能耗在机器人移动履行系统中的作用:性能评估和具有动态优先权的运行策略

IF 6.7 2区 管理学 Q1 MANAGEMENT Omega-international Journal of Management Science Pub Date : 2024-08-10 DOI:10.1016/j.omega.2024.103168
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引用次数: 0

摘要

机器人移动履约系统(RMFS)广泛应用于仓储和物流领域,需要许多机器人以电力为动力,这极大地影响了能源消耗。本文研究了传统电子商务环境下 RMFS 的能耗,该环境将订单分为普通订单和加急订单。我们评估了三种动态优先级策略(最早截止时间优先策略、等待时间相关策略和加权等待时间优先策略)对吞吐时间和能耗的影响。本文提出了具有动态优先权策略的多类半开放式排队网络模型(SOQN)来研究能耗。我们通过仿真模型验证了分析模型的准确性。本文的贡献如下:(1)在方法论方面,我们提出了解决具有动态优先权策略的 SOQN 的新方法。(2) 在运营规划和控制方面,我们是最早研究动态优先级策略对 RMFS 中订单吞吐时间和能耗影响的研究者之一。(3) 在优化设计方面,我们提出了优化机器人数量的决策工具,以最小的能耗实现所需的吞吐时间。我们的模型还能决定最佳仓库形状,以最大限度地降低能耗。(4) 在系统分析方面,我们估算了 RMFS 中每笔交易的能耗,为物流管理者提供了仓库节能的见解。
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The role of energy consumption in robotic mobile fulfillment systems: Performance evaluation and operating policies with dynamic priority

The robotic mobile fulfillment system (RMFS), with wide application in warehousing and logistics, requires many robots powered by electricity, which significantly impacts energy consumption. This paper investigates the energy consumption in the RMFS under a classic e-business environment, which classifies the orders into regular orders and expedited orders. We evaluate the impact of three dynamic priority policies (the earliest deadline first policy, waiting time-dependent policy, and weighted waiting time first policy) on throughput time and energy consumption. This paper proposes multi-class semi-open queuing network models (SOQN) with dynamic priority policies to investigate energy consumption. We validate the accuracy of the analytical models by simulation models. This paper makes the following contributions: (1) In methodology, we propose new methods to solve the SOQN with dynamic priority policies. (2) In operational planning and control, we are among the earliest to investigate the impact of dynamic priority policies on order throughput time and energy consumption in an RMFS. (3) In design optimization, we propose a decision tool to optimize the robot number for realizing the required throughput time with minimal energy consumption. Our model can also decide the optimal warehouse shape to minimize energy consumption. (4) In system analysis, we estimate the energy consumption per transaction in an RMFS, providing logistics managers insights into energy saving of warehouses.

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来源期刊
Omega-international Journal of Management Science
Omega-international Journal of Management Science 管理科学-运筹学与管理科学
CiteScore
13.80
自引率
11.60%
发文量
130
审稿时长
56 days
期刊介绍: Omega reports on developments in management, including the latest research results and applications. Original contributions and review articles describe the state of the art in specific fields or functions of management, while there are shorter critical assessments of particular management techniques. Other features of the journal are the "Memoranda" section for short communications and "Feedback", a correspondence column. Omega is both stimulating reading and an important source for practising managers, specialists in management services, operational research workers and management scientists, management consultants, academics, students and research personnel throughout the world. The material published is of high quality and relevance, written in a manner which makes it accessible to all of this wide-ranging readership. Preference will be given to papers with implications to the practice of management. Submissions of purely theoretical papers are discouraged. The review of material for publication in the journal reflects this aim.
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