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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
Lubricant Storage
Published in R. David Whitby, Lubricant Blending and Quality Assurance, 2018
Cross-docking is the action of unloading materials from an incoming trailer or rail car and immediately loading these materials in outbound trailers or rail cars, thus eliminating the need for warehousing (storage). In reality, pure cross-docking is less common. Most cross-docking operations require large staging areas where inbound materials are sorted, consolidated and stored until the outbound shipment is complete and ready to ship. If cross-docking is part of a warehouse operation, verifying the logic the WMS uses to facilitate this will be required.
Inventory Management and Quality Control
Published in Sandeep Misra, Chandana Roy, Anandarup Mukherjee, Introduction to Industrial Internet of Things and Industry 4.0, 2021
Sandeep Misra, Chandana Roy, Anandarup Mukherjee
The raw materials, finished goods, and assets form the inventory of an organization. Inventory management is the process of management, storing, ordering, warehousing, and processing of inventory. To avoid shortages and fulfill the demand of customers, proper management of inventory is essential. In the case of companies with complex supply chains and manufacturing processes, appropriate inventory management is vital to keep track of the finished goods, amount of remaining raw materials, and finding the probable time for reordering inventory. The integration of advanced technologies with traditional inventory management processes may minimize the total cost of inventory, errors involved with the stock review process, and fulfill customers’ demands within the stipulated time. Smart sensors and Radio Frequency Identification (RFID) tags attached to machines and products help to track the items in real-time. The data sensed by these deployed sensor nodes are transmitted to the cloud for storage, processing, and analysis. Further, the real-time update of the inventory's location helps to monitor inventory. The amount of inventory required in the forthcoming industrial processes can be forecasted, and meaningful insights drawn from them from the analysis of collected data. Therefore, the manufacturers can jointly optimize the amount of on-hand inventory to be maintained and new inventory to be added to fulfill the customers’ requirements in the least amount of time. Moreover, the obstruction caused in the manufacturing processes due to improper utilization of resources and the unavailability of raw materials can be eliminated to a certain extent through inventory management and control. Additionally, the lead time1 required for inventory management is reduced with the help of IIoT-based technologies.
Stochastic internal task scheduling in cross docking using chance-constrained programming
Published in International Journal of Management Science and Engineering Management, 2020
Dollaya Buakum, Warisa Wisittipanich
Cross docking is a warehousing strategy that involves the movement of materials directly from a receiving dock to a shipping dock with minimal time in between. Most studies regarding operational decision level in a cross-docking terminal have focused on the assignment of trucks to dock doors, truck scheduling, and vehicle routing. In the real world, operational decision for internal task scheduling is a key factor for cross-docking implementation. The internal tasks involve activities accomplished by working teams and transferring tools between inbound and outbound dock doors of cross-docking terminals, for example, unloading, sorting, and loading. The lack of internal operational management in a cross-docking terminal may hinder a successful cross-docking implementation. Therefore, the research gap in the cross-docking platform must be filled by focusing on internal task scheduling with resource management in the cross-docking terminal.
Exceptional events classification in warehousing based on an integrated clustering method for a dataset with mixed-valued attributes
Published in International Journal of Computer Integrated Manufacturing, 2018
Nailiang Li, Chang Zhang, Weixing Xie, Yupeng Li
Warehousing is an integral part of a supply chain, and its effective management helps in reducing the inventory cost and delivery lead time (Atieh et al. 2016; Alyahya, Wang, and Bennett 2016). Further, it should be paid as much attention as the manufacturing process (Mishra et al. 2011). Gu, Goetschalckx, and Mcginnis (2007) presented a comprehensive review on warehousing and classified the problems in warehousing according to the basic warehouse functions. From the above research, it can be concluded that the problems in operational management for warehousing mainly focus on siting, design, scheduling and control. Huang et al. (2015) presented an integrated model for site selection and space determination for warehousing in a two-stage network, whose objective was to minimise the total transportation costs and operation costs of warehousing. Zhang et al. (2016) presented an integrated strategy that combines warehouse layout with the capacitated lot-sizing problem, in which a mixed-integer linear programming model was developed to formulate the integrated optimisation problem. A simulation based on warehouse design analysis for shuttle-based storage and retrieval system was presented by Ekren, Sari, and Lerher (2015), which aimed to determine the best rack design under class-based storage policy. Ma et al. (2015) proposed an algorithm called ensemble multi-objective biogeography-based optimisation (EMBBO) and developed an automated warehouse scheduling model. The scheduling problem was formulated as a constrained multi-objective optimisation problem and thereafter solved using EMBBO. However, there are few studies about the concrete problem of categorising EEs in warehousing.
Smart logistics based on the internet of things technology: an overview
Published in International Journal of Logistics Research and Applications, 2021
Yangke Ding, Mingzhou Jin, Sen Li, Dingzhong Feng
Warehousing refers to activities of storage and order fulfilment, including receiving, storage allocation, order picking, and truck loading. Efforts have been made to tackle the challenges arising from the complexity and variety of customer orders, such as low operation efficiency, poor storage space utilisation, misplaced stocks, and errors in inventory records (Lee et al. 2018; Lim, Bahr, and Leung 2013; Poon et al. 2009). Smart warehousing under the IoT framework has made important contributions to these efforts.