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Otsuka N.,1st Manufacturing Industries Solutions Division | Nishina M.,Manufacturing and Process Industries Systems Development Division | Higashihara K.,Global Products and Services Development Division | Umezu K.,Knowledge Discovery Research Laboratories | And 3 more authors.
NEC Technical Journal | Year: 2015

The optimization of spare parts inventories is an issue that is commonly found in the manufacturing industry. NEC Fielding, who are the subsidiary of the NEC Group and manage the maintenance business, also have similar concerns, because traditional statistical techniques have had limited accuracy in predicting the future demand for repair parts. The company therefore has decided to adopt NEC's big data analysis technology "heterogeneous mixture learning." This has enabled them to forecast demands with high accuracy. They have thereby succeeding in reducing by about 20% the inventory of the high-rotation parts that occupy a large share of the spare parts shipments. As the stockout risk is also estimated, this approach has allowed the company to challenge a more thorough optimization of the inventory. This paper describes the spare parts demand forecasting procedures performed at NEC Fielding by using the heterogeneous mixture learning engine and includes discussion of its resulting effects. Source

Arai S.,Manufacturing and Process Industries Systems Development Division | Hayakawa A.,2nd Manufacturing and Automotive Industries Solutions Division | Katou M.,Manufacturing and Process Industries Systems Development Division | Sekine Y.,Manufacturing and Process Industries Systems Development Division | And 3 more authors.
NEC Technical Journal | Year: 2015

Smart mobility, a new market centering around the auto industry, has led to dramatic improvements in safety/reliability, environment/ecology, and comfort/convenience made possible by equipping cars with smart technology and connecting them to the cloud. Related aspects of smart mobility include the development of autonomous vehicles and advanced driving support systems, as well as accelerating development of eco-cars such as electric vehicles and fuel cell vehicles. This paper discusses the issues that have affected the development of smart mobility (such as traffic accidents and environmental issues), public awareness and current problems, and society's efforts to solve these problems. Finally, we look at NEC's contribution to this market (image recognition technology, V2X communication technology, etc.). Source

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