AI (Artificial Intelligence) and Management Issues
 Much of the global enterprise which has achieved rapid growth worldwide in recent years, Google and Amazon,Apple,Microsoft, optimistic, Yahoo! is mentioned. The management for which every enterprise used IT strategically is being performed.

The study which applies artificial intelligence and a genetic algorithm to various management issues is being performed at our laboratory. It's various management practice in the production management, the quality control and the enterprise to want to pay attention in particular. Declining birthrate aged society can be supported now with IT and IoT by automating these management practice by AI (Artificial Intelligence) and also automating a manufacturing premise by an industrial robot and automatic control.

For example, the following image shows the simulation when dealing with the optimal placement problem for an automated robotics warehouse. You can use data science and AI to find the optimal placement based on the big data of the large stock in the past.
initialPositions.jpg finalPositions.jpg
Following results are examples of AI analyzing concrete images and automatically judging the presence or absence of cracks. Work in high and dangerous places can be replaced with automatic work by robots. In addition, AI will be able to automatically judge symptoms that only experts could see.The figure below is examples of concrete images. Normal is a normal image without cracks, and Abnormal is an image with cracks. Also, in parentheses is the result of AI making a decision using a machine learning model called CNN. And the numbers show the percentage of that possibility.


The results below show which part of the image the AI refers to when making decisions. Visualization with GRAD-CAM as technology. The cracked area will be lighter in color. This is the evidence that AI refers to to determine the presence or absence of cracks.


DSC00802.jpg DSC00803.jpg
We are researching the use of AI to predict the amount of power generated by solar power generation. In addition to statistical methods, we are conducting research to predict illuminance with AI based on cloud images seen from the ground and information from illuminometers.

The following is the result of automatically taking pictures from the ground using an astronomical camera at regular intervals, excluding the sun, and automatically extracting only the cloud part (colored green in the image) by the program.


References
・Research on cloud extraction by color identification from sky camera images and fluctuations in solar radiation,Otake,Toyotani et al., IPSJ SIG Technical Report Vol.2021-IS-158 No.3,2021
・AI-based cloud movement detection from sky camera images,sakoh,Toyotani et al.,College of Industrial Technology Nihon University 53rd Academic Lecture,5-34,2021
・AI and programming languages ​​for management,Japan Society of Directories 23rd National Convention, Research Report Proceedings,p.11-14,2018
・HR technology and human resource development utilizing AI,Toyotani et al.,Proceedings of IPSJapan 81st National Convention,6J-05,2018
・A Study on Consolidated Optimal Stock Locations for lmport and Export Freight Flows in Thailand, Sarinya Sala-ngam, Yataka Karasawa, Jun Toyotani et al., International Journal of Logistics and SCM systems, Vol.9, p.71-81,2016
・Toward Sustainable Operations of Supply Chain and Logistics Systems, Sala-ngam, Suzuki, Toyotani et.al., Springer, p.207, 2015
・A Case of Intermediate Treatment Facilities in Chiba Japan, Sala-ngam, Suzuki, Toyotani et.al., ICLS, Proc. The 10th Intrnational Congress on Logistics and SCM Systems(ICLS), TA21, 2015
・Optimum Position in Office of Delivering Using Guide API,Toyotani et.al.,JOURNAL OF THE JAPAN SOCIETY OF LOGISTICS SYSTEMS,11/ 1, p.91, 2011
・A Basic Research on SCM Strategy Formulation Model, Chen, Wakabayashi, Toyotani et.al.,ICLS, Proc. The 10th Intrnational Congress on Logistics and SCM Systems(ICLS), TA23, 2015
・A Case Study of the Optimization of the Location Problem and the Delivery Vehicle Routing Problem for Post Office Center in Bangkok, Sala-ngam, Toyotani et.al., ICLS, Proc. The 10th Intrnational Congress on Logistics and SCM Systems(ICLS), 2015
PapersConferences(International&Domestic)