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New Value Creation

Collaborative Innovation Led by Industry-Industry Partnerships

With the framework of competition undergoing a major transformation following the advent of the AI and IoT era, monotsukuri (manufacturing) will require novel thinking and approaches along with innovation with an eye toward the future of the world in five and 10 years into the future.
Daikin is tackling this challenge around the world using collaborative innovation led by industry-industry partnerships.

Commercializing a New Business Model in the United Republic of Tanzania

In November 2019, Daikin began a demonstration test on a new busines model in the United Republic of Tanzania with WASSHA, which provides electricity services to non-electrified areas of Africa using IoT technology. The demonstration test involved examining commercial viability of a subscription-based service for Daikin's highly efficient air conditioners at small shops and homes in Tanzania utilizing WASSHA's business know-how, human resources and sales network in Tanzania. The three-month test ran between November 2019 and February 2020 and included planning of a subscription-based service for air conditioners and building a payment system using mobile money. Daikin and WASSHA hope to fully launch the business in fiscal 2020.

Meanwhile, Daikin is now working to roll out the air conditioner business in Africa, which is today expected to see steady population growth over the long term. We are expanding the business from India to East Africa by exporting higher efficiency air conditioners with an inverter developed and produced in India, which similar to Africa requires stable operation despite its unstable electricity supply. In September 2019, we opened an office in Nairobi, Republic of Kenya, and began work on market research locally as well as tapping into local sales networks.

Improving Work Efficiency and Quality with Connected Workers

In November 2019, Daikin and Fairy Devices Inc. jointly began working on an initiative to improve work efficiency and quality through the creation of connected workers*1 in service areas such as maintenance and inspections of air conditioners. Fairy Devices will provide its voice recognition, edge AI, and data analysis technologies, while Daikin will contribute its frontline expertise globally, as the two work together to resolve issues faced by service operations.

Specifically, the THINKLET™ smart wearable device and technology stack*2 developed by Fairy Devices and an online app for operational support developed by Daikin will be combined to develop a remote work support solution where experienced service engineers can support and train workers remotely. The two companies aim to use this solution to quickly foster talented service engineers while at the same time improving the technical skills and decision-making abilities of workers not only in Japan but around the world, and realizing high quality frontline operations that are highly efficient and sound.

*1
A collective term representing frontline workers able to receive various forms of support and required information even in remote locations by using a wearable device or sensors.
*2
An API or AI engine platform comprising a collection of various technologies that can function individually or in an integrated manner.

Overview of Remote Work Support Solutions

Overview of Remote Work Support Solutions

Establishing a Collaborative Platform Utilizing Data on Air and Space

Daikin has established a collaborative platform called CRESNECT under which it works with a number of partner companies to utilize data gathered from air conditioners in order to come up with new value and services encompassing air and space. Using data that can be gathered from air conditioners, Daikin and the partner companies study how to improve office productivity and maintain worker health and come up with new value and services.

As the first project under CRESNECT, in July 2019 Daikin and partner companies launched demonstration testing aimed at realizing the office of the future at point 0 marunouchi, a membership-based co-working space in the Marunouchi district of Tokyo. In this trial, members of point 0 marunouchi experience spatial content that is conducive to more efficient and healthy working and that is made possible by pooling state-of-the-art technologies, data, and know-how possessed by the CRESNECT partner companies. The aim is to test out how to build a healthy, comfortable office environment and contribute to the creation of new products and services.

Membership-based co-working space, point 0 marunouchi

Membership-based co-working space, point 0 marunouchi

Image of spatial content

Image of spatial content

Daikin and Hitachi Promote Collaboration to Create Next-Generation Production Model Using IoT

Daikin and Hitachi, Ltd. embarked on a collaborative project to create the next-generation production model using IoT to support skills transfer from expert workers as of October 2017.

Combining Daikin's brazing process, which is part of the manufacturing of air conditioners, and Hitachi's advanced image analysis technology, the solution core of the company's Lumada IoT platform, the demonstration project will digitalize the skills of expert workers and trainees so that these can be compared and analyzed in verifying a production model system. The aim of this project is to achieve uniform quality, improve productivity and foster talent at Daikin's production bases inside and outside of Japan.

In fiscal 2018, a support system for training in brazing techniques was incorporated and began operation at three bases: the Sakai Plant, Shiga Plant, and Daikin Ales Aoya Global Training Center. Toward incorporation of this system at all worldwide bases, in addition to using it for actual skills training, we are improving the system for better ease of use by, for example, standardizing teaching processes using the system, improving display methods, and making it multi-lingual. Going forward, we plan to begin operating this system at overseas plants in Shanghai and Houston.

As a new effort utilizing image analysis, we have begun R&D into technology for automatically measuring actual working time and work details of production line workers using images taken with cameras installed on the lines. In fiscal 2020, we plan to begin verifying this technology on the frontline of our production operations.

Expert worker and trainee (photo courtesy of Hitachi, Ltd.)

Expert worker and trainee (photo courtesy of Hitachi, Ltd.)

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