将人为因素纳入货物和快速消费品的配送模式,以实现有效的库存控制

IF 4.9 Q1 BUSINESS
Afolabi Ogbeyemi, Akinola Ogbeyemi, Wenjun Zhang
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引用次数: 0

摘要

多种因素导致以商品和其他快速消费品(FMCG)配送为重点的电子商务系统内的工作流程管理出现中断。这些干扰尤其影响和增加了交货时间,并造成频繁的装运延误。近年来,人们广泛猜测这些中断的原因,特别是在货物配送和快速消费品库存控制方面。鉴于最近发生的中断事件,本文介绍的研究采用了一种称为统计模型分析(SMA)的方法来研究仓库配送系统中人为因素(HFs)对系统性能的影响。通过对一家名为 ABC 和 XYZ 的特定公司进行案例研究,对一些特定人为因素(如工作疲劳和工作轮换等)的影响进行建模,并揭示配送系统内持续中断背后的根本原因。具体来说,本研究的结果旨在提供对这些问题的数据驱动式理解,本研究的贡献之一是加强了我们对这些高频因素重要性的理解,而不是像之前的研究那样将重点放在设备和材料上。通过这项以数据为基础的研究,运营管理、电子商务和供应链系统中的利益相关者将在许多方面获得充分信息,以解决系统中人类面临的挑战,从而提高系统的整体性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating human factors into the distribution model of goods and fast-moving consumer goods for effective inventory control
Multiple factors contribute to the occurrences of disruptions in workflow management within the e-commerce system that focuses on the distribution of goods and other fast-moving consumer goods (FMCG). These disruptions have particularly affected and increased lead times and caused frequent shipment delays. The causes of these disruptions, especially in the context of distribution of goods and FMCG towards inventory control, have been widely speculated upon in recent years. Given the recent interruptions, the study presented in this paper used a methodology called statistical model analysis (SMA) to study the impact of human factors (HFs) on the system performance in a warehouse distribution system. A case study was taken on a particular company called ABC and XYZ to model the impact of some specific HF such as job fatigue, and job rotation to name a few and to uncover the underlying reasons behind the ongoing disruptions within the distribution system. Specifically, the result of this study aims to provide a data-driven understanding of these issues and one of the contributions of this study is to enhance our understanding of the significance of these HFs, rather than focusing on the equipment and materials as seen in prior research. Through this data-based approach study, stakeholders in operations management, e-commerce, and the supply chain system would be well-informed in many ways to resolve the challenges faced by humans in the system towards enhancing their overall system performance.
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来源期刊
CiteScore
7.50
自引率
6.10%
发文量
17
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
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