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2005, Control Engineering Practice
Abstract-An Automated Storage and Retrieval System (AS/RS) consists of several aisles with storage racks, serviced by cranes. Each aisle is equipped with a storage and a retrieval conveyor and is serviced by rail guided vehicles. This paper focuses on operational control of AS/RSs and presents a management strategy taking decisions on resource allocations in order to avoid conflicts and deadlocks. A Colored Timed Petri Net models the system dynamics describing the system in a resource oriented and modular framework.
2003 •
Abstract The industrial manufacturing environment is nowadays characterized by fierce global competition, rapid market changes and short product life cycles. Such a complex scenario originated a vast demand for sophisticated techniques guaranteeing adequate planning and control of warehouses. A widely used solution is to adopt Automated Storage and Retrieval Systems (AS/RSs). A typical AS/RS comprises a number of parallel aisles with storage racks, serviced by automated stacker cranes and rail guided vehicles.
Considers a modern warehousing system composed of a number of aisles, each one served by a crane and sided by a pair of racks, and a shuttle which moves along a 1D path placed orthogonally with respect to the aisles' axis. The main operations performed by the control system concern the optimization of the cranes and shuttle movements. Regarding the cranes, we propose an algorithm for optimizing the sequencing of dual command (storage and retrieval) cycles, so to maximize the throughput. As for the shuttle, an algorithm is proposed to optimize the scheduling of the shuttle operations; the performance of the algorithm is evaluated and compared with the case in which no optimization is considered. A further contribution of the paper is the derivation of the model of a real warehousing system, by means of a colored Petri net approach. Such a model is then used to show and validate the effectiveness of the proposed algorithms
2005 •
An Automated Storage and Retrieval System (AS/RS) automatically stores incoming material and retrieves stored parts with no direct human handling. This paper proposes a modular and unified modelling framework for heterogeneous automated storage and retrieval systems, comprising rail guided vehicles and narrow aisle cranes.
Computers & Industrial Engineering
Development of timed Colour Petri net simulation models for air cargo terminal operations2006 •
2019 Winter Simulation Conference (WSC)
Coordinated Control of Multi-Zone Avs/Rs, Conveyors And Pick-Up Operations In Warehouse System2019 •
2008 •
Abstract-- In recent years, the hybrid control framework has received much attention from the research community. Several variations of this control framework are available. In this paper, an actual industrial warehouse order picking problem where goods are stored at multiple locations and the pick location of goods can be selected dynamically in near real time, is considered. A hybrid intelligent agent based scheduling and control system architecture is presented for the order picking problem. The need for a higher level optimizer and communication between higher and lower level controllers is demonstrated. The presented architecture includes a higher level optimizer, a middle level guide agent, and lower level negotiation agents. A mathematical model and a genetic algorithm for the resource assignment problem are presented. Simulation results demonstrating efficiency of the new approach are also presented. Index Terms-- Hybrid framework, intelligent agent, warehouse management
International Journal of Simulation Systems Science & Technology
Understanding the IKEA Warehouse Processes and Modeling Using Modular Petri NetsAn analysis of the typical manufacturing/storage system, which represents a group of the discrete event systems, is introduced in the paper. For that system appropriate modelling tools are described where the main attention is devoted to the coloured Petri nets. They are used for the solution of the storage system modelling, which is one of the most important tasks on the DES higher level.
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