Over the years, manufacturing enterprises have greatly improved production efficiency and liberated the work intensity of workers through technological transformation such as industrial automation and automatic detection data acquisition. Enterprises through the implementation of ERP, MES, WMS and other industrial software, in all kinds of business process management has also been greatly improved and achieved good benefits. However, in the case of increasingly prominent personalization, multi-variety and a large number of uncertainties in the production site, the mode of manual operation by decision managers relying on manual experience has been unable to meet the current needs of enterprises, and it is urgent to carry out decision management through artificial intelligence-based intelligent decision-making tools to improve the overall management efficiency and quality of enterprises and reduce costs.

Professor Shi Leyuan and his team have more than 20 years of experience in the implementation of operations engineering, especially in the intelligent production planning and scheduling management of manufacturing enterprises, and have completed a number of projects of the world’s top 500 enterprises. Hollysys Group introduced Professor Shi Leyuan and team members to join Hollysys and set up “Beijing Hollysys Optimization Technology Co., LTD.”.

Professor Shi Leyuan is an internationally renowned scholar, IEEE Fellow, tenured professor at the University of Wisconsin-Madison, and former Director of the Department of Industrial Engineering and Management at the School of Engineering, Peking University. Professor Shi Leyuan and his team created nested segmentation method (NP) for large system optimization, created advanced APS+ on the basis of surrendering the defects of APS, and applied this technology to manufacturing, logistics, medicine and other fields to realize the optimization of the whole process from supply chain to production to order delivery. This technology is for intelligent decision-making in the manufacturing field. In other words, enterprises have adopted artificial

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intelligence technology in the long term, medium term, short term and real-time executive decision-making to help enterprises improve efficiency and reduce costs, and have achieved land in leading manufacturing enterprises such as Bosch (Nanjing), Zhejiang Wanxiang Seiko, Kimberly-Clark, NOV.

Bosch is a leading global provider of automotive technology and services. The intelligent production planning management system implemented by Bosch Nanjing plant has been in operation for more than three years. When the OEE of manual experience management reaches 80%, it is further effectively improved, and the automation of weekly plan and daily plan scheduling is realized, greatly reducing the labor intensity of managers.

Zhejiang Wanxiang Seiko is a well-known supplier of auto parts. With the efforts of Professor Shi Leyuan and her team for more than a year, we established a management platform with production planning as the core, completed the digital construction from 0 to 1, and realized paperless workshop management and automated/semi-automated production planning/scheduling management. And the core platform based on APS+ enables SAP, MES, WMS, SCM and other systems to achieve seamless system integration.

On the basis of Hollysys’ strong automation technology, the joining of Professor Shi Leyuan and her team has consolidated the technical foundation and enriched the talent force for creating an overall solution combining software and hardware, intelligent execution and intelligent decision-making, and made unremitting efforts to promote the development of Hollysys’ industrial software system and efficiently serve manufacturing enterprises.