Abstract:Comdb2 is a distributed database system designed for geographical replication and high availability. In contrast with the latest trends in this field, Comdb2 o↵ers full transactional support, a standard relational model, and the expressivity of SQL. Moreover, the system allows for rich stored procedures using a dialect of Lua. Comdb2 implements a serializable system in which reads from any node always return current values. Comdb2 provides transparent High Availability through built-in service discovery and so… Show more
“…For example, one customers would like to pick up from node 1,18,7,12,13,6. The Test set is {1,18,7,12,13,6}.…”
Section: Customers Buying Product Extremely Far Away From Eachmentioning
confidence: 99%
“…Warehousing information often involves with the information related to the warehouse management and inventory control [6]. This article combines the traditional shortest path method which concerns with the location of the product as well as the destination in warehousing facilities and the technology-based warehousing information to constitute a more efficiency and timesaving management system.…”
Abstract. Shortest Path Algorithms can be utilized to find the shortest distance between one vertex to another in a graph for logistics applications. In IKEA warehouses, the efficiency is reduced when customers squander time repeating routes in picking up their desired furniture. The shortest path algorithm implemented in this paper is to be a proper means of demonstrating the most efficient route with restricted intermediate nodes for customers. Since the traditional shortest path algorithm presents random intermediate nodes along the shortest path from entrance to exit. We proposed a shortest path algorithm that is suited to this circumstance as we used Greedy Algorithm to divide the original problems into three, as well as Dijkstra algorithm for calculating the shortest distance between two nodes. The data required in the Dijkstra algorithm is stored in IKEA warehousing relational database which is designed in this paper for simulation.
“…For example, one customers would like to pick up from node 1,18,7,12,13,6. The Test set is {1,18,7,12,13,6}.…”
Section: Customers Buying Product Extremely Far Away From Eachmentioning
confidence: 99%
“…Warehousing information often involves with the information related to the warehouse management and inventory control [6]. This article combines the traditional shortest path method which concerns with the location of the product as well as the destination in warehousing facilities and the technology-based warehousing information to constitute a more efficiency and timesaving management system.…”
Abstract. Shortest Path Algorithms can be utilized to find the shortest distance between one vertex to another in a graph for logistics applications. In IKEA warehouses, the efficiency is reduced when customers squander time repeating routes in picking up their desired furniture. The shortest path algorithm implemented in this paper is to be a proper means of demonstrating the most efficient route with restricted intermediate nodes for customers. Since the traditional shortest path algorithm presents random intermediate nodes along the shortest path from entrance to exit. We proposed a shortest path algorithm that is suited to this circumstance as we used Greedy Algorithm to divide the original problems into three, as well as Dijkstra algorithm for calculating the shortest distance between two nodes. The data required in the Dijkstra algorithm is stored in IKEA warehousing relational database which is designed in this paper for simulation.
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