditional modelling and solving methods result in complex models with poor real-time performance, which makes it difficult to meet the requirements of large task changes and frequent system responses. Traditional classical dispatching rules (DRs) have good real-time performance; however, it is difficult to meet the requirements of high throughput because of their low operational efficiency and equipment utilisation.