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Estimating travel times in dual shuttle AS/RSs.: A revised approach

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Article history: Received June 15 2018 Received in Revised Format November 6 2018 Accepted December 7 2018 Available online December 7 2018 Automated Storage and Retrieval Systems (AS/RSs) effectively support… Click to show full abstract

Article history: Received June 15 2018 Received in Revised Format November 6 2018 Accepted December 7 2018 Available online December 7 2018 Automated Storage and Retrieval Systems (AS/RSs) effectively support warehouse operations in order to increase production and logistics efficiency. Literature about travel time computation in multi-shuttle AS/RSs still needs to be enhanced since most of the existing contributions rely on the same formulation, namely the Meller and Mungwattana’s equation. Based on wellestablished theoretical assumptions and on a simulation model, the present work puts forward a revised version of the Meller and Mungwattana’s formula for dual shuttle systems. In particular, the constant factor multiplying the travel between time is replaced by a coefficient depending on the rack configuration and on the input and output points of the storage system. The new equation is tested against widely applied models for AS/RS travel time calculation and proves to result in shorter times than the original Meller and Mungwattana’s equation. A linear regression analysis is completed in order to find a numerical formulation of the proposed coefficient. Taking into account some key physical characteristics of a warehouse while estimating travel times allows improving the design and management of storage areas. Future research will focus on deepening multi-shuttle travel time calculation by addressing crane acceleration and deceleration, different rack and crane configurations, as well as class-based storage. © 2019 by the authors; licensee Growing Science, Canada

Keywords: dual shuttle; travel; travel times; estimating travel; shuttle rss; travel time

Journal Title: International Journal of Industrial Engineering Computations
Year Published: 2019

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