供应链控制塔:技术推动还是市场拉动——一种评估工具

IF 2.5 Q2 ENGINEERING, INDUSTRIAL
John Patsavellas, Rashmeet Kaur, Konstantinos Salonitis
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引用次数: 4

摘要

随着数字技术和连通性的迅速发展,在多个供应层之间实现供应链(SC)可见性,同时加快实现战略业务目标的速度,这一前提越来越受到关注。成功采用和实施这种技术的可行性和时机主要取决于每个组织的准备程度和具体需求,因此必须进行有见地的判断,因为获取、开发和掌握这种技术可能是昂贵的。本研究考察了数字SC控制塔和建筑在广泛调查和专家访谈的结果上实现的功能的市场拉动与技术推动组件,并提出了一个评估工具,以帮助考虑采用它们的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Supply chain control towers: Technology push or market pull—An assessment tool

Supply chain control towers: Technology push or market pull—An assessment tool

As digital technology and connectivity advance rapidly, the premise of bringing supply chain (SC) visibility across multiple tiers of supply, whilst facilitating the velocity to achieve strategic business objectives, is gaining interest. The feasibility and timing for successful adoption and implementation of such technology depend primarily on the readiness level and specific needs of each organisation, making it imperative to exercise insightful judgement as it can be expensive to acquire, develop and master. This research study examines the market pull versus technology push components of the functionalities enabled by digital SC control towers and buildings on the outcome of an extensive survey and expert interviews and proposes an assessment tool to aid decision making for the consideration of their adoption.

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来源期刊
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
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