164 research outputs found
Design and Simulation Analysis of Deep Learning Based Approaches and Multi-Attribute Algorithms for Warehouse Task Selection
With the growth and adoption of global supply chains and internet technologies, warehouse operations have become more demanding. Particularly, the number of orders being processed over a given time frame is drastically increasing, leading to more work content. This makes operational tasks, such as material retrieval and storage, done manually more inefficient. To improve system-level warehouse efficiency, collaborating Autonomous Vehicles (AVs) are needed. Several design challenges encompass an AV, some critical aspects are navigation, path planning, obstacle avoidance, task selection decisions, communication, and control systems. The current study addresses the warehouse task selection problem given a dynamic pending task list and considering multiple attributes: distance, traffic, collaboration, and due date, using situational decision-making approaches.
The study includes the design and analysis of two situational decision-making approaches for multi-attribute dynamic warehouse task selection: Deep Learning Approach for Multi-Attribute Task Selection (DLT) and Situation based Greedy (SGY) algorithm that uses a traditional algorithmic approach. The two approaches are designed and analyzed in the current work. Further, they are evaluated using a simulation-based experiment.
The results show that both the DLT and SGY have potential and are effective in comparison to the earliest due date first and shortest travel distance-based rules in addressing the multi-attribute task selection needs of a warehouse operation under the given experimental conditions and trade-offs
Operational Control of Internal Transport
Operational Control of Internal Transport considers the control of guided vehicles in vehicle-based internal transport systems found in facilities such as warehouses, production plants, distribution centers and transshipment terminals. The author's interest of research having direct use for practice has resulted in a combination of theoretical and practical research in vehicle-based internal transport systems. An overview is given of the related literature and results are presented that show how different vehicle dispatching rules behave in different environments
The co-incident flow of work pieces and cutting tools in a restricted category of flexible machining cells
The work reported in this thesis describes research carried out into the detailed design
and operation of Flexible Machining Cells (FMC) incorporating automated work and tool
flow, dual flow. Three modes of cell management are considered for dual flow cells,
where the author examines both their operational and economic performance.
A framework is defined for investigating these dual flow cells, and a structured approach
providing a novel and detailed modelling capability is described. The question of how
this approach compares to single flow modelling and the additional or alternative
requirements for dual flow modelling is examined via the following key areas; the
specification of material handling requirements, tool transportation and issue and finally,
the control required to examine the interaction between the two flows operating
concurrently.
The framework is tested for its industrial applicability via an industrial case study. A
major aim of this study is to examine the view that a hybrid cell management strategy,
competitive management, could outperform the other strategies examined.
The aim of this methodology is to provide a solution for the control of FMCs. Emphasis
is placed on the ease of control and how the loading and control rules selection can
maximise economic enhancement of a cells performance
A study of alternative forms of flexible manufacturing systems
The study relates to manufacturing conditions in a
particular company. Flow synthesis and cell formation analysis
have been conducted. A modification of methodology proposed by
other researchers has assisted analysis.
The main investigation is concerned with modelling,
simulation and evaluation of seven alternative FMS configurations
conceived for the machining cell manufacturing prismatic parts.
The alternative systems encompass 6 CNC machines with (i) manual
transport of materials and tools, (ii) with two and four station
automated pallet changers, (iii) conveyor system, (iv) stacker
crane, (v) rail guided shuttle, and (vi) AGV transport. [Continues.
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