Energy harvesting for automated storage and retrieval system with sustainable configuration of storage assignment and input/output point

IF 8.3 1区 工程技术 Q1 ECONOMICS
Zakka Ugih Rizqi , Shuo-Yan Chou , Adinda Khairunisa
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引用次数: 0

Abstract

The warehouse automation market has experienced significant growth due to the necessity for quick responses to customer needs. The adoption of Automated Storage and Retrieval System (AS/RS) aims to enhance operational efficiency and expedite order fulfillment, although environmental considerations are frequently overlooked. This study introduces the implementation of energy harvesting using Regenerative Braking System (RBS) on AS/RS to minimize the carbon emission impact. The best configuration of storage assignments and Input/Output (I/O) points is examined to improve travel time, response time, and carbon emission as sustainability indicators. This study employs a discrete-event simulation mimicking the AS/RS and warehouse environment under uncertainty. Simulation-based experiment was performed under 96 different scenarios and the result was assessed through statistical tests revealing the main and interaction effects between factors to performance indicators, including the trade-off between them. The result reveals that the implementation of RBS in AS/RS can result in 13% energy saving on average or equal to additional travel range of 28,800 m indicating the suitability adoption towards green operation. However, the lowest carbon emission is followed by higher travel time and response time. Thus, metamodel-based optimization was also performed via desirability function analysis. The optimization result reveals that the sustainable AS/RS configuration is obtained with a single-side for I/O point, non-class for storage classification, closest open location with column-order for slot selection, and closest open location with row-order for retrieval selection.

可持续配置存储分配和输入/输出点的自动存储和检索系统的能量收集
由于必须快速响应客户需求,仓库自动化市场经历了大幅增长。采用自动存储和检索系统(AS/RS)的目的是提高运营效率,加快订单执行速度,但环境因素往往被忽视。本研究介绍了利用再生制动系统(RBS)在自动仓储和检索系统上实施能量收集,以最大限度地减少碳排放影响。研究了存储分配和输入/输出(I/O)点的最佳配置,以改善作为可持续发展指标的旅行时间、响应时间和碳排放。本研究采用离散事件仿真模拟不确定条件下的自动仓储系统和仓库环境。在 96 种不同情景下进行了模拟实验,并通过统计检验对结果进行了评估,揭示了各因素对性能指标的主要影响和交互影响,包括它们之间的权衡。结果表明,在自动仓储系统/自动仓库系统中实施 RBS 系统可平均节能 13%,相当于增加 28 800 米的行程,这表明采用 RBS 系统适合绿色运营。然而,碳排放量最低的同时,旅行时间和响应时间却增加了。因此,还通过可取性函数分析进行了基于元模型的优化。优化结果显示,可持续的自动仓储系统配置为:输入/输出点为单侧,仓储分类为非类,槽位选择为按列顺序排列的最近开放位置,检索选择为按行顺序排列的最近开放位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
16.20
自引率
16.00%
发文量
285
审稿时长
62 days
期刊介绍: Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management. Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.
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