Sun, Wei, Zhao, Yuanjun, Liu, Wei, Liu, Yanghui, Yang, Rongjun and Han, Chunjia (2022) Internet of things enabled the control and optimization of supply chain cost for unmanned convenience stores. Alexandria Engineering Journal (AEJ), 61 (11). pp. 9149-9159. ISSN 1110-0168 (Print), 2090-2670 (Online) (doi:10.1016/j.aej.2022.02.053)

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Abstract

In the context of “new retail“, various new retail models have appeared in the market one after another, such as unmanned retail, and unmanned convenience stores, which are based on a model in the unmanned retail industry. At present, unmanned convenience stores still have to deal with the challenges in operations, including difficulty in landing site selection, immature technology, and low public awareness. The most important issue is the supply chain cost control. It seems that operating methods that reduce costs through technical support cannot effectively control their costs. This article not only combines cost analysis methods such as flexible budgeting method to calculate and analyze the supply chain cost of unmanned convenience stores, but also proposes cost control methods from the perspective of supply chain management, and gives suggestions on the future development direction of unmanned convenience stores.

Item Type:	Article
Uncontrolled Keywords:	unmanned convenience store, supply chain cost, cost control, AI-signal processing
Subjects:	H Social Sciences > H Social Sciences (General) H Social Sciences > HF Commerce Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Greenwich Business School Greenwich Business School > School of Business, Operations and Strategy Greenwich Business School > School of Management and Marketing
Last Modified:	13 Mar 2026 16:06
URI:	https://gala.gre.ac.uk/id/eprint/52655

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