Leveraging on the Digital Twin for improving retail store daily operations management

Author:

Maizi Yasmina,Bendavid Ygal

Abstract

With the fast development of IoT technologies and the potential of real-time data gathering, allowing decision makers to take advantage of real-time visibility on their processes, the rise of Digital Twins (DT) has attracted several research interests. DT are among the highest technological trends for the near future and their evolution is expected to transform the face of several industries and applications and opens the door to a huge number of possibilities. However, DT concept application remains at a cradle stage and it is mainly restricted to the manufacturing sector. In fact, its true potential will be revealed in many other sectors. In this research paper, we aim to propose a DT prototype for instore daily operations management and test its impact on daily operations management performances. More specifically, for this specific research work, we focus the impact analysis of DT in the fitting rooms’ area.

Publisher

CAL-TEK srl

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Leveraging the Prototyping of Digital Shadows - A Smart Shelf Case Study;2023 15th IEEE International Conference on Industry Applications (INDUSCON);2023-11-22

2. Digital twin and its applications in the construction industry: A state-of-art systematic review;Digital Twin;2023-10-30

3. Metaverse and Digital Twins;Management and Marketing for Improved Retail Competitiveness and Performance;2023-06-30

4. A Framework for Shopping Based on Digital Twinning in the Metaverse World;Studies in Big Data;2023

5. Digital twin and its applications in the construction industry: A state-of-art systematic review;Digital Twin;2022-10-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3