233 research outputs found

    Breakout Session E-1: Resilience

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    Economic and Performance Analysis of Dual-bay Vertical Lift Modules

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    Warehouse picking is one of the most time and cost consuming activities in a warehouse, often requiring the presence of human operators, who travel within the aisles to retrieve the items needed by the customers. Several studies demonstrate that the travelling activity can represent even the 50% of the total picking time, with a subsequent creation of a separate storage and picking area for small objects. In the last years, new solutions for order picking systems have been developed, especially for small items. One of these solutions requires Vertical Lift Modules (VLMs), storage columns with extractable trays. In this paper, the employ of dual-bay VLMs, compared to a carton racks warehouse, has been analysed from an economic point of view. Some mathematical formulations have been developed, to estimate the total annual cost and the respective convenience limits of both systems, according to their productivity. Moreover, some useful guidelines for practitioners are derived

    Panel Session #1: Production Logistics in the Industrie 4.0 Era

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    Panel Session 1 Panelists: Kai Furmans, Fabio Sgarbosse, Tone Lehrer Moderator: David Porte

    Warehouse robotization with Wheel.me genius: A puzzle-based movable racks system

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    In this paper, we first introduce a new type of warehouse which combines the properties and operations of puzzle-based storage systems and robotic mobile fulfillment. Thanks to a long-term collaboration between the Logistics 4.0 Lab at NTNU and wheel.me, we have introduced and explored a new configuration called Puzzle-Based Movable Rack (PBMR) system where racks can be moved with autonomous wheels. One additional advantage of such system is that movable racks can move diagonally. We model and analyze the system studying different configurations and showing the impact on density and average cycle time/throughput. We finally introduce potential future research for such system

    preventing ergonomic risks with integrated planning on assembly line balancing and parts feeding

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    In this paper, we advise to perform assembly line balancing simultaneously with decision-making on parts feeding. Such integrated planning may open additional potential to reduce labour costs. Additional planning flexibility gained with the integrated planning may be used to mitigate ergonomic risks at workplaces. We formulate the integrated assembly line balancing and parts feeding planning problem, propose a mixed-integer model and compare integrated planning to a common hierarchical planning approach in a detailed case study on the assembly of a self-priming pump. Our case study illustrates that workplaces with high ergonomic risks may emerge even in productions that involve handling parts and workpieces of low weights and avoid static and awkward postures. We also show that the proposed integrated planning approach may eliminate excessive ergonomic risks and improve productivity indicators simultaneously

    Conventional or additive manufacturing for spare parts management: An extensive comparison for Poisson demand

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    Due to the main peculiarities of spare parts, i.e. intermittent demands, long procurement lead times and high downtime costs when the parts are not available on time, it is often difficult to find the optimal inventory level. Recently, Additive Manufacturing (AM) has emerged as a promising technique to improve spare parts inventory management thanks to a ‘print on demand’ approach. So far, however, the impact of AM on spare parts inventory management has been little considered, and it is not yet clear when the use of AM for spare parts inventory management would provide benefits over Conventional Manufacturing (CM) techniques. With this paper we thus aim to contribute to the field of AM spare parts inventory management by developing decision trees that can be of support to managers and practitioners. To this aim, we considered a Poisson-based inventory management system and we carried out a parametrical analysis considering different part sizes and complexity, backorder costs and part consumption. Moreover, we evaluated scenarios where the order-up-to level is limited to resemble applications with a limited storage capacity. For the first time, the analysis was not limited to just one AM and one CM technique, but several AM and CM techniques were considered, also combined with different post-process treatments, for a total of nine different sourcing alternatives. In addition, the economic and technical performance of the different sourcing options were obtained thanks to an interdisciplinary approach, where experts from production economics and material science were brought together
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