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Get inside Japan's invisible behemoth to see the future of global
business Good Risks is a fascinating insight into ORIX, a global
giant whose business empire straddles the world, but which has
managed to remain out of the media spotlight for half a century.
Award winning author David Russell explains how this Japanese
company has transcended its national identity to become a global
player, and what that means for everyone else. In a series of
one-on-one interviews with senior executives at ORIX companies
around the world, readers gain a firsthand glimpse of the inner
workings of this "invisible" corporate group that controls hundreds
of billions of dollars. Interviews with the company President and
Chairman in Tokyo provide rare insight into the thought leaders at
the highest levels, and a contribution by the Chairman himself
discusses the hard realities of globalization and the keys to
success in the coming decade. The key concept that is lost in the
Japan vs. China vs. US vs. EU battle is that the business landscape
has changed drastically, making national boundaries anachronistic.
Companies such as IBM, Disney, Apple, and Microsoft long ago
stopped being "American" firms; they are global competitors that
take advantage of their deep knowledge of the US markets, but have
no special allegiance to the United States. This book argues that
this is the future of all large-scale business, as already
exemplified by ORIX. * Learn how one executive steered ORIX's
meteoric rise from an unknown start-up to an unseen global giant *
Explore the coming realities of the global business scene *
Discover why HQ location will be little more than historical
accident * See how ORIX impacts the Chinese, Indian, and American
firms that follow its lead The business scene unfolding today is
not "international" or "multinational", but an increasingly
unified, global battleground. The rise of ORIX charts the future of
business, and Good Risks provides the details and insights business
leaders need to anticipate tomorrow's changes.
Mechatronics in Action s case-study approach provides the most
effective means of illustrating how mechatronics can make products
and systems more flexible, more responsive and possess higher
levels of functionality than would otherwise be possible. The
series of case studies serves to illustrate how a mechatronic
approach has been used to achieve enhanced performance through the
transfer of functionality from the mechanical domain to electronics
and software.
Mechatronics in Action not only provides readers with access to
a range of case studies, and the experts view of these, but also
offers case studies in course design and development to support
tutors in making the best and most effective use of the technical
coverage provided. It provides, in an easily accessible form, a
means of increasing the understanding of the mechatronic concept,
while giving both students and tutors substantial technical insight
into how this concept has been developed and used.
This book focuses on how the BOXES Methodology, which is based on
the work of Donald Michie, is applied to ill-defined real-time
control systems with minimal a priori knowledge of the system. The
method is applied to a variety of systems including the familiar
pole and cart. This second edition includes a new section that
covers some further observations and thoughts, problems, and
evolutionary extensions that the reader will find useful in their
own implementation of the method. This second edition includes a
new section on how to handle jittering about a system boundary
which in turn causes replicated run times to become part of the
learning mechanism. It also addresses the aging of data values
using a forgetfulness factor that causes wrong values of merit to
be calculated. Another question that is addressed is "Should a
BOXES cell ever be considered fully trained and, if so, excluded
from further dynamic updates". Finally, it expands on how system
boundaries may be shifted using data from many runs using an
evolutionary paradigm.
This book focuses on how the BOXES Methodology, which is based on
the work of Donald Michie, is applied to ill-defined real-time
control systems with minimal a priori knowledge of the system. The
method is applied to a variety of systems including the familiar
pole and cart. This second edition includes a new section that
covers some further observations and thoughts, problems, and
evolutionary extensions that the reader will find useful in their
own implementation of the method. This second edition includes a
new section on how to handle jittering about a system boundary
which in turn causes replicated run times to become part of the
learning mechanism. It also addresses the aging of data values
using a forgetfulness factor that causes wrong values of merit to
be calculated. Another question that is addressed is "Should a
BOXES cell ever be considered fully trained and, if so, excluded
from further dynamic updates". Finally, it expands on how system
boundaries may be shifted using data from many runs using an
evolutionary paradigm.
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