Raising logistics performance to new levels through digital transformation

IF 4.9 Q1 BUSINESS

International Journal of Engineering Business Management Pub Date : 2024-02-07 DOI:10.1177/18479790241231730

H. Lam, V. Tang, L. Wong

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引用次数: 0

Abstract

In view of the higher demand and customer expectations on the speed and accuracy of e-commerce logistics service as well as the repetitive and time-consuming nature of manual order processing operation. This paper proposes a robotic process automation (RPA) model to liberate human resources over time-consuming, inefficient, non-value-added, and repetitive operational processes occupying workforces. This paper proposed an RPA model that integrates three functional RPA bots in (1) tracking order status, (2) capturing order data, and (3) verifying order data to increase the efficiency and accuracy of logistics operation and the order-handling process in small- and medium-sized enterprise (SME) logistics company. A case study was conducted on an SME logistics service providing customers with inbound and outbound operation services. The result demonstrated that the proposed model significantly improves logistics operations performance against a human approach concerning key indicators after implementation. Logistics companies could free up the workforce for value-creating activities in value-added services.

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通过数字化转型将物流绩效提升到新水平

鉴于客户对电子商务物流服务速度和准确性的更高要求和期望，以及人工订单处理操作的重复性和耗时性。本文提出了一种机器人流程自动化（RPA）模型，以解放人力资源，解决耗时、低效、无附加值和重复性操作流程占用劳动力的问题。本文提出的 RPA 模型集成了三个功能性 RPA 机器人：（1）跟踪订单状态；（2）捕获订单数据；（3）验证订单数据，以提高中小型企业（SME）物流公司物流操作和订单处理流程的效率和准确性。我们对一家为客户提供进出港操作服务的中小型物流服务公司进行了案例研究。研究结果表明，与人工方法相比，所建议的模型在实施后能显著提高物流运营绩效的关键指标。物流公司可以腾出劳动力从事增值服务方面的创造价值活动。

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

International Journal of Engineering Business Management BUSINESS-

CiteScore

7.50

自引率

6.10%

发文量

审稿时长

15 weeks

期刊介绍： The International Journal of Engineering Business Management (IJEBM) is an international, peer-reviewed, open access scientific journal that aims to promote an integrated and multidisciplinary approach to engineering, business and management. The journal focuses on issues related to the design, development and implementation of new methodologies and technologies that contribute to strategic and operational improvements of organizations within the contemporary global business environment. IJEBM encourages a systematic and holistic view in order to ensure an integrated and economically, socially and environmentally friendly approach to management of new technologies in business. It aims to be a world-class research platform for academics, managers, and professionals to publish scholarly research in the global arena. All submitted articles considered suitable for the International Journal of Engineering Business Management are subjected to rigorous peer review to ensure the highest levels of quality. The review process is carried out as quickly as possible to minimize any delays in the online publication of articles. Topics of interest include, but are not limited to: -Competitive product design and innovation -Operations and manufacturing strategy -Knowledge management and knowledge innovation -Information and decision support systems -Radio Frequency Identification -Wireless Sensor Networks -Industrial engineering for business improvement -Logistics engineering and transportation -Modeling and simulation of industrial and business systems -Quality management and Six Sigma -Automation of industrial processes and systems -Manufacturing performance and productivity measurement -Supply Chain Management and the virtual enterprise network -Environmental, legal and social aspects -Technology Capital and Financial Modelling -Engineering Economics and Investment Theory -Behavioural, Social and Political factors in Engineering