Purpose

The purpose of this paper is to consider three factors, namely, intra-week demand fluctuations, interrelationship between the number of robots and order scheduling and conflicting objectives (i.e. cost minimization and customer satisfaction maximization), to optimize the robot logistics system.

Design/methodology/approach

The number of robots and the sequence of delivery orders are first optimized using the heuristic algorithm NSGACoDEM, which is designed using genetic algorithm and composite difference evolution. The superiority of this method is then confirmed by a case study of a four-star grade hotel in South Korea and several comparative experiments.

Findings

Two performance metrics reveal the superior performance of the proposed approach compared to other baseline approaches. Results of comparative experiments found that the consideration of three influencing factors in the operation design of a robot logistic system can effectively balance cost and customer satisfaction over the course of a week in hotel operation and optimize robot scheduling flexibility.

Practical implications

The results of this study reveal that numerous factors (e.g. intra-week demand fluctuations) can optimize the performance efficiency of robots. The proposed algorithm can be used by hotels to overcome the influence of intra-week demand fluctuations on robot scheduling flexibility effectively and thereby enhance work efficiency.

Originality/value

The design of a novel algorithm in this study entails enhancing the current robot logistics system. This algorithm can successfully manage cost and customer satisfaction during off-seasons and peak seasons in the hotel industry while offering diversified schemes to various types of hotels.

中文翻译：

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考虑酒店业需求波动的机器人物流系统运行设计

目的

本文的目的是考虑周内需求波动、机器人数量与订单调度之间的相互关系以及相互冲突的目标（即成本最小化和客户满意度最大化）三个因素来优化机器人物流系统。

设计/方法论/途径

首先使用启发式算法 NSGACoDEM 对机器人数量和交货订单顺序进行优化，该算法是使用遗传算法和复合差分进化设计的。然后通过韩国一家四星级酒店的案例研究和多次对比实验证实了该方法的优越性。

发现

两个性能指标揭示了所提出的方法与其他基线方法相比的优越性能。对比实验结果发现，在机器人物流系统的运营设计中考虑三个影响因素，可以有效平衡酒店一周运营过程中的成本和客户满意度，优化机器人调度灵活性。

实际影响

这项研究的结果表明，许多因素（例如周内需求波动）可以优化机器人的性能效率。酒店使用该算法可以有效克服周内需求波动对机器人调度灵活性的影响，从而提高工作效率。

原创性/价值

本研究中新型算法的设计需要增强当前的机器人物流系统。该算法能够成功管理酒店行业淡季和旺季的成本和客户满意度，同时为各类酒店提供多样化的方案。