6 research outputs found

    Urban Parcel Logistics Hub and Network Design: The Impact of Modularity and Hyperconnectivity

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    This paper examines how exploiting the hyperconnectivity and modularity concepts underpinning the Physical Internet enables the parcel logistics industry to meet the worldwide challenges to efficiently and sustainably offer faster and more precise deliveries across urban agglomerations, notably across the world’s megacities. It emphasizes disruptive transformations of package logistics hubs and networks, such as multi-tier world pixelization, multi-plane parcel logistics web, smart dynamic parcel routing and hub-based consolidation, and modular parcel containerization

    A Simulation Model to Evaluate the Layout for Block Stacking Warehouses

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    Storing pallets of Stock Keeping Units (SKU\u27s) on top of another in lanes on a warehouse floor is known as block stacking. This storage system is widely used in manufactoring systems and distribution centers. The arrangement of lanes in the layout of this system significantly impacts utilization of the storage space and transportation costs. Existing research that studies the layout for this system focuses exclusively on determining the optimal lane depth with respect to space utilization and ignores transportation costs. In this study, we develop a stimulation model that computes several performance metrics to evaluate both of these objectives for a warehouse layout. It aims to take the stochastic variations exists in the real world situation into account. Designing the layout based on the historical data distinguishes this model from the analytical models in the systems with high level of uncertainty, where determining the required parameters for analytical models are difficult due to the high variations. We verified the model using the existing analytical models and developed and transportation costs in the layout design problem

    Optimizing kitting cells in mixed-model assembly lines

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    The evolution of assembly lines towards the production of highly customized goods requires some organizational changes. The use of kits, providing presorted parts to assembly stations, was initiated by the need to supply a multitude of parts and their variants to the assembly line. In this paper, we investigate the kitting cell design problem and propose an optimization model to minimize the material handling, investment, and space costs for kitting cells. We show that applying our model to an automotive company's kitting cell can reduce the total cost by approximately up to 11% compared with heuristics approaches. Copyright (C) 2021 The Authors
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