Journal of Fiber Bioengineering & Informatics, 13 (2020), pp. 137-150.
Published online: 2020-11
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In the last few decades, there has been a surge of interest in the development of fashion business
models to assist fashion companies in reducing the cost and to efficiently manage business processes.
These business models are developed to manage the internal operations within the company through
adopting complex formulae and algorithms to reduce the waste at each procedure. However in today’s
fashion business market, global sourcing and global corporation are much more important than before.
The relationship between the fashion company and its suppliers, the relationship between the fashion
company and its customers, and the management of these relationships. All of them are crucial parts
in the business strategy. The competition between fashion companies is no longer in company level but
instead is supply chain versus supply chain. Trying to take the massive information into consideration
by using traditional digital technology is not a wise decision when developing business strategy. Further
thinking, the information flow through the supply chain has the same characteristics “5Vs” as big data:
Volume, Velocity, Variety, Value and Veracity. Put another word: the management of information flow
in supply chain is the management of big data. There is no doubt that the digital technology under big
data environment will fundamentally change the whole supply chain.
The first objective of this paper is to identify the key weakness of lean and agile logistic supply chain
models in literature. The second objective is to point out the technology challenges to develop the
Tomorrow’s models which build an agile response upon a lean platform: How to set up virtual networks
from the early designing stage to the last consuming and feedback stage? How to set up the information
standardization and synchronisation process in the system? How to specify the consumer requirements
in fitting effects and functional performance of garments? The last objective is to discover the digital
technology under big data environment which enable the information efficiently to flow through the
whole supply chain.
In the last few decades, there has been a surge of interest in the development of fashion business
models to assist fashion companies in reducing the cost and to efficiently manage business processes.
These business models are developed to manage the internal operations within the company through
adopting complex formulae and algorithms to reduce the waste at each procedure. However in today’s
fashion business market, global sourcing and global corporation are much more important than before.
The relationship between the fashion company and its suppliers, the relationship between the fashion
company and its customers, and the management of these relationships. All of them are crucial parts
in the business strategy. The competition between fashion companies is no longer in company level but
instead is supply chain versus supply chain. Trying to take the massive information into consideration
by using traditional digital technology is not a wise decision when developing business strategy. Further
thinking, the information flow through the supply chain has the same characteristics “5Vs” as big data:
Volume, Velocity, Variety, Value and Veracity. Put another word: the management of information flow
in supply chain is the management of big data. There is no doubt that the digital technology under big
data environment will fundamentally change the whole supply chain.
The first objective of this paper is to identify the key weakness of lean and agile logistic supply chain
models in literature. The second objective is to point out the technology challenges to develop the
Tomorrow’s models which build an agile response upon a lean platform: How to set up virtual networks
from the early designing stage to the last consuming and feedback stage? How to set up the information
standardization and synchronisation process in the system? How to specify the consumer requirements
in fitting effects and functional performance of garments? The last objective is to discover the digital
technology under big data environment which enable the information efficiently to flow through the
whole supply chain.