Abstract

With the rise of a consciousness in warehousing sustainability, an increasing number of autonomous vehicle storage and retrieval systems (AVS/RS) is diffusing among automated warehouses. Moreover, manufacturers are offering the option of equipping machines with energy recovery systems. This study analyzed a deep-lane AVS/RS provided with an energy recovery system in order to make an energy evaluation for such a system. A simulator able to emulate the operation of the warehouse has been developed, including a travel-time and an energy model to consider the real operating characteristics of lifts, shuttles and satellites. Referring to a single command cycle with a basic storing and picking algorithm for multiple-depth channels, energy balance and recovery measurements have been presented and compared to those of a traditional crane-based system. Results show significant savings in energy consumption with the use of a deep-lane AVS/RS.

Highlights

  • In recent years, an increasing consciousness in sustainable warehousing and energy efficient operations in warehousing has come about, due to both the growing of green awareness and energy resource scarcity [1]

  • Each satellite is charged when attached to its shuttle, so it is not involved in the calculation of the installed power

  • For each run of the simulation, energy consumption and energy recovery performances have been computed in order to evaluate energy sustainability of the system

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Summary

Introduction

An increasing consciousness in sustainable warehousing and energy efficient operations in warehousing has come about, due to both the growing of green awareness and energy resource scarcity [1]. The interest shown by companies on issues related to sustainability in logistics is highlighted by the increasing number of works on lean and green logistics [2] This trend has been especially verified with regards to Automated Storage and Retrieval Systems (AS/RS) [3,4], where energy saving, both in terms of energy efficiency and reduction of carbon dioxide emissions, has become one of the most significant performances to be achieved within a sustainable perspective [5]. Recent studies show that the traditional time-based perspective has been overcome by the importance of sustainable and energy efficient operations in material handling processes [6].

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