Back Issues 11-20

DISCUSS THE EFFICIENCY EVALUATION OF WIRELESS CHARGING TECHNOLOGY WITH THE NEWLY DEVELOPED DEA MODEL: TAKING THE AUTONOMOUS MOBILE ROBOT (AMR) AS AN EXAMPLE

Hsiang-Chen Hsu

Shui-Cheng Huang*

Mu-Lin Chiou

Shun-Yuan Yao

Department of Industrial Management,

I-SHOU University, Taiwan (R.O.C)

*Corresponding author: hgd866717This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

According to the information provided by Yano Research Institute (2021): "The global wireless power supply market is continuing to expand at an annual rate of more than 10%, and it is estimated that by 2031 it will grow compared to 2021 About 3.6 times." In other words, in the future vision of Smart City, the development of Wireless Charging Technology, that is, "how to optimize the supply and demand control of energy" is definitely a very important issue. In contrast, if the wireless charging technology can be applied to the unmanned transportation system to replace the annoying problems of manpower support and complex wiring engineering of traditional wired charging and so on, Then it will definitely be able to reduce labor costs and improve the safety and efficiency of work; at the same time, it can even achieve the goal of automated factory and implement 24-hour work as an unmanned chemical factory. In this article, the tEWM-AR model (the newly developed DEA model) is used for efficiency evaluation, which not only has the characteristics and benefits of convenient operation and direct contact with the Experts, but also will be another evaluation method that approximates the real state of the statistical population. Furthermore, when 'AMR's wireless charging technology can overcome the cost problem in the short term, and truly achieve a positive correlation with the global development trend', in this case, two helpful results will be obtained: (1) It can help related industry to carry out a comprehensive digital transformation and the goal of "smart factory, factory with lights off". (2) At the same time, it can also provide relevant decision-makers in the industry with another operation strategy of highly efficient 'unmanned economy' and 'reduced labor costs'.

Keywords: wireless charging ; Autonomous Mobile Robot (AMR) ; Data Envelopment Analysis (DEA) ; tEWM-AR (Three-Stage Weighted Proportional Interval Estimation) Model