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.
I'm working on the most suitable allocation problem of physical distribution center and a poisonous snake by a genetic algorithm (GA) in the field of the logistics and the supply chain management (SCM).
The next figure is the example which solved a optimum arrangement problem of distribution centre in an actual area in GA. The left side is in the state grouped together at random first. That, ton x Kiro(baggage amount x distances) in each business office and physical distribution center repeats alternation of generations in GA, and searches the combination which becomes smallest. And the optimum arrangement result obtained finally starts to be a right figure.
・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.71,2016
・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
・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
・Logistics Operations, Supply Chain Management and Sustainability, Sala-ngam, Suzuki, Toyotani et.al., Springer, p.525, 2014
・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