Intelligent Warehouse Management Research Articles

Research of Intelligent Warehouse Layout Base on Genetic Algorithm and Dynamic Programming

Intelligent warehouse management can effectively improve the work efficiency and decreasing operating costs for a company, and the reasonableness of warehouse layout has played a very important role in it. This paper will aim at the warehouse layout problem, analyze the superiority of genetic algorithm and dynamic programming for the problem, and base on the genetic algorithm, integrating the thoughts of dynamic programming to put forward an optimization strategy. It can improve the accuracy and efficiency of genetic algorithm by a modified encoding scheme and fitness function, in order to put forward a more optimal scheme of warehouse layout, provide the information base for following operation of warehouse management, and improve the intelligent level of warehouse management system.

Information Technology in Intelligent Warehouse Management System Based on ZigBee

Currently, RF technology for applications in logistics management, national research institutions and researchers devoted considerable effort. We also used some foreign advanced technologies in order to come to launch their own products, such as Shanghai Petrochemical BPM technology and logistics system will combine the ZigBee technology, the magnitude of such a system and application level information management further spread, which is the use of white sand and logistics jobs demand RFID technology to access cargo management, cargo inventory, position adjustment step, the basic realization of innovative research in the warehouse management system. Therefore, in the current intelligent warehouse management systems, wireless communication network technology applied to the management system has become an inevitable trend, on the one hand due to the wireless network can provide greater flexibility and mobility, in terms of eliminating a lot of wiring cost and effort, on the other hand it is more in line with internal information storage system data communications features in the future wireless network communication technology will further forward, so it will be able to greatly promote intelligent storage systems, networking process.

Instruments Warehouse Management System in Power Industry Based on Sensor Networks

By employing sensor technology, control and network communication technology, we develop an intelligent instrument warehouse management system (IWMS) oriented to a typical instrument warehouse in power industry. We develop, test and improve the control hardware module, the instrument status indication module and the related software program. We also make the operational processes, provide a visual and intuitive operator interface, and realize and optimize the functions such as account management, query, breakdown alert and repair report. The implementation in Dongguan Power Supply Bureau reveals that IWMS optimizes the check-in and check-out process for the instruments, shortens the registration time, achieves the goal of automatic statistics, and improves the efficiency for instrument management and the operation productivity.

Agent-supported simulation environment for intelligent manufacturing and warehouse management systems

The manufacturing field is an area where the application of simulation is an essential tool for validating methods and architectures before applying them on the factory floor and the warehouse control. Multiagent system technology has demonstrated its utility in manufacturing system modelling and implementation. Agenthood features such as proactivity, reactivity, sociability and trust may also be useful for associating them with the specific simulation needs of the new manufacturing and warehouse management requirements. In this article, we present an agent-supported simulation tool for an intelligent manufacturing system and its influence with the management of the warehouse applied to a metal-mechanic manufacturing enterprise. The main goal is to provide a flexible simulation tool that can be adapted to solve the new manufacturing requirements and optimise and validate methods of management of material in warehouses that appear in real environments. Thus, the benefits of the multiagent theory application for the simulation of intelligent manufacturing and warehouse management system allows the experts of manufacturing domains to optimise the resource usage, control of inventory, providers and to have enough data to make decisions that influence the production level are presented.